Cisco just reported its highest revenue ever. Then immediately announced 4,000 layoffs.

Let that contradiction settle for a moment.

This is the AI layoff pattern crystallizing in real time: record profits, workforce reductions, and vague promises that AI will fill the gap. The question nobody's answering is: if revenue is at an all-time high, who exactly is this "restructuring" for?

Not shareholders. They already won. Cisco's stock is up. Revenue is up. The company is performing better than ever by every traditional business metric.

So who benefits from cutting 4,000 people?

Cisco's official statement mentions "AI investment" and "strategic realignment." These are the corporate euphemisms of 2026. What they actually mean is: we think AI can do these jobs cheaper.

Maybe they're right. Maybe AI can handle tier-one support tickets. Maybe it can automate parts of network configuration. Maybe it can write code faster than junior engineers.

But here's what the numbers show: Cisco isn't struggling. They're thriving. This isn't a company cutting staff to survive. This is a company cutting staff to increase margins while demand is high.

On Reddit, the response has been blunt. One highly-upvoted comment: "Record revenue means record demand for your products. How do you meet record demand with fewer people? You don't. You offshore it or you AI it, and quality drops."

That's the gamble Cisco is making. And they're not alone.

Meta cut 10% of its workforce while posting record profits and investing billions in AI. Google, Microsoft, Amazon all following the same playbook. Tech companies aren't laying people off because they're failing. They're laying people off because they can.

AI is the excuse, but it's not the reason. The reason is that labor costs are the biggest line item on tech balance sheets, and Wall Street rewards companies that reduce them.

Here's the part that worries me: we're about to find out if these companies are right. Can you maintain product quality, customer service, and innovation with significantly fewer people and a lot more AI?

Maybe. The technology is genuinely impressive. AI can augment human work in meaningful ways. I use it daily. It makes me more productive.

But replacing 4,000 people at a networking infrastructure company? That's not augmentation. That's a bet that AI can do the job without the institutional knowledge, judgment, and relationships those employees built.

Cisco has been around since 1984. They built the Internet's backbone. They know networking better than almost anyone. That expertise lives in their people, not their AI models.

What happens when those people are gone?

We'll find out. Because Cisco just made that bet. And every other tech company is watching to see if it pays off. If it does, expect more of this. If it doesn't, 4,000 people will have lost their jobs for a failed experiment in cost-cutting disguised as innovation.

The technology is impressive. The question is whether anyone needs it, or whether companies are just using "AI" as cover for doing what they wanted to do anyway: pay fewer people while making more money.

Cisco's leadership will tell you this is about the future. About staying competitive. About investing in next-generation technology.

But when you're posting record revenue and cutting thousands of jobs in the same breath, it's hard not to hear that as: we found a way to make more money with fewer humans, and we're taking it.