• Tell him that everyone has a place. He's the best at what he does. If he were to do a job that wasn't his, we'd have to fire the person who's doing it... now, and that wouldn't be fair.
     more

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  • Seek additional remuneration by talking with the manager..if that doesn't work seek solutions through the human resource department

  • Talk to a lawyer, sue him for. He is taking you for granted.

AI scams targeting businesses are surging: Here are the top 3 threats your team is likely to face in 2026 (Brains Byte Back Podcast)


Imagine a company interviewing a candidate for a senior IT role. The résumé checks out, the background looks solid, and the person even passes multiple video interviews. It wasn't until the new Mac that the employee received was immediately being loaded with malware that suspicion arose.

After a thorough investigation, the shocking truth comes out: the "engineer" was a deepfake, part of a... sophisticated operation using AI to infiltrate a hiring process.

"It's no longer just about breaking into systems -- attackers are targeting humans, and AI makes it easier than ever," says Sanny Liao, co-founder and chief product officer at Fable Security. With AI-powered attacks on the rise, small and mid-sized businesses are facing threats that can mimic employees, clone voices, and exploit rapidly adopted AI tools.

The numbers tell the story. In 2024, 90% of U.S. companies reported being targeted by cyber fraud, with AI-driven attacks -- from deepfakes to voice phishing -- surging 118% year over year. While businesses are learning how to leverage AI, attackers are becoming even quicker at weaponizing it.

Cybersecurity experts are discovering dozens of ways AI is assisting attackers in increasing sophistication and creativity. On the latest episode of Brains Byte Back, Liao walks host Erick Espinosa through the top three AI-driven scams business leaders need to watch in 2026 and shares practical steps to stay ahead.

1. Synthetic Identities and Fake Employees

Fake résumés and forged references have long been a concern, but AI has taken the threat to a new level. Entire fake employees can now be created with convincing IDs, references, and even live video interviews that don't glitch.

"The AI technology has gotten so good that it's almost impossible to tell who's fake over Zoom or a phone call," Liao explains.

Remote-first companies and those hiring internationally are especially vulnerable. Once inside, a fake employee is treated like any other team member -- gaining access to sensitive systems and critical data. Liao recommends a simple but powerful measure: in-person verification.

"Anyone doing remote hiring needs in-person identity verification. That's the only reliable checkpoint left," she says.

Liao referred to the previous KnowBe4 example, in which the company unknowingly hired a North Korean operative.

¨This is a well-organized, state-sponsored, large criminal ring with extensive resources,¨says KnowBe4 on their post detailing what unfolded.

¨The case highlights the critical need for more robust vetting processes, continuous security monitoring, and improved coordination between HR, IT, and security teams in protecting against advanced persistent threats.¨

While this story made headlines, Liao points out that fake employees seeking remote work have become a common occurrence.

¨We actually talked to a bunch of security leaders that we knew, and what shocked me was that about half of the security leaders I talked to told me that this is not new. We are already being targeted by this,¨ added Liao.

The stakes go beyond payroll fraud. Attackers can manipulate internal systems or exfiltrate proprietary information, turning a single fake hire into a company-wide breach.

Phishing used to mean clunky emails riddled with typos. Now, AI has made social engineering smarter, faster, and more personalized. Attackers can research a company's tech stack, identify high-value employees, and even clone voices to impersonate trusted colleagues.

A striking example is the ShinyHunters attacks on companies, including Google, Adidas, and Workday. Using AI-driven voice phishing, attackers convinced employees to install malicious apps on Salesforce, exposing client data and sensitive internal systems.

"Attackers can now figure out which companies use which tools almost instantly. It's knowledge on tap," Liao says.Her advice is straightforward: if an unexpected call comes from someone claiming to be IT or HR, hang up and call back using a verified company number. These attacks aren't confined to phones either; Slack, WhatsApp, and other communication platforms are also being targeted.

"Attackers follow the platforms you use. If you're on Slack, they'll try Slack. If it's Zoom or WhatsApp, they'll shift there," she notes.

Liao advises that if you receive a call from anyone claiming to be IT or HR, use caution by hanging up and contacting them from a designated number that reassures that you are connecting with someone legitimately from that department.

3. Insecure AI Adoption

The rush to adopt AI tools for automation, coding, and productivity is creating new vulnerabilities. Startups and enterprise teams alike are exposing themselves to risks that never existed before, from malware hidden in open-source packages to accidental data leaks into public AI models.

"AI is new, and everyone wants to move quickly. But the pace of adoption is amplifying vulnerabilities by design," Liao warns.

A high-profile case in 2023 involved a Samsung developer who uploaded the company's codebase into a personal AI tool that used the data for public training -- effectively exposing proprietary information.

Even enterprise AI products can introduce gaps if used without proper oversight.

Liao says this is a cautionary example that reflects the unintentional errors that can happen when using these types of AI systems. The challenge is not just malicious actors; human error in a fast-moving AI landscape creates blind spots that attackers can exploit.

Companies need AI to stay competitive, but they must do so deliberately, with security and governance prioritized throughout the process.

Attackers aren't just hacking tools anymore; they're targeting people. "At the end of the day, if they can get around your tools and get to your people, they win," Liao emphasizes.

For business leaders, the takeaway is clear: verify identities in hiring, train employees to recognize AI-powered social engineering, and adopt AI tools cautiously with security oversight in place. Staying ahead isn't about avoiding AI; it's about understanding how it can be weaponized and preparing your team for the ¨what ifs¨.

Companies will continue to leverage the technology to grow, and attackers will continue to harness it to exploit weaknesses in ways that are faster, smarter, and more convincingly than ever.

Sanny Liao: Hi, everyone. My name is Sanny Liao. I am the co-founder and chief product officer at Fable Security. We are a human risk management solution that work primarily with enterprises to help prepare their employees for the latest threats that's facing them.

Erick Espinosa: Sanny, thank you so much for joining me on this episode of Brains Byte Back. Sanny, and those of you listening, on Brainspite Back, we love to talk about how companies are using AI to automate work, basically to make things a lot easier. But I feel like what we don't talk about enough is how attackers are using those same tools. And this conversation matters in today's world where AI is just not influencing our work, but I guess our sense of security is the best way to put it.

We've heard of the scams hit the news, and I mentioned this to you, Sandy, about like the most typical scams, personal scams like grandfather, people using AI voices to mimic grandchildren. That's happening on the personal side of things. But at the same time, in the enterprise and startup world, they are having the ability to basically gather information, mimic trusted people's voices, and probe for weak spots.

And this is happening really, really fast. Some teams still think that AI scams are something that only hit big enterprises, but we're actually discovering that the reality is that small and mid-sized companies are easier for targeters or attackers to study, impersonate, and manipulate.

So today we're going to focus on the three threats that you see as the fastest growing, Sandy, some that have made some global headlines, and as well, we're going to be talking about basically the common things that startups should be focusing on and what signals founders should pay attention to when it comes to these types of scams.

But before we dive into that, Sandy, I'd love to learn a little bit more about your background. Can you give us some insight into what kind of led you into fraud prevention and identity risk?

Sanny Liao: Yeah, absolutely. So I actually started my career as a PhD researcher in economics. After I got my PhD, I kind of got to the point where I really wanted to make things that people can feel, can really have real-world impacts.

So at the time, I was going to school at Berkeley, and I ended up working with this small ad tech startup out of San Francisco called Telepar. That's where I actually got introduced to, oh my God, for the first time, I realized the power of technology, how it can actually change our lives.

And I remember one of the thoughts that I had at the time was this ad tech technology was so powerful beyond kind of any of us actually even realized, but it's a pity. It's being used to get people to click on ads.

So a couple of years after that, a few of my friends went off to start a cybersecurity startup called actually Abnormal Security. And I knew nothing about email security. It was just a group of people that I really, really enjoy working with. And I thought, this sounds good, right? We can figure out email. Like how hard could it be? It ended up being actually one of the best, I think, decisions I've made in my life.

So I ended up with that team. We built Abnormal Security from the very ground up.

Started with literally just 10 of us in the back of our VC's office trying to figure out what BEC meant. BEC stands for Business Email Compromise.

To Abnormal now, obviously, it's a very successful cybersecurity startup. I think one of the fastest, actually fastest growing cybersecurity startup in the world right now.So that was actually my kind of introduction into cybersecurity.

The moment I knew I wanted to stay in cyber forever was at the time I had a four-year-old child.

And he asked me, he's like, Mom, what do you do in your job? And I'm there thinking, how do I explain email security to a four-year-old?

So I said something along the line of, there are bad guys out there who's trying to steal people's money and stuff. Mom stops the bad guys on the internet. And he stopped for a second. He said, like Batman?

That was the point. I'm like, okay, if my child thinks that I'm Batman when I go to work, I think I'm doing something right in life. But that was my start in cyber.

Erick Espinosa: But you're helping a lot of businesses in a way. It's kind of like, I don't want to say good versus evil, but obviously you're stepping up the game of a lot of these companies in terms of trying to protect them. And right now, I mean, you got into it when tech was a thing, but now tech is a necessity, and especially when it comes to AI.

But when did you start noticing that, I guess first notice that AI started changing how attackers are behaving?

Sanny Liao: Yeah, this actually started even toward the end of my time at Abnormal. So Abnormal Security, what they did is that they stopped sophisticated email-based threats. And we actually started seeing, this is around kind of 2022-ish, that email-based threats started evolving very quickly from, we used to see a lot of bad grammar used in the emails. There's bad formatting. It's very easy to tell, find some of these tales of email-based attacks to all of a sudden over the course of a year, all the grammar mistakes and all the spelling errors just disappeared.

And it was this huge, actually, increase in both the scale of attacks as well as the sophistication and their ability to bypass a lot of the detection tools.

So that was kind of already at that point, we started seeing that, hey, attackers are in fact adopting AI. They're one of the first people to adopt AI, and they're going to actually, they're going to evolve just as fast as the AI technology is evolving. That was the beginning of it.

And the reason we actually left Epnormal to start Fable Security was, if you remember in 2023, when the MGM resource attack happened, that actually happened over voice phishing, right?

So someone caught up MGM resource IT helpdesk and actually bypassed their MFA, got into a system, deployed ransomware. And that was a case where we realized that, like, wow, attackers are now actually able to target precisely, right? They knew exactly who to target, who this guy was, who had the super admin privilege.

They were able to get in, target him, execute a very successful voice phishing attack. So it's not something you could have stopped with any of the tools that most companies had. And that was the point we realized that, we're like, hey, I think there's something here, right? Attackers are, at the end of the day, focused on the human.

