
Sam Altman and the AI Decel Debate Cost You Money
The AI deceleration crowd said slow down or we all die. Sam Altman said build faster and won. Here's what $500 billion in committed AI infrastructure means for your financial position right now and
27 articles

The AI deceleration crowd said slow down or we all die. Sam Altman said build faster and won. Here's what $500 billion in committed AI infrastructure means for your financial position right now and

The fight to slow AI is really a fight over who profits from it. Sam Altman says push forward. The decel crowd says stop. Here's the money side neither side wants to talk about.

Recursive Superintelligence committed $410 million to Amazon Web Services for compute infrastructure. Most people will read this as routine tech news. It isn't. Here's what the deal actually signals about who controls the next

Meta spent hundreds of millions promoting AI optimism and accidentally set the campaign to a song about human extinction. The real story isn't the blunder. It's what the blunder tells you about how Big

Jensen Huang just made Japan the most critical AI investment destination on earth. NVIDIA and SoftBank are committing billions to Japan's AI buildout. Here is what the smart money is watching next and how

Christopher Nolan called AI an obvious Trojan horse while promoting Odyssey. He's not being dramatic. He's reading the business model behind a $4.8 billion wealth transfer away from creators and toward infrastructure owners.

Index Ventures cofounder Neil Rimer says the AI money cycle has turned. After three years of pouring capital in, returns are starting to flow back out. Here is what that means for founders and

The AI funding drought is over according to Index Ventures founding partner Neil Rimer. Global AI deals rose 41% in Q1 2026. Here's what the return of operator capital means for builders and investors

Neil Rimer of Index Ventures is signaling the AI investment cycle has shifted from building to harvesting. Most investors will miss the move. Here is what the smart money is actually doing.

The first wave of GPU financiers built fortunes on training infrastructure. Now $400 million is moving into inference chips, and the signal is clear. Here is what the money is saying and what smart