Landing a Job Is All About Who You Know (Again) - Kanebridge News
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Landing a Job Is All About Who You Know (Again)

Networking is making a comeback as employers drown in computer-generated job applications

By CALLUM BORCHERS, LINDSAY ELLIS
Fri, May 31, 2024 9:44amGrey Clock 6 min

Nine-hundred eighty-three people applied online for a job posted recently by tech recruiter Rob Tansey. The candidate who got the offer wasn’t one of them.

Tansey, who scouts potential hires for aviation-software maker Veryon, received a half dozen referrals from a woman he knew from past job searches. One of those six quickly became the front-runner. That’s often how Tansey operates: He estimates that just 40% of successful applicants come in cold through his company’s job portal.

“There’s an idealist in me that wants to look at all the résumés,” he says. “The reality is you just can’t.”

Who-you-know networking is back. As the number of job applicants has swelled in recent years, the key to landing a new position often turns on a personal connection that can pluck your résumé out of online obscurity and ensure it’s seen by a real person.

Behind the resurgence: frustration with the digital slog that bogs down U.S. hiring. Many hiring managers and applicants agree that the ease with which job hunters can respond to help-wanted postings has broken the online-application process by creating high volumes of candidates that hiring managers can’t hope to parse through. Meanwhile, applicants say automatic screening tools are shutting them out of opportunities.

Reverting to referrals threatens to undermine corporate diversity efforts, which were supposed to be aided by online applications. Software promised to democratise hiring by reducing human biases, but wider talent pipelines have overwhelmed some employers to the point where they’re reaching for what’s worked in the past.

To promote the use of connections, some employers, like software giant Dassault Systemes , have increased cash rewards for employees whose recommendations lead to hires. Others, including the University of Miami and its health system with 20,000 total employees, have launched new referral-bonus programs. Corporate hiring software can allow companies to identify referred candidates first, boosting those applicants over the competition.

Whether recommendations come from in-house or outside the company, the advantages are significant, according to data compiled by the hiring-software company Greenhouse. For roles that were posted on Greenhouse job boards and filled in the first quarter of this year, applicants with referrals had a 50% chance of advancing past an initial résumé review, compared with 12% odds for other external candidates.

Thirty percent of eventual hires had referrals, even though people with referrals represented just 5% of the applicant pool.

“Candidates are so desperate to get noticed, and they’re asking, ‘What’s the cheat code? What’s the way to get through the filters?’” says Jon Stross, Greenhouse’s co-founder. “Get referred. It really increases your chances of getting through the first filter.”

AI arms race leads to frustration

The renewed reliance on networking comes as applicants and hiring managers are struggling to navigate the software that now dominates recruiting.

Companies are swamped by applicants in part because many job seekers are newly relying on ChatGPT and automated bots to fire off large volumes of résumés, or using other shortcuts like LinkedIn’s “easy apply” button.

Some human-resources professionals lament that cover letters sound eerily similar, as if written by the same nonhuman.

Candidates fume when they click “submit” and don’t hear back—and sometimes even when they do. Amanda Palasciano, in Red Bank, N.J., scored an interview for a senior copy-manager position as she sought a job in advertising. The catch was that her interviewer was an avatar, not a person.

The video call was awkward. Palasciano, 42, had a short window to record her response to each question. She didn’t know where to look. Soon after, she was rejected.

“It put a bad taste in my mouth about the company,” she says. “If that’s how much reliance you put on brand-new tools over people, this isn’t the right place for me.”

She decided to stop applying online and started asking former colleagues about short-term openings , aiming to convert one to a full-time job.

“This front door is locked,” Palasciano says. “We’re going through the back door, or we’re not working.”

Fewer applicants, higher quality

Lindsay Broveleit, a Minneapolis-area vice president at the marketing agency Matato, didn’t bother posting a job listing online when she needed to fill a midlevel role this spring.

She feared that listing the position on LinkedIn or the company’s website would bring throngs of low-quality applications—and she was anxious about how truthful AI-enhanced applications might be.

“A couple of years ago, I would have absolutely pursued more digital channels that are more public-facing,” she says. Not now. “We don’t want that many applicants. We want good ones.”

She thought to tap her and her colleagues’ networks to fill the role, but she soon reconsidered—even those personal channels have become oversaturated with first- and second-degree connections looking for work.

Employees are “inundated with people asking for their help to navigate into open positions,” she says.

She contracted a staffing agency instead.

Whether using agencies or their own employees, more companies are turning to people to vet prospects.

Laserfiche, a maker of content-management software, has a longstanding employee-referral program and a renewed commitment to contact everyone who is recommended by an employee.