How can they get into, how can they get around all the technical tools a company has and get to the human at the end? And that is happening beyond one surface area. It's not just email anymore. There's other ways that attackers are finding them. And AI has made it tremendously easy and powerful for attackers to do that.

Erick Espinosa: That kind of sets the stage thinking about, because when a lot of people think about when AI started becoming a thing, it was during the pandemic. And then that's when people were working from home.

So there's this relationship in terms of when the technology started kind of like, thriving and growing really fast. And then when people were actually doing things at home and it became this kind of like this relationship in order for them to basically kind of open doors and access companies in other ways.

And I found this quote here. It's kind of interesting. It speaks to last year. It says, in 2024, 90% of US companies reported that they had been targeted by cyber fraud and generative AI tactics, such as deep fakes or deep audio, rose 118% year over year. So that number kind of is, I mean, it's mind-boggling.

And you think now, even just this year, when you're seeing deep fakes, I think Banana was the one that I just saw most recently. And I just started playing around with Sora and the fact that it looks so real, it's really hard for people to be able to differentiate what's real and what's fake.

But apparently with that same study, it says, despite the growth and success of cyber fraud methods, most executives report confidence in their, basically 90% confidence in themselves and 89% confidence in the ability of their employees to spot deep fakes, business email compromise that you mentioned, the scams, and other advanced fraud attacks.

I feel like that's a high number that they're very confident. But do you think that number reflects, I guess, the companies that you've connected with or that you found that you feel like maybe they're starting to realize, no, actually there's a problem here?

Sanny Liao: Yeah, I think sometimes people don't know what they don't know, right? So you can only speak to the attacks that you may have detected, but not necessarily ones that have bypassed. It's interesting that you talked about deep fake as something that a lot of companies deal with.

If you remember last year when KnowBe4 talked about how they accidentally hired a North Korean fake IT worker, so of course it made headlines, you should feel free to look it up. It's actually quite crazy that a North Korean fake IT worker basically pretended to be a software engineer and got hired by a security company.

So when that happened, we actually talked to a bunch of security leaders that we knew, and what shocked me was that about half of the security leaders I talked to told me that, oh, this is not new. We are already being targeted by this.

There was one company where they have a very strong brand. They're really kind of out there in the news quite a bit. They even said that they actually they're hit by this type of attack almost every single month. And what we saw was that the more a company has remote workers, which is something that we've seen really changing a lot in the last couple of years, the more they are vulnerable to these type of fake identities and fake employee attacks.

Erick Espinosa: So that actually leads to the first threat, which was synthetic identities and fake employees. And like you mentioned, apparently it's been around for years. But what is really changing now?

I imagine with this type of thing that most of the companies that would be targeted would be IT companies because a lot of them work with employees across different countries, right?Or in different regions. What do you think is changing right now that's making it even more of an issue?

Sanny Liao: Yeah, I mean, it's just as attackers, actually, they are creatures of opportunity, right? So with the introduction of AI, what it has actually changed is that it made it very, very easy for attackers to execute on a fake employee type of attack. A lot of companies, right, if they are hiring more workforces, they're really relying on a couple of verifications to figure out who these people are, right?

They're looking at their resumes. Maybe they're doing a background check. But all those things are actually very easy things to deepfake now with the assistance of AI. The Nobi, for example, was a good one where they actually went through all the vetting, right?

They even looked at this guy's driver's license, but all of that was deepfaked. And that, of course, led to actually a huge incident because once the attackers are in, they now are treated as a normal employee.

They have access to your data, to your systems. So in the least worst case, they're doing it because they're trying to kind of make money, right? By having, you know, pretending to be someone else to get a job. But in the more egregious cases, they're getting in there because they want the access to your systems.

They want access to your data. So it's, you know, it's basically like the, it just, we, AI made it a lot easier for attackers to successfully execute on this type of attack.

Erick Espinosa: And with that information, I guess they could do ransoms. They could ask, obviously, for large amounts of money. What checkpoints, I guess for a smaller business, what type of checkpoints do you think they need to focus on to have them catch cases like this that can potentially be, I guess, somebody posing as somebody that they're not to potentially get a job?

Sanny Liao: Yeah, yeah. So I would actually recommend for these cases, the AI technology has gotten so good that it's almost impossible to completely tell who's a fake person versus a real person over Zoom or phone call, right?

Even before, if you remember like a year ago, if you actually had someone move their face, put a hand over their face, a lot of the AI technology then they start kind of glitching out. That's actually no longer the case.

The AI technology has gotten so good that that doesn't really cause an issue anymore. So I would actually recommend that anyone who's doing remote hiring, you need to actually have a process where you're doing in-person verification of identity.

Erick Espinosa: Okay. So like physically have somebody, I guess maybe hire somebody in, I don't know, like a trusted third party maybe to go and meet the person, collect documents, things like that?

Sanny Liao: Exactly.

Host (Erick Espinosa): Okay. That's smart. And then the other one that you'd mentioned here is AI generated social engineering. Can you explain what that is exactly, what that looks like in picture?

Sanny Liao: Yeah, absolutely. So when most people think about social engineering, they are thinking about a email they receive, right? Or a WhatsApp they receive where they are being kind of tricked into clicking a link, you know, send a gift card somewhere, etc.

But what attackers have actually figured out is how to use AI in very creative and powerful ways to make social engineering attacks a lot more powerful and actually a lot more scalable.

So what I mean by that is that there's the obvious one, which is, hey, we're seeing that attackers are using AI to deep fake voices. So for example, in the latest Shiny Hunters attack, there were research where they found that attackers are using AI to actually impersonate individuals when they are impersonating to help that specifically when they are calling employees to actually get their, to get them to install a Salesforce app and whatnot.

That's the obvious one, right? Like it's like, yes, AI is really great at deep faking stuff. What the not obvious one that's happening that's actually impacting everybody is that attackers are also using AI to help them do research a lot better.

So I'll give you an example. So in the Shiny Hunters attack, the way attackers, the way they actually found their targets is they looked for companies that use Salesforce and they looked for people who have Salesforce access. Now, you know, if I was doing this one by one, right before AI, it actually takes, it's like a non-trivial amount of work for me to figure out who's using Salesforce, right? There's a lot of people that use Salesforce. There are a lot, right?

But for me to pinpoint down who exactly, which companies use Salesforce and which are the individuals who had this access, it takes a bit of work. Now with AI, that type of research is almost instant.It's knowledge on tap, right?

So that's kind of the example where you can assume that attackers are actually using AI to do this mass reconnaissance so that they can then figure out what is like the most targeted attack they can execute that's going to give them the biggest return.

And the unfortunate part is that like this is something that you can't stop attackers from using AI, right? They're extremely motivated to do so, but it just means that all the attacks we're receiving are going to be a lot more personalized and targeted. And it's going to be a lot more, a lot more convincing for the recipients as well.

Erick Espinosa: I kind of connect that to like, I mean, companies now, even when they want to personalize information, I guess to target customers, you know what I mean?

Like a lot of the information is online and it's just easy access. And, you know, AI could basically just collect that information and tell you a story about that person automatically. Is there any, I guess going off of that, is there anything I guess online that you would recommend that companies don't kind of share?

Because like, how would they find that these companies are using specifically Salesforce?

I imagine that's information easily, like readily available online, no?

Sanny Liao: That's quite easily available. If I were attacker, it's pretty easy to look up, hey, if a company is hiring for, for example, Salesforce developers, that's a telltale sign, right? That they are using Salesforce and, you know, every company have to recruit.

So these jobs are publicly available.

So there's, I think there's some amount of risk, right, that we can mitigate...

Erick Espinosa: There's always going to be some activity we can't fully stop. Attackers will get access to certain information. One example you mentioned is the Shiny Hunters vishing attack. Am I saying that right?

Sanny Liao: Yes. The attack is still unfolding. It first came out in the news when Google, Adidas, Workday and a few others reported that attackers targeted sales teams with access to Salesforce. They used two tactics.

They called employees while pretending to be IT support and convinced them to install a malicious third-party app. That gave the attackers access to Salesforce, which exposed client emails, contact information and other data. The biggest impact was the loss of trust between companies and their clients.

The group also pretended to be HR and used that story to get employees to reveal personal information. That let the attackers bypass MFA and get deeper into Salesforce.

More recently, they compromised accounts belonging to Gainsight employees and inserted malware into a Gainsight Salesforce extension. Gainsight is widely used, so that created another wave of data loss.

Erick Espinosa: I imagine the employees felt violated. When you meet with companies, what should founders or employees watch for when they get calls or emails that feel off?

Sanny Liao: If someone calls claiming to be IT support or HR, don't trust it. Almost no legitimate IT or HR team will call you out of the blue. If you're unsure, hang up and call back using the number you already know belongs to your company. Treat every unexpected call with suspicion.

Erick Espinosa: What about Slack? Could attackers get in there by pretending to be someone from a vendor and message employees?

Sanny Liao: Yes. We've seen attacks happen over Slack, WhatsApp and other channels. Many international companies use WhatsApp heavily. Attackers follow whatever platform you use. If you're on Slack, they'll look for you there. If it's Zoom or WhatsApp, they'll try those too. Once companies get better at handling phone-based phishing, attackers shift to the next channel.

Erick Espinosa: The third threat you mentioned is vulnerabilities created by insecure AI usage. This one is common. Can you walk through the Shai-Hulud example and what insecure AI usage looks like?

Sanny Liao: Insecure AI usage is a major concern. Every company is adopting AI to stay competitive. The ones who adopt it quickly and correctly will have an edge. The problem is that rapid adoption creates new vulnerabilities that companies never had to deal with before.

The recent Shai-Hulud attack targeted NPM packages. Attackers compromised GitHub accounts of open source contributors and slipped malware into widely used packages. Most startups rely heavily on open source, so when they pulled the latest versions, they unknowingly pulled in malware.

This connects to AI because tools like Cursor and Claude Code make coding faster and more automated. If you rely heavily on AI to write or review code, you may not notice what packages are being added or how they behave. Without deliberate oversight, it's easy to miss these risks.

Asana also reported a flaw in their MCP server. Tenants could accidentally access each other's data. There's no established playbook for building these AI-driven systems, so companies are learning as they go while moving fast. That creates new vulnerabilities by design.

Erick Espinosa: It reminds me of the crypto era. People rushed in, got sold products by people trying to make quick money and ended up exposing themselves. Now you see the same with AI tools that ask for deep access to company data. Have you seen cases where companies jumped into AI too fast and realized later they made themselves vulnerable?

Sanny Liao: Yes, and there's no simple solution. It's not just small third-party AI tools. Even large enterprise AI products ship with new vulnerabilities. Google launched its coding tool and a vulnerability was found the next day.

