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2026-05-15 · Source: Matthew Berman · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

Anthropic's "AI Leadership Scenarios" essay outlines two potential futures for global AI by 2028, emphasizing the critical need for the US and its allies to maintain a lead over authoritarian governments like China. The core argument centers on access to advanced computer chips, primarily developed by American companies, as the most crucial ingredient for AI development. The essay posits that current US export controls on these chips have been successful in limiting China's progress, despite China's significant AI talent, exploitation of loopholes, and distillation attacks. Anthropic presents two scenarios: one where America successfully defends its compute advantage, allowing democracies to set AI norms, and another where a failure to act leads to authoritarian regimes shaping AI's future. The analysis highlights the dual-use nature of AI, enabling both unprecedented productivity and automated repression, and details China's substantial investment in its AI and semiconductor sectors, alongside its documented use of AI for surveillance and military applications.

Key takeaway

For VPs of Engineering and Data evaluating long-term AI strategy, recognize that geopolitical competition significantly impacts technology access and ethical frameworks. Your decisions on AI model adoption and supply chain resilience should factor in the risk of fragmented global AI ecosystems and the potential for restricted access to frontier models. Prioritize robust security against intellectual property theft and consider how your organization's AI strategy aligns with broader national interests in maintaining technological leadership.

Key insights

Maintaining a lead in AI compute is critical for democracies to shape global AI norms by 2028.

Principles

• Compute access is the primary determinant of AI leadership.
• AI's dual-use nature poses significant geopolitical risks.
• Leverage is essential for effective international negotiation on AI safety.

Method

Anthropic proposes a three-pronged approach: close export control loopholes, defend innovations against distillation attacks, and champion the export of American AI to secure a commanding lead.

In practice

• Strengthen export controls on advanced AI chips.
• Implement measures to deter AI model distillation attacks.
• Promote American AI adoption globally, potentially via open-source models.

Topics

• Anthropic AI Scenarios
• US-China AI Competition
• AI Export Controls
• Compute Advantage
• Distillation Attacks

Best for: VP of Engineering/Data, Executive, Policy Maker, Director of AI/ML, CTO

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Editorial summary, takeaway, and curation by AIssential. Original article published by Matthew Berman.