47%
47% of US employees said their organization had integrated AI tools in May 2026, up from 41% in February 2026.
A program of EffectiveSC
How We Use AISources checked October 24 to 28, 2026
Where things stand / Organizations
How organizations adopt AI, and whether they are getting a return on it.
Each source counts something different: employees saying their employer has brought AI in, businesses telling the Census Bureau they used it, and a payments company's customers paying for it.
47%
47% of US employees said their organization had integrated AI tools in May 2026, up from 41% in February 2026.
24.6%
24.6% of US businesses told the Census Bureau they had used AI in the past two weeks, in the survey period ending October 18, 2026, up from 17.3% in the period ending November 30, 2025; 28.6% expect to in the next six months.
55.9%
In September 2026, 55.9% of US businesses on Ramp paid for AI; 43.8% paid Anthropic and 40.6% paid OpenAI.
Disclosure: Ramp sells corporate cards and an AI token spend management product.
More people use AI where employers supply tools and training, where managers back it, and where it fits the systems people already use.
93%
In 11 AI-exposed Danish occupations, 41% of workers had used AI chatbots at work where employers did nothing (7% daily), against 93% where employers encouraged use, supplied an enterprise chatbot and trained staff (28% daily).
An association, not a measured effect.
78%
Where employers offer AI, 78% of employees who strongly agree their manager supports AI use it frequently, against 44% of the rest; Gallup's indicator page puts it as 1.7 times as likely.
88%
88% of employees who strongly agree AI integrates well with their existing systems use it frequently, against 55% of everyone else.
Who was asked: US employees (Gallup Panel)
Consultancies and vendors sort companies by how far along they are. The leaders are a small group, and they use AI more deeply, not just more often.
5%
BCG classes 5% of companies as future-built, 35% as scaling and 60% as laggards; future-built firms show 1.7x the revenue growth and 3.6x the three-year shareholder return of laggards.
The financial gaps are associations, not effects.
7x
Frontier firms send about 2x the median firm's messages per seat but 7x as many to GPTs; weekly users of Custom GPTs and Projects rose about 19x in 2025, and about 20% of Enterprise messages run through a Custom GPT or Project.
Disclosure: OpenAI's own usage data about its own product.
Most companies now use AI, but far fewer can point to a gain in profit. The evidence is what people inside companies report, not company accounts, and one widely quoted figure has no published method.
37%
In McKinsey's survey of May and June 2026, nearly 9 in 10 respondents (89%) reported regular AI use in at least one business function and 80% said AI had improved their own productivity, but only 37% said AI had contributed to their organization's EBIT, about the same as the 39% of 2025; about 6% are high performers, who attribute 5% or more of EBIT to AI and report significant value, and nearly three quarters of them redesigned workflows against about a quarter of other respondents.
Who was asked: 1,719 participants at all levels in 97 nations
Respondents at every level, from executives to individual contributors, reporting on their own organizations; not company accounts.
Disclosure: McKinsey sells consulting on AI.
83%
In mid-2026 surveys of nearly 9,000 executives in seven countries, 78% of firms used some AI (95% in the US), yet 83% reported no effect on labor productivity over the past three years.
The US share leaves out firms that skipped the question.
56%
56% of CEOs saw neither higher revenue nor lower costs from AI in the past 12 months, and 12% saw both.
Who was asked: 4,454 CEOs in 95 countries and territories
1.8%
CFOs said AI raised their firms' 2025 labor productivity 1.8% on average, but their own estimates of AI's effect on revenue and headcount imply 0.6%.
12%
Only 12% of large organizations consistently weigh AI value against cost; 49% have scaled back, delayed or paused AI-agent deployments because expected costs outweighed value.
MIT NANDA's preliminary 2025 report says “95% of organizations are getting zero return” on generative AI; the figure has no published method.
Widely quoted, but not evidence: the report publishes no method for it.
See also: What companies report
The AI at Work Benchmark isn't open yet. It will score an organization's practices and survey its people with an anonymous pulse, then set both against the published evidence.
The AI at Work Benchmark
Score your organization's practices, measure your people with an anonymous pulse, and see both against the published evidence.