The guaranteed outreach does not ensure an offer, says Vice President of People Jenny Bode, but it is a chance for candidates with unconventional backgrounds to make a case for themselves. With about 400 applicants for a typical opening, that’s an opportunity not afforded to everyone.

Bode values referrals partly because one helped bring her to Laserfiche in 2022. She wasn’t even looking for a job when she heard from a former co-worker she’d kept in touch with.

“She reached out to me and said, ‘I have this position. Do you want to interview for it?’” Bode recalls.

Alison Mincey introduced referral bonuses of up to $2,500 when she became chief human resources officer at the University of Miami in 2022. She estimates one in 10 hires now starts with an employee referral. The program, she says, also helps with retention: Employees are more engaged when their input is valued, and newcomers are more likely to stay and thrive when they already know a co-worker.

A flawed but indispensable system

On Greenhouse’s platform, when employees submit referrals, the software prompts them to “consider referring people from underrepresented backgrounds.”

That can be a challenge. People tend to know—and therefore recommend—people like themselves, says Ruth Thomas, chief of research and insights at PayScale, a compensation-management firm. (PayScale itself has lately doubled its usual share of new hires found through referrals, to 30%.)

Referral networks tend to reinforce demographic imbalances . A PayScale survey of 53,000 workers found that white men land more jobs and bigger raises through referrals than others because they are more likely to be connected to corporate decision makers.

Hiring managers might say, “They were in my club at Princeton, and therefore, they’re a good person,” says John Horton, an associate professor at the Massachusetts Institute of Technology’s Sloan School of Management and co-author of a recent paper on artificial intelligence in hiring. “If people start to retreat away from an open market, and it happens much through who you know and references, that would be bad.”

Cisco Systems is leaning more heavily on referrals for hiring than it has in the past. But the network-equipment company knows the approach can run counter to diversity efforts, so it also launched an effort to hire more people of color and workers without four-year degrees, says Macy Andrews, vice president of employer branding for people and purpose. That hiring initiative looks to identify candidates with transferable skills rather than mandating college. Cisco so far has made over 100 hires through the initiative.

The company is looking to cut through the online-application morass in other ways as well. Cisco recruiters now visit college campuses with preprinted offer letters, so they can snap up students who make strong impressions.

“There is a bigger point here, which is that the process of sending in résumés and having thousands—sometimes millions—to go through isn’t the wave of the future,” she says.

No connection, no luck

Samuel Joynson, of Venice, Fla., launched a thoroughly modern job hunt after he lost his job when his company went through a reorganisation. He enlisted ChatGPT to edit his résumé and draft emails and cover letters.

The language didn’t sound like him—so he changed his approach.

Joynson, 28 years old, switched to writing his own letters and emails, investing about two hours into each application. He also pushed himself to contact everyone he knew at major tech companies including Apple, Google and Microsoft , where he talked to a friend from college. On calls, he asked them about their experiences at the companies, the office environment and remote-work policies.

“I took the approach of making it as human-based as possible,” he says.

Joynson’s old-fashioned strategy paid off. Many conversations led to introductions to other employees within his target companies. He landed a role and started as a senior technical program manager at Microsoft in April.

Francisco Denis recently discovered that connections—or lack thereof—can make all the difference. He says he was a finalist for a project-manager role at Disney but was told by a recruiter that the company decided to hire someone who had worked there in the past and could plug in immediately.

Denis, 40, has applied online for more than 100 jobs this year after moving on from an unsuccessful startup. His efforts have yielded only a handful of interviews, a jarring turn from a couple of years ago, when he was routinely headhunted. He’s pouring energy into networking for the first time in his career, reconnecting with former co-workers at companies he’d like to join. He often shares his résumé and describes his arduous job search to show that he’s not looking for a handout.

Still, even a system that relies on human connections can be gamed. On Fishbowl, an app for workplace venting and career advice, users have started a forum dubbed “Job Referrals!” It has drawn hundreds of thousands of members seeking endorsements from people they don’t know.

“Anyone willing to provide a referral to Amazon ?” one user posted.

In lieu of a handshake or business card, another offered an emoji: “Looking for a referral for Spotify, thanks in advance :).”

Bogus referrals could be win-wins for the people who give and receive them. The applicants gain an edge and, if they’re hired, their sponsors might be entitled to referral bonuses.

The companies that extended the offer? They’re left with one more hiring strategy that can’t be trusted.



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Their careers spanned the personal computing, internet and smartphone waves. But some older workers see AI’s arrival as the cue to exit. 

By Lauren Weber & Ray A. Smith
Tue, Apr 7, 2026 4 min

Luke Michel has already lived through two technology overhauls in his career, first desktop publishing in the 1980s and online publishing later on. But AI? He’s had enough. 

