🤖 AI Summary
CoreWeave CEO Michael Intrator pushed back on Wall Street worries about an AI-infrastructure spending bubble at The Wall Street Journal’s Tech Live conference, saying “if you’re building something that accelerates the economy and has fundamental value to the world, the world will find ways to finance an enormous amount of business.” He argued that even trillions of dollars of investment are sustainable when they translate into faster economic growth and tangible value.
For the AI/ML community this is a signal that major capital flows into GPUs, data centers, and specialized compute stacks are likely to continue — supporting larger-model training, denser inference deployments, and faster iteration cycles for research and products. Intrator’s stance reframes the debate from “bubble vs. bust” to “ROI and productivity”: continued financing depends on demonstrable economic impact, so infrastructure providers, chip vendors, cloud operators and AI startups must show measurable returns. That view both reassures stakeholders underwriting compute scale and underscores a practical bar for long-term sustainability: investments must drive real-world performance and revenue gains, not just speculative capacity.
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