U.S. policy should move beyond frontier innovation and export controls to coordinate technology leadership with alliances, standards-setting, talent development, and international credibility.

Key risks for the U.S. include underestimating China’s long-term industrial strategy, misaligning universities, finance, standards, and diplomacy with tech leadership, and overlooking trusted global partnerships.

China pursues a holistic ecosystem statecraft, weaving together industrial policy, finance, standards, education, developer ecosystems, diplomacy, and commerce to shape global tech competition.

This long-term, integrated strategy aims to mold the entire AI competitive environment—beyond isolated breakthroughs—through coordinated policy, investment, standards, and global deployment.

Governments struggle to shape adoption because many AI decisions are bottom-up, making ecosystem competition more complex than model benchmarks alone.

China has built a robust AI ecosystem that yields multiple world-class innovations, challenging U.S. dominance across model performance, cost, deployment, financing, standards, and global reach.

The U.S. lead in AI is no longer the central question; the U.S. must adapt to a sophisticated Chinese ecosystem built through collaborative ecosystem-building rather than single-company breakthroughs.

China’s frontier AI ecosystem thrives through collective ecosystem-building across firms, contrasting with the U.S. focus on piece-by-piece progress.

Long-term leadership will hinge on the U.S. delivering a coherent national strategy that pairs innovation with ecosystem-building, allied credibility, and global adoption.

To maintain leadership, the U.S. must integrate innovation, alliances, standards, and global influence, recognizing that which ecosystem the world adopts will determine success.

President Xi’s push for international AI cooperation, governance, open-source development, and engagement with developing countries is part of China’s effort to create an alternative global tech ecosystem and broaden its stack.

China emphasizes making AI easy to deploy, customize, and integrate across environments to attract global adoption and influence through its tech stack and governance model.