{"slug": "ai-interviews-the-new-gatekeepers-of-white-collar-hiring", "title": "AI Interviews: The New Gatekeepers of White-Collar Hiring", "summary": "Companies like Coinbase and Zapier are using AI chatbots to conduct early-stage interviews for white-collar jobs, a trend that has accelerated in the tech sector. A survey found 63% of U.S. job seekers faced AI interviews in the past year, but critics warn of bias and reduced human connection. The practice raises questions about fairness and whether algorithms can effectively assess candidate potential.", "body_md": "# AI Interviews: The New Gatekeepers of White-Collar Hiring\n\nAI-led interviews are reshaping the hiring process for white-collar jobs. While promising efficiency, they raise questions about bias and candidate experience.\n\nImagine sitting down for a job interview, but instead of a human, you're greeted by an AI [chatbot](/glossary/chatbot). That's the reality for many job seekers today, as companies increasingly use AI to conduct early-stage interviews for white-collar roles. It's a trend that's quietly picking up steam, especially in the tech sector.\n\n## More Candidates, More Problems?\n\nAI-led interviews are no longer just for high-volume, hourly jobs. They're now a tool for companies like Experis and Coinbase, who want to sift through the mountain of applications more efficiently. Bijo Thomas, a tech professional from Austin, recently experienced this firsthand when he encountered Sophie, an AI interviewer, during his job hunt. He eventually landed a senior AI solutions architect position, but not before proving his worth to a bot.\n\nProponents argue that this approach allows employers to consider more candidates, but does it really level the playing field? Or does it introduce a new layer of impersonal scrutiny? Kyle Lagunas, an HR tech analyst, notes that employers might worry about how it looks to rely heavily on AI for such a human-centric task as interviewing.\n\n## Hidden Gems or Tech Glitches?\n\nAn April survey commissioned by Greenhouse found that 63% of U.S. job seekers had faced AI interviews in the past year. That's a significant number, suggesting this isn't just a trend. it's becoming the norm. But are these AI interviews really finding 'hidden gems' among applicants, as some hiring managers claim, or just speeding up a flawed process?\n\nAt Coinbase, their AI interviewer, Milo, has been instrumental in screening candidates for roles below director level. Since its introduction in August 2025, Milo has helped hire over 240 people. Meanwhile, Zapier's AI interview tech has allowed them to screen five times as many candidates as usual. But without human intuition, can AI truly assess a candidate's potential?\n\n## The Fairness Debate\n\nThere's a heated debate about whether AI interviews reduce [bias](/glossary/bias) or just shift it. Critics worry that AI might evaluate candidates based on irrelevant factors like speech patterns or facial expressions. A survey by Greenhouse found that 38% of job seekers walked away from processes involving AI interviews, citing concerns over fairness.\n\ncandidates find these interactions opaque and transactional, with less feedback on their performance. JR Keller from Cornell University points out that candidates often feel like they're not seen as individuals in these AI-led processes. So, are we trading empathy for efficiency?\n\n## Adapting to the New Norm\n\nFor job seekers, this means adapting to a new kind of interview. Alan Stein, a career coach, emphasizes that candidates must treat AI interviews seriously. It's not just about qualifications anymore. it's about how well you interact with technology. In a world where AI's presence in hiring is only set to grow, resisting the change might just leave you on the sidelines.\n\nAI in hiring might promise more efficient processes, but it raises a critical question: Can an algorithm truly understand what makes a great employee, or are we just moving further away from the human touch?\n\nGet AI news in your inbox\n\nDaily digest of what matters in AI.", "url": "https://wpnews.pro/news/ai-interviews-the-new-gatekeepers-of-white-collar-hiring", "canonical_source": "https://www.machinebrief.com/news/ai-interviews-the-new-gatekeepers-of-white-collar-hiring-9omu", "published_at": "2026-07-10 09:23:01+00:00", "updated_at": "2026-07-10 09:46:13.572993+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-ethics", "ai-products", "ai-tools"], "entities": ["Coinbase", "Zapier", "Experis", "Greenhouse", "Sophie", "Milo", "Bijo Thomas", "Kyle Lagunas"], "alternates": {"html": "https://wpnews.pro/news/ai-interviews-the-new-gatekeepers-of-white-collar-hiring", "markdown": "https://wpnews.pro/news/ai-interviews-the-new-gatekeepers-of-white-collar-hiring.md", "text": "https://wpnews.pro/news/ai-interviews-the-new-gatekeepers-of-white-collar-hiring.txt", "jsonld": "https://wpnews.pro/news/ai-interviews-the-new-gatekeepers-of-white-collar-hiring.jsonld"}}