Experis reveals only 9% report full AI integration
TL;DR
Experis published research on November 10 reporting that 66% of surveyed technology professionals said their organizations were increasing AI investment, while 9% reported full integration into operations and strategy. The findings draw on research involving 1,930 technology leaders across 12 countries.
About this summary
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
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Race to AGI Analysis
The gap between spending intentions and full integration is the useful signal in this survey. Experis reports increasing investment alongside limited organization-wide adoption, based on responses from technology leaders across 12 countries. Those figures describe respondents' assessments, not independently measured implementation quality or financial returns. They should therefore be read as evidence about perceived adoption barriers rather than a precise census of global enterprise AI. ([investor.manpowergroup.com](https://investor.manpowergroup.com/node/69256/pdf))
My assessment is that the findings help separate model progress from institutional readiness. Even if models become more capable, organizations still need to decide how work changes, who reviews outputs and where responsibility sits. The competitive implication is that deployment support and workflow design may matter as much as additional features for some buyers. For Race to AGI readers, this is a reminder that technical capability and economic diffusion follow different clocks. The survey does not move the AGI timeline, but it offers a useful question for evaluating companies: can they convert experimentation into repeatable operations? Evidence of sustained usage and measurable outcomes would be more persuasive than rising budgets alone.