AI is new and everyone wants to move quickly, so issues are going to happen. There was a well-known case in 2023 when a Samsung developer uploaded the entire company codebase into a personal ChatGPT account. The personal version uses data for public training, so the code became publicly accessible. Samsung couldn't get it back. That wasn't an attacker. It was an unintentional mistake during early adoption.

Both intentional attacks and unintended misuse create real risks. Companies need AI to stay competitive, but the pace of adoption is amplifying vulnerabilities.

Erick Espinosa: I think you're also a great example of how AI is creating new jobs. While there are attackers, there are also new opportunities in this field. Security roles have always been needed, but now people see the value more clearly. For anyone interested in getting into this space, it feels like a career that isn't going away anytime soon.

Sanny Liao: Absolutely. This is a really exciting time, especially for people who are just entering the workforce. No one has a degree in how to use the latest AI tools. It's a blank slate. You have the chance to learn cutting-edge tools, come up with creative ways to apply them, and create value for a business. It's a great place to be.

Erick Espinosa: I agree. Sanny, thank you for your insight and for breaking this down. You gave our listeners a clear view of how attackers are stepping up their game. For anyone who wants to learn more or follow your work, what's the best way to find you online?

Sanny Liao: You can find our company at fablesecurity.com. I'm also on LinkedIn. Feel free to connect with me. I enjoy talking about cybersecurity and the latest AI threats. Always happy to have those conversations.
 
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  • First don't speak as junior instead speak as a mature adult who is able to handle tuff situations. You are competent only when you can solve... situations without supervision. Good luck more

  • Hullo Martin Waters sorry about that, in my culture we have saying going like " even the young can drum and the to old to dance so they would have... given you chance" BUT take heart one day you will be there God as our provider to all.  more

How to Find Employees in a Competitive Job Market


The demand for specialized talent is rising fast, but most hiring strategies are stuck in neutral. In this guide, I break down the challenges to finding employees today and how to course-correct.

The saying, "Good help is hard to find," rings loud and true. Sourcing skilled candidates has become a persistent challenge, especially for specialized and technical roles.

Even with competitive... compensation packages and modern recruiting tools, many organizations are still falling behind in finding employees with the right skills.

And the data reflects that reality: 74% of employers say they're struggling to find skilled talent.

That's a clear sign to go back to the drawing board to redesign the traditional hiring approaches still in effect. But before real progress can be made, you have to understand the factors standing in your way.

The challenges in hiring today

Market competition isn't the only reason finding employees is difficult. There's a growing set of challenges slowing down your recruitment efforts.

1. Tight competition for skills

New technology is changing how work gets done, but recruiting for the skills to keep up hasn't kept pace. Many of today's roles depend on skills and tools that didn't exist years ago, and the demand is growing.

By 2030, the importance of AI and big data skills is projected to increase by 87%, making them the most sought-after capabilities.

But technical skills aren't the only ones in high demand. Soft skills, such as creative thinking, resilience, and leadership, are also on the rise.

Even though more people are developing these skills, there still aren't enough professionals with the expertise you need to support modern operations.

2. Budget constraints

65% of HR leaders expect flat or reduced budgets. Even the strongest hiring strategy hits a wall when budgets tighten.

Keep in mind that it still costs $4,700 on average to hire an employee, and that number increases depending on the role and required competencies. But regardless, hiring teams are still expected to fill roles quickly and compete for top talent, even with fewer resources.

3. Overwhelming volume of applications

In theory, more applicants should be a good thing. In reality, it's causing a major bottleneck in the application process. Recruiters are drowning in the sheer volume of applicants.

Oftentimes, they're receiving hundreds to thousands of résumés per role, with only a small number meeting the essential requirements.

Executive headhunter Nicole Kaiser described today's hiring landscape as recruiters "drinking through a fire hose of applications," which is exactly how it feels.

The upsides and blind spots of AI in hiring

AI in recruitment has added real efficiency to the hiring process, from résumé parsing to automated scheduling, but it's also introduced new challenges.

Résumé parsers may flag promising candidates too late in the process, or filter them out altogether based on formatting or phrasing. While these tools save time upfront, they make it more challenging to spot unconventional experience and transferable skills.

Pressure to regulate and mitigate bias in AI hiring tools is also increasing. Several jurisdictions now require transparency around how AI is used in hiring. That means more oversight and more documentation for teams that heavily rely on third-party platforms.

The best talent sourcing methods

I reviewed the daunting challenges keeping you from hiring your best employees, but I don't want you to feel defeated. Like with any obstacle, you have to move strategically to accomplish your objective.

If you're trying to nail down how to find employees going forward, you have to refine how you source them. The candidate sourcing methods below aren't new. What is new is how you'll use them.

I'll explain how to make the right adjustments to get the most out of these strategies and secure today's talent.

Job boards

The days of copying and pasting job posts have made their exit. Candidates scroll past vague listings. If you want to stand out, write job descriptions that are clear and realistic to the role.

Of course, you want to include the essentials -- job title, job summary, a list of responsibilities, compensation -- but you also want to highlight your Employee Value Proposition (EVP).

Your EVP explains why a candidate would want to work there and what they gain in return. Don't be afraid to get creative. You really want to think about what your company has to offer besides compensation and benefits.

Are you making measurable progress toward sustainability? Say that.

Do you invest in your employees through workshops, certifications, or career growth stipends? Include that.

Are your teams flexible, collaborative, or tackling meaningful challenges? I strongly advise making it known. These are the extras many candidates are seeking, especially Gen Z, who value purpose over salary.

Once your job description is dialed in, it's time to optimize your job post. That's right, just like your SEO, you want to optimize your job post with keywords that'll increase your visibility on job boards like LinkedIn, Indeed, and ZipRecruiter.

For example, ZipRecruiter's smart matching technology analyzes the keywords in job titles and descriptions. So if you're hiring for a customer success manager, it's important to include specific keywords such as:

* SaaS onboarding

* Client retention

* CRM experience

* Post-sale implementation support

These keywords help ZipRecruiter match the post with candidates who've held similar roles or have these terms in their resumes. Optimizing your job posts makes sure that your listing reaches candidates with the right background and surfaces in relevant search results.

Referral programs

Referral programs expand your talent pool by granting you access to both passive and active candidates. Your employees essentially become brand ambassadors.

They can explain the reality of the role and answer questions long before an interview is scheduled. Plus, referral programs lower job advertising costs, giving you more bang for your buck if you're working with a tighter budget.

If you're starting from scratch, keep it simple. Focus on one or two roles that consistently take the longest to fill. This allows you to test the program and iron out the wrinkles in the process.

Then determine the incentives. You can offer cash bonuses, extra PTO, curated experiences, or even paid trips. The main point is to select what fits your budget and also piques your employees' interest.

Universities and local programs

I'm a firm believer in connecting with people who are actively developing the skills I'm looking for. In my book, it's one of the best ways to build a talent pipeline.

Colleges, trade schools, and certification programs are filled with candidates learning exactly what your organization is missing. Start by reaching out to the career services office at the institutions that align with your hiring needs.

You can participate in job fairs, guest lectures, and mentorship programs. You can set up an internship or post-graduation employment program.

And don't overlook non-traditional paths. Some local programs and bootcamps train professionals in niche areas, like cloud computing and digital literacy.

Their goal is to have employment lined up for their new certification holders, and you need professionals with specialized skills. It's a win-win!

You can also tap into online education programs. Some online platforms, like edX, offer a job board exclusively to their students so they can find work as soon as they complete their program.

Social media recruiting

When many people think of social media recruiting, they picture posting their job listing on the company page and having some employees share it on their feeds.

Sometimes it works, sometimes it doesn't. The results aren't consistent, and you're left wondering if it was worth it. To take it in the right direction, consider using social media recruiting platforms that place your jobs directly in the feeds of your ideal candidates.

Platforms, like HireSocial by CareerArc, boost your listings' reach to both active and passive candidates. These platforms also make it easy for applicants to apply with just a few clicks. You can interact with prospective candidates with direct messages or answer their questions in the comments before they apply.

Future-proofing your talent pipeline

The demand for specialized skills will continue to increase as we approach 2030, and at the same time, the skills in demand will change. To prepare for such an ever-changing future, again, strategy is key.

Skills-based hiring

Skills-based hiring means you're intentionally recruiting the people who demonstrate the abilities you need, versus focusing on their degree. Shifting the attention to skills helps you build a workforce that's adaptable and growth-oriented.

Start by identifying the core skills your company thrives on today and the emerging skills you'll need over the next one to three years. Those are the skills your hiring team will prioritize.

Workforce planning

Identifying the core skills you need sets up the foundation for proactive workforce planning. I have a genuine soft spot for workforce planning.

Ultimately, I love how it makes you step back and ask:

* What skills do we already have?

* Where are the gaps?

* What will we need six months from now? A year from now?

* Can we train for it, or do we need to hire for it?

To answer, begin by taking an inventory of your current workforce to see what capabilities you have and where. Then, determine which initiatives you have coming up and what skills they require.

Compare the skills you have with what you'll need. That's your skills gap, and now you can figure out whether you'll need to hire for it or train for it.

This is how you can anticipate what your organization will need and move accordingly. You won't have to rush to hire because you'll already know what's coming.

Internal mobility

External recruitment gets all the attention, but your best candidates may already be on your payroll. Investing in internal mobility reduces your time-to-fill rate and protects institutional knowledge by upskilling your employees.

With targeted upskilling, employees grow into the roles your company will need down the line. Workforce planning already shows you which skills you need most.

Now, you have to create the pathway for your employees to get there. You can offer in-house training, mentorship programs, workshops, or stretch assignments.

Whatever you choose, make sure the opportunities are visible and accessible. If you take a look at my recommendations, you'll notice they encourage you to look inward.

I've experienced competitive job markets and talent shortages a few times, and the lesson is that it's vital to know what your company has in its wheelhouse. You must know what your company offers and show candidates what it's like working there.

That's how you genuinely attract and retain employees, and build a lasting workforce.
 
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AI Monthly: How AI is challenging authenticity in recruitment


Traditionally, job applications involved substantial preparation. Candidates often spend several days conducting in‑depth research on the company, refining their résumés, and crafting cover letters. The prevailing belief was that a well-written cover letter could set candidates apart by demonstrating rigorous research of the company and portraying an authentic profile.

Today, generative... artificial intelligence models (Gen AI) can generate a perfectly targeted cover letter at the click of a button - if you prompt it well. Failing to do so, however, may lead to inaccuracies or made-up statements that could diminish chances of getting hired. While this significantly reduces preparation time, it raises a bigger question: How will recruiters be able to see the authentic self behind the application if everyone uses the same tools?

