AI Now Hires Senior Fellow to Shape Global AI Policy

AI policy just got a new global strategist. The AI Now Institute has announced a search for a Senior Fellow, Global Programs to lead a tightly scoped, policy-responsive workstream at the intersection of AI, industrial policy, and the global political economy. The move is designed to turn AI nationalism and sovereignty research into a directed research and policy agenda, with an eye toward real-world influence in both US policy venues and high level international forums.

The posting highlights a rapidly shifting landscape for AI governance. The terrain around “AI sovereignty” is being reshaped by an assertive US industrial policy that champions AI champions in foreign markets, the spread of Chinese open-source models, and the varied responses of nations that range from cautious acceptance to aggressive pushback as they grapple with the tech oligarchy’s global impact. The result, AI Now notes, is a discourse around AI sovereignty that is increasingly technocratic and geopolitically framed, which can obscure the public consequences of how these technologies are deployed and the concentrations of power they drive. Against that backdrop, the Senior Fellow will be expected to fuse research with policy action, ensuring that public-interest considerations stay visible in the policy debate.

The role is threefold. First, the Senior Fellow will shape a responsive workstream that bridges US domestic AI policy with international policy concerns, taking AI Now’s existing research forward into a directed program. Second, the job requires identifying and pursuing real levers to build public-interest presence and influence in debates across US policy venues and global fora. Third, the Senior Fellow will strengthen and grow AI Now’s global partnerships and research network, with special emphasis on building relationships and collaborative capacity outside the US and EU. The posting notes a concrete deadline for applicants: July 3, 2026.

From a policy and compliance perspective, the appointment signals a sharpened emphasis on global governance and cross-border AI risk. The emphasis on AI nationalism and sovereignty means compliance leaders should expect closer attention to how international norms, trade policies, and export controls shape technology deployment. For firms, that means tracking shifts in foreign models, data localization pressures, and evolving regulatory expectations that may emerge from state-led policy forums and multinational negotiations. In practice, the Senior Fellow’s work could inform the guardrails, standards, and enforcement conversations that govern how AI is used and monitored around the world.

Two to four concrete practitioner insights stand out. First, expect a heightened need for harmonizing internal risk controls with a shifting external policy posture. As policy debates move toward sovereignty and national champions, compliance programs will need to adapt to new standards that cross borders and industries, not just domestic rules. Second, the emphasis on building influence in global fora implies that industry stakeholders should participate early in conversations about governance, not as afterthoughts but as organized, public-interest aligned voices that help shape credible, enforceable norms. Third, the focus on outside-US and outside-EU partnerships creates opportunities to learn from diverse regulatory approaches, but also risks fragmentation if jurisdictions diverge. Firms should map where partners align on core principles and where policy gaps may emerge. Fourth, the role’s emphasis on translating research into policy agendas points to a growing need for proactive, technically informed policy teams that can translate complex AI realities into concrete governance proposals and practical risk controls.

In short, AI Now’s hiring push marks a deliberate pivot toward global, policy-driven governance. For compliance officers and tech leaders, the implication is clear: stay alert to evolving sovereignty debates, engage early with international policy conversations, and prepare to adapt risk programs to a more geopolitically charged AI governance environment.