Issue Four state-level constraints on the AI productivity lever

Summary

This issue sets out four constraints that governments face when they count on AI to lift productivity and secure industrial sovereignty. The first is energy, since the International Energy Agency expects AI to drive a substantial rise in electricity demand that affects grids and clean power, although AI can also help forecast renewables and manage flexible demand. The second is labor markets, where the IMF finds that advanced economies will feel both gains and disruption earlier, unevenly across education, gender and age groups, so AI's spread must be paired with agile safety nets and active labor policies. The third is education, where UNESCO calls for human-centered approaches that build digital, critical and ethical skills while protecting equity. The fourth is fiscal systems, because AI may channel gains toward investors and a few dominant firms, which the IMF says makes it urgent to rethink taxation, redistribution and public investment. EY concludes that the best approach combines investment that encourages innovation with safeguards for rights, energy policy consistent with climate goals and modernized social policy.