According to the 2025 Market Trend Report by Career Group Companies, a leading US recruiting firm, about two-thirds of job candidates in the US say they use AI when applying for jobs. This includes not only résumé and cover letter writing, but also interview practice, career guidance, and perfecting their headshots.

AI-driven tools combined with standardised application processes have compressed hours of preparation into mere seconds, enabling candidates to apply at scale. And recruiters are feeling the strain. Human resources (HR) teams today are handling almost three times more applications than three years ago. Part of the problem stems from AI auto-apply tools that lower the barrier to mass applications. The reason is not such much an increase in the number of job seekers but rather the fact that platforms like LinkedIn, where applications rose 45% year-over-year, facilitate the application process with easy-apply features. This surge in application volumes is forcing talent teams to rethink their workflows to keep pace.
 
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How to Improve English for Job Interviews: Easy Tips to Speak Confidently


Wondering "How to improve English for a Job Interview?" The answer is simple: Speak clearly and stay confident. It lets you create a positive impression. Job interviews are often the final step that determines whether you get the job. Nearly all the interviews are conducted in English, especially in the private sector. This is why improving your English-speaking skills matters the most.

Many of... you know the skills, but struggle with expressing them. To put it simply, you have sufficient knowledge but lack communication skills. You can get better with the right approach and a few small habit changes. To help, we have compiled below the tips and tricks to improve English for job interviews.

How to Improve English for Job Interviews?

Improving English is more than just learning grammar rules. You should speak in a way that clearly presents your ideas. Your speech should be fluent and natural. You must have a confident mindset to handle any questions. Daily practice and smart strategies can help you excel. Learn various ways to improve English for job interviews.

Master Basic Interview Questions

You can start practising with basic interview questions. These are mainly asked to assess your basic communication and background. Common questions are "Tell me about yourself," or "Why should we hire you?" You can prepare short responses for this. Make sure your language is simple. Practice daily to speak without any pauses.

Build Vocabulary

Improving your vocabulary doesn't mean learning complex words. Focus on the job-related terms. If you are a content writer, get familiar with words: Content strategy, SEO, or keywords. Pick a few relevant words every day. Try to integrate them into your daily conversation. This can help you build strong vocabulary skills.

Practice Speaking Daily

Talk to yourself in English every day. Read newspapers loudly or narrate your day. You can also talk to your mentors and classmates. You can even chat with AI tools anytime. Record yourself to check how your speech sounds. This approach can improve your grammar and pronunciation mistakes. The more you talk, the more fluent you become.

Improve Listening Skills

Listening can enhance your communication skills. Watch interviews or podcasts in English. It helps you know how other people answer the interview questions. You observe their tone and sentence formation tricks. This trains your mind to think in English and speak naturally.

Also Check:

How to Improve English for Competitive Exams (SSC, Bank, UPSC)How to Build a Strong English-Speaking Habit in 30 Days

Prioritise Pronunciation

Pronouncing words correctly often creates a positive impression. You can explain your ideas or response slowly. What matters is that your answers should be clearly understood. Do not get nervous or rush through the responses. If you are pronouncing any word wrong, practice it till you get it right.

Practice Mock Interviews

Mock interviews can be a game-changer. Practice with friends or AI tools. You can use a timer to create a real environment. Record your responses and listen actively. It lets you identify all your errors. Work on them and retake mock interviews.

Improving your English for interviews takes time. It requires daily practice and patience. Work on clear speech, expand your vocabulary, and practice mock interviews. Consistent effort is an underrated skill. It can help you speak confidently and enhance your chances of success.
 
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Commentary: Helping vulnerable vets transition to a post-service life


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Military life is a family mission anchored in shared purpose, sacrifice, and service. Every deployment, relocation, and empty chair at the dinner table reflects not only the service member's duty to the country, but also the family's quiet endurance. Together, they live a calling few outside the military will ever fully understand.

That calling often disappears the moment service ends. Nearly 250,000 service members leave active duty each year. Some walk away with decades behind them; others with only a few stripes. But regardless of rank, many face an identity crisis the moment they take off the uniform for the last time.

Behind every folded uniform lies quiet uncertainty -- and for too many, that uncertainty turns tragic. Veterans are at the most significant risk in the first year after leaving service, when mission, identity, and community disappear overnight.

According to the Department of Veterans Affairs' (VA) most recent report, veterans who separated in 2021 died by suicide at a rate of 46.2 per 100,000 within their first 12 months of separation. Those who separated between 2010 and 2019 experienced first-year suicide rates ranging from 34.8 to 51 per 100,000.

The message is unmistakable: a transition without purpose is not just a vocational challenge -- it's a life-and-death issue.

This is not only the veteran's burden. When a service member loses purpose, the family loses its anchor. Spouses absorb emotional and financial stress; children feel instability. A fractured transition destabilizes the very institution that undergirds military readiness: the family.

The Department of War (DoW) and the VA share responsibility for this runway. DoW owns the final years before separation, and the VA inherits what comes after. Between them sits the Transition Assistance Program (TAP), the military's designated on-ramp to civilian life.

But TAP is not an actual transition program. It is a checklist: PowerPoints, résumé templates, and briefings. In a national survey by the Veterans of Foreign Wars, more than half of veterans said TAP didn't adequately prepare them, describing it as a 'fire-hose of information' delivered with 'no time to absorb or apply it.

TAP prepares veterans for a paycheck, not rediscovering their purpose. It explains benefits, but rarely helps service members answer the fundamental questions every warrior faces at separation: Who am I now? And it leaves families almost entirely outside the process.

The military trains its people for every mission except the last one -- rediscovering who they are when they hang up the uniform once and for all.

It's time for a different approach.

Some programs already provide a path that works. At Texas A&M University, the VET+MAP program helps service members -- and their families -- rediscover their purpose, mindset, and identity before separation. It treats purpose as the center of transition, not an afterthought. It asks the questions résumé workshops cannot answer: Who am I? Why am I here? What am I called to build next?

Joint Special Operations Command (JSOC) applies similar principles, treating transition like any other mission. Each departing operator receives mentors, purpose-driven planning, and a trusted network. The result is not just employment -- it's direction and renewed purpose.

Together, these programs offer a clear roadmap for the DoW to strengthen transition outcomes by integrating the purpose-based lessons pioneered at Texas A&M and JSOC into a formal pilot program.

A three- to five-year pilot could be launched across select installations and include four essential components:

1. Early purpose-based preparation (12-18 months before separation)

Not résumé writing -- identity rediscovery, mentorship, mindset development, and community building. What gifts, talents, and passions remained dormant throughout the military journey?

2. Family integration

Transition is a household event, and TAP's current structure fails to recognize that reality.

3. Measurable outcomes

TAP has never measured what actually works. A partner such as Texas A&M or Syracuse University's Institute for Veterans and Military Families (IVMF) could evaluate:

-- Post-service employment and education

-- Mental-health and suicide-risk indicators

-- Family stability at one, three, and five years after separation

4. Leader accountability

The DoW does not evaluate leaders on how well their people transition, leaving a critical part of readiness unmeasured. The DoW could change that by adding transition-readiness metrics to unit and leader evaluations, tying accountability to how well service members -- and their families -- are prepared to succeed after service.

Such a pilot would give the DoW the evidence needed to redesign transition for the modern era. It would also acknowledge a truth that military families have learned for generations: purpose gives direction, and a unified family provides a catalyst to success. When either breaks down, the nation pays the price. When both are supported, the country gains leaders grounded in resilience, discipline, and service.

Transition is not workforce development. It is identity development, and identity begins at home. Readiness does not end when a service member leaves the formation; it continues in the strength of the family that runs -- rather than limps -- into the next chapter.

If we get this right, we can finally begin turning the tide on veteran suicide. Purpose, identity, and belonging are not soft concepts -- they are protective factors. When service members leave the force with a renewed sense of mission and families equipped to run with them into civilian life, the risks of despair decline dramatically.

The next mission begins before service members hang up the uniform for the last time. We can either leave them to rediscover their purpose on their own, or we can build a transition system worthy of their service -- and the families who stood by them through it all.

America's strength has never rested solely in its weapons, but in the men and women in uniform, and the families behind them, who know their calling does not end when their service does.

____

Chris Wingate is the Government Relations Director at The Heritage Foundation and a former Senate staffer for Senators Ted Cruz (R-TX) and Joni Ernst (R-IA). He is a retired Army Lieutenant Colonel and Aeromedical Evacuation Officer.
 
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Notes on sending thank-you notes


Send a smartly written note. It's an effective way to extend the conversation and reinforce your message that you're the right person for the job.

I realize that the concept of mailing a handwritten thank-you note after a job interview sounds really old-fashioned.

But I still believe that sending such notes - even to an avatar - conveys more than mere courtesy. It's an effective way to extend... the conversation and reinforce your message that you're the right person for the job.

Not long ago, I thought that sending an emailed thank-you note wasn't good enough.

But lately I've changed my mind because so much has changed, especially for high tech companies that don't acknowledge that handwriting even exists anymore. Heck, most elementary schools don't even teach cursive.

Now I recommend taking a two-step approach: First, send an emailed thank-you note to courteously acknowledge having the interview, closely followed by a handwritten note -- because I'll always believe in the emotional value of handwritten notes.

If you have lousy handwriting, go slow, because a note that's illegible is worse than not sending a note at all. After all, if the recipient can't read what you've written, what's the point?

Remember that an employer will also regard your note as an example of your work. You send me a sloppy note, I'll assume you'd be a sloppy employee.

Be brief. It's a note, not a treatise.

Be specific. Refer to actual elements of a conversation or meeting. Let the recipient know you weren't just listening but that you were also thinking.

Do send thank-you notes to everyone you interviewed with, not just HR.

The fact that several people were either on a panel or met with you privately during the day means they'll likely have input on the decision to hire you or someone else.

If you were interviewed by a robot, surely at least one human who oversees hiring exists in the company. Get a name and send him/her/it a written thank-you note.

You might be the only candidate who takes that extra step.

Too frequently, I get meaningless notes like this:

"Dear Mr. Blair, Thank you so much for the excellent seminar today. I liked your ideas. Thank you again, XXX."

That says nothing except that the sender attended a seminar. I don't know what seminar he's talking about, let alone his notion of "great ideas."

He could hardly be less memorable - except that he said "thank you" twice. Once is enough.

I usually don't remember applicants who don't send thank-you notes, but I'll likely remember those that do, and maybe favorably.

