AI 2nd mkt CRASH 📉, NVDA/MRVL Team Up. Memory & Physical AI Wave 🤖

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TL;DR

AI's second market crash is exposing real winners (memory chips, data centers) and losers (OpenAI facing legal troubles and secondary market collapse), while physical AI and space-based infrastructure emerge as the next frontier.

Key Insights

memory chips outperforming AI software — Memory chips like Micron are the real AI winners—not the AI companies themselves. Micron shot from $100 to $475 then crashed on Google's Turbo Quant news, but buy signals are emerging.

OpenAI secondary market dead — OpenAI has a serious problem. $600 million worth of shares are on the secondary market with no buyers, and a new lawsuit alleging sexual abuse by Sam Altman's sister could torpedo an IPO and depress valuations further.

data center buildout hitting bottlenecks — Half of planned US data centers for 2026 are expected to be delayed or cancelled because of transformer shortages and supply chain issues—the US relies on China for critical electrical equipment.

Nvidia backs hardware ecosystem — Nvidia just invested $2 billion in Marvell to strengthen AI infrastructure collaboration, showing big players are doubling down on supply chain control rather than pure AI software.

FSD adoption exploding — Tesla's Full Self-Driving has gone from 8 billion to 9 billion miles in just 41 days—adoption is accelerating exponentially and could flip the stock narrative if robotaxis become real.

space data centers as AI solution — Space-based data centers are becoming serious. StarCloud is raising money to build them, and if SpaceX gets launch costs under $100 per kilogram, space cooling becomes cheaper than Earth cooling.

Deep Dive

The AI Graveyard: What's Actually Failing

InvestAnswers opens with a blunt assessment: AI hasn't failed, but plenty of AI players are getting left behind. The biggest shock is that someone in Korea allegedly reverse-engineered Claude's closed-source code in Python overnight, and because it's new code, it can't be taken down for copyright infringement. The broader question: what's a moat in AI anymore? Meanwhile, a Forbes article called OpenAI's history an 'graveyard'—Sora killed, Grok abandoned, Stargate dead. The company keeps killing products, which raises real questions about vision and execution at the world's most valuable startup.

Memory Wins, Software Loses—At Least for Now

The actual winners in AI aren't the AI companies—they're memory and semiconductors. Micron crashed from $475 to around $160 after Google announced 8X more efficient memory, but it's got a buy signal at $165 and demand is still through the roof. Meanwhile, AI as a category has underperformed compared to data centers and chips. SaaS companies have been destroyed, proving AI is real and competitive. The market is slowly figuring out that the real money is in chips and infrastructure, not software.

OpenAI's Secondary Market Collapse and Legal Trouble

This is the dark part. OpenAI has $600 million in shares sitting on the secondary market with zero demand, while Anthropic shares are flying off shelves. The reason became clear today: Sam Altman's sister filed an amended lawsuit alleging sexual abuse as recently as 2006. Lawsuits in actual courts don't disappear quickly, and they can kill IPO plans. InvestAnswers's advice is blunt—if someone offers you OpenAI shares on the street corner, don't buy them. Too risky until this dust clears.

Data Center Bottlenecks and the China Problem

Half of planned US data centers for 2026 will be delayed or cancelled. The chokepoint isn't space or chip availability—it's transformers, the huge electrical equipment that channels power from the grid. Elon called this out a year ago. The US doesn't manufacture enough of them and has to import from China. Out of 35 to 36 gigawatts of announced data center power, only 4 or 5 are under construction. The other 32 haven't broken ground. Cooling is eating 10% of global electricity, and it's getting worse as AI scales. This is why space data centers matter—cooling is easier and cheaper up there.

Physical AI and Space: The Real Next Wave

Tesla's Full Self-Driving just hit 9 billion miles, and it took only 41 days to go from 8 billion to 9 billion. The first billion took three and a half years. FSD 14.3 is rolling out to employees this month and should hit wide release next week, with unsupervised driving as the goal. Jensen Huang calls the next phase the physical AI revolution—self-driving cars, humanoid robots. Meanwhile, StarCloud is raising money to build data centers in space using SpaceX launches at roughly $500 per kilogram. If Starship scales and costs drop under $100 per kilogram, space becomes economically viable and SpaceX wins big. The APO is slated for June and could be the biggest IPO ever.

Takeaways

✓Don't buy OpenAI shares on the secondary market right now—legal troubles and zero demand signal major risk until the lawsuit dust settles.
✓Memory chip companies like Micron are the real AI play, not AI software companies. Buy signals are emerging after the recent crash.
✓Tesla's FSD adoption is accelerating exponentially. If robotaxis actually deploy, the stock could rerating from current levels around $360.
✓Data center buildout is hitting real bottlenecks on electrical equipment and cooling. Space-based data centers could become economically viable if launch costs hit $100/kg.

Key moments

2:00Claude source code reverse-engineered overnight

“Apparently, allegedly, I can't vet it, but there was some type of leak of the so-called anthropic TS source code, which is claude code, which is closed source, not open source, like open AAI, which is also closed. Um, and somebody in Korea, this Korean guy, basically rewrote the entire cloud code using Python in hours.”

8:00OpenAI shares dead on secondary market

“Open AAI demand sinks on the secondary market. There's about 600 million share, $600 million worth of shares that people are looking to offload, but nobody is biting.”

10:00Sam Altman lawsuit warning

“Sam Alultman's sister files an amended lawsuit alleging sexual abuse as recently as 2006. Very, very scary as well. Now, the reason we care about this is because when you have things like this happening, bonafide lawsuits in courts of law, that could put a pin in a potential IPO and also depress the secondary market.”

15:00FSD adoption explosion

“What's interesting is the first billion miles took three and a half years to get to. And the last billion miles going from 8 billion to 9 billion miles only took 41 days. FSD adoption is going through the roof.”

23:00Data center bottleneck: transformers and China

“There's a shortage of electric equipment such as transformers. Guess what Elon Musk over a year ago said? Transformers are a bottleneck. Um they are the things the big things that channel the electric into the data center from the grid. Also switch gears, batteries, etc. And the US doesn't have manufacturing capacity for these things, forcing it to rely on imports. And these imports come from guess where? China.”

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