Student use of generative AI for assessments jumped from 53% in 2024 to 88% in 2025, the steepest single-year rise yet recorded in any UK higher education survey. This post covers the human impact of AI on education statistics across classrooms, the skills gap, and corporate learning, with verified data from 2025 and 2026.
Human Impact of AI on Education Statistics – TL;DR
- 92% of UK undergraduates used AI tools in 2025, up from 66% a year earlier, based on the HEPI and Kortext survey.
- Teacher AI adoption climbed from 32% in 2024 to 61% in 2025, a 29-point jump, per textero.io research.
- A Harvard randomized trial found AI tutoring outperformed in-class active learning, with effect sizes of 0.73 to 1.3 standard deviations.
- Over 90% of global enterprises face critical skills shortages by 2026, risking $5.5 trillion in losses, according to IDC.
- 95% of US college faculty fear student overreliance on AI and weaker critical thinking, per an AAC&U survey.
AI is now embedded in how students study, how teachers plan, and how companies train staff. The figures below show where adoption stands, what it does to learning outcomes, and where the human cost shows up.
How Many Students Use AI in Education?
Student adoption reached near-universal levels in 2025. A HEPI and Kortext survey of UK undergraduates found 92% used AI tools, up from 66% the year before. The Digital Education Council reported 86% of students globally use AI in their studies, with 54% using it weekly.
| Metric | 2024 | 2025 |
|---|---|---|
| UK undergraduates using AI | 66% | 92% |
| Students using GenAI for assessments | 53% | 88% |
| US K-12 students using AI for schoolwork | – | 54% |
Source: HEPI and Kortext, RAND, Digital Education Council
RAND reported in September 2025 that 54% of US K-12 students use AI for schoolwork. Among adults aged 18 to 24, AI tool use is heaviest, mirroring the high engagement seen on language learning apps in the same age band.
How Many Teachers Use AI?
Teacher adoption nearly doubled in a year. Usage rose from 32% in 2024 to 61% in 2025. About 83% of K-12 teachers reported using generative AI tools for personal or school work during the 2023-2024 academic year.
Teachers apply AI mostly to lesson work. Brainstorming lesson ideas leads at 31%, followed by creating or updating lesson plans at 29%. ChatGPT tops tool recommendations at 47%, nearly double Google Lens at 24%.
| Teacher AI Use Case | Share |
|---|---|
| Brainstorming lesson ideas | 31% |
| Creating or updating lesson plans | 29% |
| Curriculum and content development (grades 6-12) | 69% |
| Recommend ChatGPT as a tool | 47% |
Source: textero.io, Center for Democracy and Technology, NEA
Less experienced teachers adopt AI faster than those with more than 10 years in the classroom. Still, 71% of US K-12 teachers lack formal training on AI, and only about a quarter have any training on AI chatbots.
Does AI Improve Learning Outcomes?
The strongest evidence comes from a Harvard randomized controlled trial published in Scientific Reports in June 2025. Students using a purpose-built AI tutor learned more in less time than peers in active-learning classes, with effect sizes between 0.73 and 1.3 standard deviations.
Carnegie Mellon researchers tracked more than 350 seventh-graders who received human-AI tutoring against nearly 320 who got AI-only tutoring. Gains rose with time on task when a human tutor supervised the AI.
| Study | Finding | Year |
|---|---|---|
| Harvard RCT (Kestin et al.) | 0.73-1.3 SD gain over active learning | 2025 |
| Stanford Tutor CoPilot | +4 points topic mastery; up to +9 for weaker tutors | 2024 |
| Carnegie Mellon human-AI tutoring | Gains increase with time on task | 2025 |
Source: Scientific Reports, Stanford, Carnegie Mellon University
Outcomes depend on design. The Stanford Tutor CoPilot trial found students were 4 percentage points more likely to reach topic mastery, with the largest gains, up to 9 points, among those paired with less-experienced tutors. Tools used well help; tools used poorly do not.
What Is the Human Cost of AI in Education?
Adoption brings concern. An AAC&U national survey from January 2026 found 95% of US college faculty fear student overreliance on AI and diminished critical thinking. Among educators, 72% name plagiarism and cheating as their main worry.