So when his employer, the Dana-Farber Cancer Institute, made an early-retirement offer to some staff last year, the 68-year-old content strategist decided to speed up his exit. Before, he had expected to work a couple more years. 

“The time and energy you have to devote to learning a whole new vocabulary and a whole new skill set, it wasn’t worth it,” he said. 

It isn’t that he’s shunning artificial intelligence—he is learning Spanish with the help of Anthropic’s Claude. But, at this point, he’s less than eager to endure all the ways the technology promises to upend work. 

“I just want to use it for my own purposes and not someone else’s,” he said. 

After rising for decades and then hovering around 40% in the 2010s, the share of Americans over 55 years old in the workforce has slipped to 37.2%, the lowest level in more than 20 years.  

The financial cushion of rising home equity and stock-market returns is driving some of the decline, economists and retirement advisers say. 

But for some older professionals, money is only part of the equation.  

They say they don’t want to spend the last years of their career going through the tumult of AI adoption, which has brought new tools, new expectations and a lot of uncertainty.  

Many people retire when key elements of their work lives are disrupted at once, said Robert Laura , co-founder of the Retirement Coaches Association and an expert on the psychology of retirement. 

“Maybe their autonomy is being challenged or changed, their friends are leaving the workplace, or they disagree with the company’s direction,” he said.  

“When two or three of these things show up, that’s when people start to opt out.”  

“AI is a big one,” he adds. “It disrupts their autonomy, their professionalism.” 

Michel, whose work required overseeing and strategizing on website content, has been here before.  

When desktop publishing arrived in the 1980s, he was a graphic designer using triangles and rubber cement.  

The internet’s arrival changed everything again. Both developments required new skills, and he was energized by the challenge of learning alongside colleagues and peers. 

It felt different this time around. “Your battery doesn’t hold a charge as long as it used to,” he said. 

He would rather spend his energy volunteering, making art, going to operas and chairing the Council on Aging in North Andover, Mass., where he lives. 

In an AARP survey last summer of 5,000 people 50 and over, 25% of those who planned to retire sooner than expected counted work stress and burnout as factors.  

About half of those retired said they had left work at least partly because they had the financial security to do so. 

In general, older Americans are less likely than younger counterparts to use AI, research shows.  

About 30% of people from ages 30 to 49 said they used ChatGPT on the job, nearly double the share of those 50 and older, according to a 2025 Pew Research Center survey of more than 5,000 adults. 

Baby boomers and members of Generation X also experienced the sharpest declines in confidence using AI technology, according to a ManpowerGroup survey of more than 13,900 workers in 19 countries. 

“We as employers aren’t doing a good enough job saying (to older workers), we value the skills that you already have, so much so that we want to invest in you to help you do your job better,” says Becky Frankiewicz , ManpowerGroup’s chief strategy officer. 

Jennifer Kerns’s misgivings about AI contributed to her departure last month from GitHub, where the 60-year-old worked as a program manager.  

Coming from a family of artists, she said, it offends her that AI models train on the creative work of people who aren’t compensated for their intellectual property. And she worries about AI’s effect on people’s critical-thinking skills. 

So she was dismayed when GitHub, a Microsoft-owned hosting service for software projects, began investing heavily in AI products and expecting employees to incorporate AI into much of their work. In employee-engagement surveys, the company had begun asking them to rate their AI usage on a scale of 1 to 5. 

When it came time to write reports and reviews, colleagues would suggest that she use ChatGPT.  

“I’d be like, ‘I have no idea how to use that and I have no interest in using AI to write anything for me,’” she said. 

It would have been more prudent to work until she was closer to Medicare eligibility, she said. But by waiting until her children were out of college and some of her stock grants had vested, the math worked. 

Her first act as a nonworking person: a solo trip to Scotland, where she took a darning workshop and learned how to repair sweaters.  

“The opposite of AI,” she said. 

Employers already under pressure to cut workers—such as in the tech industry—may welcome some of these retirements, said Gad Levanon , chief economist at Burning Glass Institute, which studies labor-market data. 

“The more people retire, the fewer they have to let go,” he said. 

Some of the savviest tech users are also balking at sticking around for the AI upheaval. Terry Grimm, who worked in IT for 40 years, retired from his senior software consultant role at 65 last May.  

His firm had just been acquired by a bigger firm, which meant learning and integrating the parent company’s AI and other tech tools into his work.   

Until then, Grimm expected he might work a couple more years, though he felt that he probably had enough saved to retire. 

“I just got to the point where I was spending 40 hours at work and then 20 hours training and studying,” said Grimm, who has since moved with his wife from the Dallas area to a housing development on a golf course in El Dorado, Ark.  

“I’m like, ‘I’ll let the younger guys do this.’”