Cisco just fired 10,000 people.
Not because they were losing money.
Because they wanted more of it.
Their profit last year? $10.3 billion.
Not struggling. Not failing. Thriving.
And yet, 132,900 tech workers have already lost their jobs in 2024.
That’s 500+ people every single day.
While you’re reading this, someone just got that email.
The excuses are polished. The PR is pristine.
But the pattern? It’s impossible to ignore.
I’ve watched this story unfold for years.
Not only from the sidelines, but from inside the machine.
When everyone else was chanting, “AI will augment us, not replace us,”
Some of us saw the fine print.
Surveys now show 4 in 10 companies admit their layoffs were driven by AI replacement.
But CEOs don’t say that out loud.
They use code words instead:
“We’re reallocating resources to key priorities…”
“Restructuring for greater efficiency…”
“Investing in growth areas…”
Then, buried halfway down the press release:
“…to accelerate our AI initiatives.”
Cisco’s CFO translated it best:
“We’re finding efficiencies so we can pivot more resources into AI.”
Translation?
Your job was the inefficiency.
Many of these workers trained the AI that replaced them.
They debugged it. Optimized it and celebrated its launch.
Then it consumed them.
If you just felt your stomach drop, good.
That means you’re paying attention.
So here’s the math in plain sight:
Savings per replaced role: $90,000/year.
Multiply that across thousands of roles and you get hundreds of millions “freed up” for — you guessed it — more AI.
Five years ago, a Fortune 500 VP told me quietly over coffee:
“We’re not automating tasks.
We’re automating roles.
But we can’t say that publicly.”
That moment stuck with me.
Not because I feared AI.
But because I realized this was a wealth transfer dressed as innovation.
The people creating value would be replaced.
The people extracting value would get richer.
The future wasn’t being built for workers.
It was being built on them.
I use AI every single day.
This isn’t a rebellion against machines.
It’s a rebellion against dependency.
Because the real question isn’t:
“Will AI take jobs?”
It’s:
“When AI takes the job, who gets paid?”
Right now, the answer is shareholders.
But it doesn’t have to be.
Build assets AI enhances, not roles AI replaces.
Here’s how:
1️⃣ Ownership Over Employment
Stop renting your time in a system designed to extract it.
Own something like a business, IP, or brand that compounds.
Example: an engineer quits his $180K job to build a $40K/month info product using AI to create 90% of the content.
2️⃣ Leverage AI as Your Competitive Moat
Use AI to multiply your solo output.
One person + Claude + no-code tools = what used to take a six-person team.
3️⃣ Create Systems, Not Services
AI can code, design, and write.
But it can’t build trust or take responsibility.
Example: consultants using AI to deliver faster while positioning themselves as strategic partners, not task doers.
4️⃣ Build Multiple Income Streams That Scale
If one W-2 paycheck can vanish with a single email, you don’t have security—you have fragile dependence.
Start one digital product, a rental, or an automated consulting funnel.
CEOs won’t admit it, but many have tied layoffs directly to AI expansion.
This isn’t a revolution of opportunity—it’s a revolution of ownership.
The people who own the tools win.
The people who are the tools lose.
So before following Monday:
Open your notes app.
Write this question:
“What do I own that AI makes more valuable?”
Then reply PROOF, and I’ll send you:
• The AI-Proof Asset Checklist (7 income streams AI enhances vs. replaces)
• My Ownership Calculator to see your real runway.
• 3 case studies of people who pivoted before the axe fell.
⚡️ Only the first 10 replies get it before it moves into the paid archive.
Your freedom isn’t in the algorithm.
It’s in what you own.
Until next Monday,
The Workplace Genie
P.S. Cisco’s stock jumped after announcing those layoffs. Wall Street literally rewarded the decision to fire 10,000 people. If that doesn’t tell you whose side the system is on, nothing will.