Recently, a remark by Jensen Huang, the CEO of Nvidia, has caused a stir in the tech world. He said that we have achieved AGI, and that sparked a debate about whether the era of artificial general intelligence has truly arrived.

In a conversation with Lex Fridman, Huang offered his definition—AGI is the ability to accomplish major economic goals, such as generating a billion dollars in revenue. He said that it’s not impossible for an AI system to run a company, or to launch affordable apps for billions of people. It’s a fairly bold claim, but according to Huang, current systems are already approaching that functional level.

Now the question is: what exactly is AGI? Today’s AI models are great at writing or coding, but AGI will be what can learn across different fields, reason, and adapt itself. You won’t need a separate model for every task. Huang’s example shows that AI can now plan, execute, and scale with minimal human intervention.

But it’s not all that straightforward. Many researchers and experts are skeptical about this claim. There is no universally accepted definition of AGI, and no major scientific or regulatory institution has confirmed its arrival. Many people say that today’s AI is still weak in terms of reliability, long-term planning, and real-world understanding.

Even so, Huang’s remarks highlight a major point—how quickly AI capabilities are growing. If AGI truly comes to pass, it could change everything, from software development to business operations and the entire global economy. For now, the question remains whether AI has crossed a historic turning point, or whether it’s still getting close.