🤖 AI Summary
Nvidia CEO Jensen Huang told employees in an all-hands that he wants AI used “for every task that is possible” and pushed back on managers who tell staff to use less AI, saying “Are you insane?” He urged engineers to adopt tools like the coding assistant Cursor — “use it until it does [work],” and if it fails, jump in to improve it — and promised employees they won’t lose work as automation scales. The comments came a day after Nvidia reported record revenue ($57.01B last quarter), a workforce expansion from 29,600 to 36,000 year-over-year, and a market cap north of $4 trillion, while Huang said hiring remains aggressive and offices are expanding globally.
For the AI/ML community this is a clear cultural signal from one of the industry’s biggest platform providers: treat AI as a default productivity layer and invest engineering effort into making models reliable. The endorsement accelerates enterprise and developer adoption of AI-assisted coding and workflow automation, while highlighting an expectation that practitioners not only use models but also iterate on and integrate them into production systems. It also underscores broader labor dynamics — rapid hiring at Nvidia despite industry layoffs — suggesting AI will change job content toward augmentation, tool-building, and systems-level integration rather than simple headcount replacement.
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