GM Just Fired 600 People. Your Job Is Next. Here's What To Do Before It Happens To You.
GM just fired 600 people — not because they failed. Because they became irrelevant.
Same day they sent those termination emails? They posted 80 new job openings. For AI-native development. Prompt engineering. Agent and model design.
They didn't cut costs. They cut the past.
And here's the number that should stop you cold: AI-related layoffs have jumped from 12% of all job cuts last spring — to over 30% right now. This isn't a GM story. This is a warning shot.
In this episode, Carlos Inspire breaks down what really happened, what it means for your career, and the one shift that separates the people doing the hiring from the people getting the 15-minute Zoom call.
Tenure won't protect you. Loyalty won't protect you. Relevance will.
This is your immigrant moment.
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GM just fired 600 people. Not because they were lazy. Not because they missed quota. Not because they caused problems. Because their skills became the wrong skills.
GM — one of the most profitable companies in America right now — posted a 40% earnings beat. Raised their guidance. More money than ever coming in. And still fired 600 people.
That should terrify you. Not because GM is evil. Because every company is watching GM right now, and asking themselves the same question: "Who on our team became the wrong person for the future we're building?"
Real quick, before we go deeper. I want to give a shoutout to a company my wife and I own. And what we do changes lives.
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DisruptorsCode.com. Everything is in the show notes.
Now, let's get into today's episode.
I want to tell you what GM actually did.
They didn't announce a cost cut. They announced a skills swap.
They looked at 600 people — people with years of experience, corporate badges, and health insurance — and said: "Your skills belong to a world that no longer exists."
And the same day they sent those termination emails, they posted 80 open IT positions. For AI-native development. Data engineering. Prompt engineering. Agent and model development.
Let me say that again so it lands: they fired the past. And immediately started hiring the future.
Does this make sense?
Because here's the part that nobody's saying out loud. This isn't a GM story. This is a warning shot.
Amazon did it. Meta did it. Oracle did it.
And here's the stat that should wake up every person listening right now: the share of layoffs explicitly tied to AI restructuring has climbed from 12% of announcements last spring to over 30% right now.
30 percent. And it's not slowing down. It's accelerating.
Here's the reframe.
Most people are going to hear this story and feel one of two things. Fear. Or denial.
"That won't happen to me." "My company values loyalty." "I've been here 12 years."
You know what GM gave their 12-year employees? Six months of severance. Six months. And a scripted 15-minute Zoom call. No questions. No appreciation. No empathy.
Tenure is not a shield. It never was.
You know what I learned selling bread on the streets of Brazil as a seven-year-old? Presence. Not product knowledge. Not credentials. Presence. The ability to make someone feel — right now, in this moment — that you are exactly who they need.
That principle didn't just apply to bread. It applied when I landed in America at 18 with no English and no connections. It applied when I ranked #1 nationally at Comcast, out of thousands. It applied on the stage in front of thousands of executives.
Relevance is presence. And presence is a daily decision.
The question you want to ask yourself right now is this: am I building with AI, or am I just using it to look busy?
Because GM isn't looking for people who used AI as a productivity shortcut. They're looking for people who know how to build with it from the ground up.
There is a difference. And the difference is everything.
Here's my challenge to you.
Don't wait for the 15-minute Zoom call. Don't wait for the scripted HR message. Don't wait for the ominous calendar invite with no agenda.
Go learn something this week that makes you harder to replace. Not AI in theory. AI in practice.
Build an agent. Automate one workflow. Learn to prompt at a level that makes the people around you stop and ask, "How did you do that?"
You know who never gets the skills swap? The person who already made the swap before the company asked them to.
The immigrant doesn't wait to be invited to the future. The immigrant builds the future while everyone else is still debating whether it's real.
You didn't come this far, work this hard, build this much, to become the wrong person in a 15-minute call.
You know the drill, the days that break us are truly the days that make us.