AI doesn’t scale where capital flows.
It scales where power connects.
For nearly two decades, U.S. electricity demand was flat.
Now AI is forcing a step change.
But the system it’s hitting — transmission, interconnection, generation — was built for stability, not acceleration.
That creates a structural mismatch:
Demand moves fast.
Infrastructure moves slow.
That gap is where constraints form.
And once constraints show up, everything changes:
– pricing
– location decisions
– capital allocation
This is not a technology story.
It’s an infrastructure story.
I write The AI Grid Report where I break down:
– where capacity actually exists
– where bottlenecks are forming
– what it means for investors and operators
Read here →
https://t.co/LTn2mA17mj
The Order Book Went Up. The Stock Went Down.
For twenty-three editions The AI Grid Report measured the grid. Queues, load requests, capacity prices, transformer lead times. That was the lab.
Edition 24 changed the question. Not what is happening to the grid. How you own it.
You can't answer that one from the lab. The moment I named four stocks, the process had to go in the storefront window: what I bought, when, where the stop sat, when I sold, and whether the rule or my judgment did better.
This week it's all in the window. Four positions. Four exits on one day. What a fixed stop would have done with each. Where the rule would have done better than I did, and where it would have done worse.
I'd like to say the exits were foresight. They weren't. That's in the window too.
https://t.co/oxx6StYPvd
There is so much bollocks being talked about AI right now. I am sick of hearing from people complicit in making AI what it is today that they have created a monster and we must all slow down. I’m sure China will be happy to step back until the folks at Anthropic and OpenAI have rearranged the landscape to fit their IPO plans…
This from the Texas Tribune:
“Without the study, large-load users like data centers, along with traditional industry, do not know when they will be approved to receive power, creating delays in construction timelines. ERCOT officials testified to the House Committee on State Affairs on Wednesday that several projects have already dropped out of Batch Zero because of the delay.
Baker said the uncertainty goes beyond the data center industry because traditional manufacturers are stuck in the same queue with the hundreds of data centers that have disrupted ERCOT’s study process.
“It’s not going to be perfect, but (Batch Zero) is thoughtfully setting out how you narrow the funnel,” Baker said. “The key thing for all of these businesses is how to do that in a predictable and stable and credible way. Various wrenches being thrown in the process make that really hard to call it a predictable stable process.”
Abbott playing politics with the grid.
Governor Abbott is playing politics with the Texas grid.
ERCOT and PUCT had everything under control filtering out frivolous load and making large data centers pay their way.
Then the Governor decided his re-election campaign needed to jump on the hate data centers bandwagon.
Was this necessary?
@DariusDale42@theallinpod@friedberg@Jason@chamath@DavidSacks As a client, here’s what happens: structure portfolio around KISS and Dr MO. Read 100 + pages of research each week. Understand 50%. Watch for change signals. Open terminal. Make trades. Close terminal. Do something else. Read 100 + pages of research…rinse, repeat.
AI has become the headline.
I’m more interested in what’s happening underneath it.
After an hour with Andy Masley (The Signal), I wrote about the three ideas I was still thinking about after our conversation.
If you care about AI, data centers, and the grid, I’d love to hear where you land.
https://t.co/m5RyiK4Cyh
This headline about Hochul signing an executive order on a data center moratorium is not what it seems.
She had a piece of legislation on her desk to sign that would have reached down to 20MW projects.
This EO is for 50MW and above- for one year.
Smart politics?
https://t.co/PT65aGct4s
Lots of misinformation being pushed by politicians using their AI tools to target outrage. Claims of increased electricity prices due to data centers are more properly attributed to poor policy decisions such as trying to replace Indian Point with renewables. Large loads are misunderstood. The removal of large loads by taking them off grid in fact increases prices for the rest of the neighborhood because large loads absorb substantial volume-related charges. They are drawing similar outrage to 2014 fracking.