Half of Big Tech's Data Centers Are Stalled.

The compute crisis is real, it's accelerating, and it's validating everything we've been building.

Let's get into it.

For years, the assumption was that whoever had the most money would win the AI race.

Build bigger data centers. Buy more GPUs. Spend your way to dominance.

That model is breaking down… publicly, and fast.

Microsoft CEO Satya Nadella: "My issue today isn't chip supply — it's that I don't have facilities with sufficient power and cooling to deploy those chips."

OpenAI CEO Sam Altman: "If there are no major breakthroughs in energy technology, artificial intelligence will not reach its next stage."

OpenAI CFO Sarah Friar: "We are turning down opportunities in 2026 because we don't have enough compute. If you do not have it, you do not have revenue."

These statements aren't from critics. They're from the people running the most capitalized AI companies on the planet.

The numbers back it up: nearly half of all U.S. data centers planned for 2026 have been delayed or canceled. Of 12 gigawatts of announced capacity, only a third is under active construction, choked by power grid bottlenecks, transformer shortages, and the hard physical ceiling of centralized infrastructure. Goldman Sachs projects AI power demand will surge 175% by 2030. The grid isn't ready.

When you concentrate the world's compute into a handful of corporate campuses, you inherit every fragility of that centralized model. One grid region goes down. One supply chain breaks. One administration changes energy policy. Everything stalls.

Decentralized compute doesn't have a single point of failure. It doesn't need a new power plant approved by regulators. It doesn't require a $20 billion land acquisition in a data-center corridor.

It runs on nodes, distributed, globally, by people like you.

Analysts who once dismissed decentralized infrastructure as idealistic are now describing it as the only architecture that can actually scale alongside AI demand. Processing tasks spread across thousands of independent machines worldwide don't hit a gigawatt ceiling. They don't wait on transformer delivery lead times. They grow organically, as the network grows.

Presearch has been building this network for years… as a genuine answer to exactly the infrastructure problem now making headlines daily. And pretty soon, the network will be powering far more than just the Presearch search engine and index population. We’ll be taking on enterprise workloads directly and going to market with APIs that AI developers and builders can tap into for a wide range of distributed compute and inference needs, while sharing that revenue back to our node runners in a variety of ways.

More to come soon…

Warm regards,

Mark Spitznagel, who made $1B in a single day during the 2015 flash crash, warned markets are mimicking 1929. Seems extreme but we did just see the worst quarter for the S&P since 2022.

So it’s not so surprising that Vanguard and Goldman Sachs forecasted 5% and 3% annual S&P returns respectively for 2024-2034.

Late last year, Apollo’s chief economist Torsten Slok put it this way: "expect zero in return in the S&P 500 over the coming decade."

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