Three years after the public release of mainstream LLMs, teachers report both productive AI uses and significant barriers to classroom adoption. Education Week’s webinar and survey show a shortage of professional development, unclear policies and teacher hesitancy—47% of teachers said AI will harm teaching in the next five years, while 43% saw benefit. District leaders cite the need for noncommercial, independent PD and clear governance. At the same time, commentators urge calmer assessment of AI’s impact. Analysts argue the current AI panic echoes prior technology hype cycles and that measurable productivity gains require structural changes in work and pedagogy—not just tool adoption. For higher‑ed leaders, the takeaway is to invest in role‑specific AI training, governance and pilot programs that measure downstream learning outcomes.
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