Tech companies are once again positioning their tool as inevitable by offering to teach it for free. AI is the hot skill now, the narrative goes — students who don't learn it fall behind — and conveniently, the companies building AI are providing the curriculum, the lesson plans, the teacher training. It's a narrative that works because it's true enough: AI knowledge matters. But it's also a narrative that has worked before, predictably, at enormous cost to schools.
Promethean and SMART Board ran this exact playbook beginning in the early 2000s with interactive whiteboards. Free pilots. Teacher training grants. Lesson formats built around their hardware. The pitch was transformation; the result was institutional dependency. A decade later, when tablets commoditized the same functionality at a fraction of the cost, schools discovered they had invested in proprietary lesson architecture with no switching cost recovery. The boards themselves became expensive blackboards.
What's instructive is not that this happened, but that it's happening again. Natasha Singer, who has tracked tech adoption in education for the New York Times, has documented this 15-year cycle repeating through classroom computing, learning management systems, and now AI. Each wave arrives with identical logic: this is essential, this is where jobs are, we'll help you catch up. Each time, schools trade short-term capability for long-term institutional vulnerability.
The actual choice schools face is not between adoption and obsolescence. It's between institutional capacity and vendor capture. A school system with in-house curriculum expertise can evaluate AI tools critically, resist proprietary formats, and maintain bargaining power. A school that accepts free curriculum outsources that expertise to the company providing it. The difference compounds across years.
What matters for anyone thinking about institutional commitments is recognizing the structure before you're inside it. The offer of free resources is not philanthropic neutrality. It's the entry point of a known cycle. Schools that preserved their own curriculum capacity during the interactive whiteboard era still have it. Schools that didn't are now making identical decisions about AI, without the institutional muscle to negotiate differently. The question isn't whether to adopt AI. It's whether your institution will have the autonomy to decide how.