Nvidia's CEO Declares AGI Achieved, Claims AI Now Ready to Rug Pull Your Job

In a recent interview, Nvidia CEO Jensen Huang casually dropped a bombshell that would make any degen's jaw drop: 'We have achieved AGI.' He further mused that it's 'not out of the question' for an AI to run an entire company or launch a low-cost app used by billions, presumably while simultaneously managing a 100x leverage position on the side.

This stands as one of the strongest public claims yet that Artificial General Intelligence—the kind of AI that can perform a wide range of intellectual tasks at a human-like level, like writing flawless code or crafting the perfect 'gm' tweet—may already be live on mainnet. Huang, in a move that redefines goalposts faster than a failed token launch, defined the milestone as AI's ability to complete specific economic feats, like generating a billion dollars in revenue.

His example pointed to AI that can autonomously build and scale a web service to billions of users, suggesting systems that can plan, execute, and iterate with minimal human input. This would mark a fundamental shift from AI as a tool to AI as an autonomous operator, essentially promoting it from intern to CEO overnight, with no vesting cliff.

However, the claim is facing serious FUD, and not the unjustified kind. There's still no universally agreed-upon definition of AGI, and no major scientific or regulatory body has officially confirmed its arrival. Many skeptical researchers argue today's AI still struggles with reliability, long-term planning, and real-world understanding—basically, it can write a whitepaper but can't yet execute the inevitable pivot to an AI narrative.

The statement highlights how quickly capabilities have absolutely mooned. If AGI is truly here and not just another overhyped testnet, the implications would be significant—reshaping software development, business operations, and the global economy faster than a memecoin can pump and dump.

For now, Huang's remarks are adding more high-octane gas to the ongoing debate: whether AI has genuinely crossed a historic threshold or is simply getting closer to it, teasing us with alpha that may or may not ever materialize.