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Agentic AI is exceeding expectations around productivity and satisfaction at work, according to data from Accenture's Pulse of Change report released last week, which surveyed 3,000 C-suite leaders and 3,000 non-C-suite employees. More than two-thirds of C-suite respondents said the effect of agentic AI has been greater than expected on employee productivity, and about the same number of employees said they're overall more satisfied with their jobs overall.
Though most companies are seeing some positive impact, fewer say they're seeing sustained business value — impact that can be reported to a company's board — from their AI investments. Just 23% of companies said they saw reportable business value in the July survey, down from 32% earlier this year.
The dip follows a theme executives are seeing in 2026, where companies are trying to apply the technology to as many places as possible, rather than in targeted ways, Muqsit Ashraf, industry and enterprise global lead at Accenture, told CIO Dive. "Companies have rolled out the tools and copilots, and that produces local productivity, but it doesn't produce enterprise-level PnL impact," he said.
Nearly every enterprise is using AI in some capacity, but only the organizations that redesign their work around it can recover the millions spent on the technology.
#dive #daily
Agentic AI is exceeding expectations around productivity and satisfaction at work, according to data from Accenture's Pulse of Change report released last week, which surveyed 3,000 C-suite leaders and 3,000 non-C-suite employees. More than two-thirds of C-suite respondents said the effect of agentic AI has been greater than expected on employee productivity, and about the same number of employees said they're overall more satisfied with their jobs overall.
Though most companies are seeing some positive impact, fewer say they're seeing sustained business value — impact that can be reported to a company's board — from their AI investments. Just 23% of companies said they saw reportable business value in the July survey, down from 32% earlier this year.
The dip follows a theme executives are seeing in 2026, where companies are trying to apply the technology to as many places as possible, rather than in targeted ways, Muqsit Ashraf, industry and enterprise global lead at Accenture, told CIO Dive. "Companies have rolled out the tools and copilots, and that produces local productivity, but it doesn't produce enterprise-level PnL impact," he said.
Nearly every enterprise is using AI in some capacity, but only the organizations that redesign their work around it can recover the millions spent on the technology.
#dive #daily
2 months ago
