As boards and executives mandate using AI to make their businesses more efficient and competitive, many have yet to fully integrate it into their own workdays
That's how I put it in a recent conversation with The New York Times — and it captures something I deeply believe … Forums: r/business : C.E.O.s Want Their Companies to Adopt A.I. But Do They Get It Themselves?
Context & Ripple Effects
Executive pressure to automate is not new: World Economic Forum leaders were already racing toward automation to preserve competitive position, often with worker effects unresolved. The current gap is that AI directives may be moving faster than senior leaders' own operating habits.
That matters because the surrounding coverage frames adoption as more than software rollout. Evidence that adoption has outpaced demonstrated productivity gains, alongside a later emphasis on trust and accountability in white-collar AI use, makes executive participation a test of whether mandates translate into workable practice.
First-order effects
- Boards and executives pressing AI adoption without using it deeply themselves create an immediate credibility and feedback gap: employees must operationalize tools that senior sponsors may not experience firsthand.
- AI programs are more likely to be judged through broad efficiency and competitiveness goals rather than leaders' direct knowledge of day-to-day workflow, failure modes, and value.
Second-order effects
- Managers and AI vendors face greater pressure to demonstrate concrete workflow value, not merely deployment, as the gap reinforces the thin evidence of productivity gains despite rapid adoption.
- Organizations may shift attention from blanket mandates toward governed, task-specific implementations; trust as a differentiator in regulated and accountable work makes that especially consequential where errors carry higher stakes.
Third-order effects
- If executive use continues to lag employee mandates, AI strategy may increasingly be treated as an organizational-governance problem—covering incentives, accountability, and workflow redesign—rather than a procurement decision.
- The dividing line between companies could become the ability to turn executive sponsorship into credible operating practice, though this coverage does not establish which adoption model will prevail.
The trend: AI industrialization is shifting from top-down adoption mandates toward the harder work of embedding accountable AI use in everyday management and workflows.