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

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.



MOST POPULAR

BNW Developments has established a Sydney presence, joining Arada and Sobha Realty among the growing number of UAE developers pursuing Australian buyers and development opportunities.

The Australian leather house has opened an immersive four-day pop-up in Manhattan, unveiling its Bloom Collection and redefining what a product launch can look like.

Related Stories
Lifestyle
AI Agents Are a Threat to Travel Businesses. Airbnb Could Still Be a Winner.
By David Wainer 13/10/2026
Lifestyle
Amazon in Talks to Buy AI Startup Decart for Around $7 Billion
By Kate Clark and Lauren Thomas 12/10/2026
Lifestyle
Dolly Parton’s Onetime Hollywood Hills Home Lists for the First Time in a Generation Asking $7.95M
By 06/10/2026

AI-powered travel agents are challenging online booking platforms, but Airbnb’s exclusive listings and direct customer relationships could give it an edge. Its next challenge: turning repeat guests into loyal customers through stronger rewards and innovation.

By David Wainer
Tue, Oct 13, 2026 3 min

AI agents like Muse can already find you the cheapest hotel room in Paris. But they can’t locate a cheaper version of that Catskills cabin you’ve been eyeing, because it might only be available on Airbnb ABNB -1.43%decrease.

Investors should pay attention to that distinction. When Meta Platforms META 3.38%increase launched its Muse agent last month, travel stocks including Booking Holdings BKNG -1.19%decrease, Expedia and Airbnb all fell sharply.

Airbnb, though, has a real chance to emerge as a winner from the upheaval. The catch: Its stock already reflects above-industry growth. To justify its valuation, Airbnb will need to turn repeat customers into loyal ones.

Online travel companies make much of their money by simplifying search and collecting fees on bookings. AI agents threaten that model.

But not all travel marketplaces are equally exposed. Booking and Expedia largely sell hotel rooms that travelers can also book directly or through competing sites. If an agent can find the same room elsewhere, it has little reason to favor either Booking or Expedia.

Booking and Expedia also sell sponsored listings that steer travelers toward particular properties. Wells Fargo estimates those will account for about 8% of Expedia’s revenue and a much higher percentage of profit next year.

Airbnb has more ways to adapt. More than half its listings are available only on its platform, and more than 90% of its traffic comes directly to its app or website.

The customer relationship doesn’t end after booking, either. Bernstein analyst Richard Clarke notes that 90% of Airbnb guests go on to message their hosts about arrival times, keys or local taxes, giving Airbnb a connection to both sides of the transaction.

How the companies have responded to the possible agentic future is telling.

Expedia quickly signed on as a Muse partner. Airbnb hasn’t, and Chief Executive Brian Chesky says AI chatbots have so far been a boon, sending customers to Airbnb’s website.

Chatbots might work for buying paper towels, he quipped at a Skift conference last month, but people enjoy planning trips. He argued that browsing dozens of homes isn’t something a text-based chatbot is well suited for.

Still, the AI jitters arrived just as Airbnb was persuading investors it deserved its pricey multiple. For years after its 2020 initial public offering, the stock—which trades around 25 to 30 times forward earnings—went nowhere. Investors saw a mature operator trading at a growth premium.

This year, Airbnb growth seems to be accelerating. The stock jumped in August after the company raised its full-year revenue-growth guidance with its second-quarter results. Wells Fargo analyst Ken Gawrelski credits a run of product improvements under a revamped leadership team.

Among the changes: letting guests reserve now and pay later, adding hotels, and a redesigned home page and app. Investors were also betting on what comes next, including thousands more hotels, car rentals and, eventually, advertising.

The irony is that some of those growth drivers push Airbnb closer to the kind of business Booking and Expedia run—the kind of business AI agents could threaten. Even if AI agents capture a large share of travel planning and booking, Airbnb would capture the demand. But it and others would slowly lose control over how customers find and choose properties.

That would undermine the advertising opportunity investors are counting on. The bigger point for Airbnb and other marketplaces is that losing control of customer acquisition could mean surrendering some of their pricing power and margins.

To bulletproof itself, Airbnb might look to another e-commerce giant that has so far kept AI agents at arm’s length: Amazon.

Like Amazon, Airbnb has a loyal customer base and hard-to-match supply. But it has nothing like Prime membership to make customers think twice before taking their business elsewhere.

That is where loyalty comes in. Business travelers stick with Hilton or Marriott because enough nights earn them perks. Leisure travelers rarely accumulate stays with one chain. Airbnb has millions of listings and plenty of repeat customers, but no broad rewards program. It has begun experimenting with credits on hotel stays, but it should make loyalty a priority, not just a promotion.

Airbnb also plans to launch its own AI agent next year. But travelers using an agent might still want it to search Airbnb, Vrbo, Booking and hotel websites alike, rather than limit itself to one company’s inventory.

Eventually, Airbnb might have to strike deals with agent makers, using its unique homes as leverage to negotiate favorable terms, says Gawrelski. Such deals, along with rewards for loyal guests, could over the long term eat into the company’s roughly 13% take rate, he adds. But if they bring in enough additional bookings, the trade-off could be worthwhile.

History offers a reason not to panic. The shift from desktop to mobile unsettled investors in Alphabet and Amazon, but both emerged as major beneficiaries. Companies with valuable assets can come out of a platform shift stronger, if they adapt quickly enough.

Airbnb has homes the bots can’t easily replace. Now it needs to give guests a reason to insist on booking them there.