AI, Interrupted…

The assumption was simple.

The United States would always be the leader in artificial intelligence.
American tech giants had the talent, the infrastructure, the money, and – most importantly – the head start.

Then came DeepSeek R1.

A Chinese-built, open-source AI model trained for a fraction of the cost of its American competitors.
And it’s performing at the level of OpenAI’s latest models.

How did this happen?

With a reported $5 million in training costs, DeepSeek managed to build a PhD-level reasoning AI – 90% cheaper than its U.S. counterparts.
And here’s the twist: It’s fully open-source.
Meta’s GenAI division? Scrambling.
Nvidia? It lost $600 billion in market cap almost overnight.
This isn’t a fluke.

This is the future.

AI (like everything else) is being commoditized.
For years, the assumption was that cutting-edge AI required cutting-edge hardware.
Expensive GPUs.
Billion-dollar data centers.
Massive compute power.
DeepSeek may have proved otherwise.
Jim Fan, a senior research scientist at Nvidia, put it bluntly:
“We are living in a timeline where a non-U.S. company is keeping the original mission of OpenAI alive – truly open, frontier research that empowers all. It makes no sense. The most entertaining outcome is the most likely.”

A wake-up call.

Marc Andreessen called DeepSeek R1 AI’s “Sputnik moment.”
Donald Trump called it “a wake-up call.”
Washington, fresh off of trying to ban TikTok, is now trying to figure out the next move (after showcasing Stargate a $500 billion investment in U.S.-based AI data centers).

But here’s the thing…

DeepSeek didn’t need high-end American chips to build an impressive model.
It built its AI with less.
And necessity is the mother of invention, as the saying goes.

This is where things get interesting.

AI bulls see DeepSeek as proof that we need to move faster toward artificial general intelligence (AGI).
AI skeptics see it as proof of Silicon Valley waste and hubris.
AI safety experts see it as a nightmare scenario – an acceleration that could lead to systems spiraling out of control.
Breakthroughs that once seemed improbable are now arriving with startling regularity… almost daily.

What happens next?

I don’t believe this to be a black swan event (do you?).
This is the new normal.
Just because U.S. companies have led in tech before doesn’t mean they always will.
And protectionism won’t stop innovation from happening elsewhere.
The AI race is no longer theoretical.
It’s here.

And the rules just changed.

This is what Elias Makos and I discussed on CJAD 800 AM. Listen in right here.

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