Op-ed: Silicon Valley is dictating U.S. AI policy. It's a mistake that will benefit China

The global competition for AI leadership is intensifying, with China actively shaping international norms and deployment through its proposed World AI Cooperation Organization (WAICO) and a practical, application-first strategy. Beijing is exporting bundled AI solutions and digital infrastructure, particularly to the Global South, enabling accessible AI adoption and leveraging it as a soft power tool. In contrast, the US, while leading in foundational models, is evolving its 'Winning the Race' strategy beyond Silicon Valley's commercial interests to focus on innovation, infrastructure, and diplomacy, aiming to counter China's influence by fostering trusted systems and partnerships. The strategic imperative for both nations is not just technological superiority, but defining global AI governance and providing scalable, real-world solutions to secure long-term influence and market share.

Analysis

The global competition for artificial intelligence supremacy is shifting from a contest of pure technological innovation to a geopolitical struggle over deployment, infrastructure, and international standards. China is executing a deliberate, state-driven strategy to dominate this next phase, proposing a new governance body (WAICO) and exporting practical, bundled AI solutions to the Global South. By framing AI as a utility and embedding it within critical infrastructure like power grids and smart city platforms, Beijing is effectively using technological exports to build soft power and secure long-term strategic alignment with nations in regions like Africa and Southeast Asia. In contrast, the United States' approach, historically anchored in Silicon Valley's commercial focus on foundational models, is now evolving. The 'Winning the Race' AI Action Plan and recent diplomatic engagements, such as the deal for Gulf states to import 500,000 Nvidia chips, signal a growing recognition that leadership requires not just superior models but also trusted partnerships and a compelling deployment narrative. The private sector is also adapting, with OpenAI's release of an open model indicating a strategic move toward transparency to compete with China's accessible, application-first offerings. The core battleground is becoming who can solve real-world problems at scale, with infrastructure—power, water, and bandwidth—emerging as a critical, and potentially prohibitive, determinant of which nations can participate.

Key Decisions for Investors

• Investors should evaluate companies in the AI ecosystem through a geopolitical lens, favoring those whose strategies align with the deployment and infrastructure-building priorities of their respective government blocs.
• Given the emphasis on infrastructure as a prerequisite for AI adoption, consider overweighting positions in companies that supply critical hardware and services for data centers, including semiconductors, cooling, and energy solutions, as this sub-sector is a direct beneficiary of both US and Chinese strategic initiatives.
• Note the strong positioning of key US hardware providers like Nvidia, which is directly benefiting from US diplomatic and strategic efforts to equip allied nations, presenting a clear geopolitical tailwind.
• Beyond foundational model leadership, assess AI software and platform companies on their ability to offer scalable, accessible, and application-specific solutions for emerging markets, as this is the primary competitive arena against China's utility-based model.
• Monitor developments in international standards bodies, as the establishment of either US or China-led frameworks for AI governance will create significant regulatory advantages and potential barriers for companies operating globally.