Machine Learning Times
EXCLUSIVE HIGHLIGHTS
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...
SHARE THIS:

1 week ago
Here’s why concerns about an AI bubble are bigger than ever

 

Originally published on NPR, November 23, 2025.

Perhaps nobody embodies artificial intelligence mania quite like Jensen Huang, the chief executive of chip behemoth Nvidia, which has seen its value spike 300% in the last two years.

A frothy time for Huang, to be sure, which makes it all the more understandable why his first statement to investors on a recent earnings call was an attempt to deflate bubble fears.

“There’s been a lot of talk about an AI bubble,” he told shareholders. “From our vantage point, we see something very different.”

Take in the AI bubble discourse and something becomes clear: Those who have the most to gain from artificial intelligence spending never slowing are proclaiming that critics who fret about an over-hyped investment frenzy have it all wrong.

“I don’t think this is the beginning of a bust cycle,” White House AI czar and venture capitalist David Sacks said on his podcast All-In. “I think that we’re in a boom. We’re in an investment super-cycle.”

“The idea that we’re going to have a demand problem five years from now, to me, seems quite absurd,” said prominent Silicon Valley investor Ben Horowitz, adding: “if you look at demand and supply and what’s going on and multiples against growth, it doesn’t look like a bubble at all to me.”

To continue reading this article, click here.

Comments are closed.