Block Just Cut Half Its Staff. Here's What That Means.

Jack Dorsey's Block just laid off 4,000 people—nearly half its workforce. The company isn't failing. Revenue is growing. Profits are improving. And that's exactly what makes this terrifying.

In a memo that went out to employees, Dorsey was direct about why: "We're already seeing that the intelligence tools we're creating and using paired with smaller and flatter teams are enabling a new way of working which fundamentally changes what it means to build and run a company."

Translation: AI means we don't need this many people anymore.

What's Actually Happening Here

Block operates Square, Cash App, Afterpay, and Tidal. These aren't startups figuring things out—they're established products processing billions in transactions. The code could theoretically be rewritten by AI in days, but that's not what matters. The partnerships with credit card companies, the financial infrastructure, the licensing deals with artists—that stuff can't be vibe-coded into existence.

And yet Dorsey is still making this call. That tells you something about the magnitude of what's shifting.

Software engineer and YouTuber Theo (who runs the channel t3.gg) has been tracking this shift in real-time, and his recent breakdown of the Block layoffs connected it to something he's been experiencing firsthand. He built a competitor to Frame.io—a video review platform that Adobe acquired for $1.3 billion—in two weeks. Part-time. Without writing a single line of code himself.

The product is called Lawn, and according to Theo, it's faster and more intuitive than the thing it's replacing. He didn't assemble a team. He didn't raise funding. He described what he wanted to an AI, refined the structure, and shipped it. The app loads instantly, handles video streaming smoothly, and does everything he needed Frame.io to do but couldn't.

"Frame.io took them years to build," Theo notes in the video. "I was able to replicate the majority of the functionality part-time in an app that genuinely feels better to use in 2 weeks. Everything has changed."

This isn't a hypothetical disruption scenario anymore. It's already happening.

The Moat Question

Here's where it gets complicated: not all software is equally vulnerable.

Block's products have moats that extend beyond code. You can't just clone Cash App and expect Visa to work with you. You can't replicate Tidal's music library without negotiating with every major label. The infrastructure, the partnerships, the regulatory compliance—these things take years and relationships to build.

But if your entire product is just code? If the value proposition is purely technical execution? That's a different situation entirely.

Theo makes this point explicitly: "Anybody whose product is built entirely on top of code, they're a little bit screwed." The SaaS tools, the productivity apps, the internal dashboards—anything that's fundamentally a code problem can now be solved by someone with good product sense and access to Claude or GPT-4.

The speed matters more than you'd think. Ideas used to be cheap because execution was hard. Now execution is cheap, which somehow makes ideas both more and less valuable simultaneously. A novel concept can reach market in days, but so can ten clones of it.

What the Severance Package Reveals

Dorsey's severance package is actually pretty generous: 20 weeks of salary, plus an additional week per year of tenure, equity vested through May, six months of healthcare, corporate devices, and $5,000 cash.

The structure is worth examining because it shows who gets hit hardest. The 20 weeks helps high earners. The tenure bonus helps long-term employees. The equity matters for senior engineers. But the $5,000 flat payment and keeping the laptop? Those are lifelines for lower-paid workers who might only clear $30K annually.

Theo breaks down why this matters: "If you're making 300K a year, the 20 weeks is going to give you a lot of money. But if you're like a support person that's doing 30K a year, your 20 weeks is only going to be a few thousand. So an extra 5K on top is a huge benefit to people who are lower income."

The other detail that stands out: everyone finds out their status immediately. No waiting, no prolonged uncertainty. Theo has seen layoffs handled badly enough to appreciate this: "I've seen this done so wrong where people didn't know what side they were on and then the next day were still stressed and the demoralization over time was horrifying."

The Build-It-Yourself Threshold

Something else is shifting that doesn't fit neatly into the AI narrative: the economics of just building your own solution.

Theo used to spend significant time trying to convince companies to fix broken features or add functionality he needed. Now he doesn't bother. When a company building a GUI for CLI tools told him they were "a cloud house" and didn't care about codec support, he built his own tool instead. That's T3 Code, which he now uses for all his AI-assisted development.

"It's not worth trying to convince somebody when I can just out-build them now," he says. "Like, everything's changed from that alone."

This creates a weird dynamic where every frustrated user is potentially a competitor. The barrier to "fine, I'll do it myself" has collapsed. That changes customer retention, competitive dynamics, and how much patience anyone has for mediocre products.

The Things AI Can't Replace (Yet)

Let's be clear about what AI tools are actually doing. They're writing code, catching bugs, implementing features, and handling a lot of the mechanical work of software development. What they're not doing is making strategic product decisions, understanding user needs, or navigating the political and business contexts that determine what gets built.

Theo's success with Lawn isn't just because AI can write React components. It's because he understands video workflows, knows what Frame.io gets wrong, and can architect a data loading strategy that makes the app feel instant. The AI executed his vision—it didn't create the vision.

But that distinction might not matter much to the 4,000 people who just lost their jobs at Block. If smaller teams augmented with AI can maintain and extend these products, the industry doesn't need as many engineers.

What Dorsey Is Actually Betting On

There's another line in Dorsey's memo worth sitting with: "A smaller company also gives us the space to grow our business in the right way on our own terms instead of constantly reacting to market pressures."

This is partially about AI efficiency, but it's also about a particular theory of how companies should work. Smaller, more focused, less bureaucratic. The AI tools are the excuse, but they're also enabling a different organizational philosophy.

Whether this works—whether Block can actually operate better with half the staff—is an open question. But Dorsey's willing to find out. And because Block is profitable and growing, he has the runway to try.

The rest of the industry is watching. If this works, expect a wave of similar "we're profitable but restructuring anyway" layoffs. If it doesn't, we'll hear about it when Block starts hiring again in 2026.

For now, though, we're in the experiment phase. The meme about AI taking developer jobs has been circulating for years. The difference is that this time, profitable companies are making decisions as if it's actually true.

—Zara Chen