
A newly released research report finds that classroom AI adoption is accelerating far faster than teacher training can keep up, even as the global education-AI market is projected to grow sixfold — from roughly $6.9 billion in 2025 to over $41 billion by 2030.
According to the findings, 83% of K-12 teachers already use generative AI tools, but most are learning through trial and error rather than structured training. The gap is even wider in higher education, where only about 22% of faculty use AI regularly.
On the student side, adoption is running well ahead of educator comfort: roughly two-thirds of students use AI tools like ChatGPT for schoolwork, primarily for research and grammar assistance. The report also notes a striking regional divide in sentiment — while a large majority of respondents in China and Indonesia view AI as a positive force in education, that figure drops sharply in the United States and the Netherlands.
Researchers describe measurable learning gains alongside real concerns: personalized learning approaches reportedly improved by 54% and overall learning efficiency by 30% where AI was used effectively, but roughly a quarter of teachers still believe AI does more harm than good, with another third undecided.
The report frames closing the training gap as the central challenge for schools and universities heading into the rest of 2026.