McKinsey Says Workers Feel More Productive. Only 37% See Profit. Feeling Busy Is Not EBIT.
McKinsey and Deloitte 2026 research confirms that individual AI productivity gains rarely translate into firm-level profit. Among organizations with over $1 billion in annual revenue, 40% reported scaling AI agents in at least one function, up from 27% a year earlier, while smaller organizations stayed flat at 22%. Deloitte's parallel research found companies split between surface-level AI use at 37%, process redesign at 30%, and deeper business model transformation at 34%.
This is a textbook demonstration of the productivity-profit gap. The mechanism is straightforward. If every firm adopts the same AI tools and gains the same efficiency, no one captures a competitive advantage. Profit follows process redesign and business model transformation, not tool deployment. The lesson is that AI adoption without structural change is theater.
McKinsey and Deloitte, as reported by MarketScale, drawing on 2026 survey data from organizations across revenue tiers, with large organizations showing accelerating AI agent scaling while smaller organizations remain stagnant.
- List three tasks where you use AI regularly. For each, write down whether the AI just speeds up the task or whether you also changed how you do the task because of the AI.
- For any task where you only got faster but did not change your approach, ask yourself what step you could eliminate entirely now that AI handles part of it.
- Redesign that one task by removing the obsolete step. That small exercise is the consumer version of what Deloitte calls process redesign, and it is where actual value appears.