Frontier AI infrastructure (data centers, memory supply) will not reach adequate scale until late 2028 or early 2029.

The AI hardware bottleneck is now memory and bandwidth rather than compute.

“We are not in a computebound world. We are in a memory and network and communication or bandwidthbound world.”

TSMC's reduced growth rate in 2023-2025 will worsen the compute shortage over the next few years because fab lead times are longer than data center lead times.

“TSMC decreased their rate of growth in 2023 and 2024 and 2025. So like we're our shortage of compute is going to get worse in the next few years because a fab the lead time is even greater than a data center.”

All new data centers built in the next year or two will be gas-powered because renewable sources cannot scale fast enough.

“It's all gas powered for the new data centers. That's the only way to kind of get the amount of scale that you need in the next year or two.”

Nvidia is considering releasing lower-memory versions of Rubin Ultra partly because it may not secure enough high-bandwidth memory for the production run.

“Nvidia is considering releasing the lower memory versions partly due to concerns that they won't be able to secure enough high-bandwidth memory for the production run.”

The US faces a shortage of 500,000-600,000 electricians for data center construction alone.

“You're 500 to 600,000 electricians short just for data centers. Broadband 150,000.”

A semiconductor fab that is turned off takes 90 days to restart.

“When you turn off a fab, it doesn't come back on for 90 days.”

Nebius claims it could sell its entire 2027 compute capacity today, indicating enormous unmet demand.

“Demand for what we are building continues to be enormous. We could sell today our entire 2027 capacity if we wanted.”

Five more years of AI progress would enable an AI to take over a fab and produce more chips.

“I'm going to take over a fab and produce more chips. I'm going to go into Congress and try to convince them to pass some bill.”

The AI data center power shortage will begin to alleviate in 2027-2028.

“I think the watts shortage will probably begin to alleviate 27 28.”

Nvidia's Blackwell GPU generation provides scale-up memory on the order of 10-20 terabytes, which is sufficient to hold a ~5 trillion parameter model plus KV cache.

“With Blackwell finally, which was deployed in… Maybe last year. You finally have a scale-up on the order of 10-20 terabytes, which is enough for a 5T model plus KV cache.”

By 2027, AI progress will be primarily proportional to compute, and human researcher talent will no longer matter significantly.

“One of the key aspects of AI 2027 the tabletop is that mostly your progress is proportional to your computer And your current place like they're like you move up the timeline at a different at a at a rate proportional to what percentage of the world's compute you have because your researchers no longer matter very much, right?”