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Sovereignty Is Not About Ownership
A vice-president at a Canadian university called me last month. Her president had told her the institution needed to be on sovereign AI within the year. The provincial government had announced a funding program. Other universities were already applying. She wanted to know what she should be evaluating. I asked her what sovereign meant in this context. She paused for a long time. Then she said, "I think it means the data stays in Canada." I asked what about it staying in Canada specifically
Read storyFounder Reality is written by George Pu — $10M+ portfolio built by 27, no investors, no co-founders.
Latest Essays
What I'm thinking about right now.
One Rack Is a Cloud
What colocation is, and why most AI founders have never heard of it
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You Want Out of OpenAI. Here's Where to Actually Start.
A week ago, I published AI Real Estate. The framing was simple: the AI you use today is rented — like an apartment. There's a ladder above it. Most people don't know the ladder exists. The response was the part I didn't expect. Dozens of people messaged me with versions of the same question. I read it. I get it. I want out. Where do I actually start? Some were lawyers. Some were founders. Some were accountants and consultant
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Three Kinds of Cloud (and Why Two of Them Keep Getting Confused)
I sat down with a Canadian university last week. They were trying to articulate to industry partners what their compute offering would be. They knew "sovereign" was the right word. They couldn't define it for a buyer. They couldn't tell me what a partner would actually use it for that they couldn't already do on AWS in Montreal. That's not the university's failure. The industry calls three different things "cloud" and lets two
Read essayFrom the series · The AI Displacement Series
The Math of Ownership
This is Chapter 5 of 7 in the AI Displacement Series.
More on Sovereign Compute
Three essays from the archive on a different angle.
Hardware Sovereignty Is the New Data Sovereignty
After I wrote about trying to buy a Mac Studio and failing, the replies kept circling the same question. "If I can't buy the hardware and I don't trust the cloud, what am I supposed to do?" That question led me somewhere I didn't expect. I Checked What GPUs You Can Actually Get in Canada Not the marketing pages. Not the pricing calculators either. The actual hardware you can spin up today in a Canadian data center. I went t
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Open Source AI Is Smaller Than You Think. I Did the Math.
The Week That Changed My Mind I spent last week inside open source AI. Reading repos. Testing bundles. Following the usual suspects - Open WebUI, Ollama, LM Studio, Jan, Goose. By Friday I was convinced every serious founder was self-hosting something. GitHub stars everywhere. New releases every week. The timeline on my feed was wall-to-wall "ditch ChatGPT, run it local, own your stack." Then I did the math. Here's what I a
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AI Real Estate: From Apartment to Mansion
AI Real Estate: From Apartment to Mansion A $3,999 Mac Studio runs a 122 billion parameter AI model on your desk. Running the same model on AWS costs roughly $5 an hour. About $3,700 a month if you leave it on. The Mac pays for itself in five weeks. A $3,999 Mac Studio runs a 122B parameter AI model locally. Running that same model on AWS: $5/hour. ~$3,700/month if you leave it on. The Mac pays for itself in five weeks. I
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You Want Out of OpenAI. Here's Where to Actually Start.
A week ago, I published AI Real Estate. The framing was simple: the AI you use today is rented — like an apartment. There's a ladder above it. Most people don't know the ladder exists. The response was the part I didn't expect. Dozens of people messaged me with versions of the same question. I read it. I get it. I want out. Where do I actually start? Some were lawyers. Some were founders. Some were accountants and consultant
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Things You Can't Install From a Prompt
I killed most of my businesses in December 2025. The SaaS. The acquisitions. The MRR goals. The courses and playbooks. All of it was sitting in the kill zone - information products, tool products, advice products. Everything AI was eating for breakfast. A few years ago, you could build a business around knowing things other people didn't. You could package expertise into consulting engagements and courses. You could be the per
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Recent threads
The latest from @TheGeorgePu.
Canada's AI hardware reality check — what's actually available vs. what founders think they can buy.
GPU shipping is the tell. If you can't physically own the compute, you don't own your AI stack.
I only write code when it's 10/10 important. Slowing down is the real productivity move in 2026.
Mac Studio supply is crunched. Apple's quietly rationing M3 Ultra — AI builders feel it first.
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