The article discusses the evolution of infrastructure in the context of artificial intelligence, particularly focusing on the role of gatekeepers in managing access and ensuring security. It highlights the challenges and opportunities that arise as AI technologies continue to advance and influence infrastructure development. Insights into the implications for various sectors and the importance of strategic planning are also presented.

Meta has entered a six-year agreement to spend over $10 billion on Google cloud services, focusing on artificial intelligence infrastructure. This deal comes as Google aims to compete with larger cloud providers like Amazon Web Services and Microsoft Azure, while Meta seeks to enhance its cloud capabilities amid heavy investments in AI.

The article discusses how the current realities of cloud computing, including latency, data privacy, and infrastructure costs, are hindering the ambitions of artificial intelligence (AI) development. It emphasizes that these challenges require organizations to rethink their strategies and adapt to the limitations of existing cloud technologies in order to fully leverage AI's potential.