Delegates Discuss AI Strategy in Latin America, Caribbean

The global AI race between the U.S. and China is intensifying, with China making significant advances in both hardware and AI model performance—its language models are now rivaling or surpassing Western counterparts in certain benchmarks, although it still trails in software ecosystem strength. Chinese companies have leveraged access to advanced chips and manufacturing techniques, but U.S. export controls and new restrictions are aiming to slow China's progress, particularly in semiconductors and AI diffusion. Despite these measures, experts warn that China’s AI sector has grown too advanced to be fully contained by U.S. policy alone. Meanwhile, the increasing adoption of AI models globally raises concerns about political bias, security vulnerabilities, and the risks associated with using models developed or fine-tuned by competing nations, which could introduce hidden biases or performance issues. These developments highlight not only the technological arms race but also the geopolitical and ethical complexities that come with AI’s rapid integration into critical sectors. The evolving contest will likely shape global data infrastructure, security standards, and the direction of future AI innovation.