Some examples of actual thank-you notes I've received:

GOOD:

Dear Phil, Thank you for providing great insider tips, suggestions and enthusiasm at the recent Job Search/Skill-Building seminar. You inspired me. Your idea about putting keywords on resumes was particularly enlightening. I appreciate the renewed spirit you bring to all of us "Career Managers" as we search for our next opportunity.

Dear Phil, I wanted to take this moment to express my appreciation for your time and advice last week. It was very good and I have taken it much to heart. I am sure it will help me moving forward.

Love, _____

The merit and demerits of the notes above should be pretty obvious.

In the "good" note, the writer gets straight to the point, specifically mentions an event and something she learned and refers to a key philosophy: We must all proactively manage our careers. I know she paid attention and valued my time.

The "bad" note barely qualifies as a note. The language is too casual, too vague (no reference to when the actual meeting occurred), and insultingly bland.

This person would have been better off not sending a note. Saying something is "interesting" is another way of saying you don't have much to say.

Finally, the "awful" note is too wishy-washy. But where it truly bombs is in the closing. A professional thank-you note is no place for love.

Be careful with your words. Make sure they say what you mean and that you mean what you say.

Thank you for writing.
 
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  • This is a very beautiful suggestion. I have never thought of this before. Thank you, I honestly do appreciate this beautiful tip.

AI Is Transforming Job Search in 2025: What Candidates and Employers Need to Know


The way people search for jobs -- and the way companies attract talent -- is undergoing the biggest transformation since job boards first appeared online. In 2025, Artificial Intelligence has become the silent engine behind most recruitment processes, influencing everything from how job offers are created and discovered to how candidates are evaluated and matched.

But this shift is not just about... automation. It's about a new philosophy of hiring where accuracy, transparency, and global accessibility matter more than ever. Traditional job postings, outdated listings, ghost jobs, and the endless "apply and pray" cycle are being replaced by intelligent platforms, AI crawlers, and skills-based matching.

Here is what every candidate, recruiter, and HR leader needs to understand -- and how next-gen platforms like CrawlJobs, which indexes verified offers directly from employer websites in 21 languages, are redefining the job-search experience.

AI used to be a buzzword in HR, but by 2025 it has become the backbone of talent acquisition. Companies increasingly rely on AI tools to:

For job seekers, this means your first screening is almost always done by an AI system, not a human. Résumés must be structured clearly, use relevant terminology, and demonstrate measurable achievements to be understood correctly by these automated systems.

At the same time, candidates benefit from AI through smarter job discovery tools that filter out spam, duplicates, expired roles, and misleading postings -- one of the biggest frustrations of modern job seekers.

One of the biggest challenges in recruitment today is visibility. Many employers post roles only on their career site or Applicant Tracking System (ATS), expecting candidates to find them. But research shows that:

This creates a massive disconnect: companies struggle to fill roles, while candidates feel there are no good opportunities available.

AI-driven indexing attempts to solve this by discovering offers directly from employer websites, ensuring listings are real, current, and verified.

This is where platforms like CrawlJobs introduce a breakthrough: the system automatically crawls employer career pages in 21 languages, classifies the listings using AI, removes duplicates, and displays only active, trustworthy opportunities.

For global companies, this means increased visibility across markets. For candidates, it means seeing real jobs, not ghost listings.

The traditional model of job boards relied on employers manually submitting job listings. This created three major problems: outdated listings, a high volume of irrelevant or low-quality offers, and limited global reach.

The new generation of AI-powered job platforms works differently:

This means candidates spend less time sorting through irrelevant postings and more time engaging with high-quality opportunities aligned with their skills.

CrawlJobs is one example of such a platform. Instead of waiting for companies to submit offers manually, it collects and updates listings automatically, making it one of the first globally scaled AI job crawlers.

Companies are moving away from rigid requirements such as specific degrees, years of experience, or narrow job titles. AI systems allow recruiters to evaluate candidates based on skills, competencies, and potential.

This trend benefits:

AI-powered matching systems analyze wording, achievements, and capability patterns instead of relying solely on keywords. Candidates who present clear evidence of skills -- projects, measurable results, or portfolios -- gain a competitive advantage.

This is why job seekers must learn to prepare application materials not only for humans but also for AI-driven screening engines.

The labor market is more global than ever. Remote work, cross-border hiring, and distributed teams have become the norm rather than the exception.

Yet, most job boards are still limited to 1-3 languages, making them inaccessible to millions of candidates.

Platforms like CrawlJobs break this barrier by:

This multilingual approach reflects the future of work: talent has no borders, so job discovery shouldn't either.

The real impact of AI is not the elimination of HR roles, but the elimination of inefficiencies: outdated job listings, manual posting, bias-heavy initial screening, low-quality hiring funnels, and poor candidate experience.

Job seekers benefit from clarity and accuracy. Employers benefit from reach and efficiency. The hiring ecosystem moves closer to a fair, skills-driven, globally accessible market.

Platforms like CrawlJobs.com illustrate this new era: verified job offers, global access, multilingual support, and AI-powered indexing that keeps the job market honest, current, and open for everyone.

The future of job search is not just digital -- it's intelligent.
 
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Mastering Core Competencies for the AI Era: Unlocking New Opportunities Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway Joins Industry Partners, Principals and Students to Share Observations & Insights


HONG KONG, Dec. 11, 2025 /PRNewswire/ -- Facing the increasingly apparent impact of Artificial Intelligence (AI) on education, productivity and workplace skill requirements, how should students respond to this new opportunity to lead the way in this new era of AI? Led by Hong Kong Baptist University and funded by The Hong Kong Jockey Club Charities Trust, the Jockey Club Multiple Pathways... Initiative - CLAP-TECH Pathway (CLAP-TECH) joins hands with various secondary schools, industry partners, and students and graduates to share observations and insights from the education sector, business community, and young generation on the future opportunities in the age of AI.

Mr. Andrew Ho, Director of Jockey Club Multiple Pathways Initiative - CLAP-TECH Centre

"CLAP-TECH is committed to helping students develop self-directed learning abilities and both soft and hard skills by aligning their strengths and interests with practical experience. Through a tripartite collaboration among secondary schools, industry partners, and Hong Kong Baptist University, the programme enables them to explore diverse pathways.

In today's fast-advancing technological landscape, students can use tools such as AI to efficiently understand knowledge, quickly integrate and refine ideas, and transform abstract concepts into tangible outcomes. However, conquering technology alone is not enough to meet future and workplace challenges. CLAP-TECH provides students with hands-on experience and nurtures essential soft skills, such as analytical thinking, critical thinking, and creativity, through learning and various out-of-classroom activities. This empowers them to harness technology effectively, adapt to the future workplace, and be well-prepared for career development and the challenges of an evolving society."

Mr. Kelvin Shiu, Deputy General Manager, Digital Media, HK & TW, Adobe, CLAP-TECH Industry Partner

"Adobe is at the forefront of creative technology innovation. With the popularisation of AI, we are fundamentally reshaping the creative workflow.

Today, AI has significantly lowered the technical barrier to creation, making us realise that mere execution is no longer the core competency. What truly sets people apart is an excellent ability to conceptualise, including insight, creativity, and the ability to create unique visual experiences -- this is the key to success.

Therefore, when facing the future, the next generation of creative talent in Hong Kong must not only master AI tools but also focus on cultivating a series of critically important soft skills. This includes deep insight, critical thinking, identifying market pain points, and the ability to communicate and collaborate effectively in a creative manner. The value of future talent lies in their ability to dance with technology, propose novel concepts, and build memorable experiences."

Ms. Mimi Poon, General Manager, IBM Hong Kong, CLAP-TECH Industry Partner

"In the age of AI, the skills gap is a difficult challenge across all industries, requiring cooperation from all sectors of society.

For instance, IBM SkillsBuild is a free digital learning platform offering over a thousand online courses, including AI, for adults, high-school students, university students, and teachers to explore new technologies, cultivate essential future-proof skills, and earn digital certificates. IBM encourages students to engage with AI at an early stage, proactively utilise these complementary resources for self-study, explore their interests, and acquire the skills needed for the future job market.

We anticipate that alongside learning fundamental AI technical knowledge, students will also be proided with opportunities, such as internships and overseas exchange programmes, to hone crucial soft skills and enhance competencies such as, critical thinking, highly effective communication and collaboration, and the ability to solve complex problems. We hope students will not only use innovative technologies but also make ethical judgements and navigate social complexities, collectively driving society in the right direction."

Ms. Fung Shun-ning, Brenda, Principal of Buddhist Sum Heung Lam Memorial College

"As AI technologies evolve rapidly, tools can become obsolete in a short space of time. Simply mastering how to use a particular tool is therefore insufficient.

To address this challenge, we adopt a "co-creation and collaborative learning" teaching approach, focusing on guiding students to grasp the underlying thought framework for AI applications. We teach them how to ask precise questions, verify AI-generated answers, and utilise AI to solve real-world problems and create value. Once students have mastered this logical mindset, they can apply their skills flexibly to any new technology.

At the same time, maintaining a lifelong learning attitude is fundamental to professional development. Only by cultivating the habit of continuous learning can students navigate this rapidly changing era with confidence and resilience."

Mr. William Wong, Principal of Man Kwan Pak Kau College

"Amidst the accelerating development of AI technology, our school views AI as a crucial engine for advancing creative education. We actively introduce innovative equipment and curricula, encouraging students to proactively utilise AI for learning and creation, embracing the infinite possibilities this advanced tool brings.

However, the core of education in the AI era is absolutely not merely the simple application of tools, but the holistic enhancement of student qualities. Facing the situation where AI-generated information sometimes is unreliable, we place greater emphasis on cultivating students' information discernment and critical thinking skills, guiding them to practice the academic attitude of multi-source verification. This is because true learning is never just unidirectional reception, it is gradually formed through prudent exploration and the construction of perspectives. And the cultivation of this ability will also make students more competitive in society."

Mr. Wong Kin-Ho, Principal of The Yuen Yuen Institute MFBM Nei Ming Chan Lui Chung Tak Memorial College

"Undoubtedly, the most important issue in society today is the rapid development of AI, which is reshaping the skill requirements for talent across various industries. We are actively guiding students to effectively employ this new technology and keep pace with the new trends in teaching and learning.

We are actively integrating project-based learning and application challenges into our curriculum, guiding students to learn how to use AI as a tool to solve real-life problems or transform imaginative ideas into practical outcomes. This extensive hands-on operation not only enables students to master the application of technology but, more crucially, allows them to personally experience the potential and limitations of AI, thereby stimulating their strong interest in the technology field. Most importantly, through these processes of practical application and creation, students can accurately examine and discover their technical potential, logical thinking abilities, and personal aspirations, preparing them to make careful and personal plans for their future education and careers in this era of change."

