📉 The Man Who Predicted 2008 Is Now Betting Against AI

Welcome, AI enthusiasts

Michael Burry, the investor famous for The Big Short, is making another move, this time against the AI boom. He’s betting big that Nvidia and Palantir, two of the market’s biggest winners, are due for a fall. Let’s dive in!

In today’s insights:

• The Man Who Predicted 2008 Is Now Betting Against AI

• Google Aims to Power AI from Space

• OpenAI Eyes $20B Revenue by Year-End

Read time: 4 minutes

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MICHAEL BURRY
📉 The Man Who Predicted 2008 Is Now Betting Against AI

Evolving AI: Michael Burry is betting big against Nvidia and Palantir, warning of an AI bubble.

Key Points:

• Burry placed $1B in put options against Nvidia and Palantir.

• Both stocks have seen massive gains this year.

• His move echoes rising concern from investors like Ray Dalio over inflated AI valuations.

Details:

Michael Burry, known from The Big Short, is shorting two of the biggest AI winners( Nvidia and Palantir) despite their record-breaking performance. His $1B in put orders signal deep skepticism about the AI rally’s sustainability. Other investors, including Ray Dalio, share the concern, suggesting the current tech boom may resemble past bubbles fueled more by hype than profits.

Why It Matters:

Burry’s bet is basically a stress test on the whole AI trade: if someone famous for spotting bubbles is willing to put a billion on the line against Nvidia and Palantir, it forces everyone else to ask whether they are investing in real earnings or just momentum. With AI gains packed into a handful of mega caps and people like Ray Dalio flagging bubble signals, his move is a reminder to check how exposed your portfolio or business is to a single story. If AI expectations reset, do your products, clients, or investments still look good without the hype baked in?

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GOOGLE
🛰️ Google Aims to Power AI from Space

Evolving AI: Google’s Project Suncatcher wants to run AI data centers on solar satellites in orbit.

Key Points:

• Google’s new research moonshot, Project Suncatcher, explores solar-powered AI computing in space.

• Early tests show Google’s TPUs can survive intense radiation and communicate at 1.6 Tbps.

• The company plans to launch prototype satellites with Planet Labs by 2027.

Details:

Project Suncatcher is Google’s experiment to see if AI computing can operate off-Earth. The plan is to deploy satellites carrying its Tensor Processing Units (TPUs), powered directly by constant sunlight in orbit. Engineers have already hit key milestones, including high-speed optical data transfers and radiation-resistant chips. Costs remain high, but with cheaper rocket launches expected in the 2030s, Google believes space computing could become economically feasible. Two prototype satellites are set to launch in 2027 with Planet Labs.

Why It Matters:

Space-based AI compute sounds like sci-fi, but Google is really poking at a near-term headache: AI is chewing through electricity and water at a pace that makes regulators, grids, and investors nervous. If Suncatcher works, hyperscalers could shift the hungriest training jobs off-planet, freeing up grid capacity, cutting local emissions and water use, and dodging some NIMBY fights over new data centers. It even opens a weirdly practical question for infra teams and founders: do you design future models and workloads assuming part of your compute lives 400 miles above your users’ heads?

OPENAI
💰 OpenAI Eyes $20B Revenue by Year-End

Evolving AI: Sam Altman says OpenAI expects to reach $20 billion in revenue this year, without taxpayer backing.

Key Points:

• Altman rejects government bailouts, saying AI firms should bear their own risks.

• OpenAI plans $1.4 trillion in investments over eight years to meet rising compute demand.

• Revenue could jump from $1.3B in 2023 to $20B in 2024, driven by enterprise tools, consumer devices, and AI cloud services.

Details:

Sam Altman says OpenAI won’t rely on public safety nets, calling instead for government-run AI infrastructure that benefits society directly. He clarified that the company hasn’t sought guarantees or bailouts, countering rumors after comments from its CFO. OpenAI’s spending plans reflect a massive scale-up to support new AI models and features—many of which are being delayed by capacity limits. The company expects demand to spike in sectors like science and medicine, even as AI’s long-term impact there remains uncertain.

Why It Matters:

Altman is basically saying: if OpenAI’s $1.4 trillion AI buildout pays off, investors win, and if it blows up, taxpayers shouldn’t be left holding the bag. He is pushing a split model where private firms chase huge upside with their own capital, while governments fund shared AI infrastructure that schools, hospitals, and public labs can tap into. For anyone using AI, that means two tracks taking shape: premium, proprietary stacks from OpenAI and its rivals, and a potential “public option” for compute that could keep costs in check and give researchers more open access.

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