Culture is where AI strategy goes to die. Here’s how to jump-start an AI-ready culture in 90 days

AI is transforming the world of work—and many people are unhappy about that fact. KPMG’s 2025 American Worker Survey found that 52% of workers worry that AI will take their jobs, with that figure rising to 60% for Gen Z. A recent report by the AI firm Writer found that almost a third of employees report sabotaging their company’s efforts towards AI transformation. There are few, if any, parallels for this level of resistance to the adoption of a technology in the modern workplace. Yet most businesses that fail to adapt to the emergence of AI will soon find themselves out of business altogether. In early 2023, Eric Vaughan, CEO of the enterprise software company IgniteTech, decided that generative AI was an existential threat and that his entire organization needed to transform or it would die. He dedicated 20% of payroll to AI training, reimbursed employees for tools they purchased themselves, brought in outside experts, and instituted “AI Mondays”—a mandate that every employee, across every function, should spend one full day per week working exclusively on AI projects. The result was resistance rather than radical adoption. People refused to use the new tech, skipped out on training sessions, and even deliberately sabotaged the company’s AI transformation efforts. Vaughan’s response was to largely abandon the idea of transforming the existing workforce. It turned out that “changing minds was harder than adding skills,” so Vaughn began a program aimed at building a new workforce that was more amenable to AI. Within a year, IgniteTech had replaced nearly 80% of its staff. On one level, this scorched-earth policy seems to have worked. IgniteTech has since developed new products, completed a major acquisition, and posted operating margins that are rare in the software industry. Vaughan has said he would do it all again. But consider what success required. Vaughan’s inability to successfully deliver a cultural transformation to match the technological one meant he was