If AI were delivering even a fraction of what companies promised their boards, we would not be having this conversation. Yet study after study shows the same uncomfortable truth that most organizations are pouring millions into AI and getting little or nothing back.

In just a few years, AI has gone from experimental curiosity to corporate fixation. Nearly every senior leader now claims their AI investments are generating positive ROI. Confidence is sky-high. AI sits at the top of CEO agendas, even as governance, alignment, and execution continue to lag. The narrative of widespread success is compelling, but it is also fragile, because when you look past the rhetoric, the data tells a different story.

Deloitte's 2025 analysis reveals that only 6% of organizations see AI deliver ROI within a year, while most projects take two to four years to break even, if they ever do. That gap between expectation and reality is quickly becoming a career risk. Boards are no longer asking whether AI is strategic. They are asking why the returns are missing and who is accountable.

The problem is that AI works, but our approach doesn't. In most organizations, AI is treated as a centralized, technical initiative. It lives in IT. It is managed by a small group of specialists. It is rolled out through long, expensive programs designed to "transform the enterprise." Frontline employees, the people who actually sell, operate, analyze, and serve customers, are largely spectators. That approach almost guarantees disappointment.

I see another dynamic at play as well: anxiety. People are perfectly comfortable using........

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