AI Statistics for 2026: Adoption, Market Size, and Public Sentiment

Eighty-eight percent of organisations now use AI in at least one business function, up from 78% just a year earlier. But most are still in early stages — experimenting and piloting rather than scaling. That gap between adoption and impact defines where AI stands right now.

This page covers the key AI statistics across enterprise adoption, agentic AI, market investment, public opinion, workforce effects, and risk.

AI Adoption Statistics

AI usage has become nearly universal at the organisational level. McKinsey's 2025 global survey of nearly 2,000 respondents across 105 countries found that 88% of organisations regularly use AI in at least one business function. That's a 10-percentage-point jump from the previous year.

But here's the part that often gets glossed over: roughly two-thirds of those organisations haven't begun scaling AI across the enterprise. They're running pilots. They're experimenting. The tools are there — the transformation mostly isn't.

Larger companies are further ahead. Nearly half of respondents from organisations with more than $5 billion in revenue have reached the scaling phase, compared with 29% of those at companies under $100 million. Size buys resources, and resources buy speed.

The business functions most commonly using AI are IT, marketing and sales, and — increasingly — knowledge management, which has risen sharply as a deployment area thanks to use cases like internal search and research summarisation.

AI Market Size and Investment

The AI market has attracted enormous capital. While exact market size figures vary by source and definition, global AI spending across software, hardware, and services is widely estimated to be in the hundreds of billions of dollars annually, with projections pointing toward rapid continued growth through the decade.

What's clearer is how organisations are allocating budgets internally. Among AI high performers — the roughly 6% of companies seeing significant enterprise-level impact — more than one-third commit over 20% of their digital budgets to AI technologies. That level of investment is roughly three times what typical organisations allocate.

The investment pattern tells a story: companies that spend more on AI are also the ones more likely to have scaled it. About three-quarters of high performers say they've scaled or are scaling AI, compared with one-third of other organisations. Spending alone doesn't guarantee results, but underfunding almost certainly prevents them.

AI Agent Statistics

Agentic AI — systems capable of planning and executing multi-step workflows autonomously — is the newest frontier. It's early, but it's moving quickly.

Sixty-two percent of survey respondents say their organisations are at least experimenting with AI agents. Twenty-three percent report already scaling agentic systems somewhere in their enterprise. That said, most who are scaling agents are doing so in only one or two functions.

The functions where agents show up most are IT (service-desk management, automated troubleshooting) and knowledge management (deep research, document synthesis). By industry, technology, media and telecommunications, and healthcare lead in agent adoption.

In practice, AI agents are still rough around the edges. Most teams report that the planning and reasoning capabilities of current agents work well for structured tasks but break down with ambiguous or complex workflows. The gap between demo and production is real.

Public Opinion on AI

How Americans View AI

The American public remains cautious. In a June 2025 Pew Research Center survey, half of US adults said the increased use of AI in daily life makes them more concerned than excited. Only 10% said they're more excited than concerned. The remaining 38% felt equally both.

That concern has grown. In 2021, just 37% said they were more concerned than excited — now it's 50%. Interestingly, concern is lower in many of the 24 other countries Pew has polled on AI, suggesting the US public is unusually wary compared to the global average.

Where Americans see promise: medical care. Forty-four percent expect AI to have a positive impact on healthcare over the next 20 years. Where they don't: education (24% positive) and jobs (23% positive). The public's instinct seems to be that AI is good when it helps experts do their work, and worrying when it replaces human judgment in areas they care about personally.

AI Usage Among Consumers and Teens

Despite the caution, usage is growing fast. Thirty-one percent of Americans interact with AI at least several times a day, up from 22% in early 2024. Nearly half of adults under 50 say they use AI about once a day or more.

Among teens, adoption is even higher. Sixty-four percent of US teens ages 13 to 17 say they've used an AI chatbot. The top reasons: searching for information and getting help with schoolwork. One-in-ten teens report using a chatbot to help with all or most of their schoolwork.

About six-in-ten say students at their school use chatbots to cheat at least somewhat often.

In the workforce, 21% of US workers say at least some of their work involves AI — up from 16% in 2024. Among employed 18-to-29-year-olds, 38% have used ChatGPT at work. That drops to 18% for workers 50 and older.

AI and the Workforce

The workforce conversation around AI is complicated, and the data reflects that. In McKinsey's 2025 survey, respondents split three ways on how AI will affect their organisation's total headcount in the coming year: 32% expect decreases of 3% or more, 43% expect no meaningful change, and 13% expect increases.

That's a strikingly even distribution. Nobody really knows yet.What's clearer is where AI is already delivering measurable value. Cost savings are most commonly reported in software engineering, manufacturing, and IT. Revenue increases show up most in marketing and sales, strategy and corporate finance, and product development.

The pattern makes sense — AI is good at automating repetitive technical work (cost savings) and enhancing creative and analytical work (revenue upside).

The most in-demand AI-related roles are software engineers and data engineers. Most organisations — especially larger ones — report hiring for AI-related positions over the past year, even as some simultaneously expect overall workforce reductions. They're not contradictory moves: companies are shrinking in some areas while growing in others.

AI Risk and Regulation Statistics

Fifty-one percent of organisations using AI have experienced at least one negative consequence. The most common: AI inaccuracy, reported by nearly one-third of all respondents. Explainability — the inability to understand why an AI system made a particular decision — is the second-most commonly reported risk, but one of the least commonly mitigated. That gap is worth watching.

Organisations are getting better at risk management, though. The average number of AI-related risks being actively mitigated has grown from two in 2022 to four in 2025. High performers tend to experience more risks (because they deploy more use cases) but also mitigate more proactively.

On the regulatory front, US public opinion is divided. Forty-four percent of Americans have a lot or some trust in the country's ability to regulate AI well. Forty-seven percent don't. There's a notable partisan split: 54% of Republicans trust the US to regulate AI, compared with 36% of Democrats.

AI experts are considerably more optimistic than the general public. Fifty-six percent of AI experts believe AI will have a positive impact on the US over the next 20 years, versus just 17% of the general public. That's a massive perception gap — and one that likely shapes how policy debates unfold.

Conclusion

AI adoption is nearly universal, but meaningful enterprise impact remains rare — concentrated in about 6% of organisations. The public is cautious. The workforce picture is uncertain. And the gap between what AI can do in a demo and what it reliably does in production is still the defining challenge of this technology cycle.

Frequently Asked Questions

What percentage of companies use AI?

Eighty-eight percent of organisations use AI in at least one business function as of 2025. However, only about one-third have begun scaling AI beyond pilot projects.

How do Americans feel about AI?

Half of US adults say the increased use of AI makes them more concerned than excited. Only 10% are more excited than concerned, while 38% feel equally both.

How many people use AI daily?

About 31% of US adults interact with AI at least several times a day. Among adults under 50, roughly half use AI daily or more frequently.

Is AI replacing jobs?

Opinions are split. Thirty-two percent of survey respondents expect AI-related workforce decreases, while 43% expect no change. Only 3% of content marketing roles were directly replaced by AI, suggesting displacement is slower than feared.