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A hiring manager argues that requiring job candidates to use paid AI tools during technical interviews creates an unfair burden on people without income, and suggests practical ways to reduce that financial gatekeeping without compromising the hiring process.
- Requiring candidates to use paid LLM tools for coding challenges is a new financial barrier unique to hiring—unlike housing or food, these costs exist only to get the job and don't benefit the candidate otherwise.
- Moving technical challenges later in the interview process and making them smaller/free-tier compatible reduces the cost burden on candidates who are already financially vulnerable.
- Good engineers are lost to hiring processes that screen out people who can't afford subscription AI tools, even when they'd be valuable team members—a cost companies never see.
Korn Ferry published "I Need a Job!", a career guide by CEO Gary Burnison that hit Amazon's top spot in three job-search categories. The book addresses a paradox in today's job market: roles people want are being automated away while companies struggle to fill less desirable positions.
- Job seekers now face a fundamentally different hiring process requiring online assessments, video responses, AI navigation, and ATS systems—not just resumes.
- Korn Ferry places roughly one professional every 3 minutes and draws on data from 115 million professionals to inform the book's advice.
- The job market creates a "vicious cycle" where more applicants chase fewer viable openings because automation eliminates desired roles while leaving less sought-after positions unfilled.