• I don’t think it’s a good idea to upgrade to grad studies if you’re still struggling to even get a job with your undergrad qualifications, worse... through a scholarship offer. I would rather you continue looking for a job concurrently with a master’s scholarship then go with what shows up earlier. more

  • Hard to work when you keep tooting

1   
  • Recommended way of answering than from a hiring manager’s perspective is giving one straight figure which doesn’t under cut you or feel over budget... for the recruiter. more

  • I have been in Dubai 7months now with hospitality and sales experience and I'm currently looking for a job. I need someone to assist me get a job as... we are all family here in Gainrep. It's a month now without a job and accommodation. more

11   
  • Sit Down With Dad & Go Over His P&L. The Conversation Of Growth Benefits Using Others Peoples Labor & How It Minimizes Stress On Handling Everything... By Himself. The Worry Obout Competition Is Also Causing HimStress Because Not All Employees Want To Corner The Market With The Skills They Learn On The Job. Most Just Want To Pay Rent & Buy Food. I Was Raised In A Grocery Business & All My Family Did Was Work & Build, But In The End, Competition Came Anyway, breaks Never Appeared At The Front Door. Take Dad on A Weekend Trip. Talk With Him There away From The Business. Best Wishes For Both Of You. more

  • sorry about that situation but please talk to your dad and let him understand how stressful it is and pray about it

1   
  • it could be part of your interview to test your temporament to see your reaction.

  • Sorry, it was harsh the HR could have a little bit empathetic.

    1

HR Career Realignment: Ditch the Logo, Chase the Impact | Robin Schooling


For decades, HR professionals have played an unspoken career game: chase the biggest logo you can land. The assumption baked into this - that working for a massive, household-name enterprise signals intelligence and ambition, while toiling at a mid-market privately-held bank or a 300-employee hospitality group signals something lesser - has shaped career decisions, résumé choices, and professional... identities across the field. Nobody wrote this rule down because nobody had to.

It's OK to acknowledge this weird ego-driven reality, as well as realize that it doesn't just play out on the coasts. Even in middle America, if you're in a city of 70,000, the "prestigious" (and coveted) HR gigs will be those at the regional medical center, community college or lone remaining name-brand manufacturer as opposed to the family-owned home building company.

And we are currently at yet another work and tech inflection point - one that, like early 2020, has the potential to reorder nearly everything we thought we knew about how work functions, and fast. As agentic AI - autonomous systems that can execute complex projects rather than just answer prompts - becomes standard in 2026, I predict that the "prestige" of the enterprise HR role is evaporating.

I believe that in a swiftly coming reversal of all we have previously believed, HR professionals will soon be clamoring to work for Small and Medium Businesses (SMBs) and mid-market organizations and backing away from enterprise giants.

Let me tell you why.

Imagine you're an HR Manager, an HRBP, or an HR Generalist (whatever moniker they've assigned you) working for a large enterprise with 100,000 employees. Using a headcount calculation in a shared services model that also has HR Centers of Excellence, there is roughly one HR staffer for every 300 employees. That puts the total HR population at around 333 people, with perhaps 175 of those being.

In this environment, each of those 175 HR Managers might spend seven hours a week on repetitive administrative tasks -- data entry, routine inquiries, performance review tracking. With the agentic revolution, companies can now deploy AI to take over these tasks, compressing seven hours of work into roughly 20 minutes of oversight. Speakers tend to call this the "strategic dream," but the enterprise reality looks considerably different.

Saving seven hours per week across 175 managers equals 1,225 hours - the equivalent of more than 30 full-time HR positions. Jittery CEOs, eager to reassure boards in an uncertain economy, will use these efficiencies to justify headcount cuts, and the end result is that you either absorb a much larger, more stressful territory with no increase in pay, or you discover you've been replaced by the very software that promised to free you.

Now in an SMB or mid-market firm - think organizations in the range of 100 to 999 employees - the math is entirely different. These organizations often operate with a tighter ratio, perhaps 1:50, meaning a company of 150 people might have a small, dedicated HR team of three or four people. In these environments, AI is deployed to improve the work rather than eliminate the worker, and the reasons why are worth understanding.

When AI saves time on administrative tasks for a three-person HR department, the time recovered simply doesn't reach the threshold of elimination for a full-time position. That said, the time freed up also just doesn't disappear into a spreadsheet, but rather gets redirected into genuinely high-value work: culture building, employee retention, and organizational effectiveness. SMBs will continue to rely more heavily on human judgment to navigate performance issues, mental health conversations, and interpersonal conflict - all those areas where AI still lacks the nuance and empathy that HR work demands.

This realignment isn't just about job security, though. It's also about job fulfillment.

A Mercer survey just two years ago found that nearly half of HR Business Partners felt more like "transaction partners" than strategic advisors - and that was before AI accelerated the commodification of routine HR work. In my estimation, the most exciting roles emerging right now may be in mid-market firms, where HR can finally evolve into something closer to a Human Capital Consultant: someone who uses Generative AI (GAI) to process and interpret talent data, who acts as a genuine strategic partner to senior leadership, and who is adept at translating people data into the business actions that leaders will take.

The concept of antifragility is worth naming here - the need to develop HR professionals who don't just withstand disruption but grow stronger because of it. That's the kind of work that requires a human being who understands an organization's culture, history, and people - not the kind of work that scales nicely into some sort of workflow automation.

To thrive in this realigned market, it's time to recalibrate what career success looks like for HR professionals which includes recognizing the logo on your resume matters considerably less than your digital agility. The good news is that making this shift to AI adaptability isn't as daunting as it sounds.

Prompt engineering, for instance, sounds intimidating until you realize it's essentially learning to give very precise instructions - something HR has been doing for decades (am I right?) just usually with managers instead of machines. Learning to design refined AI instructions for functions like recruitment screening or engagement analysis is a skill that transfers quickly and pays dividends fast. Beyond that, HR can lead the AI transformation by example; practically integrating GAI into everyday workflows and then telling that story to leadership (loud and proud!) and demonstrating, concretely, what the HR function is now capable of.

