🔍 Read the full analysis: Does AI Pay Off For Companies? Only About 6 Percent Profit on ThorstenMeyerAI.com
Get the latest gadgets delivered free with Prime
- Fast, free delivery on millions of items
- Prime Video, Amazon Music and more included
- Member-only deals all year
TL;DR
A McKinsey survey reported that 6% of respondents’ companies qualified as AI “high performers,” attributing at least 5% of EBIT to AI. Other findings point to a gap between adoption and measurable returns, while surveys and forecasts suggest workflow redesign, data readiness and governance are key challenges.
A McKinsey survey of 1,719 respondents found that only 6% of respondents’ companies qualified as AI “high performers,” meaning they attributed at least 5% of earnings before interest and taxes (EBIT) to AI, according to reports by The Register and TechTimes. The finding highlights a gap between companies’ expanding use of AI and the share reporting a substantial contribution to profit.
In the same survey, 37% of respondents said AI had some effect on their company’s EBIT, a share reported to be about the same as a year earlier. The 6% figure uses a narrower measure: it identifies companies meeting a threshold of at least 5% of EBIT attributed to AI. These are survey responses, not an independently audited tally of corporate earnings.
A separate Boston Consulting Group study of 1,250 companies found a similarly concentrated pattern: 5% said they were generating value from AI at scale, while 60% reported no material value. The figures come from different surveys and definitions, so they should not be treated as directly comparable or as one combined estimate.
Adoption is broader than high returns. Eurostat data cited in the source material show that 20.0% of EU enterprises with 10 or more employees used AI in 2025, up from 13.5% in 2024. Use was reported by 55% of large enterprises and 17% of small enterprises. These figures measure adoption, not the effect on profit.
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.
Powered by Thorsten Meyer AI
AI Adoption Outpaces Measured Returns
The survey gap matters because companies are spending on AI while still working out whether it improves their financial results. A tool may be in use without materially changing costs, revenue or productivity across the business. The reported 6% high-performer share is a reminder that adoption alone does not establish a return on investment.
The findings also suggest that the way companies introduce AI may affect its impact. BCG respondents said value was more likely to come from redesigning core workflows than from isolated pilots. The source material reports that BCG leaders had deployed 62% of their AI initiatives, compared with 12% among laggards; those figures describe deployment rates in that study, not proof that deployment alone caused higher returns.
For workers, the picture is mixed. The McKinsey survey, as reported by The Register and TechTimes, found that 80% of respondents who use AI said it made them more productive. At the same time, 39% expected job cuts, up from 32% in the prior survey. Those expectations are not evidence that cuts have occurred; the reports also say earlier job-cut expectations exceeded the cuts that followed.
Products Worth Considering
Logitech MX Keys Combo for Business Keyboard and Mouse – Graphite
Sonos Era 100 SL Compact Microphone-Free Speaker, Black
Jackery Solar Generator 1000 V2 with 200W Solar Panel, 1070Wh
As an affiliate, we earn on qualifying purchases.
From Digital Tools to AI Agents
The report frames AI as a change from digitising existing processes to having software handle parts of the work. Earlier systems often stored information and moved it between screens while people interpreted cases and made decisions. AI systems can process material such as emails, invoices and support tickets, retrieve information and take actions within set limits.
That shift makes the workflow, rather than the software tool alone, a focus of implementation. The source material cites BCG’s view that larger gains come from reshaping workflows end to end, and Gartner’s guidance to use agents for decisions, automation for routine tasks and assistants for simple information retrieval. These are recommendations and survey interpretations, not a guarantee that a redesigned process will be profitable.
AI agents are also moving into company plans, although measures vary. BCG respondents said agents accounted for about 17% of their AI value and expected that share to reach 29% by 2028. Among companies with revenue above $1 billion, 40% reportedly said they were scaling agents, up from 27%. These results are reported survey findings; the 2028 figure is an expectation, not an observed outcome.
“80% of respondents who use AI said it made them more productive.”
— McKinsey survey respondents, as reported by The Register and TechTimes
What the Survey Figures Cannot Show
The headline figures are survey results, not audited financial statements. The source material does not provide enough detail to determine how respondents calculated AI’s share of EBIT, how consistently companies applied that method, or whether the results represent all companies in each market. The 6% figure should therefore be read as the share meeting McKinsey’s reported survey definition, not as a definitive count of businesses with profitable AI.
The studies also use different samples and definitions of value. McKinsey’s 6% threshold, BCG’s measure of value at scale and Eurostat’s measure of AI adoption answer different questions. Their percentages cannot establish a single global rate of AI profitability. The material also does not give a common time period or baseline for every result.
Forecasts about agent projects and job effects remain uncertain. Gartner forecast that more than 40% of agentic AI projects could be cancelled by the end of 2027 because of costs, unclear value or weak risk controls, and that 60% of AI projects lacking AI-ready data would be abandoned. Those are forecasts, not completed cancellations. The available material does not identify which companies or projects will be affected.
Companies Face a Proof-of-Value Test
The next test for companies is whether AI initiatives produce measurable outcomes beyond adoption or employee perceptions. The surveys point toward tracking financial and operational results, choosing focused use cases and changing workflows where the business case is clear. Companies also need to set limits on what agents can do and assign people to review exceptions and take responsibility for outcomes.
Data and skills remain practical barriers. The source material says that among European firms that considered AI but did not use it, 71% named missing expertise as a reason. Gartner’s warnings about AI-ready data and project cancellations suggest that organisations may need to address data quality, costs and risk controls before expanding pilots. These findings do not establish that every company should follow the same implementation path.
Further evidence will depend on future survey results and companies’ reported financial performance. BCG respondents’ expectation that agents’ share of AI value will rise by 2028 is one forward-looking measure to watch, alongside whether companies can report sustained gains in EBIT. Until then, the available figures show a clear difference between using AI and demonstrating substantial profit impact.
Key Questions
What does the 6% figure mean?
It is the share of respondents’ companies classed as AI “high performers” in the reported McKinsey survey: they attributed at least 5% of EBIT to AI. It is a survey finding, not an audited count of all companies.
Does the survey say AI has no effect at most companies?
No. The same survey found that 37% of respondents said AI had some effect on their company’s EBIT. The 6% figure refers to the narrower group meeting the threshold of at least 5% of EBIT attributed to AI.
How common was AI use in the European Union?
Eurostat data cited in the source material say 20.0% of EU enterprises with 10 or more employees used AI in 2025, up from 13.5% in 2024. Adoption was reported by 55% of large firms and 17% of small firms.
Why do some AI projects fail to deliver value?
The cited studies and forecasts point to unclear business value, project costs, weak risk controls, limited expertise and data that is not ready for AI. Gartner’s projected cancellation rates are forecasts, not a record of projects already cancelled.
What should companies watch next?
Companies and readers can watch for reported financial results, evidence that AI changes whole workflows, and whether agent projects move beyond pilots. The current surveys do not establish that wider adoption will automatically produce higher profits.
Source: ThorstenMeyerAI.com
