OpenAI has recently shared its experience working with schools across Europe, the Middle East, and Africa, while also publishing related ThinkYoung research, in an effort to strengthen guidance on using AI in education. We note that the challenge for schools is shifting from whether AI tools are available to how they should be used properly: teachers need practical classroom methods, while students need to understand AI’s limitations rather than treating generative AI—AI that generates text, code, and other content from models—as answers that require no verification.
What this is
This installment focuses on OpenAI’s EMEA education partnerships, covering programs in Europe, the Middle East, and Africa. The work includes teacher support, AI literacy, and independent learning. The emphasis is not merely on providing chatbots, but also on classroom prompts, subject-specific applications, and assessment methods.
ThinkYoung’s research offers a real-world view of how students use AI. Taken together, the two workstreams show OpenAI moving education products beyond simple student question-answering tools and into teacher-centered instructional workflows: supporting lesson preparation, discussing rules for classroom use, and progressively helping students build independent judgment rather than depend on AI to complete their homework.
Industry view
We believe this direction is more valuable than simply expanding the number of student users. The long-term impact of AI in education depends on whether teachers are willing to adopt it, whether it aligns with curriculum goals, and whether schools can establish verification and accountability mechanisms. Without these conditions, adding accounts and tools will only create more confusion.
The risks are equally clear. Schools may reduce “AI literacy” to prompt-writing techniques, while students may substitute generated content for reading and thinking. More importantly, education data involves minors. Model training, recording classroom conversations, and sharing information with third parties all require clear rules on permissions, retention periods, and what parents and schools are informed about. We do not believe OpenAI’s cases prove that AI has already improved learning outcomes; they demonstrate an implementation path, not a definitive conclusion about educational results.
Impact on regular people
For enterprise IT: Businesses will be better placed to adopt the principle of “supporting users, not merely deploying tools,” providing employees with scenario-based training, usage guidelines, and human review mechanisms to reduce the risks that generated content poses once it enters business operations.
For individual careers: AI literacy is becoming a foundational skill rather than a bonus, but its value depends more on whether people can ask good questions, verify results, and explain their own judgment. Ways of working that only showcase generated output will increasingly offer little differentiation.
For the consumer market: AI products aimed at schools and families will increase, but competition will shift from the number of features toward age-appropriate design, privacy protection, and content credibility. Parents and teachers will care more about educational outcomes than novelty.