On the flip side, the ability to use explainable AI to understand things like attrition patterns and adjust the contributing factors for individual employees will become one of the most valuable skills in the profession. In an economy where organizational anxiety runs high and stability is a genuine competitive advantage, understanding staff retention (with precision!), is clearly much more than a soft skill.

The window to adapt, however, is brief, and the HR practitioner who understands what's coming - and can navigate the shift with both strategic clarity and human judgment - will be the most valuable HR pro in the room. And while enterprise organizations are using AI to satisfy shareholders by thinning the herd, SMBs and mid-market firms are where AI is rapidly being used to empower HR to finally do the strategic, human-centric work we've always wanted to do.

It's time to stop chasing the biggest logo and start chasing the biggest impact.
 
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5   
  • You have a new job and a new environment. You just found out that old traditions do not work here. You do not have to go through baking for people... that do not appreciate it. You can still eat your cookies and, if someone joins you, ask them to help themselves. more

  • it's realy bad

The Reference


Some flags never disappear. A Machines with Motives Story.

Marcus had been a project manager for eleven years. Good reviews. A LinkedIn profile with 47 recommendations. A résumé that his former boss, Dana, had called "a masterclass in making yourself look indispensable."

He wasn't worried when Holloway & Briggs downsized in January. Everyone said the market would bounce back by spring.

It was... June when he started to notice something was wrong.

Not wrong like slow. Wrong like targeted.

The first rejection came three days after he applied to Meridian Logistics. He hadn't even had a phone screen. The email was polite, automated, and arrived at 2:17 AM.

Thank you for your interest. After careful review, we have decided to move forward with other candidates whose experience more closely aligns with our current needs.

He didn't think much of it. These things happen.

The second came from Castlebrook Partners. Same language, almost word for word. 2:09 AM.

The third, fourth, and fifth came from companies so different from each other -- a healthcare firm, a logistics startup, a regional bank -- that he couldn't find a pattern. All within two weeks. All before he'd spoken to a single human being.

By rejection number eight, Marcus had started keeping a spreadsheet.

His friend Deja worked in HR at a mid-size manufacturer. He called her on a Tuesday, trying to keep his voice casual.

"Is there something in my background that would show up?" he asked. "Like, something I don't know about?"

"What do you mean?"

"I mean -- I've applied to thirty-two jobs, Deja. Thirty-two. I'm not even getting screened. Something is happening before a human ever sees my résumé."

She was quiet for a moment. "Marcus, a lot of companies use third-party AI screening now. Not just ATS for keywords. I mean full reference and background intelligence platforms. HireSignal, Veridata, TrueThread. They aggregate data before a candidate ever hits the queue."

"Aggregate what data?"

"Everything. Public records. Social media. Court filings, even dismissed ones. News mentions. Reviews you've left. Sometimes -- and I'm not supposed to know this -- they share flags between each other. If one platform marks you as elevated risk, others can pull that signal."

Marcus felt something cold move through him.

"What constitutes a flag?"

"That's the thing," Deja said. "Nobody really knows. The models are proprietary."

He hired a data broker removal service. They sent formal requests to HireSignal, Veridata, and TrueThread on his behalf, invoking every applicable privacy regulation.

HireSignal responded that they did not retain consumer-facing profiles and therefore had no data to produce.

Veridata sent an automated reply directing him to a web portal. The portal required him to upload a government-issued ID, a signed consent form, and a utility bill. He did. The portal returned an error. He tried again. The portal said his request was already being processed and he should expect a response within 90 business days.

TrueThread did not respond.

In July, Marcus found the forum.

It was buried in a subreddit about job searching -- a thread titled Anyone else getting ghosted everywhere at once? Something is wrong. Hundreds of comments. Thousands of upvotes.

People from completely different industries. Different cities. Different backgrounds. All describing the same experience: applying extensively, never getting screened, rejection emails arriving in the middle of the night.

Someone had done the math. The 2 AM timestamp was a tell. Human recruiters don't reject candidates at 2 AM. These decisions weren't being reviewed. They were being rendered.

One commenter -- a former data engineer at a hiring platform -- had written a long, careful post before deleting their account. Someone had screenshotted it and reposted it.

These systems don't just match keywords. They score candidates against a multi-variable risk model. The model was trained on historical hiring data -- which means it learned to replicate whatever patterns existed in who companies previously hired and fired. It also cross-references flagging signals from partner platforms. The problem is the model never forgets and rarely explains. A flag might be a dismissed lawsuit from a decade ago. A Glassdoor review that mentioned your name. A social connection to someone else who was flagged. The system sees correlation and calls it risk. There's no appeals process because there's no one to appeal to. It's not that nobody is home. It's that home no longer exists.

Marcus read it three times.

In August, he found the source.

It took a FOIA request, a consumer attorney, and six weeks. But eventually, a document arrived -- a partial data report from a platform called Arris Talent Intelligence, which had been acquired twice and whose name appeared nowhere in any rejection email he'd ever received.

The report contained a single flag. One line.

Subject associated with workplace dispute, 2019. Elevated liability indicator. Confidence: 87%.

Marcus stared at the screen for a long time.

In 2019, he had been a witness -- not a party, a witness -- in a wrongful termination complaint filed by a colleague. He had told the truth. His colleague had won.

He had never been disciplined. Never named in the suit. Never anything.

But somewhere, an algorithm had found the filing. Cross-referenced his name. Assigned him a score. And shared that score, silently, with every company in its network before he ever typed his name into a single application.

He called the consumer attorney.

"Can we fight it?"

"We can try," she said. "But Arris was acquired. The data is now held by the parent company, which is incorporated in a state with weaker privacy protections. They'll argue the flag is accurate -- there was a dispute, you were associated with it. They'll argue their model is proprietary. They'll argue they're not a consumer reporting agency under the FCRA, so the disclosure rules don't apply."

"And if we sue?"

"We might win, eventually. Two years from now. Maybe three."

Marcus looked at his spreadsheet. Forty-seven rejections. Seven months. The savings account that had looked comfortable in January and now looked like a countdown.

"They shared that flag without telling me," he said. "Every company I applied to -- they were told I was a risk before I sent a single word. They never gave me a chance to explain."

