Okay, the user is asking about the impact of AI on the education industry. This is a broad and complex topic, so I'll need to break it down systematically.
First, I recall that the search results provided several key perspectives from different time periods and sources. The 2024 report mentions AI helping break the "impossible triangle" of education - scalability, equity and personalization. That's a crucial framework to include.
The teacher role transformation keeps appearing across sources - from knowledge deliverer to facilitator. That's a fundamental shift worth highlighting. Also notable is how AI enables cross-disciplinary learning, like that Mars rover project in Wuhan.
Hmm, the user might be an educator or policymaker concerned about practical implementation challenges. The sources mention issues like teachers' AI literacy and potential over-reliance on technology. Should address those concerns too.
The ethical dimension is interesting - plagiarism detection difficulties with AI-generated content. That's a real pain point for teachers. And the Philippine reading program shows AI's potential in underserved areas.
For structure, I'll organize by: teaching transformation, learning experience, institutional impact, challenges. The Shanghai Jiao Tong case study with ORLM is perfect for showing industry-academia collaboration.
Need to balance optimism with realism - AI won't replace teachers but will demand new skills. The Stanford professor's point about compound talent development is key here.
The response should end by connecting back to education's core mission while embracing AI as a transformative tool. The Helsinki whole-city learning model is an inspiring vision for the future.