2 min read

Don't Blame the AI For Layoffs: Blame the Companies That Handed It the Keys

Don't Blame the AI For Layoffs: Blame the Companies That Handed It the Keys
Don't Blame the AI For Layoffs: Blame the Companies That Handed It the Keys
4:27

92,000 jobs lost in February. Unemployment at 4.4%. And everyone's pointing at artificial intelligence like it showed up uninvited.

It didn't. We let it in, handed it the hiring process, and walked away. The problem was never the technology. It's the breathtaking lack of judgment behind how companies chose to deploy it.

AI Didn't Break Hiring. Lazy Hiring Broke Hiring.

Let's be precise about what's actually happening. Job seekers use AI to generate resumes. Companies use AI to screen those resumes. AI selects the AI-written ones. Humans come in for interviews. Nobody's qualified. Everyone's confused.

This is not an AI failure. This is a process failure wearing AI's clothes.

The resume screen was already a deeply flawed proxy for human potential before large language models existed. Keyword filters, ATS black holes, and arbitrary degree requirements — hiring has been optimizing for the wrong signals for decades. AI didn't create that problem. It industrialized it, running the same broken logic at a speed and scale that makes the dysfunction impossible to ignore.

RedBalloon CEO Andrew Crapuchettes said it himself: "A perfect resume and a perfect employee are not the same thing." Correct. So why are companies building automated pipelines that treat the resume as the only signal that matters — and then expressing surprise when the pipeline surfaces the wrong people?

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The Productivity Argument Deserves More Scrutiny Than It's Getting

Crapuchettes also admits that AI tripled his engineering output without adding headcount. He frames this as a win. In pure efficiency terms, it is. But efficiency and wisdom are not synonyms, and the business world keeps conflating them.

When every company simultaneously compresses its teams on the assumption that AI covers the gap, the macroeconomic math stops working. Those unmade hires represent unmade salaries, unmade spending, and unmade economic activity. The productivity gains sit at the firm level. The costs are distributed across the labor market, the social safety net, and the communities that depend on employment as an organizing principle.

That's not an argument against AI-augmented productivity. It's an argument for companies taking the externalities of decisions seriously, as they're currently making purely on internal ROI. Most aren't. Most are moving fast and calling it innovation.

"Become AI-Enabled or Become Unfireable" Is Advice. It's Also a Symptom.

The recommended response to all of this, per Crapuchettes, is for workers across every sector to become fluent in AI tools or risk irrelevance. That's practically sound. It's also worth naming for what it is: we have built a system where the people most harmed by irresponsible AI deployment are now responsible for adapting to it on their own time, at their own expense, with no guarantee it's enough.

Construction workers. Truck drivers. Administrative professionals. We're telling them to learn prompt engineering as job security. The cognitive dissonance in that sentence should give us pause.

The companies doing this responsibly — and they exist — are using AI to remove friction from work people hate doing, while keeping human judgment firmly in the loop on decisions that affect people's lives and livelihoods. They're treating AI as a tool with a specific job, not a replacement for organizational thinking.

What Growth Teams Should Actually Take From This

For marketing and growth leaders, the lesson isn't to slow down AI adoption. It's to be ruthlessly honest about where you're deploying it and why.

Using AI to draft first-pass content, synthesize research, or automate reporting? High leverage, low risk. Using AI to make consequential decisions about people — who gets hired, who gets a callback, whose application gets seen — without meaningful human review? That's where the liability lives, reputationally and operationally.

The best-run AI-integrated marketing teams we've seen aren't the ones using the most AI. They're the ones who were most deliberate about where human judgment remains non-negotiable.

The technology is not the villain here. The abdication of responsibility is.

If you want to build AI into your growth operations in ways that create real leverage without creating real damage, Winsome Marketing's strategists are ready to help you think it through.

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