"No," the attorney said. "They didn't."

"Who do I call to explain?"

She didn't answer right away.

"Marcus," she finally said. "That's the thing about these systems. There's no one to call. The decision was made by a model. The model doesn't have a phone number. The model doesn't know your name. The model just has your score."

He still applies, sometimes. The rejections still come at 2 AM.

He's stopped opening them.

Author's Note: The Reference is fiction. The technology is not. AI-powered candidate screening platforms -- including tools that aggregate and share risk scores across employer networks -- are a real and growing part of the hiring ecosystem. In most jurisdictions, the legal protections for job seekers against algorithmic screening are minimal, opaque, and difficult to enforce. If you've ever wondered why a strong application disappeared into silence, the answer may not be human at all.
 
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Unlocking Talent: How AI Legalese Decoder Is Empowering Philadelphia's Small-Business Owners To Navigate The Hiring Landscape - Instantly Interpret Free: Legalese Decoder - AI Lawyer Translate Legal Docs To Plain English


legal-document-to-plain-english-translator/">Try Free Now: Legalese tool without registration

Find a LOCAL lawyer

Introduction

In today's economic climate, despite challenges such as a slowing economy and a softening job market, small-business owners remain vigilant in their quest for talent -- whether on the shop floor or within the office setting. Identifying the next exceptional employee can... be a daunting task. Therefore, various avenues can be explored to find the right candidates. Below, we expand upon several effective channels for recruiting talent and explore how AI legalese decoder can assist in simplifying legal complexities related to hiring.

Online Job Platforms

An Overview

One of the most prevalent avenues for recruiters is online job platforms, such as Indeed, LinkedIn, CareerBuilder, and Monster. These platforms serve diverse industries, including manufacturing, restaurants, retail, and construction.

Features and Costs

Online platforms attract a large pool of candidates and often provide features like searching for both active and passive job seekers, AI-driven screening questions, interview scheduling, and user-friendly dashboards. The cost for utilizing these services varies significantly -- from a few dollars a day to over a thousand dollars monthly -- depending on the services and reach required.

Challenges in Recruitment

While these platforms can perform an initial screening, the responsibility of recruitment rests with the employer. A well-crafted job advertisement may attract numerous candidates; however, this does not guarantee that every applicant is qualified, resulting in considerable time spent on filtering and assessing responses.

Nile Livingston, owner of Creative Repute, a graphic design agency based in Philadelphia, notes that LinkedIn's free posting option offers "wide reach and strong visibility," but it also has its limitations. "The free tier limits the number of applicants, which actually helps us focus and conduct deeper reviews," she explains. However, she observes that many applicants apply indiscriminately, necessitating further scrutiny.

Brian Pansari, owner of La Bon Bake Shoppes in Edison, N.J., agrees, pointing out that while these platforms offer broader reach, they also lead to increased workload. "We unfortunately receive numerous applications that fail to meet the job criteria," he says. "Some job seekers may simply apply to numerous positions to satisfy unemployment quotas."

AI legalese decoder's Role

Here, AI legalese decoder can assist employers in clearly articulating job descriptions, thereby attracting the right talent while minimizing misunderstandings. By simplifying the legal jargon in job postings, employers can ensure that candidates fully grasp the requirements and expectations, which can significantly enhance the quality of applications received.

Colleges and Trade Schools

Partnerships and Benefits

Many small businesses, including Philadelphia-based LevLane Advertising, find promising candidates through internship programs and collaborations with local colleges and universities.

Advantages and Drawbacks

"The primary advantages of this approach include mutual engagement, low-cost commitment for the business, and the chance to evaluate a candidate's fit before making a permanent offer," notes Dan Hall, a senior vice president at LevLane. However, he points out that these channels typically cater to entry-level positions only.

Trade school enrollments have surged since the pandemic and are anticipated to grow by as much as 7% annually through 2030, according to a report from Validated Insights. Local universities like Temple, Drexel, and St. Joseph's partner with platforms like Handshake and Indeed for job boards, providing career placement services for both full-time and internship opportunities.

Companies that succeed with colleges and trade schools often adopt a long-term strategy, nurturing relationships with educational institutions by funding programs, hosting on-site visits, and offering employment opportunities annually to funnel engaged candidates.

Lou Haverty, owner of Tank Retailer in Media, emphasizes the added value of local college collaboration for roles that combine customer service with sales. "Hiring recent graduates tends to yield great candidates who understand the business model and can learn the sales process over time," he states.

AI legalese decoder's Support

When crafting internship agreements or employment contracts with educational institutions, clarity is essential. The AI legalese decoder can help break down complex legal language into simpler terms, ensuring all parties understand their roles and commitments, thus streamlining the onboarding process for interns and new hires.

Word of Mouth

Efficacy of Referrals

Numerous studies continually affirm that the most effective source of job candidates is referrals from current employees. Recommendations from trusted sources often lead to better fits, as these individuals tend to provide a more authentic portrayal of job roles.

Community Engagement

Moreover, leads can also come from religious institutions such as churches, synagogues, and mosques, where community leaders can be valuable sources of recommendations. As Jim Minadeo, CEO of Zero Surge, notes, "Word-of-mouth applicants typically have a clearer understanding of the job, which helps ensure alignment."

However, he warns that if a referred candidate is not hired, it could potentially strain relationships, which is a risk employers should manage carefully.

AI legalese decoder's Involvement

As businesses navigate the complexities of referral-based hiring, the AI legalese decoder can assist in drafting clear, concise referral policies that outline expectations and protections for both employers and employees, thereby fostering a supportive recruiting environment.

Social Media

Leveraging Platforms

Social media platforms have gained traction as effective recruitment tools. For instance, Creative Repute's Livingston has experienced success using Instagram, directing applicants to her company's careers page. She finds the platform also provides insights into a candidate's personality and creative capabilities.

Crafting Job Posts

Crafting engaging job posts is relatively straightforward with modern technology. Platforms like Instagram, TikTok, and Facebook offer various tools to help employers reach targeted demographics defined by age, location, or interests. However, it often requires time and testing to determine which promotional strategies yield the best results.

