Who Uses AI the Most? Countries, Industries, Jobs and Age Groups (2026 Data)

The heaviest AI users in 2026 are: wealthier, highly digital countries (the UAE and Singapore lead Microsoft's adoption rankings), knowledge workers (especially software developers, data professionals, marketers and other computer- and maths-related occupations), large organisations more than small ones, and younger, highly educated adults more than older groups. By task, the single biggest use of AI tools is still coding, followed by writing, research, analysis and learning.

"Who uses AI the most?" sounds like a simple question, but the answer depends on how you measure it: by country, by share of the population, by industry, by job, or by how intensively people use it. This guide pulls together the most reliable 2026 data from Microsoft's AI Diffusion reports, Anthropic's Economic Index, Stack Overflow, Clio, McKinsey and others, explains what each measures, and draws out what it means for businesses and workers.

By country: who's adopting AI fastest?

Microsoft AI Diffusion Report (2026)

Microsoft tracks the share of the working-age population using generative AI tools in each economy, based on aggregated, anonymised telemetry adjusted for device market share and internet access.

• Global adoption: about 18.8% of the working-age population used AI in mid-2026, up from roughly 16% at the end of 2025.
• Leaders: the UAE (73.3%) and Singapore (64.3%) top the rankings, followed by highly digital economies, including several in Europe such as Ireland, Norway and Switzerland.
• The United States: despite leading the world in AI development, the US ranked around 21st in adoption (about a third of working-age people).
• The gap is widening: adoption is growing faster in high-income economies, and dozens of economies are above 30%, while many lower-income countries remain in single digits.

Anthropic Economic Index

Anthropic measures how Claude is used across countries relative to working-age population (its "AI Usage Index").

• Per-capita usage correlates strongly with GDP per capita.
• Countries with high per-capita usage include Singapore, Israel, Luxembourg, Switzerland, the US, Canada and Australia.
• How people use AI differs by country: in lower-income countries, a higher share of use is for coursework and learning; in higher-income countries, more is for work and personal tasks.
• Usage is becoming slightly more concentrated among the top countries over time.

Why these leaders? High internet and smartphone penetration, digital-first governments and workforces, strong English proficiency or good local-language AI support, national AI strategies, high incomes and large knowledge-work sectors.

By industry: which sectors use AI the most?

Across surveys, the industries with the highest adoption are:

1. Technology and software: AI coding tools are near-universal among developers.
2. Financial services: fraud detection, customer service, document processing, research. (See Banking and financial process automation.)
3. Professional services: consulting, legal, accounting. Clio found 79% of legal professionals use AI in some form. (See AI for lawyers.)
4. Marketing, media and advertising: content, creative, analytics. (See How to use AI in marketing.)
5. Telecoms and retail/e-commerce: customer service, personalisation, recommendations.
6. Healthcare: rapid growth in administrative AI and ambient documentation. Around three-quarters of US health systems had at least one AI solution deployed in 2026. (See Automation in healthcare.)

Industries with lower adoption include construction, agriculture, hospitality and many public services, often due to less desk-based work, data challenges or tighter budgets.

McKinsey's 2025 State of AI survey found most organisations use AI in at least one function, and 62% were at least experimenting with AI agents, but only about a quarter were scaling agents, and only a small minority (about 6%) were "high performers" seeing significant bottom-line impact.

By job: which occupations use AI the most?

Software developers

The heaviest users by far. Stack Overflow's 2025 survey found 84% of developers use or plan to use AI tools, and coding is the largest single category of usage in Anthropic's data. (See Will AI replace software engineers?)

Other high-usage occupations

• Data scientists and analysts: coding, analysis, visualisation
• Marketers and content creators: drafting, ideation, repurposing
• Writers, editors and translators
• Researchers and academics: literature review, analysis, writing
• Teachers and educators: lesson planning, materials, feedback
• Lawyers and paralegals: drafting, summarising, research
• Customer service professionals: agent-assist and AI-handled queries
• Managers and executives: emails, reports, summaries, strategy drafts
• Students: studying, writing, coding and research

Anthropic's research shows US states with more computer and mathematical workers have higher per-capita usage, and that usage is slowly diversifying into a wider range of occupations and tasks.

Lower-usage occupations

Hands-on, physical and in-person roles (trades, manufacturing, care work, hospitality, transport) use generative AI less directly, though AI increasingly affects them through scheduling, diagnostics, field service and robotics. (See Automation and robotics.)

By age, education and income

Consistent patterns across national surveys (such as Pew Research in the US and similar studies elsewhere):

• Younger adults (under 30) are the most likely to have used AI chatbots, with usage declining with age.
• Higher education and income correlate with higher usage.
• Students are among the heaviest users for learning and assignments, raising questions about how AI affects learning. (See How AI impacts skill formation.)
• Gender gaps have been reported in several studies, with men somewhat more likely to use generative AI at work, though the gap appears to be narrowing.

What do people use AI for the most?

Across usage studies, the most common uses are:

1. Coding and software development
2. Writing and editing (emails, documents, content)
3. Information seeking and research
4. Learning and tutoring
5. Analysis (data, documents, decisions)
6. Creative work and brainstorming
7. Practical advice and personal tasks
8. Increasingly, delegated tasks: AI agents completing multi-step work

Anthropic's data also shows a shift over time from augmentation (AI helping a person) toward more automation (AI completing tasks with less involvement), particularly through the API and coding agents.

By organisation size

Large enterprises generally lead adoption (more resources, data and AI teams), but small businesses are adopting quickly because AI tools are cheap and easy to start with. The gap is less about access and more about turning use into value: integrating AI into workflows rather than ad-hoc chat. (See How to automate tasks with AI.)

What this means for businesses and workers

• AI literacy is becoming a baseline skill, like spreadsheets once were.
• The productivity gap between heavy and light users is growing. Anthropic's data suggests experienced users get better results.
• Competitive pressure is real: competitors, customers and candidates are already using AI.
• Usage isn't value. Most organisations use AI; far fewer have redesigned workflows to capture value. That's where the opportunity is. (See How to build an automation strategy.)
• Inclusion matters: organisations should make sure AI benefits aren't limited to already-advantaged groups of employees.

A note on the data

Each source measures something different: Microsoft measures the share of the population using AI (based on device telemetry), Anthropic measures Claude usage patterns, developer surveys measure self-reported use, and corporate surveys measure organisational adoption. Rankings change quarterly. Treat specific numbers as snapshots and focus on the consistent patterns.

Frequently asked questions

Which country uses AI the most?

By share of working-age population using AI, Microsoft's 2026 data ranks the United Arab Emirates first (about 73%) and Singapore second (about 64%), with highly digital European economies also near the top. The US leads in AI development but ranked around 21st in adoption.

Which profession uses AI the most?

Software developers are the heaviest users, with over 80% using or planning to use AI tools and coding being the largest category of AI usage. Data scientists, marketers, writers, researchers, educators and lawyers are also heavy users.

Which industry uses AI the most?

Technology and software lead, followed by financial services, professional services, marketing and media, telecoms and retail. Healthcare is one of the fastest-growing adopters, particularly for administrative tasks.

What age group uses AI the most?

Younger adults, especially those under 30 and students, are the most likely to use AI tools, with usage declining in older age groups.

What percentage of people use AI?

Microsoft estimated that about 18.8% of the world's working-age population used generative AI tools in mid-2026, with adoption above 60% in the leading countries and much lower in many low-income economies.

What do people use AI for the most?

Coding, writing and editing, research and information seeking, learning, analysis, brainstorming and creative work, and increasingly delegating multi-step tasks to AI agents.