Demand for guardrails is wide. 93% of educators say AI use needs regulations. Gartner predicts that by 2026, half of organizations will require AI-free skills assessments to counter critical-thinking atrophy.
| Concern | Share |
|---|---|
| Faculty fearing overreliance and weaker critical thinking | 95% |
| Educators calling for AI regulations | 93% |
| Educators citing plagiarism and cheating as top concern | 72% |
| K-12 teachers lacking formal AI training | 71% |
Source: AAC&U, ElectroIQ, Gartner
AI Skills Gap and Workforce Statistics
The skills gap is the clearest human impact beyond the classroom. IDC projects over 90% of global enterprises will face critical skills shortages by 2026, with sustained gaps risking $5.5 trillion in losses. In 2026, 59% of leaders report an AI skills gap and 60% report a data skills gap.
Training access is not the problem. Only a third of employees received any AI training in the past year, and just 35% of leaders run a mature, organization-wide upskilling program. PwC’s 2025 AI Jobs Barometer found AI-exposed roles evolving 66% faster than others.
| Workforce Metric | Figure |
|---|---|
| Enterprises facing skills shortages by 2026 | 90%+ |
| Potential global losses from skills gaps | $5.5T |
| Leaders reporting an AI skills gap (2026) | 59% |
| Employees who received AI training last year | ~33% |
| Open AI roles globally vs qualified candidates | 1.6M vs 518K |
Source: IDC, DataCamp 2026 State of Data & AI Literacy Report, PwC
Demand outstrips supply by 3.2 to 1 worldwide. AI roles command 67% higher salaries than traditional software positions. Women hold 28% of AI jobs despite making up 51% of the general workforce.
AI Skills Gap by Region
Asia-Pacific faces the tightest squeeze at a 1-to-3.6 supply ratio. North America pays the most, averaging $285K for AI roles. Financial services and healthcare report 6-to-7-month time-to-fill for AI positions.
How Is AI Changing Learning and Development?
Corporate training is being rebuilt, not just upgraded. The Josh Bersin Company reported in February 2026 that AI is disrupting the $400 billion corporate training market. Despite that spend, 74% of senior leaders say their companies lack the skills to compete.
The shift favors AI-native systems. Companies using dynamic AI-delivered training are 6 times more likely to exceed financial targets and 28 times more likely to unlock employee potential. Fewer than 5% have deployed AI-native learning technology so far.
| L&D Metric | Figure |
|---|---|
| Corporate training market size | $400B |
| Leaders saying staff lack competitive skills | 74% |
| Firms with AI-native learning deployed | under 5% |
| Higher-ed staff expecting to expand AI use | 93% |
Source: The Josh Bersin Company, Ellucian
Gartner projects 80% of the engineering workforce will need upskilling by 2027. Structured programs see 3 to 4 times higher adoption than self-directed learning, a pattern echoed across online education market data where corporate e-learning reached $104.32 billion in 2024.
FAQ
How many students use AI in education?
92% of UK undergraduates used AI tools in 2025, up from 66% in 2024. Globally, 86% of students use AI in their studies, and 54% of US K-12 students use it for schoolwork, per RAND.
How many teachers use AI?
Teacher AI adoption rose from 32% in 2024 to 61% in 2025. About 83% of K-12 teachers reported using generative AI for personal or school-related work during the 2023-2024 school year.
Does AI improve student learning outcomes?
A 2025 Harvard randomized trial found AI tutoring outperformed in-class active learning, with effect sizes of 0.73 to 1.3 standard deviations. Gains depend on tool design and human supervision.
How big is the AI skills gap?
Over 90% of global enterprises face critical skills shortages by 2026, risking $5.5 trillion in losses, per IDC. In 2026, 59% of leaders report an AI skills gap.
What are the main concerns about AI in education?
95% of US college faculty fear overreliance and weaker critical thinking. Among educators, 72% cite plagiarism and cheating, and 93% say AI use in schools needs regulation.
References
https://www.hepi.ac.uk/2025/02/26/student-generative-ai-survey-2025/ https://www.nature.com/articles/s41598-025-97652-6 https://joshbersin.com/2026/02/new-research-how-ai-transforms-400-billion-of-corporate-learning/ https://www.datacamp.com/blog/the-state-of-data-and-ai-literacy-in-2026-definitions-statistics-and-the-ai-skills-gap