AI legalese decoder's Utility

Before posting job openings, a thorough review of employment-related legal implications is crucial. AI legalese decoder can help streamline this review process by translating and simplifying any legal disclaimers or terms that need to be included in social media job ads, ensuring compliance while maximizing outreach potential.

Utilizing Recruiters

Advantages of Professional Recruiters

Employing a professional recruiter can offer additional benefits, as they undertake the time-consuming tasks of searching and qualifying candidates. Many recruiters maintain extensive networks, providing trained part-time workers available for immediate needs, with the opportunity to transition into full-time roles if successful.

Cost Considerations

However, this service often comes at a premium, with employment firms typically charging fees ranging from 20% to 40% of a candidate's first-year salary. Brett Naylor, owner of Rittenhouse restaurant Wilder, emphasizes the mutual benefits of successful partnerships with recruiters: "When you find the right firm, you can access great candidates, but it's essential to ensure a good fit to avoid mismatches."

AI legalese decoder's Contribution

Given the complexities of employment agreements and contractual obligations that may arise from hiring through recruiters, AI legalese decoder can simplify these documents, ensuring transparency and understanding of all terms involved. This ultimately aids in building trustworthy relationships between employers and recruiting firms, setting the stage for successful placements.

Conclusion

In summary, navigating the talent acquisition landscape can be challenging, but by exploring various channels and leveraging technologies like the AI legalese decoder, small businesses can enhance their recruiting processes. Through clear communication, effective partnerships, and understanding of legal implications, employers can ensure they attract and retain the best talent in a competitive marketplace.

legal-document-to-plain-english-translator/">Try Free Now: Legalese tool without registration
 
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Where local small-business owners are actually finding talent | Expert Opinion


From online job platforms and social media to recruiters and referrals, small-business owners have a number of ways to find quality talent, Gene Marks writes.

Despite a slowing economy and a softening job market, most small-business owners I know are always looking for talent -- be it on the shop floor or in the office.

Where can a local manager find that next great employee? Here are a few... places to consider.

A popular place to turn to is online job platforms like Indeed, LinkedIn, CareerBuilder, and Monster. Some specific platforms cater to the manufacturing, restaurants, retail, and construction industries.

These platforms tend to attract lots of candidates and include features like searching for both active and passive job seekers, AI-based screening questions, interview scheduling, and dashboards. The cost can range from just a few dollars a day to more than a thousand per month depending on the level of services and reach needed.

These sites perform a screening function, but the job of recruiting is still left up to the employer. A good ad could attract lots of candidates, but not every candidate is qualified or right for the job, so time will be spent sifting through and qualifying responses.

Nile Livingston, who owns Philadelphia graphic design agency Creative Repute, says LinkedIn's free job posting tier offers "wide reach and strong visibility" but has limitations.

"The free tier limits the number of applicants, which actually helps us stay focused and conduct deeper reviews," she said. "However, we still find that some applicants just apply to everything."

Brian Pansari, who owns La Bon Bake Shoppes in Edison, N.J., said he appreciates that these sites have a broader reach, but they can create more work for the company.

"Unfortunately we get a lot of responses that don't meet the requirements," he said. "Sometimes job searchers may just randomly apply for jobs in order to meet a quota for unemployment."

Philadelphia-based LevLane Advertising finds many of its new employees through internship programs and partnerships with local colleges and universities.

"The primary advantages include a mutually beneficial engagement, a low-cost commitment for the business, and the opportunity to assess a candidate's skills, attitude, and overall fit before making a full-time offer," said Dan Hall, a senior vice president at LevLane. "The main drawback is that these channels typically support entry-level hiring only."

Trade school enrollment is up significantly since the pandemic and is expected to increase as much as 7% annually through 2030, according to a Validated Insights report last year.

Many local universities like Temple, Drexel and St. Joseph's partner with platforms like Handshake and Indeed to provide job boards and other career placement services, both for full-time work and for internships and summer employment.

Companies that succeed with colleges and trade schools generally have a longer-term approach and build relationships with those schools. They fund programs, host on-site visits, and offer employment year after year to build a funnel of interested candidates.

"If the role involves customer service plus sales, I like using the local colleges because those roles require learning how the business works and then gradually learning how to sell," said Lou Haverty, owner of Tank Retailer in Media. "Recent college graduates tend to be a good match for these positions."

Numerous studies have found the most popular source of job candidates is referral by existing employees.

Leads can also come from religious institutions such as churches, synagogues, and mosques, where leaders are familiar with their congregations and can be a great source of recommendations.

"Word-of-mouth applicants are usually given a clearer picture of what the job entails, so someone would not refer an applicant if they didn't think they were a good fit," said Jim Minadeo, CEO of New Jersey-manufacturer Zero Surge. "The downside is that if I do not hire the person, it can potentially hurt relationships."

Creative Repute's Livingston has had success with Instagram posts, because they direct applicants directly to the company's careers page and are "highly shareable." She also likes Instagram because it provides insights into a candidate's personality, passions, and identity.

"For example, if someone applies for a graphic design role but shows no portfolio samples, no creative work, and no visual thinking on their profile, that signals a potential misalignment," Livingston said.

Creating a good job post is not difficult with today's technology. Sites like Instagram, TikTok, and Facebook offer a number of tools to help employers affordably promote a post to a specific demographic -- those in a certain age range or living in a specific area, or who have shown an interest in something related to a job. Like anything else, this strategy takes time, testing, and patience to figure out what promotions work best.

A good recruiter will take on the duties of searching and qualifying candidates, which is a huge timesaver. Some come with their own networks of resources and many offer trained, part-time workers to fill in needs with the option of converting to full-time employees. The biggest drawback tends to be cost, with employment firms charging fees averaging 20%-40% of a candidate's first year salary.

"Once you find the right firm you can get great candidates," said Brett Naylor, owner of Rittenhouse restaurant Wilder. "Both you and the recruiter have a mutual incentive in getting the right person. But it can be costly, and if you don't put the effort into getting the right fit of recruiters, you may get some poor matches."
 
