Artificial intelligence has become a fixture of student life on campuses around the world, according to a new AI in higher education survey 2026 from the Digital Education Council. The report found that 88 percent of students now use AI in their learning, while 77 percent of faculty use it in their teaching, a jump of 16 percentage points from 2025 for both groups. The findings are based on 45,398 responses from 27,284 students and 18,114 faculty across 35 countries, making it one of the largest datasets ever collected on AI adoption in higher education, according to the Digital Education Council.
The headline numbers suggest AI has moved from a novelty to a near universal classroom tool. But the report’s authors say that speed of adoption has outpaced how well institutions are managing it.
Adoption Up, Guidance Still Missing
Despite near universal use, students say they are often left to figure things out on their own. According to EdTech Innovation Hub’s coverage of the report, 57 percent of students say their assessments come with inadequate AI guidance, and only 29 percent believe their instructors are properly equipped to guide them on AI use. Just 31 percent of faculty agree that their institution involves them meaningfully in shaping AI policy.
Alessandro Di Lullo, chief executive officer, and Daniel A. Bielik, president of the Digital Education Council, wrote in the report that AI has moved into the mainstream of student and faculty life faster than institutions have been able to respond to it, and that adoption is now widespread even though coherent practice is not.
The disconnect extends to training as well. Sixty-four percent of faculty say they have taken part in AI literacy training, yet fewer than three in ten students feel that training has translated into better guidance in the classroom.
What the AI in Higher Education Survey 2026 Reveals About Faculty Confidence
The most striking regional finding involves North America. Faculty intent to keep using AI in the US and Canada dropped nine percentage points, from 76 percent in 2025 to 67 percent in 2026, according to DEC’s own survey findings. That makes the US and Canada the only region in the study where faculty enthusiasm for AI is declining rather than growing, and leaves the region with the lowest future AI adoption intent among all regions surveyed.
At the same time, many faculty in the region appear unconcerned about their own teaching becoming outdated. Globally, 43 percent of faculty say they are not worried that what they teach will become outdated by the time students graduate. In the US and Canada, that figure rises to 58 percent, even though this is the same region where student confidence in their own programs is lowest, according to reporting from The Unemployed Professors Blog.
Students Have Doubts of Their Own
Students in the survey were far less confident about whether their education is keeping pace with AI’s rapid development. Thirty seven percent of students worldwide said they have serious doubts about whether their program remains relevant for an AI-driven future, and only 30 percent agreed that their program feels current. In the US and Canada specifically, that confidence figure drops to just 19 percent, according to the Digital Education Council.
Concerns about fairness are also widespread. Sixty percent of students globally worry that classmates might misuse AI for an unfair advantage, a number that climbs to 73 percent among students in the US and Canada, according to The College Fix.
The report also points to early signs of overreliance on the technology. Twenty two percent of students said working without AI now feels harder, 20 percent said they depend on it to produce better work, and 19 percent said they retain less information as a result of using it so often.
Employers Are Watching Too
The report also draws on the Digital Education Council’s 2025 AI in the Workplace Report, which found that 80 percent of employers believe higher education is not keeping up with the pace of change in industry. That figure adds weight to student concerns, suggesting that the gap students perceive between their coursework and real world AI use is shared by the people who will eventually hire them.
A Widening Gap Between Use and Readiness
Taken together, the AI in higher education survey 2026 describes a sector where AI use has become routine but institutional response has not caught up. Students are adopting the technology on their own terms, often without clear rules or support. Faculty usage is rising too, yet in the US and Canada specifically, enthusiasm for continuing that trajectory is cooling even as many instructors remain confident their teaching will hold up over time.
For colleges and universities, the survey points to a widening gap between how quickly AI is being adopted and how prepared institutions are to guide that adoption. Closing it may depend less on introducing new AI tools and more on building the policies, training, and assessment practices needed to support the people already using them.
