💸 Trillions Spent Thousands Fired

I need to tell you something uncomfortable.

On Monday, November 3rd, OpenAI signed a $38 billion deal with Amazon — the biggest AI infrastructure contract in history. The same day, Meta's stock crashed 11%, erasing over $200 billion in market value because investors are tired of waiting for AI to make money.

And last month? October 2025 saw the highest layoff numbers in 22 years — with companies explicitly citing AI automation as the reason.

Let that sink in for a second. 💭

Tech companies are spending trillions to build AI infrastructure while simultaneously firing thousands because AI is "replacing" them.

Welcome to the AI paradox. And today, I'm going to show you exactly what's happening, why it matters for your career, and what you need to do about it right now.

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November 3, 2025: OpenAI announced a seven-year, $38 billion partnership with Amazon Web Services. This is OpenAI's first major move away from Microsoft exclusivity, giving them access to hundreds of thousands of Nvidia GPUs to power ChatGPT and train future models.

Here's the scale we're talking about:

OpenAI's AWS commitment over 7 years
Immediate access to 500K+ Nvidia chips

But OpenAI isn't alone.

When Meta announced its increased AI spending on their earnings call, the market's response was brutal:

Meta stock drop in one day
$200+ billion in market cap erased
Steepest fall since 2022

The question every analyst kept asking Mark Zuckerberg: "When will AI actually make money?"

Translation: They're spending billions but have no clear product or revenue timeline.

Even Sam Altman admitted in August that investors are "overexcited about AI" — though he still believes it's "the most important thing to happen in a very long time."

Here's what nobody's saying clearly: This looks exactly like the dot-com bubble of the late 1990s. Massive infrastructure spending, sky-high valuations, unconventional financing... and no proven path to profitability.

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While companies throw billions at AI infrastructure, October 2025 recorded the highest layoff levels in 22 years.

And for the first time, companies aren't hiding behind corporate speak like "restructuring" or "realignment." They're saying it explicitly:

Amazon CEO Andy Jassy: Openly stated the company will rely on AI agents to replace 14,000 corporate workers. Not "efficiency gains." Explicit automation displacement.

Meta: Laid off 600 employeesin its AI division while simultaneously announcing increased AI spending. Also cutting jobs in risk/compliance by automating reviews with AI.

Salesforce: Cut 4,000 customer support roles in September because of AI's "benefits and efficiencies."

JPMorgan Chase & Goldman Sachs: Both pitching AI projects to "bolster profitability while slowing headcount growth."

On November 6th, Trump's AI czar David Sacks made it crystal clear: "No federal bailout for AI."

This came right after OpenAI CFO Sarah Friar mentioned potential federal backstops. Sacks shut that down immediately.

What this means: If you lose your job to AI automation, you're on your own. There's no government safety net being planned.

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Remember my newsletter from October 9th? The one where I showed you how I built a complete app in 20 minutes using Bolt.new?

I wrote:

That newsletter was exciting. It showed you the future of creation — how anyone could build software with just prompts.

This is the other side of that story.

Every junior developer who would have been hired to build that "simple content tracker"? They didn't get that job.

Every mid-level engineer who would have spent 2 weeks building it? That's 2 weeks of billable hours gone.

The tools I showed you — Bolt.new, Claude Code, Replit Agent, Cursor — they're not just "productivity enhancers." They're job eliminators.

Collins Dictionary just named "Vibe Coding" as one of the words of the year for 2025. That's how fast this shift is happening — it's literally changing our language.

But here's what the dictionary definition won't tell you:

I'm not saying this to scare you. I'm saying it because it's true, and someone needs to be honest about it.

Here's the insane contradiction:

Companies spending TRILLIONS on AI infrastructure
+
Firing THOUSANDS because "AI is cheaper"
=
An industry betting everything on a technology that hasn't proven it can be profitable

If AI is so revolutionary, why are companies cutting costs instead of growing revenue?

If AI is going to "unlock trillions in economic value," why is Wall Street punishing companies for AI spending?

If AI is the future, why does theFederal Reserve Chair Jerome Powell need to reassure investors that "these companies actually have earnings" and "it's really a different thing" from the dot-com bubble?

The truth? Nobody actually knows if this works yet.

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Okay, enough doom and gloom. You came here for practical advice, so let's talk about what you can actually do about this.

USC researchers created an "AI exposure" metricthat measures how closely your job is tied to current AI capabilities. You need to honestly assess where you stand.

High AI Exposure (Immediate Risk):

Medium AI Exposure (1-2 Year Risk):

Low AI Exposure (Safer, For Now):

Don't compete with AI. Become the expert at using AI better than everyone else.

Real example: Instead of being a junior developer, become the person who can build entire systems using Claude Code, Bolt.new, and Cursor — but with the judgment to know when AI's output is wrong.

The AI transition is creating two clear paths:

What won't work: Pretending this isn't happening and hoping your job is safe.

Don't wait until you're laid off to figure out your next move.

Your 30-Day Plan:

This does two things:

If your company starts doing these things, start looking:

Don't wait for the layoff announcement. Start your transition now while you still have a paycheck.

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Here's what I think is going to happen:

The bubble will pop. OpenAI's $38 billion AWS deal, Meta's $600 billion spending spree, the trillion-dollar infrastructure buildout — some of this is going to fail spectacularly. Companies will run out of money. Valuations will crash. It'll make 2000 look tame.

But AI itself isn't going away.

Just like the dot-com crash killed hundreds of companies but gave us Amazon, Google, and the internet we use today — the AI bubble will burst, but the technology will survive and eventually transform everything.

The question is: Will you survive the transition?

I showed you vibe coding because I believe in its power. But I'm showing you this because I believe in yours.

You're not powerless. You're reading this newsletter, which means you're already paying attention. That puts you ahead of 95% of people who are ignoring this.

The paradox is real: Trillions being spent, thousands being fired, and nobody really knows how this ends.

But your response doesn't have to be paradoxical. It can be clear, strategic, and intentional.

Start today. Build something. Learn a tool. Share your knowledge. Position yourself.

Because the AI revolution is happening whether we're ready or not.

Let's make sure you're ready.

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Which path are you choosing?

Hit reply and let me know:

I read every response. Seriously.

To your unfair advantage,
Dan Rice from AI Signal