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3   
  • The best way would be patience pain but at last pays, quitting wouldn't be the solution, However where you are heading, Things may backfire and you... loose it all.  more

  • I would not threaten to leave. Just put your head down and do the job, while looking for a new position. You usually do not get an automatic raise... (only a cost-of-living-raise), unless you ask, so you should not have second thoughts, there. more

How employers actually evaluate candidates today


For many pro­fes­sion­als across the Caribbean, the hir­ing process can feel con­fus­ing and un­pre­dictable. Can­di­dates up­date their ré­sumés, high­light their ex­pe­ri­ence, and ap­ply for mul­ti­ple op­por­tu­ni­ties, yet many still strug­gle to move for­ward in re­cruit­ment process­es.

Part of the chal­lenge is that the way em­ploy­ers eval­u­ate can­di­dates has changed sig­nif­i­cant­ly... in re­cent years. While many pro­fes­sion­als still ap­proach job ap­pli­ca­tions us­ing tra­di­tion­al meth­ods, hir­ing teams to­day are in­creas­ing­ly look­ing for very dif­fer­ent sig­nals when de­cid­ing who ad­vances in the process.

To bet­ter un­der­stand how or­gan­i­sa­tions ac­tu­al­ly as­sess can­di­dates to­day, I spoke with Khadi­ja Moore, re­gion­al di­rec­tor of hu­man cap­i­tal at the Uni­com­er Group, a multi­na­tion­al re­tail and con­sumer fi­nance com­pa­ny op­er­at­ing across more than 20 coun­tries. Moore is al­so a con­trib­u­tor to the Forbes Busi­ness Coun­cil, where she writes about lead­er­ship, tal­ent strat­e­gy, and the fu­ture of work.

From her per­spec­tive lead­ing tal­ent strat­e­gy across mul­ti­ple mar­kets, Moore out­lined four key prin­ci­ples that in­creas­ing­ly shape how em­ploy­ers eval­u­ate can­di­dates to­day.

Fo­cus on out­comes, not just re­spon­si­bil­i­ties

One of the most com­mon mis­takes job ap­pli­cants make, Moore says, is de­scrib­ing what they were re­spon­si­ble for rather than what they ac­tu­al­ly achieved.

"In to­day's hir­ing en­vi­ron­ment, or­gan­i­sa­tions are look­ing for sig­nals of im­pact and ex­e­cu­tion," she ex­plained. Re­cruiters and hir­ing man­agers want to un­der­stand how a can­di­date's work "moved the nee­dle."

Many ré­sumés still read like job de­scrip­tions. Can­di­dates of­ten list du­ties and re­spon­si­bil­i­ties with­out ex­plain­ing the re­sults those ac­tiv­i­ties pro­duced.

Moore en­cour­ages pro­fes­sion­als to present their ex­pe­ri­ence in terms of mea­sur­able im­pact.

In­stead of writ­ing:

"Re­spon­si­ble for man­ag­ing cus­tomer ser­vice op­er­a­tions."

Can­di­dates should show re­sults, for ex­am­ple:

"Led a cus­tomer ser­vice team that im­proved sat­is­fac­tion scores by 18 per cent and re­duced com­plaint res­o­lu­tion time by 30 per cent."

"Em­ploy­ers in­creas­ing­ly eval­u­ate can­di­dates based on ev­i­dence of per­for­mance, not just tenure or job ti­tles," Moore said. "The most com­pelling can­di­dates show how their work cre­at­ed mea­sur­able val­ue."

She be­lieves pro­fes­sion­als should re­think the pur­pose of a ré­sumé en­tire­ly.

"Your re­sume is nei­ther a bi­og­ra­phy nor a brochure - it is a da­ta set and per­for­mance record."

Write for both hu­mans and tech­nol­o­gy

An­oth­er ma­jor shift in hir­ing is the grow­ing role tech­nol­o­gy plays in screen­ing ap­pli­ca­tions.

Or­gan­i­sa­tions to­day of­ten re­ceive large vol­umes of ap­pli­cants for a sin­gle role, which has led many com­pa­nies to adopt au­to­mat­ed sys­tems to help man­age the process.

"Or­gan­i­sa­tions in the re­gion are in­creas­ing the use of tech­nol­o­gy like Ap­pli­cant Track­ing Sys­tems to process ap­pli­ca­tions be­fore a hu­man ever sees them," Moore said.

Be­cause of this, can­di­dates must en­sure their ap­pli­ca­tions can be in­ter­pret­ed clear­ly by both tech­nol­o­gy and hir­ing man­agers.

Moore rec­om­mends sev­er­al prac­ti­cal strate­gies. These in­clude us­ing clear sec­tion head­ings such as ex­pe­ri­ence, skills and ed­u­ca­tion, avoid­ing com­plex graph­ics or lay­outs that may con­fuse screen­ing sys­tems, and in­clud­ing key­words rel­e­vant to the role such as tools, cer­ti­fi­ca­tions and soft­ware.

How­ev­er, op­ti­mis­ing for tech­nol­o­gy alone is not enough.

"At the same time, the nar­ra­tive still needs to res­onate with the hir­ing man­ag­er," Moore said.

"The goal is a re­sume that pass­es the al­go­rithm and per­suades the hu­man."

For job seek­ers, this means struc­tur­ing their ré­sumé so that their val­ue is im­me­di­ate­ly clear to both au­to­mat­ed sys­tems and the peo­ple mak­ing hir­ing de­ci­sions.

Demon­strate adapt­abil­i­ty and con­tin­u­ous learn­ing

Moore al­so em­pha­sised how rapid­ly evolv­ing in­dus­tries are chang­ing what em­ploy­ers look for in can­di­dates.

"The na­ture of work is evolv­ing quick­ly due to dig­i­tal trans­for­ma­tion and AI adop­tion," she said.

Be­cause of this shift, em­ploy­ers are in­creas­ing­ly eval­u­at­ing can­di­dates not on­ly on their cur­rent knowl­edge but al­so on their abil­i­ty to learn and adapt.

"What em­ploy­ers in­creas­ing­ly look for is not just what some­one knows to­day, but how quick­ly they can learn and adapt," Moore ex­plained.

