My friend Carla applied for a marketing manager position at a mid-sized SaaS company last month. She's got eight years of experience, a portfolio that speaks for itself, and the kind of confident phone presence that makes recruiters sit up straighter.
Her first interview wasn't with a recruiter. It wasn't with a hiring manager. It was with an AI chatbot.
"It asked me to describe a time I managed conflicting priorities," she told me over coffee, still visibly annoyed. "And then it just... waited. No facial reactions. No 'oh interesting, tell me more.' Just a text prompt on a screen asking the next question."
Carla didn't get the job. She doesn't know why. The AI never told her. Neither did the company.
She's not alone. And the financial implications of this shift are bigger than most job seekers realize.
Photo by Anna Shvets via Pexels
AI Hiring Is No Longer an Experiment — It's the Default
A recent Verge investigation documented what millions of job applicants are now experiencing: being interviewed, evaluated, and often rejected by artificial intelligence before a human ever sees their resume. The piece went viral on Hacker News with over 170 upvotes and 180 comments, most of them from people sharing their own AI interview horror stories.
According to a 2025 survey by the Society for Human Resource Management (SHRM), approximately 44% of companies with over 500 employees now use some form of AI in their initial screening process. Resume scanners have been around for years. But the new generation of tools — Mercor, HireVue's AI assessments, Paradox's Olivia chatbot — go further. They conduct full conversational interviews, assess "soft skills" through voice analysis, and rank candidates before a human recruiter ever gets involved.
The sales pitch to companies is compelling: faster screening, reduced bias (theoretically), and significant cost savings. According to Ideal (now part of Ceridian), AI screening can reduce cost-per-hire by up to 75% and time-to-fill by up to 50%.
But nobody's talking about the cost to the person on the other side of the screen.
The Hidden Financial Toll on Job Seekers
Here's what Carla spent during her three-month job search, where roughly half her initial interviews were conducted by AI:
Interview preparation tools: $247. She paid for a mock AI interview service ($29/month) plus a resume optimization tool ($79) designed to get past ATS filters. These tools didn't exist five years ago because they didn't need to.
Professional headshot and video setup: $180. Two of the AI interview platforms required video responses, and the lighting in her apartment was, in her words, "murder lighting." She bought a ring light and a backdrop.
Lost income from preparation time: ~$1,400. Carla is a freelancer. Every hour spent preparing for and taking AI interviews was an hour she wasn't billing clients. She estimates she spent 35+ hours on AI-specific interview prep over three months.
Total: roughly $1,827 in direct and opportunity costs — before she ever spoke to a human being.
My colleague Derek, who works in talent acquisition, wasn't surprised by these numbers. "Companies are transferring the cost of screening to candidates," he said. "They save money. Candidates spend more. Nobody tracks that trade-off."
The Transparency Problem
Here's what bothers me most: when a human rejects you, there's usually a reason, even if they don't share it. When an AI rejects you, there's a score — and you'll never see it.
Under the EU AI Act (which took effect in February 2025), AI systems used in employment decisions are classified as "high-risk" and subject to transparency requirements. Companies must disclose when AI is being used and provide meaningful explanations of automated decisions.
In the United States? Not so much. Illinois was the first state to regulate AI in hiring with its AI Video Interview Act (2020), requiring companies to notify candidates and obtain consent before using AI to analyze video interviews. New York City's Local Law 144 requires bias audits of automated employment decision tools. But most states have no specific regulations at all.
The result: millions of Americans are being evaluated by algorithms they can't see, using criteria they can't question, with no meaningful way to appeal.
"I asked the company what the AI evaluated me on," Carla told me. "They said they couldn't share that because it was 'proprietary methodology.' That's the corporate equivalent of 'because I said so.'"
What the Research Says About Bias
One of the big selling points of AI hiring is that it reduces human bias. And there's some truth to that — AI doesn't care if you went to a fancy school or if the interviewer happened to be in a bad mood.
But AI introduces its own biases. A 2024 study from the National Bureau of Economic Research (NBER) found that AI screening tools trained on historical hiring data systematically disadvantaged candidates over 50, non-native English speakers, and people with non-traditional career paths. The AI wasn't malicious — it simply learned from decades of biased human decisions.
The Equal Employment Opportunity Commission (EEOC) has been increasingly vocal about this. In 2023, they issued guidance clarifying that employers can be held liable for discrimination even when it's caused by an AI vendor's tool. But enforcement has been slow.
"The technology is moving faster than the regulation," Derek admitted. "Companies are deploying these tools because they can, not because they've been proven fair."
What You Can Actually Do
If you're job hunting in 2026, here's what I'd recommend based on conversations with recruiters, AI researchers, and way too many frustrated job seekers:
Ask upfront if AI is involved. Before investing time in an application, email the recruiter and ask whether the initial screening involves AI. Some companies will tell you. Knowing lets you prepare accordingly.
Don't over-optimize for the robot. There's a growing cottage industry of "AI interview prep" services that promise to help you "beat" AI screeners. Some are useful. Most are selling snake oil. The best preparation is still being genuinely good at what you do and communicating it clearly.
Track your costs. Keep a spreadsheet of what you're spending on job search tools, prep services, and time. If you're a contractor or freelancer, these may be tax-deductible as job search expenses (consult a tax professional — this is not tax advice).
Know your rights. If you're in Illinois, New York City, or applying to EU-based companies, you have specific rights around AI transparency in hiring. Exercise them.
Factor in the hidden costs when evaluating offers. If a company put you through three rounds of AI screening before a human conversation, that tells you something about how they value people. Factor that into your decision.
The Bigger Picture
I'm not anti-AI in hiring. Used well, these tools can reduce genuine bias, speed up the process for everyone, and help companies find candidates they might have overlooked. That's the promise.
But the current reality is messier. Companies are saving money. Candidates are spending more. Transparency is minimal. And the people most affected — job seekers who are already financially stressed — have the least power to push back.
Carla eventually got a job, by the way. At a company that interviewed her the old-fashioned way: a phone call with a recruiter, two rounds with the team, and an offer. "It felt like they actually wanted to know who I was," she said.
Imagine that.
Disclaimer: This article is for informational purposes only and does not constitute financial, legal, or career advice. Consult qualified professionals for guidance specific to your situation.
