The Coming Layoffs and the Revenge of the Measurers

It's May 2026 and the layoffs aren't coming. They're here. Meta cut 8,000 this month, roughly 10% of the company, and redirected 7,000 to AI teams. Cloudflare cut 1,100, the first mass layoff in its 16-year history. Tech layoffs have passed 100,000 for the year. The four hyperscalers are planning $725B in AI capex in 2026, up 77% year-over-year. The "they just overhired during COVID and are self correcting" line was the dominant counter-argument presented by your favorite VC influencers . They've quietly stopped saying that now. There's no escaping the reality now. AI is going to wipe out a huge chunk of white-collar jobs. Blue-collar ones will also follow once robotics is solved. Peter Drucker once said: "Because the purpose of business is to create a customer, the business enterprise has two—and only two—basic functions: marketing and innovation. Marketing and innovation produce results; all the rest are costs. Applying this broadly to most firms today you can divide this up into: Cloudflare's CEO Matthew Prince was direct about this in his Wall Street Journal op-ed. The vast majority of those laid off, he wrote, were "measurers": middle management, finance, legal, internal auditing, revenue recognition. To understand why the middle gets cut, you have to understand where complexity in a firm comes from. There are two sources. Product complexity. If you're Gmail serving billions of users, that is a genuinely hard engineering, technical, political, and social problem. Uptime. Abuse prevention. Due process for account suspensions. Government data requests. Edge cases at scale. This complexity is intrinsic to the product and it does not go away. DocuSign employees a ton of people partly for this reason. When you're embedded in billions of dollars of legal workflow, the surface area of things that can break is enormous. Human-to-human complexity. Every person you add to the company is a new node on the social graph. Their own goals, their own incentives, their own emails to be cc'd on, their own resource asks, their own ways to subtly help or hurt morale. Coordination cost scales superlinearly with headcount. Anyone who has worked at a big company knows the productivity per head past a certain threshold is embarrassing. The conventional wisdom used to be that human-to-human complexity was the unavoidable cost of scale. If you wanted to grow past a certain size, you ate it. You built the org chart, you hired the managers and the managers' managers, you accepted that 40% of your headcount existed to coordinate the other 60%. That was the deal. AI is going to eat away at the resources needed to work at a certain product complexity...but its biggest short-term leverage is killing the human-to-human complexity. The coordination tax, the reporting layer, the measurers. Firms get fat for a structural reason. The way you grow inside a company is to manage more people. To manage more people, you need more reports. So every ambitious person has an incentive to hire people they don't strictly need. Multiply that across the org chart for a decade and you get the typical Fortune 500. Companies are now waking up to the fact that AI lets you reverse it. Not all firms can do this at the same speed. The companies cutting hardest right now are disproportionately founder-led. Coinbase. Meta under Zuckerberg. Block under Dorsey. Cloudflare under Prince, still founder-CEO. Founders have the board's trust to make decisions that look brutal in the short term. Hired CEOs do not. A hired CEO cutting 20% of headcount in a single round risks getting fired by a board nervous about optics. A founder cutting 20% writes an op-ed in the Wall Street Journal and gets called brave. This buys the founder-led firms a 12-to-24-month head start. Eventually the playbook flows to the rest. JPMorgan, Citi, the big consultancies, the big insurers, the Fortune 100 industrials. They will all do this. They have to. Once a competitor in your space is running on 40% smaller headcount and growing faster, you cannot afford to keep your measurers. The board will not let you. Your activist investor will not let you. Expect the layoffs to accelerate. A growing pool of formerly overpaid, overqualified workers will scramble for any role they can get, crowding out new entrants behind them. The ones who land something will take it at a fraction of what they used to make. For people whose identity was built around being the smart, well-compensated professional, this is going to be devastating in a way the economic numbers won't fully capture. Startups starting today have an unprecedented structural advantage. They don't have legacy headcount. They don't have a legacy org chart. They don't have the political negotiations involved in firing people, severance costs, WARN Act compliance, or morale fallout. They get to be lean from day one. And so they are probably in the best place to take advantage of this takeoff in agent capabilities. A 5-to-10 pers

The Coming Layoffs and the Revenge of the Measurers

Key takeaways

More in computer-science