More Applicants, Fewer Hires: The Signal Problem Freezing The Job Market

The 2026 job market is trapped in a gridlock. Companies are dealing with record applicant volumes, yet actual hiring has slowed to a crawl. As employers and candidates work through the friction, the process has grown slower on both sides of the application portal. Talent acquisition teams are under pressure from heavy inbound interest, and many qualified applicants still struggle to secure meaningful interviews. AI algorithms might handle the influx, but they’ve also introduced complications in how employers and candidates find each other in the 2026 labor market.

Ashley Sawdaye, Founding Managing Partner of Galaxy Consulting, has spent 25 years working across digital advertising, enterprise transformation, and emerging tech. He led L’Oréal’s first global digital transformation and helped scale Advertising.com to a $435 million acquisition as employee number six. Today, with decades of leadership roles behind him, he advises early-stage companies and has a front-row view of how automated hiring practices and non-linear career paths clash in today’s talent pool.

“There are a lot of fake jobs out there, and a lot of people are using AI to embellish their resumes, which doesn’t help the matter. Once you get into a desperate situation, you lean on desperate measures, and that creates a lot of headwinds for people who are presenting themselves honestly,” says Sawdaye. The distortions show up at every stage of the hiring funnel, from how candidates present themselves to how employers sort through the noise.

• Flooding the funnel: Much of the friction traces back to automation trends. The surge in AI-driven applicant volume is distorting the talent pool, often leading to mis-hires when some candidates aggressively optimize their resumes to beat the system. “Applicant volume has doubled, but hiring confidence hasn’t,” Sawdaye remarks. “That gap is where mis-hires, burnout, and broken teams start and it’s felt painfully on both the candidate and organization sides of the coin.”

• Filtered out by default: Relying heavily on Applicant Tracking Systems and rigid keyword screening filters to manage the influx introduces a secondary hurdle: credential blindness. For professionals with non-linear backgrounds, rigid software parameters can sometimes prevent qualified talent from ever reaching a hiring manager. “We don’t have a talent shortage, I think we have a signal problem. When AI floods the funnel with applications, the risk on the employer side isn’t missing candidates, it’s missing the right ones.”

• Context over keywords: Relying solely on an ATS to flag keywords frequently limits opportunities for the human conversations needed to identify stronger, less obvious candidates. “The companies that win in this market won’t be the ones with the most applicants,” says Sawdaye. “Anyone can get applicants if they’re offering the right role or compensation. The winners will be the ones that bring context, conversation, and humanity back into hiring.”

But the dysfunction isn’t just on the candidate side. That apparent boom in job postings is misleading. Many sectors feature a mix of aspirational job postings that struggle to convert into actual hires. Malicious scams account for a small fraction of the problem, a reality Sawdaye notes he’s seen firsthand after a colleague encountered financial theft during a fraudulent interview process.

Sawdaye points to the undercapitalized regional startup as a common contributor to the fake jobs phenomenon. In some markets, these companies post executive roles while still pursuing funding. When budgets fall short of top-tier salary expectations, teams often pause the search, leaving unfunded roles hanging on job boards. Market pressures also lead to compensation compression, creating a mismatch between employer expectations and available talent.

• Enterprise taste, startup budget: “There are a lot of seed and pre-seed companies, but these startups are not always going to be offering people what they want to be paid,” Sawdaye says. “So there are jobs out there, but there’s also not a lot of capital.”

• Discounting the talent: Employers making deep cuts to compensation can struggle to attract experienced, exact-match talent. “You have people who have serious value and are not going to go for lower compensation,” he says. “You’re really not getting apples to apples anymore.”

• Analog over algorithms: To beat an automated market, seasoned pros are going analog—relying on high-effort tactics that software cannot easily replicate. Sawdaye looks back to what worked before algorithms became embedded in every step of the process: human-to-human conversations and differentiated effort. “You just have to have perseverance and tenacity,” Sawdaye says. “I’ve done handwritten notes to hiring people after I’ve had an interview. Everyone’s using AI, but I’m going to hiring events, trying to meet as many people as possible.”

Navigating the current hiring bottleneck requires re-evaluating how technology is used and where it should give way to more deliberate human engagement. Revisiting role design, aligning compensation with market realities, and carving out space to review non-linear candidates helps balance efficiency with judgment. Sawdaye suggests HR teams can benefit from reintroducing the human component into their talent pipelines.

“Be human about things,” he says, noting that empathy can be as simple as proactively telling a candidate that a role was filled. “If you’re hiring for a company, most likely you’re getting paid and that person that you’re talking to is not.” For teams dealing with a high volume of applications, basic human responsiveness protects an employer’s brand, and clear, consistent communication goes a long way toward shaping candidate experience.