Artificial intelligence has established itself as a central axis in global geopolitical competition. Unlike previous technological revolutions, AI not only drives productivity or creates new sectors but also redefines the balance of economic, military, and political power. Mastering its development means controlling key areas such as automation, defense, surveillance, cybersecurity, and international economic influence. The struggle for supremacy in AI transcends business innovation. Factors such as investment, supply chain control, regulation, industrial policy, and access to advanced semiconductors are decisive. In this scenario, the United States and China have adopted distinct but equally ambitious strategies. The United States leads in private investment and the development of advanced models. According to the Stanford University AI Index Report, in 2024, private investment in AI in the U.S. exceeded $100 billion, compared to less than $15 billion in China. More than 60% of global venture capital in AI is concentrated in the U.S., driven by tech giants and specialized funds. This leadership translates into large-scale projects. Companies like Microsoft, Google, Amazon, and Meta invest over $10 billion in data centers dedicated to AI training. Additionally, the Stargate project, led by OpenAI alongside Oracle and SoftBank, aims to create advanced computing infrastructure on U.S. soil for next-generation models. China, on the other hand, is betting on a massive mobilization of public resources. AI is a priority in the New Generation Artificial Intelligence Development Plan and in five-year plans. According to CSIS and OECD, public and quasi-public investment in AI, semiconductors, and advanced computing could reach between $400 billion and $500 billion between 2021 and 2030. These investments are not only directed towards basic research but also to selected private companies, local governments, and industrial consortia, aiming to reduce foreign technological dependence. Regulation is a key instrument in this rivalry. In China, AI regulations favor the local industry and restrict the use of foreign software in strategic sectors, imposing national certification requirements, local data storage, and proprietary technical standards. These measures are complemented by subsidies, credits, and public procurement, allowing Chinese companies to compete with structural advantages against international rivals. An example is the regulation by the Cyberspace Administration of China (CAC) on algorithmic recommendation services, which forced platforms like TikTok to create separate versions for the Chinese market (Douyin), with independent data infrastructures. In response, the United States has used trade controls as a geopolitical tool, restricting the export of advanced chips, lithography equipment, and design software, thus limiting China's access to critical technologies for high-performance AI. The battle is particularly focused on hardware. The production of advanced chips is highly concentrated in TSMC, the Taiwanese company that manufactures between 80% and 90% of the most sophisticated semiconductors for AI. This concentration makes Taiwan a crucial geostrategic point and a source of vulnerability for the global technological system. To reduce this dependence, the U.S. has launched the CHIPS and Science Act, allocating $53 billion and generous tax incentives to attract advanced manufacturing. TSMC is already building factories in Arizona, while Japan and Europe are seeking alternatives, although dependence on Taiwan for the most advanced nodes will persist for years. China, for its part, is accelerating the development of its own semiconductor industry but still faces limitations in cutting-edge technology, which hinders its aspirations in advanced AI. In this context, the competition for AI involves the formation of technological blocs. The U.S. strengthens alliances with Japan, South Korea, and Taiwan, integrating foreign actors into strategic projects. China promotes national and regional consortia to create a more self-sufficient ecosystem, albeit less globally connected. The geopolitical pulse of AI also involves less visible actors: data center operators, energy suppliers, cooling equipment manufacturers, lithography companies, and specialized software developers. In China, notable are technology parks funded by local governments; in the U.S., public-private consortia manage critical infrastructures. In short, AI has ceased to be just a sector and has become an infrastructure of power. The U.S. maintains an advantage in innovation and hardware, while China compensates with scale and a coordinated industrial policy. This confrontation is structural and will have profound repercussions on trade, security, and the global economic balance in the coming decades. Source: libertaddigital.com