AI fluency is your top hiring requirement. So, why are bad hires still happening?

The pressure on American companies to demonstrate AI capability has never been more intense. Boards are asking how their organizations are using AI. Investors want to know which teams are AI-enabled. CEOs are leading with it publicly: in earnings calls, at industry events, in the language they use to describe what makes their workforce competitive. Scroll through LinkedIn on any given morning and you can see it reflected back: organizations announcing AI-ready teams, AI-upskilled workforces, commitments to AI fluency as a defining capability.

The urgency behind all of that is legitimate. According to McKinsey’s 2025 State of AI report, nearly nine in 10 organizations now regularly use AI in their operations. The companies that cannot staff for that reality face a competitive disadvantage that builds quietly over time. When that pressure reaches the hiring function, the response is predictable: AI fluency becomes a formal requirement. Ninety-five percent of U.S. organizations have made it one, according to TestGorilla’s State of Hiring for AI Fluency 2026, a survey of 1,928 U.S. and U.K. hiring leaders.

Yet 59% of them still made a bad AI hire last year. READ MORE