Clinton Chan, Graduate of CLAP-TECH, currently a fourth-year undergraduate student pursuing a Bachelor's degree in Information Management

"Looking back at my childhood, I taught myself programming and electronics using online resources. This spirit of proactive learning and exploration has been invaluable, both during my CLAP-TECH studies and later at university. For me, being able to use AI for self-directed learning not only allows me to quickly explore various new knowledge areas but also enables me to rapidly find solutions when encountering problems, thereby improving efficiency and depth of understanding. With the assistance of AI, I can integrate information and even perform preliminary data analysis; this kind of practical experience is especially valuable while I am still in the learning stage.

Although AI has transformed the way we learn, we still need analytical skills to evaluate the accuracy of information and make effective use of relevant data. Only by using AI smartly can we truly enhance our learning outcomes. I believe that in the future workplace, we will apply AI flexibly to solve problems and improve decision-making efficiency. Learning how to prompt AI will greatly strengthen my competitiveness and open up more opportunities for professional growth."

Sam Lau, Graduate of CLAP-TECH, currently a start-up entrepreneur running an AI-related start-up

"AI is transforming learning and careers, bringing unprecedented opportunities for the new generation of talent. For me, ever since my first computer class in primary school, I have been deeply attracted by the logic and creativity of programming. During my time studying CLAP-TECH in secondary school, I progressively cultivated my problem-solving and self-directed learning abilities through self-learning programming. This not only improved my technical proficiency but also strengthened my autonomous exploration and innovative thinking. These experiences have made me more effective during my internships and entrepreneurial endeavours.

I believe that mastering AI technology is not just about acquiring a single skill; it simultaneously cultivates systematic thinking and the ability to innovatively solve problems. This helps us to understand complex issues faster, respond flexibly to challenges, and realise true value in the future workplace and innovation sector."

Horis Ma, Student in the Higher Diploma in Art Tech Design Programme under the Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway

"Studying the CLAP-TECH Art Tech Design programme gave me the opportunity to integrate creativity with technology and explore various possibilities for cross-disciplinary design. In the course, I learned to use AI and various design tools, which not only enhanced my technical abilities but also cultivated my skills in self-directed learning and problem-solving.

During last year's drone bootcamp, through hands-on experience, we gained a deeper understanding of the current market demand for emerging technologies. This experience taught me that even after leaving school and entering the workforce, I would need to maintain curiosity and continuous self-learning to remain competitive in this rapidly changing technological era, especially the AI generation. This kind of experience has not only broadened my horizons, industry knowledge, and skills but has also strengthened my confidence in facing future career challenges."

Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway

Launched in 2020 and funded by The Hong Kong Jockey Club Charities Trust, Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway (CLAP-TECH) is Hong Kong's first through-train Vocational and Professional Education and Training (VPET) pathway in mainstream senior secondary and post-secondary education. CLAP-TECH is a tripartite partnership among Hong Kong Baptist University, industry partners, and secondary schools. It currently consists of two Applied Learning Courses (i.e. Tech Basics and Multimedia Storytelling) and Higher Diplomas in Data Science and Art Tech Design. The programme equips students with technical and soft skills for the future workforce by incorporating career and life development into the curriculum. Since its establishment, over 40 industry partners have been involved in the programme, guiding and inspiring over 1,400 students from 90 secondary schools, with over 4,300 instances of programme participation. For more details, please visit: https://www.claptech.hk/en/

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SOURCE Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway (CLAP-TECH)
 
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The worst interview question (and how top developers answer it)


You know the right answer to: "Why should we hire you?"

"You shouldn't."

At least not yet.

Most software engineers treat this question like they're begging for scraps.

They reply with BS about "passion for the company mission" or "excited about the tech stack."

We both know that's not true.

Here's what I realized after landing offers I didn't even want:

An interview is a two-way sales... process.

You're not there to convince them you're worthy. You're there to see if they're worthy of your time.

Especially if the company asking this is one you just heard about because of a job listing.

Think about it: it's like Xiaomi asking "why should we sell you this phone?"

Weird, right?

Why This Question Is Outdated

Remember that "sell me this pen" question?

Nobody uses it anymore because good recruiters know they're just getting a surface-level performance. Not real insight.

"Why should we hire you?" is the same thing.

It's outdated. It's performative. And it forces you into a position of begging instead of evaluating.

Same with job interviews

They need a developer who can solve their problems.

You need a company that pays well, gives you room to grow, doesn't micromanage, and respects work-life balance.

But here's where most developers get it wrong.

The Real Problem

Most devs are too afraid to be honest about this. So they play the game and pretend to care about company values they don't actually care about.

They spend hours crafting the "perfect" answer. Researching the company. Memorizing their mission statement. Pretending they've always dreamed of working there.

That's not preparation. That's procrastination disguised as interview prep.

My answer to that question?

"I haven't made up my mind yet. You invited me to this call, so I'm here to see if this is a good fit for both of us."

I'd rather be real than try to be nice and soft.

What Actually Happened

I was recording interviews for my Dev Mastery students. Just capturing the process to show them how it works.

Applied to a Node.js senior role. Not because I wanted it. Just to record it.

Round 1: HR screening. Basic. Passed.

Round 2: Live coding. Data structures and algorithms. Passed.

Round 3: Project discussion. Architecture. System design. Scaling decisions. Live coding for 40 minutes. Passed.

Round 4: Final round with engineering manager and HR. Passed.

I wasn't trying to impress anyone. I was just there to answer questions correctly so students could learn from it.

No stress. No performance anxiety. No fake passion.

And I got another six-figure offer, which I don't even need.

Why This Works

When you know your worth, and you're not afraid to walk away from bad fits, everything changes.

You're not nervous about system design questions because you've designed systems before.

You're not worried about "why should we hire you" because you're also evaluating them.

You're not stressed about cultural fit because you know what kind of culture you actually want.

Companies can smell desperation. They can also smell confidence.

The Shift That Changes Everything

Setting boundaries in interviews is like setting boundaries in relationships.

If you accept anything, you'll end up somewhere you hate. Underpaid. Overworked. Disrespected.

Most developers I meet are slow decision makers. They're stuck in analysis paralysis.

"Should I leave this job where I'm working with legacy code?"

"Should I finally learn system design?"

"Should I start applying to senior roles?"

How long does it take you to answer these questions? A week? A month? Are you still "thinking about it" right now?

You already know the answer. You're just afraid to make the decision.

Here's What Changes

When you start rejecting the wrong opportunities, the right ones find you faster.

When you make decisions 10 times faster than everyone around you, you live more in one year than slow thinkers live in 10 years.

You don't need to pretend you've dreamed about their company since childhood.

You don't need to craft the perfect answer to "why should we hire you."

You just need to show up knowing exactly what you're worth and what you're looking for.

The Real Difference

This is the difference between developers who panic in interviews and engineers who pass them without trying.

When you reach a certain skill level, interviews stop being stressful. They become easy.

There's no black box they can introduce where you're thinking "wait, what are you talking about?"

You're not there to convince them. You're there to evaluate if this is worth your time.

That shift changes everything.

I landed that offer while barely trying. Not because I'm special. Because I showed up with real skills and zero desperation.

And once you have that, interviews become a formality. Not a test.

Want to see how this plays out in real interviews?

I recorded every stage of the process. How I answered their questions. How I evaluated them. The exact framework I use.

How I passed without preparing. Without stressing. Without pretending to care about things I don't care about 👇
 
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Mastering Core Competencies for the AI Era: Unlocking New Opportunities Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway Joins Industry Partners, Principals and Students to Share Observations & Insights | Taiwan News | Dec. 11, 2025 10:0


HONG KONG, Dec. 11, 2025 /PRNewswire/ -- Facing the increasingly apparent impact of Artificial Intelligence (AI) on education, productivity and workplace skill requirements, how should students respond to this new opportunity to lead the way in this new era of AI? Led by Hong Kong Baptist University and funded by The Hong Kong Jockey Club Charities Trust, the Jockey Club Multiple Pathways... Initiative - CLAP-TECH Pathway (CLAP-TECH) joins hands with various secondary schools, industry partners, and students and graduates to share observations and insights from the education sector, business community, and young generation on the future opportunities in the age of AI.

Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway joins industry partners, principals, and students to share observations and insights on how students can equip themselves to navigate the AI era.

Mr. Andrew Ho, Director of Jockey Club Multiple Pathways Initiative - CLAP-TECH Centre

Mr. Andrew Ho, Director of Jockey Club Multiple Pathways Initiative - CLAP-TECH Centre

"CLAP-TECH is committed to helping students develop self-directed learning abilities and both soft and hard skills by aligning their strengths and interests with practical experience. Through a tripartite collaboration among secondary schools, industry partners, and Hong Kong Baptist University, the programme enables them to explore diverse pathways.

In today's fast-advancing technological landscape, students can use tools such as AI to efficiently understand knowledge, quickly integrate and refine ideas, and transform abstract concepts into tangible outcomes. However, conquering technology alone is not enough to meet future and workplace challenges. CLAP-TECH provides students with hands-on experience and nurtures essential soft skills, such as analytical thinking, critical thinking, and creativity, through learning and various out-of-classroom activities. This empowers them to harness technology effectively, adapt to the future workplace, and be well-prepared for career development and the challenges of an evolving society."

Mr. Kelvin Shiu, Deputy General Manager, Digital Media, HK & TW, Adobe, CLAP-TECH Industry Partner

"Adobe is at the forefront of creative technology innovation. With the popularisation of AI, we are fundamentally reshaping the creative workflow.

Today, AI has significantly lowered the technical barrier to creation, making us realise that mere execution is no longer the core competency. What truly sets people apart is an excellent ability to conceptualise, including insight, creativity, and the ability to create unique visual experiences -- this is the key to success.

Therefore, when facing the future, the next generation of creative talent in Hong Kong must not only master AI tools but also focus on cultivating a series of critically important soft skills. This includes deep insight, critical thinking, identifying market pain points, and the ability to communicate and collaborate effectively in a creative manner. The value of future talent lies in their ability to dance with technology, propose novel concepts, and build memorable experiences."

Ms. Mimi Poon, General Manager, IBM Hong Kong, CLAP-TECH Industry Partner

"In the age of AI, the skills gap is a difficult challenge across all industries, requiring cooperation from all sectors of society.

For instance, IBM SkillsBuild is a free digital learning platform offering over a thousand online courses, including AI, for adults, high-school students, university students, and teachers to explore new technologies, cultivate essential future-proof skills, and earn digital certificates. IBM encourages students to engage with AI at an early stage, proactively utilise these complementary resources for self-study, explore their interests, and acquire the skills needed for the future job market.

