Rich Lamelleau

speaker

238 appearances 7 recordings 5 series first heard Dec 2025 last heard 7 Jul

Rich Lamelleau’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 7 in all, peaking in Jun 2026 with 4.

Appearances

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All-In with Chamath, Jason, Sacks & Friedberg · Socialists Sweep NYC, China Catches Up in Coding, AI Memory Crunch, Micron's Blowout Quarter · 26 Jun 2026 podcast

Honestly, I think that we are losing the script.

And part of it is because we've been our own worst enemy.

I'll just keep saying this, that

I think AI is a very good prism into this problem.

I think AI is the greatest economic leveler we'll ever find in our lifetime.

I think it's the thing that can create the greatest amount of equality.

I think that it can even the starting line for every single person on earth.

But we've done such a poor job in representing it, in bringing it to market, in talking about it.

We've let all of our own personal trials and tribulations and insecurities and fights spill out into the open.

As a result, Silicon Valley has lost even more credibility with the people at large.

And in that vacuum, what other people can paint is a picture of how anything other than what capitalism looks like today is a better version of what they see.

And this is why you're seeing, I think, a lot of these people get a lot of momentum.

I think if you look at some of the key congressional races, they were a referendum on AI.

And the good news is we were able to hold the line in some of these key places, but just barely.

In Utah and in New York, there was a couple of very important races where it was essentially anthropic-funded anti-AI groups, which is, again, insane, against

in some ways, OpenAI-funded pro-AI groups, and the pro-AI groups won.

The best way to explain it is, I think that

The first real major unlock of economic productivity was when the internet and specifically Google went and harvested and collected all the world's knowledge and all the world's information.

And they made it available via search.

What we figure out, though, 25 years later, despite the fact that they built a great business, is what was missing was then being able to take that knowledge and information and transform it into expertise and intelligence.

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