💡 The $10T AI Revolution

Welcome back to the only newsletter that tracks down the real AI money moves while your LinkedIn feed is still debating if ChatGPT can write better emails than your intern...

CTO Quick Hits 🎯 

→ Google and Meta power India’s AI backbone.

→ The AI revolution could generate $10 trillion by 2030.

→ AI doppelgängers (robots) are actually doing things.

The Big Picture 🖼️

→ You know what billionaire Mukesh Ambani figured out that most people missed?

While everyone was arguing about whether AI is "real" or just hype, this guy quietly partnered with Google and Meta to build AI infrastructure across all of India.

That's not a tech story.

That's a "follow the money" story.

Because here's what nobody wants to admit: The AI revolution isn't projected to hit $10 trillion.

It already did. We're just too busy arguing about ChatGPT to notice.

Right now, in some random office building, there's probably a team using AI "doppelgängers" to handle their email backlog while their competitors are still manually responding to every DM.

(Seriously, imagine having a robot that could actually respond to your missed emails. Revolutionary.)

But here's where it gets weird...

While everyone's building bigger, flashier AI models, the smart money is going the opposite direction.

Small language models. (PROOF)

Lean, mean, efficiency machines that don't need a nuclear reactor to run.

The companies betting big on massive AI models? They're playing the wrong game entirely.

The ones quietly building small, scalable systems that integrate seamlessly into existing workflows?

Those are the ones that'll still be profitable when everyone else burns through their funding.

→ Here's what Intel figured out that most semiconductor companies are missing...

While everyone else is playing catch-up in the global chip wars, Intel just cracked the code on something big.

They discovered that surviving this brutal industry isn't about having the fanciest tech (though that helps).

→ It's about being able to pivot fast when the market shifts.

Enter Policy as Code — the secret weapon that's helping organizations like Intel slash their operational overhead while ramping up their AI game at warp speed.

Think about it: In a world where AI is reshaping entire industries overnight, the companies that can adapt their processes in real-time are the ones that'll still be standing when the dust settles.

The rest? They'll be watching from the sidelines, wondering what hit them.

→ The companies getting rich off AI aren't the ones you think...

While everyone's obsessing over which energy startup gets the next billion-dollar funding round, the real money is being made by companies that figured out one simple truth:

AI doesn't care about your fancy tech stack. (Proof)

It cares about your operations.

Take Amazon Q Developer.

Take AWS setting up shop in New Zealand.

These aren't sexy AI stories that'll get you clicks on LinkedIn.

But they're the moves that separate the companies cashing seven-figure checks from the ones burning through investor cash like it's Monopoly money.

Here's what the fusion startup fanboys don't get: The companies thriving right now aren't the ones with the flashiest AI demos.

They're the ones that quietly integrated AI into their operations while their competitors were still debating which chatbot to use for customer service.

The AI revolution isn't coming.

It already happened.

And if you're still waiting for the "perfect moment" to start integrating AI across your operations, you're not being strategic.

You're being left behind.

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