We anticipate that alongside learning fundamental AI technical knowledge, students will also be provided with opportunities, such as internships and overseas exchange programmes, to hone crucial soft skills and enhance competencies such as, critical thinking, highly effective communication and collaboration, and the ability to solve complex problems. We hope students will not only use innovative technologies but also make ethical judgements and navigate social complexities, collectively driving society in the right direction."

Ms. Fung Shun-ning, Brenda, Principal of Buddhist Sum Heung Lam Memorial College

"As AI technologies evolve rapidly, tools can become obsolete in a short space of time. Simply mastering how to use a particular tool is therefore insufficient.

To address this challenge, we adopt a "co-creation and collaborative learning" teaching approach, focusing on guiding students to grasp the underlying thought framework for AI applications. We teach them how to ask precise questions, verify AI-generated answers, and utilise AI to solve real-world problems and create value. Once students have mastered this logical mindset, they can apply their skills flexibly to any new technology.

At the same time, maintaining a lifelong learning attitude is fundamental to professional development. Only by cultivating the habit of continuous learning can students navigate this rapidly changing era with confidence and resilience."

Mr. William Wong, Principal of Man Kwan Pak Kau College

"Amidst the accelerating development of AI technology, our school views AI as a crucial engine for advancing creative education. We actively introduce innovative equipment and curricula, encouraging students to proactively utilise AI for learning and creation, embracing the infinite possibilities this advanced tool brings.

However, the core of education in the AI era is absolutely not merely the simple application of tools, but the holistic enhancement of student qualities. Facing the situation where AI-generated information sometimes is unreliable, we place greater emphasis on cultivating students' information discernment and critical thinking skills, guiding them to practice the academic attitude of multi-source verification. This is because true learning is never just unidirectional reception, it is gradually formed through prudent exploration and the construction of perspectives. And the cultivation of this ability will also make students more competitive in society."

Mr. Wong Kin-Ho, Principal of The Yuen Yuen Institute MFBM Nei Ming Chan Lui Chung Tak Memorial College

"Undoubtedly, the most important issue in society today is the rapid development of AI, which is reshaping the skill requirements for talent across various industries. We are actively guiding students to effectively employ this new technology and keep pace with the new trends in teaching and learning.

We are actively integrating project-based learning and application challenges into our curriculum, guiding students to learn how to use AI as a tool to solve real-life problems or transform imaginative ideas into practical outcomes. This extensive hands-on operation not only enables students to master the application of technology but, more crucially, allows them to personally experience the potential and limitations of AI, thereby stimulating their strong interest in the technology field. Most importantly, through these processes of practical application and creation, students can accurately examine and discover their technical potential, logical thinking abilities, and personal aspirations, preparing them to make careful and personal plans for their future education and careers in this era of change."

Clinton Chan, Graduate of CLAP-TECH, currently a fourth-year undergraduate student pursuing a Bachelor's degree in Information Management

"Looking back at my childhood, I taught myself programming and electronics using online resources. This spirit of proactive learning and exploration has been invaluable, both during my CLAP-TECH studies and later at university. For me, being able to use AI for self-directed learning not only allows me to quickly explore various new knowledge areas but also enables me to rapidly find solutions when encountering problems, thereby improving efficiency and depth of understanding. With the assistance of AI, I can integrate information and even perform preliminary data analysis; this kind of practical experience is especially valuable while I am still in the learning stage.

Although AI has transformed the way we learn, we still need analytical skills to evaluate the accuracy of information and make effective use of relevant data. Only by using AI smartly can we truly enhance our learning outcomes. I believe that in the future workplace, we will apply AI flexibly to solve problems and improve decision-making efficiency. Learning how to prompt AI will greatly strengthen my competitiveness and open up more opportunities for professional growth."

Sam Lau, Graduate of CLAP-TECH, currently a start-up entrepreneur running an AI-related start-up

"AI is transforming learning and careers, bringing unprecedented opportunities for the new generation of talent. For me, ever since my first computer class in primary school, I have been deeply attracted by the logic and creativity of programming. During my time studying CLAP-TECH in secondary school, I progressively cultivated my problem-solving and self-directed learning abilities through self-learning programming. This not only improved my technical proficiency but also strengthened my autonomous exploration and innovative thinking. These experiences have made me more effective during my internships and entrepreneurial endeavours.

I believe that mastering AI technology is not just about acquiring a single skill; it simultaneously cultivates systematic thinking and the ability to innovatively solve problems. This helps us to understand complex issues faster, respond flexibly to challenges, and realise true value in the future workplace and innovation sector."

Horis Ma, Student in the Higher Diploma in Art Tech Design Programme under the Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway

"Studying the CLAP-TECH Art Tech Design programme gave me the opportunity to integrate creativity with technology and explore various possibilities for cross-disciplinary design. In the course, I learned to use AI and various design tools, which not only enhanced my technical abilities but also cultivated my skills in self-directed learning and problem-solving.

During last year's drone bootcamp, through hands-on experience, we gained a deeper understanding of the current market demand for emerging technologies. This experience taught me that even after leaving school and entering the workforce, I would need to maintain curiosity and continuous self-learning to remain competitive in this rapidly changing technological era, especially the AI generation. This kind of experience has not only broadened my horizons, industry knowledge, and skills but has also strengthened my confidence in facing future career challenges."

Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway

Launched in 2020 and funded by The Hong Kong Jockey Club Charities Trust, Jockey Club Multiple Pathways Initiative - CLAP-TECH Pathway (CLAP-TECH) is Hong Kong's first through-train Vocational and Professional Education and Training (VPET) pathway in mainstream senior secondary and post-secondary education. CLAP-TECH is a tripartite partnership among Hong Kong Baptist University, industry partners, and secondary schools. It currently consists of two Applied Learning Courses (i.e. Tech Basics and Multimedia Storytelling) and Higher Diplomas in Data Science and Art Tech Design. The programme equips students with technical and soft skills for the future workforce by incorporating career and life development into the curriculum. Since its establishment, over 40 industry partners have been involved in the programme, guiding and inspiring over 1,400 students from 90 secondary schools, with over 4,300 instances of programme participation. For more details, please visit: https://www.claptech.hk/en/
 
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AI Has Broken the Hiring Process


I got into human resources and recruiting because I like people. I like hearing their stories, working with them and talking to them. But increasingly I find myself in conversation with computers.

Since ChatGPT was released in 2022, AI has rapidly permeated every corner of life, and job-hunting is no exception. The appeal is obvious. Crafting the perfect cover letter and resumé are challenging... and universally dreaded tasks. It's been beaten into applicants' heads that they must find ways to stand out. This means writing polished and concise prose, incorporating keywords from job descriptions and tailoring each application to the desired position -- exhausting work that AI pulls off in seconds. Combine that with the human propensity for finding shortcuts, a competitive job market and tough economic conditions, and the temptation is hard to resist.

I first noticed the use of AI in job applications in late 2022, while working as a manager at a Sobeys just south of Barrie, Ontario. We received a flood of applications after the pandemic, but many of them felt off. I kept seeing the same quirks over and over again: heavy use of punctuation not typically used by the general population, like em dashes, semicolons and Oxford commas; full sentences instead of bullet points on resumés; and clinical writing styles. They used recruitment buzzwords like "cross-functional," "alignment" and "collaboration." Around one in 10 applications I received during this time sounded the same. Retail always attracts a wide range of personalities, so the uniformity set off alarm bells.

I was disheartened to see applicants taking the easy way out. Worse, it made me question their abilities. If they were enhancing their words, couldn't they embellish their skills as well? As it turns out, yes, they can.

I went on to work in HR for a distribution company. One time, I was hiring for a machine operator at one of our wholesale facilities. I'd vetted and interviewed an applicant who seemed to know their stuff. On the phone, they hit all the buzzwords and knew all the correct terminology. But when they stepped onto the floor for the skills test, it was obvious they had never laid eyes on the machines they'd need to operate. They confessed to having Googled all the terminology and know-how beforehand, so we sent them home. Because they'd regurgitated phrases directly from the machine-licensing manuals, I suspect they'd used AI.

AI's creep into the recruitment process can result in underqualified hires, which is a resource and time suck. For the machine operator, we had to restart the talent hunt from square one: reposting the position on job boards (including paying to re-promote the posting), re-vetting the applications that were submitted and re-interviewing candidates. Whereas we once could take words and sentiments written in cover letters and resumés at face value, we suddenly had to scrutinize all applicants with the skeptical eyes of detectives. AI allows applicants to oversell themselves. And to me, when an applicant uses AI, they are more likely to have weaker critical thinking skills, a habit of taking shortcuts and an absence of sincerity.

AI continues to pose a major obstacle for recruiters like me. Today, I'm an HR business partner for the Canadian steel company Weldco-Beales Manufacturing, where I'm responsible for talent-hunting. Once, I was conducting a phone interview with an applicant who I suspected was using AI in real time. I would ask a question, then they would repeat my inquiry back to me, word for word. Applicants will sometimes repeat parts of questions to give themselves time to craft their answers, but this individual would then answer almost immediately and with the unmistakable lilt of someone who was reading off a screen. To test my suspicion that they were feeding my queries into AI, I pasted the next interview question into Copilot. To my lukewarm surprise, I watched as the applicant gave a response that was nearly identical to the one being generated on my screen.

Just two weeks ago, I sent out a job posting that included screening questions about the role. The idea was to gauge how an applicant thinks and their level of interest in joining our company, but I was deflated when I saw the responses. Many of the submissions had the same generic writing style I've come to know well, and they were all more or less communicating the same ideas. This sort of thing happens all the time and, at the end of the day, simply renders the whole exercise useless.

In the past, an office clerk or welder could have sent me a resumé and been hired the next day. Now, I take extra measures to ensure we're bringing on driven, qualified talent. The resumé and cover letter screening used to be the most important step. Now, the interview performance and skills testing hold more weight. Instead of one interview, most applicants will undergo three rounds of screening, including multi-panel interviews, and we've made in-person interviews mandatory for all applicants before being hired. Skills testing has also been expanded to all roles, including salespeople, office staff and technicians.

So far, the added checks and balances have been fruitful. The more sophisticated the recruitment processes, the longer those hires have stayed on with us. Plus, I sleep better knowing we've covered all our bases. Still, this robust process adds to my workload, uses more resources and draws out the interview process for all applicants. In a world devoid of AI, I wouldn't have to double as an investigator, and qualified applicants wouldn't have to endure such a demanding application process.

