AI Now hires senior fellow to shape AI sovereignty policy

AI Now has handed a roadmap to AI geopolitics.

The organization is seeking a Senior Fellow for Global Programs who will lead a tightly scoped, policy responsive workstream at the crossroads of AI, industrial policy, and the global political economy. The posting makes clear the role is built on AI Now’s existing research on AI nationalism, with a mandate to translate that work into a directed research and policy program. The filing frames AI sovereignty as a rapidly evolving battleground, driven by a robust US industrial policy that champions AI firms in foreign markets, the spread of Chinese open source models, and a spectrum of national responses from cautious restraint to counteroffensive moves. In short, the terrain is becoming more technocratic and geopolitically charged, even as it raises concrete questions about how these technologies affect the public and concentrate power.

The Senior Fellow, Global Programs is described as having three intertwined functions. First, shape a responsive workstream that bridges US domestic and international AI policy, taking AI Now’s current research forward into a directed policy program. Second, identify and pursue real levers to build public interest presence and influence in policy venues both in the United States and in global fora. Third, strengthen and grow AI Now’s global partnerships and research network, with special emphasis on building relationships outside the United States and the European Union. These aims reflect a deliberate shift toward policy relevance on a global scale, not just academic study.

For compliance officers and tech executives, the announcement signals where attention and resources are headed over the coming years. The filing states that the Senior Fellow will operate in a domain where AI nationalism and AI sovereignty are reframe opportunities and risks for how technologies are deployed, who can deploy them, and under what regulatory rollouts. The movement is being watched by policymakers, industry coalitions, and civil society groups alike, as it foreshadows deeper cross-border policy work on governance, safety standards, and the governance of AI capabilities.

The timing is notable. The job posting invites applications by July 3, 2026, a deadline that underscores a longer term push to shape the policy conversation as AI technologies proliferate globally. It also places a spotlight on how quickly institutions expect to translate broad geopolitical theories into concrete policy programs and international collaborations. The focus on outside-US and outside-EU partnerships hints at a strategy aimed at diversifying the policy dialogue, engaging a wider set of national contexts, and ensuring that governance approaches reflect a broader set of real-world constraints and priorities.

For practitioners in the field, a few concrete takeaways emerge. First, policy leadership on AI is increasingly a global concern, with realtime implications for cross-border product launches, data localization, and licensing arrangements. Compliance teams should expect greater scrutiny of how products are designed for international markets, and more frequent cross-jurisdictional alignment efforts. Second, the emphasis on building public interest presence suggests that companies and institutions will need more proactive engagement with civil society and policymakers, not merely technical compliance. Third, governance will likely hinge on identifiable levers, namely funding, partnerships, and international fora, where a small shift in narrative or coalition can tilt policy outcomes. Fourth, the push for global partnerships signals that alliances beyond the traditional US and EU axis will matter for setting norms and shaping enforcement approaches, including how standards are adopted or harmonized across jurisdictions.

Looking ahead, the AI policy landscape will be influenced by evolving industrial policies, the ascent of AI sovereignty discussions, and a broadening set of global players shaping norms. The Senior Fellow’s mandate points to a more networked, globally informed approach to AI governance, a development that compliance and tech leadership should watch closely as it unfolds across regulatory venues, international cooperation efforts, and the instruments policymakers choose to enforce new rules.