AI Broke Hiring. We Rebuilt the Job Application.

I love what AI is doing for the work my team does every day. It's a genuinely interesting time to get to solve problems for some of the best employers in the world.

But I have to be honest: AI has made hiring harder for most TA teams, not easier. And I think we have to say that out loud before we can talk about what comes next.

What I Keep Seeing

Recruiters have become detectives. They're spending hours a day trying to figure out who is a real candidate and who isn't — and the data backs up what every TA leader I talk to already knows. Gartner projects that one in four job applications will be fake by 2028, and 41% of risk and fraud leaders say their organization has already hired and onboarded a fraudulent candidate. The great candidates are the ones who get hurt the most by this; they get lost in a black hole that just keeps getting deeper.

Then there's the resume problem. Everything looks the same now. So recruiters are mass-rejecting anything that smells like a template, which means real, qualified people are getting cut. Time-to-hire is going up, not down.

Meanwhile, candidates aren't where they used to be. Last year we saw a 62% rise in traffic from non-traditional sources — the people who used to live on job boards are on TikTok, in Reddit threads, and asking ChatGPT what to do next. The whole funnel most employers built — point everyone at the career site — is breaking in slow motion.

That's the bad news. Here's why I'm optimistic about what's next.

What ApplyAnywhere Taught Us

Last year we built ApplyAnywhere, and it proved something important: when you make the candidate experience better at scale, the business outcomes follow. Not by a little. By a lot.

ApplyAnywhere applications are 2.5x more likely to be qualified. Clients using it pay $206 per qualified applicant; Clients without it pay $1,359. Cost per hire drops by a thousand dollars. Time to fill drops from 83 days to 40 days — six weeks faster to a hire.

The thesis is proven. Better experience wins. But ApplyAnywhere wasn't built to fight fake applicants, and it couldn't follow candidates off the job boards into the rest of the internet. We needed something else.

What We Built Next

We built our own job application. One that can live anywhere on the internet, embedded directly into our clients' hiring systems and placed wherever the candidate already is. No redirect to a career page. No funnel pointing somewhere else. The actual apply experience, meeting people where they are.

And we didn't build one form for every job. That's the part that wouldn't have worked. AdaptiveApply changes based on the job and the market — variable friction, tuned to what our clients are actually trying to accomplish on that req.

This is where AI becomes a meaningful part of the solution rather than a contributor to the problem.

We're building a marketplace of best-in-class providers — ID verification, assessments, AI screening — that plug directly into the application itself. The candidates who reach the ATS are pre-verified and pre-screened. The detective work goes away. The candidate experience improves. Employer brand benefits along the way.

And because it's all built into the application, our clients don't have to spend six months redlining a contract every time a new capability comes to market. We can A/B different tools against each other and swap in whatever's working before most of the market has even heard of it.

What This Is Really About

The game has changed. Talent that moves the business is harder to find than ever. Candidates are everywhere. AI-generated applications are flooding the funnel. The old playbook isn't working — and the cost of running it another year is measured in recruiter burnout, missed hires, and an employer brand that erodes quietly while the fraud volume climbs.

AdaptiveApply isn't a marketing ROI play. It's how you future-proof your TA team for what hiring has already become.

Want to see how AdaptiveApply would work for your team? Get in touch.