AI sovereignty refers to a state's or enterprise's capacity to act deliberately and in line with its strategic interests regarding how AI systems are developed, deployed, and governed across its tech stack. The term remains ill-defined because it is interpreted differently by different actors who are driven by ideas ranging from complete self-sufficiency to strategic interdependence, and pursuing goals ranging from making their AI supply chains more resilient to external shocks to building AI systems that reflect the local context.
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AI Tech Stack | Closed Source | Hyperscaler | Open-Weight Model
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As nations invest billions to reduce reliance on foreign AI providers, a new Stanford HAI report surveys commercial sovereignty solutions and assesses the extent to which they meaningfully reduce dependencies on U.S. tech giants.
As nations invest billions to reduce reliance on foreign AI providers, a new Stanford HAI report surveys commercial sovereignty solutions and assesses the extent to which they meaningfully reduce dependencies on U.S. tech giants.


This brief surveys the commercial AI sovereignty market and argues that policymakers should focus on calibrating interdependence rather than pursuing full self-sufficiency.
This brief surveys the commercial AI sovereignty market and argues that policymakers should focus on calibrating interdependence rather than pursuing full self-sufficiency.


Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.


As trust in the old order erodes, mid-sized countries are building new agreements involving shared digital infrastructure and localized AI.
As trust in the old order erodes, mid-sized countries are building new agreements involving shared digital infrastructure and localized AI.


World leaders focused on ROI over hype this year, discussing sovereign AI, open ecosystems, and workplace change.
World leaders focused on ROI over hype this year, discussing sovereign AI, open ecosystems, and workplace change.

This chapter surveys the global policy landscape, highlighting policymaking and public investment in AI, and the rising emphasis on AI sovereignty.
This chapter surveys the global policy landscape, highlighting policymaking and public investment in AI, and the rising emphasis on AI sovereignty.