US and China are building AI empires – what role does the rest of the world play?

The US and China are on a clear lead in AI development. Both countries are investing heavily in research and development to strengthen their AI technologies and influence global markets. The AI empires they build are used not only for national benefits, but also to make other countries dependent. Capital plays a central role here, as financing and scaling AI projects requires enormous resources. The dominance of the US and China’s AI industries means that many countries make their technology development heavily dependent on these two powers. This has implications for global competition, digital sovereignty and the economic structure of countries that are unable to develop or secure their own AI solutions.

The development of self-improving AI models, as predicted by Anthropic co-founder Jack Clark, underscores how quickly the technology can evolve. Such models can continuously optimize and add new features, making the AI industry even more complex and dynamic. At the same time, there are also solutions that use AI to improve existing systems. One example is AWS Continuum, an AI-powered solution that finds and fixes code vulnerabilities. Such technologies show that AI can be used not only for the future, but also for improving the present.

OpenMobile-2, an open smartphone agent, demonstrates how AI can be integrated into everyday applications. Through training in replicated apps such as shopping and travel apps, AI is becoming more precise and efficient. This example highlights how AI systems can grow through continuous use and improvement. It also shows that AI can play a role not only in large companies, but also in open and sustainable projects.

So global AI development is dominated by the US and China, but other countries and organizations are also trying to use AI technologies for their own goals. The challenge is to take advantage of AI without becoming completely dependent on the dominant powers. At the same time, it is important to design AI systems in such a way that they are transparent, sustainable and usable for everyone. The future of AI depends not only on technology, but also on strategy and the ability to reduce global dependencies.

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