Nearly nine in 10 organizations now use AI in at least one business function, but just 6% qualify as high performers seeing real financial returns, according to McKinsey & Company’s 2026 State of AI survey, released Aug. 25. The gap between adoption and payoff is widening even as companies keep increasing their AI investment.
Adoption keeps climbing, especially at large enterprises
According to the report, nearly nine in 10 organizations now use AI in at least one business function, and 44% say it has scaled across the enterprise, up from 38% a year ago. Larger companies are pulling further ahead, with the share of firms above $1 billion in revenue scaling AI agents jumping from 27% to 40% in a single year, while smaller companies stayed flat at 22%.
Employee-level gains are real. About 80% say AI has improved their productivity, and half say it helps them make better decisions. Yet those individual gains are not translating into company financials. Just 37% of respondents say AI has contributed positively to their organization’s EBIT, virtually unchanged from last year, and only about 6% qualify as true “high performers” who report significant, measurable value.
Costs are starting to bite, but investment keeps rising
The report also finds that AI operating costs, including token usage, are now constraining use at about one in five organizations. Even so, 60% expect to increase AI investment over the next year, and 28% already devote more than 10% of their tech budget to the technology.
“The organizations that translate individual productivity gains into lasting enterprise-level financial performance are likely to be those that transform their businesses, not just adopt AI tools,” McKinsey’s authors noted in the report.
What separates the 6% of high performers is not more AI, but a willingness to rebuild how work gets done. Nearly three-quarters of high performers report redesigning workflows around AI, compared with about a quarter of other companies, and they are 3.3 times more likely to plan a full business transformation within three years.
Where BPO fits in the 6% club
McKinsey’s high performers share one trait. They redesigned their workflows around AI instead of bolting it onto old processes. That is the kind of overhaul BPO and managed service providers are built to deliver.
Clients across healthcare, e-commerce, fintech, and telecom are buying AI tools faster than they can restructure the processes around them, which is why most fail to deliver real financial payoff.
Outsourcing partners that bring workflow redesign and measurement discipline are well positioned to close that gap, and demand should continue to shift toward this kind of transformation work rather than toward the AI tools themselves.
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McKinsey & Company. (2026, August 25). The state of AI in 2026: On the road to ROI. Retrieved from https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
Alexe, A. (2026, August 26). AI adoption accelerates among companies, but financial returns remain limited – McKinsey study. Business Review. Retrieved from https://business-review.eu/business/ai-adoption-accelerates-among-companies-but-financial-returns-remain-limited-mckinsey-study-299748