Strong can­di­dates demon­strate this through tan­gi­ble ev­i­dence of growth. This may in­clude earn­ing cer­ti­fi­ca­tions or mi­cro-cre­den­tials, par­tic­i­pat­ing in cross-func­tion­al projects, adopt­ing new tools or sys­tems, or en­gag­ing in self-di­rect­ed learn­ing.

"In to­day's labour mar­ket, learn­ing agili­ty is be­com­ing one of the most valu­able pro­fes­sion­al as­sets," Moore said.

"Or­gan­i­sa­tions want peo­ple who can grow as the busi­ness evolves."

This shift re­flects broad­er glob­al work­force trends. Ac­cord­ing to the World Eco­nom­ic Fo­rum's Fu­ture of Jobs Re­port, tech­no­log­i­cal change will con­tin­ue re­shap­ing in­dus­tries and job roles over the com­ing decade, re­quir­ing work­ers to con­tin­u­al­ly up­date their skills.

The grow­ing val­ue of con­tin­u­ous learn­ing is al­so re­flect­ed in com­pen­sa­tion trends. Re­search from Cours­era's Glob­al Skills Re­port shows that pro­fes­sion­als who earn mi­cro-cre­den­tials and in­dus­try cer­ti­fi­ca­tions can com­mand salary pre­mi­ums of up to 20 per cent com­pared with peers with­out those cre­den­tials, par­tic­u­lar­ly in tech­nol­o­gy-dri­ven roles.

Shape your ca­reer port­fo­lio and pro­fes­sion­al nar­ra­tive

Fi­nal­ly, Moore em­pha­sised that can­di­dates to­day must think be­yond sim­ply pre­sent­ing a list of pre­vi­ous jobs.

"The strongest can­di­dates don't just present a list of roles - they present a port­fo­lio of con­tri­bu­tions, skills and projects," she said.

One use­ful strat­e­gy is to analyse how sim­i­lar roles are de­scribed at lead­ing or­gan­sa­tions. Plat­forms such as LinkedIn al­low pro­fes­sion­als to study job de­scrip­tions across com­pa­nies and iden­ti­fy the ca­pa­bil­i­ties em­ploy­ers con­sis­tent­ly pri­or­i­tize.

Can­di­dates can then eval­u­ate their own ex­pe­ri­ence against those ex­pec­ta­tions.

"If there are gaps, pur­sue ways to close them," Moore ad­vised.

This might in­volve lead­ing projects or process im­prove­ments with­in one's or­ga­ni­za­tion, de­liv­er­ing pre­sen­ta­tions or thought lead­er­ship with­in a field, earn­ing cer­ti­fi­ca­tions or spe­cialised train­ing, or tak­ing on vol­un­teer lead­er­ship or com­mu­ni­ty ini­tia­tives.

These ex­pe­ri­ences help build a port­fo­lio that demon­strates both ini­tia­tive and ca­pa­bil­i­ty.

"The goal," Moore said, "is to lever­age and shape your ca­reer port­fo­lio in­to a clear pro­fes­sion­al nar­ra­tive - one that clear­ly ar­tic­u­lates the prob­lems you solve, the strengths that de­fine you, and the di­rec­tion your ca­reer is mov­ing."

Keron Rose is a Caribbean dig­i­tal strate­gist and dig­i­tal no­mad based in Thai­land. He helps en­tre­pre­neurs build, mon­e­tise, and scale their dig­i­tal pres­ence while ac­cess­ing glob­al op­por­tu­ni­ties. Vis­it keron­rose.com to learn more about the dig­i­tal world.
 
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  • indeed this is an eye opener, very enriching too. well done Kefon.

  • Very insightful, concise and clear mindful points to consider in this competitive market trends.

Faculty/staff Issue for March 30, 2026


Add to calendar 31-03-2026 16:00:00 31-03-2026 17:30:00 America/New_York Not on My Résumé (NOMR) Panel - Life Sciences Alumni Edition The Science Hub will present a Life Sciences Alumni Edition of the Not on My Résumé (NOMR) panel at the STEM Building, Room 110, 817 W. Franklin St. NOMR is an opportunity for you to learn about experiences on the other side of a traditional résumé, which often... highlights the accomplishments of an individual but doesn't tell their whole story. You will hear from VCU Life Sciences alumni panelists about all the things that happen on the path to success that do not always end up on a résumé, including overcoming obstacles and navigating various side steps on their journeys. Join us for a candid panel conversation, including a Q&A portion, then stay for a meet and greet where you'll have the chance to mingle and network with the panelists as well as other students interested in the life sciences. Register at https://forms.gle/GjjHUX7aBfkEGdF17 STEM 110 Sunauz Moezzi moezzis@vcu.edu DD/MM/YYYY

Tuesday, Mar. 31, 2026 from 4 p.m. to 5:30 p.m.

The Science Hub will present a Life Sciences Alumni Edition of the Not on My Résumé (NOMR) panel at the STEM Building, Room 110, 817 W. Franklin St. NOMR is an opportunity for you to learn about experiences on the other side of a traditional résumé, which often highlights the accomplishments of an individual but doesn't tell their whole story. You will hear from VCU Life Sciences alumni panelists about all the things that happen on the path to success that do not always end up on a résumé, including overcoming obstacles and navigating various side steps on their journeys. Join us for a candid panel conversation, including a Q&A portion, then stay for a meet and greet where you'll have the chance to mingle and network with the panelists as well as other students interested in the life sciences. Register at https://forms.gle/GjjHUX7aBfkEGdF17

For more information, contact Sunauz Moezzi at moezzis@vcu.edu or (571) 223-9390 or visit https://clc.vcu.edu/science-hub/.
 
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Tool For Turbulent Times: The Talent Marketplace


Everyone is talking about talent marketplaces: new AI platforms that match people with opportunities based on skills. Talent marketplaces are GPS for careers, the labor market digital infrastructure we've lacked until now. Job seekers upload or build résumés, complete skills assessments, and are matched to open jobs where they're an immediate fit as well as provided with an employment roadmap and... corresponding upskilling programs for opportunities along the way. More important, talent marketplaces have the potential to become the navigation layer atop our fragmented education and workforce systems.

