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Agentic AI, the class of systems that can plan and execute multi-step tasks autonomously, is delivering measurable productivity gains across the enterprise, but almost nobody can show the board a number. Accenture’s latest Pulse of Change survey of 6,000 respondents finds that over two-thirds of C-suite leaders say agentic AI has outperformed their productivity expectations, yet only 23% report sustained, board-level business value, down from 32% earlier this year. More investment is coming regardless: 82% of C-suite leaders plan to increase spending.
What this means for your business
The gap between “employees feel more productive” and “the P&L moved” is where most AI programs are currently living, and it’s not a technology problem. If your organization has deployed AI broadly across dozens of workflows without redesigning the work itself, you’re almost certainly in the 77% that can’t report a real outcome. The companies on the right side of that split aren’t necessarily spending more; they’re concentrating their bets on a small number of agentic use cases and running them all the way to a measurable result.
Accenture’s Muqsit Ashraf puts the failure pattern plainly: bolting AI onto existing processes makes old things slightly faster, and that’s not business transformation. The pattern repeats across every major technology cycle. Enterprises adopted enterprise resource planning software in the 1990s and saw the same split between firms that rewired their operations around it and firms that layered it on top of what they already did. The ones that rewired captured the productivity gains in margin; the ones that layered captured a slightly faster version of their old problems. Agentic AI is running the same script now.
There’s a compounding problem buried in the data: only about one in four top executives uses AI daily, which means the people setting AI strategy are largely non-users. That creates a credibility gap that runs downward through the org. A CHRO who doesn’t use the tools can’t credibly define what an AI-native role looks like. A CIO who doesn’t use them daily is flying blind on what friction looks like at the workflow level. If you’d revise your AI investment thesis after spending a month as a daily user of your own deployed tools, that’s your signal that the thesis was built on secondhand information.
Based on reporting from Agentic AI boosts productivity, but C-suite struggles to reap value, originally published 2026-08-04 16:34:00.
