For most of the world, artificial intelligence isn't a productivity feature — it's a question of whether the next generation of infrastructure serves them or bypasses them entirely.
Roads, electricity grids, and telecoms were each built once, and their distribution shaped decades of inequality. AI infrastructure is being built now.
Access to training and inference compute increasingly determines who can build, not just who can use, AI systems.
Development-aligned AI policy prioritises local capacity — researchers, engineers, translators — over pre-built imported systems.
Delegates work from real development indicators: health access, agricultural yield, literacy — not abstract capability benchmarks.
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