The U.S. Department of Education is so pumped about talent marketplaces that, last fall, it went out of its way to note that talent marketplaces are an allowable use for $167M in FIPSE (postsecondary education improvement) grants. For another grant program, Trio, which historically had supported college for low-income and first-generation students, ED just announced $175M in new funding and directed applicants to "explore talent marketplaces... as equally viable and often faster routes to economic mobility as traditional college programs." Finally, a new a $15M talent marketplace challenge completes ED's talent marketplace trifecta. Grant proposals are due at the end of this month. Up to 10 states will divide the funds and willing states will need to convince ED that their action plan is likely to lead to statewide adoption.

But it's not as if Linda McMahon came up with the idea. Without any federal support, states have gotten to work. Under the leadership of Nick Moore - not coincidentally now Acting Assistant Secretary at ED - Alabama launched its Talent Triad. Both Triad and Arkansas' marketplace Launch welcome all job seekers and students. The problem, as Alabama learned when, in year three of Triad, only 1,000 jobs were listed on the platform, is chicken-and-egg: why would companies bother listing jobs on a platform unless there are lots of job seekers? Likewise, why would job seekers use a talent marketplace with relatively few jobs? "Build it and they will come" won't work for talent marketplaces.

So the most exciting progress has been at workforce agencies which have a built-in audience of job seekers i.e., unemployment insurance claimants required to participate in the workforce system. They also have established connections with companies. Workforce systems already have chickens and eggs.

Equally important, talent marketplaces are a solution for what ails workforce development. If you thought colleges and universities were bureaucratic, allow me to introduce you to America's workforce system. Workforce agencies aren't principally set up to place people in good jobs or launch careers, they're designed to follow the Byzantine rules that accompany workforce dollars. The results for job seekers, companies, and sometimes training providers, can be bewildering.

Brace yourself for one example. When a worker in Fresno, CA, is laid off and searches for job training, he'll land on the California Employment Development Department (EDD) site which reads: "Looking for New Skills or Training? Check out our no-cost job and training services available across the state!" But there's no obvious link on the page to training programs. Instead, EDD suggests that the worker:

Below this lies the header Where to Get Training. Sounds promising except the link brings him to the California Eligible Training Provider List, which leads a description of ETPL. One more click reveals a link to the CalJobs site which has a section for job seekers and a link for education and training. This brings up a search page. Searching on nursing yields a list of programs. Clicking on a program provides the following:

But no link to the actual program. Speaking of grievance...

Beyond the unfathomable lack of assistance for those who need it most, workforce UI/UX makes the Fresno DMV look like a paragon of design; each page looks different, often belonging to a different agency or organization. Everything is text-heavy, opaque, and exceptionally hard to navigate. So one primary reason workers aren't taking advantage of the workforce system to reskill is because current digital resources are workforce word salad. Talent marketplaces are the tonic: an urgently needed navigation layer that allows all constituents - job seekers, companies, and training providers - to get what they need by cutting through stifling bureaucracy and legacy bad design decisions (assuming there were affirmative decisions).

State leaders are beginning to realize they're not getting what they need. If their workforce systems are accomplishing anything, it's speed-to-fill into low-skill, high-turnover positions for low-income, unemployed workers. Upskilling and economic mobility aren't occurring in any measurable way. Talent marketplaces have the potential to break workforce development out of this vicious circle.

Leading the talent marketplace revolution at workforce agencies is FutureFit AI, which - as the name suggests - leverages AI for job and training matching as well as for scraping and platforming all posted jobs in the geography (updated daily, thereby addressing the weaker side of the equation for workforce agencies). The FutureFit experience for a dislocated worker couldn't be more different. Within minutes of answering a few questions or uploading a résumé, he'll have a skills profile and a set of realistic career pathways, not just job listings. Clicking into a pathway provides a step-by-step plan with working links to training options and live jobs.

FutureFit's platform is already powering statewide marketplaces in South Carolina, Connecticut, and Colorado, as well as regional marketplaces in San Bernadino and Washington State. It's also big in Canada where it runs talent marketplaces at federal, provincial, and local levels. The outcomes are impressive: high percentages of participants hired into relevant, higher wage jobs. In Connecticut, 7,000 job seekers have been trained for jobs in high-growth sectors and over 85% have been placed. I'm not surprised because talent marketplaces do a better job of helping companies ascertain candidate fit and interest than a typical hiring process.

Although federal and state departments of labor haven't reached U.S. Department of Education-level enthusiasm for talent marketplaces, the problem and solution are so obvious that it won't be long before state and local workforce agencies are required to leverage technology and implement solutions like FutureFit before receiving workforce dollar one.

While workforce agencies are the beachhead, talent marketplaces are needed more broadly. With significant AI-driven labor market dislocation around the bend, we need to keep the population requiring workforce assistance from increasing by an order of magnitude. How will talent marketplaces reach college graduates and other career launchers before it's too late?

Again, the action isn't at the Department of Education, wherever it might be located. Recognizing that education and workforce navigation is first and foremost a data problem, states have moved quickly to build unified systems that connect education, workforce, and earnings outcomes. California has connected K-12, higher education, financial aid, workforce, and social services data in its Cradle-to-Career data system. Virginia has built the Virginia Longitudinal Data System linking K-12, postsecondary, and wage records. Michigan has integrated education and labor market data through the Michigan Longitudinal Data System. And Arizona has developed its Education Progress Meter to track attainment and workforce alignment, tying educational pathways directly to labor market demand. Other states making progress on data integration include Texas, Indiana, Kentucky, Washington, Florida, Colorado, Ohio, Maryland, and Minnesota. The Education Commission of the States has identified 32 states with active longitudinal systems connecting data across at least two sectors.

This may be the most consequential development in workforce development. Because unified education and workforce data make it much easier for job seekers and career launchers to say yes to talent marketplaces. By opting in, it will be possible to populate their education and work data, match to jobs, and identify new education and training opportunities to advance within and expand their zones of proximal development. Through unified state-level data systems, most Americans (i.e., the 75% of us who've never moved to another state) can benefit from a GPS for education and employment decisions. And in so doing, talent marketplaces will evolve from serving workforce agencies to dynamic career navigation systems for everyone.

