🤖 AI Summary
Nvidia CEO Jensen Huang pushed back against fears of an “AI bubble,” saying the industry is in the early phase of a multiyear build-out that justifies current valuations. Speaking in London where he received engineering awards, Huang argued that AI is profitable and requires massive investment to modernize compute infrastructure — data centers, GPUs and semiconductor supply chains — and that those investments explain Nvidia’s sky-high market cap. Nvidia briefly passed the $5 trillion mark last week and was valued at about $4.75 trillion as shares slid to $195.21, underlining the market volatility around this rapid expansion.
The remarks matter to the AI/ML community because they frame demand for large-scale compute and GPUs as structural rather than speculative: more models, data and production deployments mean sustained hardware, software and systems engineering demand. Huang also warned China could win the AI race given lower energy costs and different regulation, while global institutions (IMF, Bank of England, WEF) caution that steep equity corrections or job displacements in white‑collar roles are real risks. Technically, the implication is continued heavy investment in accelerators, data‑center scaling and integration work — but with macroeconomic and social trade-offs that researchers, companies and policymakers will need to manage.
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