AI adoption has spread rapidly across industries, workplaces, schools, and everyday life. The short answer: nearly every sector is using AI in some form, but adoption is heaviest in knowledge-work industries like tech, finance, and professional services, and lightest in hands-on fields like construction and agriculture. Here’s a closer look at who is actually using AI right now and what they’re doing with it.
Industries Leading AI Adoption
Federal Reserve data tracking business adoption through year-end 2025 shows a clear pattern: industries built around information and analysis are adopting AI fastest. The top five industries by the share of firms using AI are:
- Information (media, publishing, telecom, software): 37 percent
- Professional, scientific, and technical services: 33 percent
- Finance and insurance: 30 percent
- Real estate and rental/leasing: 24 percent
- Wholesale trade: 13 percent
The concentration at the top tells a story. AI is most useful right now for cognitive and analytical work: writing, coding, data analysis, customer communications, financial modeling, and research. Industries where the core work involves processing information have found the most immediate applications. The steep drop-off after the top four suggests that industries centered on physical tasks or in-person services haven’t found as many practical uses yet.
Workers on the Job
Despite the headlines, workplace AI use is still far from universal. Gallup polling found that 12 percent of U.S. employees use AI daily, and 26 percent use it at least a few times a week. On the other end, nearly half of American workers (49 percent) say they never use AI in their role at all.
Employers are still catching up to the technology. Only 38 percent of employees said their organization has actively integrated AI tools to improve productivity, efficiency, or quality. Forty-one percent said their employer hasn’t implemented AI tools, and 21 percent simply don’t know whether their company has or not. That gap between individual experimentation and formal company rollout means many workers who do use AI are likely picking up tools on their own rather than through an employer-led program.
The workers most likely to use AI regularly tend to be in desk-based roles: marketing, software development, customer support, data analysis, and content creation. Workers in healthcare, retail, manufacturing, and food service are far less likely to interact with AI tools directly, though AI may be running behind the scenes in scheduling systems, inventory management, or diagnostics.
Students and Teachers
Schools have become one of the fastest-growing areas of AI use. A RAND Corporation survey found that in 2025, 54 percent of students and 53 percent of English language arts, math, and science teachers reported using AI for school. Usage increases with grade level: more high school students use AI than middle schoolers, and more middle and high school teachers use it than elementary teachers. Still, almost half of elementary school teachers are at least experimenting with AI in their professional work.
Among teenagers specifically, Pew Research Center data shows that a majority of U.S. teens use AI chatbots, with roughly three in ten using them daily. The most common uses are searching for information (57 percent), getting help with schoolwork (54 percent), and entertainment (47 percent). About four in ten teens use chatbots to summarize articles, books, or videos, or to create and edit images and video. One in ten teens say they complete all or most of their schoolwork with chatbot assistance, while another 44 percent use them for at least some of it.
Teens are generally comfortable with the technology. More than nine in ten have heard of AI chatbots, and about a quarter say they’re extremely or very confident using them. Only about one in ten report having little to no confidence.
The Federal Government
Government agencies have ramped up AI use significantly. Across 11 major federal agencies reviewed by the Government Accountability Office, the total number of reported AI use cases nearly doubled from 571 in 2023 to 1,110 in 2024. Generative AI use cases (tools that create text, images, or summaries) grew roughly ninefold in the same period, jumping from 32 to 282.
Specific examples give a sense of what this looks like in practice. The Department of Veterans Affairs launched an effort to automate medical imaging processes to improve diagnostic services for veterans. The Department of Health and Human Services built an AI system to extract information from scientific publications and identify potential poliovirus outbreaks in areas previously considered polio-free. These are tasks that would require enormous human labor to do manually, reading thousands of documents or analyzing thousands of medical scans, making them natural fits for AI.
Everyday Consumers
Beyond the workplace and the classroom, millions of people use AI in their personal lives, sometimes without realizing it. Voice assistants, email spam filters, navigation apps that predict traffic, and streaming service recommendations all run on AI. But the more visible wave of consumer adoption involves chatbots like ChatGPT, Google Gemini, and Microsoft Copilot, where people actively type prompts and get responses.
Younger users are driving this trend. Teens and young adults are the most frequent users of AI chatbots for personal tasks: researching topics, generating ideas, editing photos and videos, and even seeking emotional support (12 percent of teens report using chatbots this way). Older adults are adopting AI tools more slowly, though usage is climbing across all age groups as chatbots become embedded in search engines, email platforms, and smartphones.
Where Adoption Is Still Low
For all the momentum, large portions of the economy and population remain largely untouched by AI. Industries like construction, agriculture, mining, and hospitality show adoption rates well below the top sectors. Small businesses with fewer resources to experiment are slower to adopt than large corporations. And nearly half of U.S. workers still report zero AI use in their jobs.
The pattern is consistent: AI adoption is highest where the work involves language, data, and analysis, and lowest where the work is physical, relationship-driven, or happens in settings without reliable internet access. That gap is narrowing as AI tools become cheaper, simpler, and more widely available, but for now, adoption remains concentrated among knowledge workers, students, and tech-forward organizations.