Editor’s Note: Ian is hosting an urgent livestream today at 1 p.m. ET. This is a 100% live, time-sensitive event. You can access it here: https://wealth-live.com Why the urgency? SpaceX’s record-shattering IPO filing could happen at any moment, with some reports pointing to this week or even today. Ian says this announcement could trigger a critical move investors need to make right now, involving three little-known opportunities most Main Street investors are completely overlooking. Ian will be live right here at 1 p.m. ET: https://wealth-live.com
Dear Reader,
Next week, Elon Musk is scheduled to flip the switch on a $25 billion factory just outside of Austin, TX.
This isn’t a data center or a new Tesla plant.
It’s a chip fabrication complex designed to produce something on the order of a terawatt of AI compute per year. That’s roughly 2X the average electricity consumption of the entire United States.
If that number sounds excessive to you, that’s because it is.
And it lines up with something Musk said recently about existing fabs only supplying about 2% of the compute his companies are going to need.
That gap is what this new Terafab factory is meant to close.
But the implications of Terafab extend well beyond this one facility.
They extend all the way to outer space. | Iran war. Oil surging. Markets shaking. Gold soaring. One man predicted it all — and says gold hits $22,227. He reveals how to make $5 for $1 gold climbs. See how here now. | A Moving Bottleneck A few weeks ago, we talked about how the AI race is turning into a power race.
Electricity demand tied to data centers is expected to surge, with some projections calling for more than 150% growth by the end of the decade.  Source: spglobal.com Utilities are already struggling to keep up, and connection delays are starting to dictate where projects can even be built.
At the time, the constraint we were focused on was energy. Before that, it was GPUs. And before that, it was data center capacity.
You can see what’s happening here.
AI bottlenecks don’t seem to disappear. They just move around like a game of whack-a-mole. And now the bottleneck is landing on semiconductor manufacturing capacity.
Musk’s answer is to bring that bottleneck in-house.
That’s what Terafab is for. The project is a joint effort between Tesla, SpaceX and xAI, located at his growing Texas campus.  Image: kxan.com The scale of this project is significant, with a price tag around $25 billion. But its structure is what makes it so compelling.
You see, this facility isn’t being built as a traditional fab serving outside customers. It’s being designed to handle the full stack internally — chip design, fabrication, memory integration, packaging and testing — all aligned around Musk’s own workloads.
That’s a very specific decision on Musk’s part.
Because the current way of doing things works just fine as long as you’re willing to share capacity. And most companies are.
But Musk isn’t.
Tesla is pushing toward full self-driving, robotaxis and the Optimus humanoid platform. Each of these systems requires specialized inference chips running constantly in the real world.
Meanwhile, SpaceX is operating Starlink and building toward more advanced on-orbit systems, and xAI is training and deploying large AI models.
Individually, each of these systems is compute-intensive.
Together, the demand for compute compounds exponentially.
That’s why Musk says their current supply of semiconductors only covers a small fraction of what’s coming.
And it shows that this isn’t just about lowering costs or improving margins. It’s also about removing a dependency that would otherwise cap growth.
We’ve seen him do this before with batteries at Tesla and launch systems at SpaceX. Once a constraint becomes important enough, he tends to pull it in-house.
But I’m convinced Terafab is more than a straightforward move to secure chips.
Because a significant portion of its output isn’t meant to stay on Earth.
Musk has been unusually open about where he thinks all this is heading. He’s talked about building manufacturing systems beyond Earth, including the idea of using robots to construct infrastructure on the Moon and launching payloads using electromagnetic mass drivers.  It sounds far off, but it connects directly to what he’s building today.
Terafab produces the chips. Those chips power satellite networks and, eventually, orbital data centers where energy is abundant and cooling is effectively free.
From there, the system expands outward.
The Moon becomes a manufacturing site instead of just a destination. Lower gravity and a vacuum environment make it easier to move materials and launch hardware into space.
That’s the long-term vision.
And Terafab is where it begins.
It produces processors. Those processors power satellites. And those satellites form the compute layer for systems that don’t need to sit on Earth at all.
Over time, this will allow both compute and manufacturing to start to move off-planet.
We’re already seeing the logic behind that shift showing up here on Earth. Companies are building data centers wherever power is cheapest and most reliable.
Musk wants to extend that same idea into space. Here’s My Take Terafab looks like a chip factory.
But it’s really an attempt to internalize one of the most important inputs in the AI economy.
At $25 billion, this is a major capital commitment, even for Musk. And it comes on top of heavy spending across Tesla, SpaceX and xAI.
What’s more, advanced chip manufacturing is one of the most difficult industrial processes in the world, and only a handful of companies have mastered it.
So the execution risk is real.
But if it works, it changes the economics across Musk’s entire ecosystem. Compute becomes internal. Capacity becomes predictable. And scaling no longer depends on external supply chains.
We’ve seen this pattern with Musk’s businesses before. When he identifies a constraint that matters enough, he builds around it.
That’s what Terafab represents.
And it won’t just shape how his companies grow.
It’ll shape where that growth happens. 
Ian King
Chief Strategist, Banyan Hill Publishing
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