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Applied AI·July 3, 2026·1 min read

Why building AI for schools is harder than building a chatbot: inside Smartschool’s approach to exam prep

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Education AI is a regulatory and outcomes-constrained environment — SAT/ACT prep tools have to prove reliability and pedagogy, not just answer questions. If you’re selling into schools, budget for longer pilots, tighter guardrails, and evidence that your model improves high-stakes exam performance, not just engagement.

Applied AI

Meta could use its compute for its own models, ad scaling, SpaceX-like neocloud deals, and hosting 3rd-party models; it may be close to an Anthropic deal

If Meta starts selling excess compute and hosting third-party models — potentially including Anthropic — it shifts from pure AI consumer to horizontal infra provider. For operators, that means more leverage in cloud and model negotiations, but also a more complex decision: whose ecosystem do you want to be strategically dependent on over the next 3–5 years.

Applied AI

AI infrastructure stocks have overtaken the tech hyperscalers in a shift UBS calls ‘extraordinary’

Public markets are repricing from “own the platform” to “own the picks-and-shovels”—UBS is calling for 600% value creation in AI infra vs 100% for hyperscalers over four years. If you’re an operator, this means more aggressive infra vendors, richer financing options for hardware-heavy plays, and potentially tougher pricing from suppliers who now see themselves as the growth story.