According to Greg Brockman (@gdb), demand for AI compute resources will continuously exceed supply, as shown by recent usage statistics (source: Twitter, Dec 28, 2025). He highlights that increased compute power directly accelerates progress toward business and research objectives, creating a self-reinforcing cycle of demand. This trend has major implications for AI industry stakeholders, including cloud service providers and hardware manufacturers, who must adapt to persistent and growing demand. Forward-looking businesses are advised to consider scalable compute solutions and strategic partnerships to stay competitive in the rapidly evolving AI landscape (source: Greg Brockman, Twitter).

According to Jeff Dean on X (formerly Twitter), Google has announced the general availability of its 7th generation TPU, codenamed Ironwood, for Cloud TPU customers. This new release features significant improvements in both performance and efficiency compared to previous generations, enabling faster model training and inference for enterprise AI applications. The Ironwood TPU is expected to accelerate large-scale machine learning workloads, including generative AI and deep learning, providing a substantial competitive advantage for businesses leveraging Google Cloud's AI infrastructure (source: x.com/sundarpichai/status/1986463934543765973).

According to Greg Brockman on Twitter, OpenAI has entered a strategic partnership with AWS to expand the compute infrastructure required for large-scale AI development, aiming to make advanced AI technology more accessible and beneficial for businesses and users worldwide (source: https://twitter.com/gdb/status/1985378899648544947). This collaboration leverages AWS’s robust cloud capabilities to accelerate AI research and deployment, offering enterprises scalable solutions for generative AI, machine learning, and enterprise automation. The partnership is expected to drive innovation in AI-powered applications and lower barriers for organizations seeking to implement cutting-edge AI technologies (source: https://x.com/ajassy/status/1985351258333643172).