We're also investing heavily in developing our own talent via apprenticeship and mentorship programs, job fairs and networking with high schools and trade schools. The goal is to eliminate the guesswork that AI creates and train future employees ourselves. And now, as hiring managers increasingly lean on referrals and existing networks to avoid AI-generated applications, these programs like ours are more vital than ever in helping young workers get their foot in the door.

I'm no luddite. I understand the appeal of AI. But my fear outweighs my excitement. I worry that we're losing the human element that keeps me coming back to work each day and that is essential to the recruiting process. I also worry that AI is teaching us not to think for ourselves. If an applicant lacks the confidence to pull off a phone interview without the help of AI, how can I know they'll be an engaged, driven and growth-oriented employee?

My advice to those on the job hunt is that using AI does more harm than good for your chances of getting a job and ultimately succeeding in that role. On a grander scale, it's wearing down our ability to trust. When the validity of one video, image or job application is called into question, they all are.
 
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US UK Tax Senior


US/UK Tax Senior

You will be joining a forward-thinking practice that values innovation and strategic thinking, providing a supportive work environment with a focus on mentorship and collaboration. The firm is committed to employee well-being and work-life balance.

Opportunity:

- Exceptional career development opportunities

- Comprehensive training programs

- Full study support for ATT and EA... qualifications

- Exposure to a diverse and high-profile client portfolio

Role Description:

- In-depth involvement in both US and UK tax compliance and advisory work

- Preparation of complex personal tax returns for high-net-worth individuals

- Active engagement in client communications, addressing and resolving enquiries

- Assurance of compliance with all filing deadlines and accuracy of tax records

- Collaboration with other departments to provide integrated tax services

Candidate Profile:

- Minimum of 2-3 years of dedicated experience in US/UK tax practices

- Progression towards ATT/EA qualifications, with a strong commitment to complete

- Demonstrated proficiency with advanced tax software and digital tools

- Excellent interpersonal skills, with the ability to work cohesively within a team environment

- A proactive approach to problem-solving and continuous improvement

Career Advancement:

- Clear pathway to higher roles such as Assistant Manager, based on performance

- Opportunities for professional development through internal and external training sessions

- Access to a global network of tax professionals and industry experts

Interested candidates are invited to submit a detailed CV and cover letter. Applicants should highlight relevant experience and qualifications in relation to US/UK tax.
 
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The Best Ways to Use YouTube for Career Development


In today's fast-paced digital world, YouTube has evolved far beyond entertainment. It has become one of the most powerful platforms for education, professional growth, and career transformation. Whether you're a student, a working professional, or an entrepreneur, YouTube provides a vast library of resources -- from high-quality tutorials and expert interviews to motivational talks and specialized... skill-building content. When used strategically, YouTube can become a personal learning academy, a networking channel, and even a professional showcase.

Below are the most effective ways to leverage YouTube for meaningful career development.

1. Learn Industry-Relevant Skills Through Expert Channels

Thousands of specialized YouTube channels deliver premium content created by industry leaders, trainers, and educators. Whether you want to improve your coding skills, master digital marketing, learn graphic design, or understand financial markets, YouTube has it all.

How this helps:

* Gain foundational and advanced knowledge at no cost.

* Stay updated with latest trends, tools, and technologies.

* Get access to step-by-step tutorials, case studies, and live demonstrations.

Examples of useful categories:

* Technology & coding: freecodecamp, Traversy Media

* Business & entrepreneurship: TED Talks, HubSpot

* Design & creativity: Adobe Creative Cloud, The Futur

* Finance & investing: CNBC Make It, Graham Stephan

2. Build Soft Skills and Personality Development

Soft skills are essential in every profession, and YouTube offers countless resources to help you improve communication, leadership, negotiation, and emotional intelligence.

Benefits include:

* Learning presentation techniques

* Improving public speaking

* Understanding workplace behavior

* Enhancing time management and productivity

Channels focusing on personal development and communication can significantly enhance your professional confidence.

3. Follow Career Coaches and Professional Mentors

Career mentors share insights on job interviews, resume building, corporate culture, remote work opportunities, freelancing, and industry trends.

Why it matters:

Their guidance helps you avoid common mistakes, build a strong professional profile, and prepare for competitive job markets.

Popular content types include:

* Resume improvement tips

* Mock interview sessions

* Career change guidance

* Industry-specific career roadmaps

4. Engage in Live Events, Webinars, and Virtual Workshops

Many experts and companies use YouTube Live to host free webinars, technical workshops, hackathons, and Q&A sessions. These live interactions help you learn directly from professionals and participate in real-time discussions.

Advantages:

* Interact with experts

* Ask questions instantly

* Access recorded sessions anytime

* Network via live chat

5. Build Your Personal Brand by Creating Your Own Channel

Using YouTube as a creator can itself become a powerful career strategy. Sharing your skills, projects, and knowledge can help you build credibility and attract opportunities.

Ways to use YouTube for personal branding:

* Upload tutorials or knowledge videos

* Showcase your portfolio (coding, design, music, photography)

* Share your professional journey or case studies

* Conduct interviews or product reviews

A well-maintained channel can lead to freelance work, job offers, speaking invitations, and collaborations.

6. Study Real-World Case Studies and Business Strategies

Many channels break down real business stories, strategies, marketing campaigns, financial decisions, technological innovations, and startup journeys.

How this helps your career:

* Enhances analytical thinking

* Deepens understanding of industry practices

* Provides practical knowledge often missing in textbooks

These case studies bridge the gap between theory and practice.

7. Stay Updated With Industry News and Trends

YouTube is an excellent place to follow news about technology updates, market trends, new tools, product launches, and industry insights.

Why this is important:

Professionals who remain updated gain a competitive advantage and can make informed decisions about upskilling or career transitions.

8. Build a Professional Network Through YouTube Comments and Communities

Most people overlook the networking potential of YouTube. Many creators actively engage with their audience, answer questions, and form communities.

You can:

* Comment on expert videos

* Join YouTube community discussions

* Connect with like-minded learners

* Participate in creator-led groups, Discords, or workshops

These connections can open doors to mentorship, collaborations, and job opportunities.

9. Use YouTube Playlists as Your Personal Learning Library

You can organize your learning journey by creating playlists for different topics -- coding tutorials, interview preparation, industry analysis, design skills, etc.

Benefits include:

* Structured learning

* Easy access to saved content

* A personalized skill-development roadmap

With consistent effort, you can transform playlists into a long-term study plan.

Conclusion

YouTube has emerged as an incredibly versatile tool for career development. It empowers learners with free knowledge, professional insights, real-world examples, and opportunities to showcase their skills. Whether you are starting your career, aiming for a promotion, or planning a career change, YouTube can help you shape your growth if used with discipline and intention.

By combining curated content, active participation, and even content creation, you can turn YouTube into your own virtual mentor -- guiding you through every phase of your professional journey.
 
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Big Data Reshapes Hiring as Platforms Redefine Labor Signals


The growing use of Big Data in recruitment is reshaping how employers evaluate talent and how workers access job opportunities, according to the International Labour Organization (ILO) and the World Bank. As job platforms accumulate millions of data points from digital activity, they are becoming one of the most relevant sources to understand labor markets, offering real-time information that... traditional systems cannot match.

In the podcast "World of Work Show," ILO and World Bank representatives said online job platforms now operate as proxy indicators for skills demand and workforce trends. The discussion explained that this data, when aggregated, allows for new forms of labor analysis while also raising questions about bias, transparency, and how algorithms influence hiring outcomes.

The rise of platform-driven hiring is emerging in parallel with new challenges created by automation, remote work, and AI-generated applications. Employers report receiving large volumes of nearly identical résumés as generative tools make it possible to create "perfect" documents in seconds. This saturation effect creates decision friction, particularly in early screening stages. Aye Kalenok, Founder and CEO, Kala Talent, describes this as the "commoditization" of candidates. "A resume generated by AI in Argentina looks identical to one generated in China," she writes. When differentiation disappears, she argues, companies risk choosing talent based only on cost, mirroring commodity-market behavior.

Recruitment platforms leverage data to address some of these challenges by verifying work history, automating screening, and matching candidates through behavioral signals instead of résumé formatting. In Mexico, ChambasAI has built an employment verification infrastructure targeting operational roles that often lack formal documentation. Max Werner, Founder and CEO, ChambasAI, says that the model emerged from a simple friction point: employers needed a reliable alternative to CVs, and workers needed an easier way to apply. The company built its system on WhatsApp to ensure accessibility, integrating automated matching, pre-interviews, résumé creation, and scheduling. With over 1.1 million registered users, the platform matches workers based on proximity, experience, and verified data rather than polished application materials.

Werner says behavior, not technology, was the biggest challenge in creating a verified employment database. Candidates needed to perceive clear benefits in sharing their history. By positioning the tool as a mechanism to access better work, ChambasAI encouraged voluntary data submission. The company's data also illustrates structural realities in Mexico's labor market, including high turnover in operational roles, short employment durations, and wage levels that influence retention.

While algorithms contribute efficiency, experts warn that data-driven hiring cannot replace cultural alignment or purpose. Camille Rouxel, Country Manager and Partner, 5 Steps Headhunting, argues that evaluating compatibility beyond technical skills is essential, especially for leadership and collaborative roles. She says teams aligned with organizational values show up to 30% higher productivity, citing Deloitte research. Rouxel highlights that even highly skilled employees may underperform if they do not connect with an organization's mission or if the culture does not allow individual values to be expressed. Conscious hiring, she says, requires questioning how candidates will integrate with existing dynamics and whether the company is prepared to adapt to support purpose-driven talent.

The convergence of these trends -- Big Data analytics, AI-generated applications, and the need for purpose alignment -- is redefining both sides of the labor market. For employers, generic job descriptions and repetitive screening processes risk blending into a market where talent expects clarity and fairness. For candidates, the pressure to stand out in an automated ecosystem is shifting differentiation toward authenticity, networking, and demonstrable impact rather than polished documents. Kalenok argues that in saturated markets, visibility itself becomes a form of differentiation, requiring workers to build connections both online and in person.

The ILO and World Bank say that while Big Data can improve market transparency, it must be used in ways that respect worker rights and ensure fair representation. Because digital platforms generate operational and reputational data simultaneously, the technology carries both economic and social responsibilities. The organizations emphasize the need for transparency in algorithms to prevent systemic bias in long-term hiring.

As digital labor signals accumulate, the landscape points toward a hybrid model: data to understand trends and accelerate matching, paired with human evaluation to ensure purpose, culture, and long-term performance. Experts agree that despite the automation of résumés and job posts, the unique value individuals bring to organizations remains the element no algorithm can replicate.
 
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