Block Just Cut 40% of Its Workforce Because of AI. Here’s What That Means for Meeting Costs.
In late February 2026, Jack Dorsey dropped a bomb on the tech world. Block โ the parent company of Square, Cash App, and Afterpay โ announced it was cutting approximately 4,000 employees, reducing its workforce from over 10,000 to just under 6,000. That’s a 40% reduction, one of the largest AI-attributed layoffs in corporate history.
Dorsey was blunt about the reason. In his letter to shareholders, he wrote that “intelligence tools have changed what it means to build and run a company” and that “a significantly smaller team, using the tools we’re building, can do more and do it better.” He predicted that within the next year, the majority of companies would reach the same conclusion and make similar structural changes.
The stock market rewarded the move immediately โ Block shares surged roughly 14% in the weeks following the announcement. But beyond the headlines about AI replacing jobs, there’s a less-discussed dimension of this shift that has enormous implications for workplace productivity: what happens to meeting culture when your company gets 40% smaller overnight?
Fewer People, Fewer Meetings โ Right?
In theory, cutting headcount should automatically reduce meeting volume. Fewer people means fewer calendars to coordinate, fewer cross-functional syncs, fewer status updates, and smaller attendance lists. The meeting problem should partially solve itself.
In practice, the opposite often happens.
When organizations shrink rapidly, the remaining employees absorb the responsibilities of those who left. Roles that used to be handled by dedicated individuals get spread across the surviving team. This creates coordination complexity โ more handoffs, more ambiguity about ownership, more need to “align” on who’s doing what.
The result is often more meetings, not fewer. The survivors need to figure out new workflows, redistribute tasks, establish new communication channels, and fill the knowledge gaps left by departing colleagues. In the short term, meetings multiply as the organization scrambles to restabilize.
Research on post-layoff organizational behavior confirms this pattern. When companies reduce headcount without simultaneously redesigning their communication and decision-making processes, the meeting load per employee actually increases because each remaining person is involved in more cross-functional touchpoints.
The Hidden Meeting Cost of Layoffs
Here’s the math that most layoff announcements don’t account for.
Before the cuts, Block had roughly 10,000 employees. Using the industry average from Flowtrace, those employees spent approximately 392 hours per year each in meetings. At an average salary of $90,000 (conservative for a tech company), that’s roughly $17 per hour per person, or about $6,664 per employee per year in meeting costs โ totaling approximately $66.6 million per year company-wide on meeting time.
After cutting to 6,000 employees, you might expect that number to drop proportionally to $40 million. But if each remaining employee is now in more meetings due to increased coordination needs โ say, 20% more meeting time โ the per-person cost rises to $8,000, and the company-wide total actually stays around $48 million. The savings are far less dramatic than headcount alone would suggest.
The real danger is that the employees who remain are the ones Dorsey is counting on to be more productive. If their calendars fill with coordination meetings to cover for the people who left, the entire premise of “smaller teams doing more with AI” collapses under the weight of the same meeting culture, just with fewer people bearing it.
What Dorsey Got Right โ And What’s Missing
To his credit, Dorsey appears to understand part of this dynamic. Block previously declared Tuesdays a company-wide no-meeting day, and Dorsey has publicly stated his belief in protecting focus time. He’s also mandated that every Block employee use AI tools daily, with AI fluency built into performance evaluations.
The internal AI tool, called Goose, has already shown results. Block’s CFO noted a greater than 40% increase in production code shipped per engineer since September โ a meaningful productivity gain that suggests the AI investment is paying off in at least some areas.
But productivity gains from AI coding tools are different from productivity gains in how humans coordinate. You can use AI to write code faster, but you can’t use AI to eliminate the need for humans to align on what to build, who’s responsible for what, and how different workstreams connect. Those coordination conversations are where meetings live โ and they’re the ones most likely to multiply after a massive reduction in force.
What’s missing from Dorsey’s public communication is a meeting strategy. He’s talked about AI replacing work, but he hasn’t publicly addressed how a 6,000-person company should communicate differently from a 10,000-person one. Without explicit meeting culture reform โ async-first defaults, strict calendar hygiene, protected focus blocks โ the smaller company risks drowning in the same meeting problems at a higher per-person intensity.
The Lesson for Every Company
Block’s story is going to play out across the tech industry and beyond. Dorsey himself predicted that most companies will make similar cuts within the next year. Whether or not that prediction holds, the underlying trend is clear: organizations are trying to do more with fewer people, and AI is the tool they’re betting on to close the gap.
But here’s the critical insight that most of these companies will miss: reducing headcount without reducing meeting load doesn’t make people more productive. It makes them more overloaded. If the remaining employees spend 15-20 hours per week in meetings โ which is already the average for managers, according to Flowtrace data โ then there simply aren’t enough hours in the day for the “more output with fewer people” equation to work.
The companies that will actually succeed in the smaller-team, AI-augmented model are the ones that reform their meeting culture simultaneously with their headcount. That means defaulting to async communication, ruthlessly auditing every recurring meeting, shortening meeting durations, shrinking attendance lists, and making the cost of every meeting visible.
Tools like Meeting Price Tag exist precisely for this moment. When your company is asking fewer people to do more, every wasted hour in an unnecessary meeting isn’t just an annoyance โ it’s a direct threat to the company’s ability to execute on its strategy. Making that cost visible, in real-time salary dollars, is the fastest way to change behavior.
The $2 Million Target
Dorsey set an ambitious financial target for the restructured Block: $2 million or more in gross profit per employee, compared to roughly $500,000 per employee from 2019 to 2024. That’s a 4x improvement in output per person.
Achieving that kind of per-employee productivity requires maximizing the value of every working hour. If each employee spends even 10 hours per week in meetings (the low end for many tech companies), that’s 25% of their work week consumed by synchronous communication. At $2 million in gross profit per employee, every meeting hour has an opportunity cost of roughly $960.
Put differently: a one-hour meeting with five Block employees at the target productivity level has an opportunity cost of nearly $5,000 โ not in salary, but in lost productive output. At that level, every meeting needs to earn its place on the calendar.
Dorsey’s bet on AI and smaller teams is bold, and the early financial results are promising. But without an equally bold approach to meeting culture, the very efficiency gains he’s pursuing will leak away through the cracks of an unreformed calendar.
The most expensive meeting at Block isn’t the one that costs the most in salary. It’s the one that prevents a $2-million-per-person team from reaching that target.