My first book College Disrupted discussed the prospect of talent marketplaces. Although the term I chose was workforce-wonky - competency management platforms - and the technology took a decade to catch up, the idea was right: "Allow job seekers to... upload their resume and transcript... point to a goal job or career... measure the competency gap between where they are and where they want to go... recommend educational options for filling that gap based on available time-to-job... then... map the most efficient path from here to there." Talent marketplaces were bound to happen because "while digital marketplaces have revolutionized sectors such as consumer goods, real estate and personal relationships... there has not yet been a marketplace for human capital."

With the emergence of talent marketplaces, it no longer makes sense to make important education and career decisions without technology. As I wrote a decade ago, "students won't have to be completely in charge of their own education. They'll be following a path. Granted, that path will be dynamically created by machines rather than handcrafted on an Ivy-covered quad. But it will be different and better than the current DIY path."

In turbulent times, this is the navigation assistance every young American desperately needs.
 
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The Mirage of Big Tech: How Perpetual Bluffers, Not Hard Workers, Game the System


The Mirage of Big Tech: How Perpetual Bluffers, Not Hard Workers, Game the System

In the current tech landscape, a disturbing pattern has emerged. Many product designers, UX designers, and UX researchers -- especially those who have managed to secure roles at a few major tech companies -- are often overpaid, underqualified, and largely unproductive. Their success has little to do with skill,... knowledge, or hard work, and everything to do with political maneuvering, résumé inflation, and the art of appearing busy while doing nothing.

Here's how the cycle works:

Once you kiss the right rings and charm your way into your first big tech role -- regardless of your actual ability -- you're set. You don't need to know math, design fundamentals, coding principles. You don't need a portfolio. You don't even need to understand responsive grids, micro-interactions, or basic UI logic. All you need is the ability to boast loudly in meetings, take credit for others' work, and position yourself as indispensable through words, not deeds.

At big tech companies, slacking off is not only possible -- it's easy. The bureaucracy is so thick, and the teams so fragmented, that an empty suit can coast for years. You learn to schedule meetings about meetings, produce shallow slide decks, and speak in corporate buzzwords. You become "high profile, hollow inside." And because your résumé now carries a prestigious logo, other big tech companies assume you must be competent. So you jump from one firm to the next, each time bringing the same empty toolbox, each time retiring early on the clock.

The tragic irony is that the real talent -- the interns and junior designers who actually understand responsive design, micro-interactions, accessibility, and polished UI -- cannot get a foot in the door. They have strong portfolios, real coding-adjacent skills, and genuine curiosity. But they are hard workers, not loud talkers. They are honest, not boastful. And in a system that rewards performance over substance, they are locked out.

What is left is a bloated class of high-salaried bluffers, drifting through their careers like ghosts in the machine -- doing nothing, knowing nothing, and yet constantly rewarded for the illusion of expertise. The industry has confused confidence with competence, tenure with talent, and loudness with leadership. Until that changes, the hardest-working designers will remain on the outside, while the emptiest insiders live a retired life at Big Tech.
 
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Terrance Noel, Brayden Burns lead Albany Herald's All-Albany team - Albany Herald


Some years, the choices fall into place.

This wasn't one of them.

This was a season of arguments -- the good kind. The kind that start in gyms and carry into text messages, barbershops and late-night conversations. The kind that force you to look twice at résumés that, in most years, would stand alone.

Start with the sideline.

Westover's Dallis Smith -- the standard-bearer, the constant -- did... what he has always done. He built another winner. The Patriots ran the table in region play, climbed to No. 1 in the state rankings at one point, and finished No. 5 in the final poll. Dominance, sustained and expected.

At Deerfield-Windsor, Rundy Foster orchestrated something just as impressive. The Knights flirted with perfection, their only real resistance coming from Brookwood. They had positioned themselves for a serious postseason push before circumstances -- illness to one player, suspension to another -- changed everything at the worst possible time.

Both were worthy.

In most years, either would have been the choice.

But this year wasn't most years.

This year belonged to Dougherty's Terrance Noel.

First year on the job. Eight seniors gone from an Elite Eight team. A roster leaning heavily on freshmen. The kind of setup that usually signals a step back -- a reset.

Instead, Noel pushed forward.

He trusted youth. He accelerated growth. And by season's end, the Trojans were right back where they started -- in the Elite Eight.

Not rebuilding. Reloading.

That's why Terrance Noel is the Albany Herald's Coach of the Year.

If Noel reshaped expectations from the bench, Monroe's Brayden Burns controlled them on the court.

Burns, the Albany Herald Player of the Year, was relentless. His 20.7 points per game only tell part of the story. He was the shot-maker when possessions broke down, the scorer when Monroe needed a run, the player opponents built entire game plans around -- and still couldn't contain.

Westover's Gregory Williams earned Offensive Player of the Year honors by doing what great offensive players do: produce, consistently and efficiently. His 14.3 points per game came within the rhythm of a balanced attack, but when the moment called for more, Williams delivered.

Lee County's TJ Williams anchored the defensive end with a different kind of impact -- the kind that doesn't always show up in the box score but changes everything. He guarded the best, disrupted the rest, and earned Defensive Player of the Year honors with effort that never dipped.

And at Dougherty, the future is already arriving.

Jherel Gibson, the Freshman of the Year, wasn't just promising -- he was productive. A key piece of Noel's rotation, Gibson helped fuel a run that few saw coming this quickly.

What emerges from this year's All-Albany team is a picture of depth -- across programs, across styles, across experience levels.

From established contenders to rising groups, the talent ran deep.

First Team

* Josiah Franklin, Lee County

* Marcus Heath Jr., Dougherty

* Jalen Holmes, Westover

* David Hutchins, Deerfield-Windsor

* TK Johnson, Westover

* Tristan Terry, Monroe

* Jaxon Reese, Westover

* Elijah Rivers, Monroe
 
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