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TL;DR
AI use is spreading, but surveys suggest only a small share of companies can link it to substantial profit gains. McKinsey reports 6% of respondents’ companies qualify as high performers, while BCG found 5% of surveyed firms were getting value at scale. The findings point to workflow redesign, data quality, skills and risk controls as barriers; they do not establish that AI caused every reported financial result.
Only a small share of companies report substantial profit gains from AI, even as adoption spreads, according to surveys and forecasts reviewed by ThorstenMeyerAI.com on November 6. McKinsey’s 2026 survey found that 6% of respondents’ companies met its definition of high performers, attributing at least 5% of earnings before interest and taxes (EBIT) to AI; BCG separately found that 5% of 1,250 surveyed firms were getting value from AI at scale.
The figures describe different surveys and definitions, not a single measure of corporate AI profitability. McKinsey surveyed 1,719 respondents; 37% said AI had some effect on their company’s EBIT, a share reported as roughly unchanged from a year earlier. The 6% high-performer figure refers to companies where respondents said AI accounted for at least 5% of EBIT. The findings were reported by The Register and TechTimes.
BCG’s survey of 1,250 companies found that 5% were getting value at scale, while 60% reported no material value. Its respondents said AI agents currently contributed about 17% of their AI value and expected that share to reach 29% by 2028. These are survey responses and expectations, not independently verified forecasts of future returns.
Adoption itself varies by company size and geography. Eurostat reported that 20.0% of EU enterprises with at least 10 employees used AI in 2025, up from 13.5% in 2024. In 2025, use was reported by 55% of large enterprises and 17% of small ones. The European figures measure reported use, not whether AI improved profits.
Infographic 01 · Who gets value from AI
Most companies use AI. About 6 percent profit from it in a big way
Adoption keeps rising. The share of companies that can show a large effect on profit has barely moved.
Share of McKinsey’s 2026 respondents who attribute at least 5 percent of their company’s EBIT to AI and call the impact significant. Flat versus 2025, as reported by The Register.
Wide use, thin profit
Different surveys, different bases: read each line with its source
Sources: McKinsey State of AI 2026 (n = 1,719), as reported by The Register, 25 Aug 2026 and TechTimes, 26 Aug 2026 · BCG, The Widening AI Value Gap, Sept 2025 (n = 1,250) · Eurostat, 11 Dec 2025 · Eurostat Statistics Explained (enterprises with 10+ employees). Survey figures are self-reported by executives; Eurostat counts use, not value.
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Profit Depends on Changing Workflows
The gap matters because buying or testing an AI tool is not the same as changing how work gets done. The source’s account of BCG’s survey says higher value comes from redesigning core workflows end to end, rather than adding isolated pilots. That can require changes to responsibilities, software connections and the way managers measure results—not simply access to a new model.
AI agents add a further management challenge. Unlike a system that only drafts a response, an agent may take steps across applications, such as classifying a case, checking records and sending an approved reply. Companies then need to define what an agent may do, when a person must review its work, and who owns the outcome. Poorly scoped permissions or weak oversight can expose organisations to operational and data risks.
The results also matter to employees. The source says 80% of McKinsey respondents who use AI reported productivity gains. At the same time, 39% expected job cuts, compared with 32% in the prior survey. Those expectations are not counts of actual layoffs; the source reports that cuts in the previous year fell short of what respondents had anticipated.
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Adoption Outpaces Measurable Returns
The figures come from sources with different methods and populations. Eurostat’s official statistics track AI use among EU enterprises with at least 10 employees. McKinsey and BCG report survey responses from business leaders and other respondents. Their measures of “value,” “impact” and “high performance” are not interchangeable, so the percentages should not be combined into a single estimate of the share of all companies making money from AI.
The source describes AI as a shift from digitising existing tasks to having software carry out parts of a process. Earlier digital systems typically stored information or moved it between screens while people interpreted cases and made decisions. AI systems can work with emails, invoices and support tickets, then retrieve information and take actions within set limits. The change is from automating a screen to reworking a workflow, with human review still needed for exceptions and consequential decisions.
Skills and data remain practical constraints. Among European firms that had considered AI but did not use it, 71% cited a lack of expertise, according to the source’s account of Eurostat data. Gartner forecasts that more than 40% of agentic AI projects will be cancelled by the end of 2027 because of cost, unclear value or weak risk controls. It also forecasts that organisations will abandon 60% of AI projects lacking AI-ready data. These are forecasts, not reported cancellation rates to date.
Survey Measures Are Not Profit Audits
The figures do not show that AI alone caused the reported financial effects. They are based on surveys and use different definitions, samples and time periods; the source does not provide the underlying survey questionnaires or company-level financial records. The 6% and 5% figures should not be treated as directly comparable, nor as a precise share of all businesses that make a profit from AI.
It is also unclear how much of the reported value is recurring, how it is distributed across industries, or what costs companies included when judging returns. A company may report productivity improvements without having translated them into higher EBIT. The Gartner cancellation figures are projections, and the expected rise in the contribution of agents to AI value by 2028 is a survey expectation rather than a guaranteed outcome.
Watch Deployment and Results
The next test is whether companies can move selected AI projects from pilots into routine operations and report measurable outcomes. The source says BCG survey respondents at leading companies had deployed 62% of their AI initiatives, compared with 12% among lagging firms. That difference is a survey finding; it does not by itself prove that deployment caused stronger results.
Companies and readers can watch for follow-up evidence on project costs, workflow changes, adoption and EBIT impact, alongside the projected cancellations of agentic projects through the end of 2027. More comparable, independently documented results would help establish which uses deliver durable value and which remain experiments. Until then, the available figures support a clear distinction: AI adoption is growing, but reported financial returns remain concentrated in a small minority of surveyed companies.
Key Questions
How many companies report substantial AI profit gains?
In McKinsey’s 2026 survey, 6% of respondents’ companies met its high-performer definition: at least 5% of EBIT attributed to AI. BCG separately found that 5% of 1,250 surveyed firms got value at scale. The measures differ and do not represent a single universal rate.
Does the survey prove AI caused the reported profits?
No. The figures are survey responses, and the supplied source does not present company-level financial audits establishing that AI caused the reported impact. The results indicate what respondents said about AI’s contribution.
Why do many AI projects fail to deliver value?
The source points to unclear business value, high costs, weak risk controls, poor data readiness and missing expertise. It also reports that BCG associated greater value with redesigning workflows, rather than relying on isolated pilots.
How widespread is AI use in Europe?
Eurostat reported that 20.0% of EU enterprises with at least 10 employees used AI in 2025, compared with 13.5% in 2024. Use was reported by 55% of large enterprises and 17% of small ones; those statistics measure adoption, not profitability.
What is the outlook for AI agents?
BCG respondents expected agents’ share of their AI value to rise from about 17% to 29% by 2028. Gartner, meanwhile, forecast that more than 40% of agentic AI projects could be cancelled by the end of 2027. Both are expectations, not confirmed future outcomes.
Source: ThorstenMeyerAI.com
