The Korean Educational Development Institute has declared: education in the AI era must shift from cultivating the ability to find correct answers to nurturing the ability to ask good questions. But reality is lagging behind. An $850M AI textbook project failed, and the paradigm shift has only just begun.
The OECD's Digital Education Outlook 2026 gives a clear but conditional answer: generative AI supports learning only when guided by sound pedagogical intent. Without it, AI improves task completion but not real skills.
The OECD's Digital Education Outlook 2026 revealed an uncomfortable truth: students using AI produced better assignments, but scored up to 17% lower on follow-up tests without AI. When a tool does the thinking, real learning disappears.
On 1 April 2026, the EU opened its 10th funding call under the Digital Europe Programme, directing β¬12.5 million to digital skills projects across member states. Yet the share of EU citizens with basic digital competence stands at just 56% β and at the current pace, only 59.8% will be reached by 2030, far short of the 80% target. Money is flowing, but the gap refuses to close.
The US Department of Education has reached consensus on its most sweeping higher education accountability reform in decades. Every college programme will now be evaluated against graduates' earnings data. Programmes that produce median earnings below the high school graduate wage could lose eligibility for federal student loans. At the same time, the same Department is investing $169 million in AI education. Cuts and investment are happening simultaneously β and the paradox reveals a great deal about where American higher education is heading.