Jack Dorsey's Block Lays Off Half Its Employees Because of AI
Originally published in Turkish. Read the original →

Block, led by Jack Dorsey, laid off more than 4,000 employees in a historic downsizing driven by its vision of an AI-first transformation. The tech industry's shift from large teams to small AI-assisted teams is gaining momentum.
Jack Dorsey's Block Lays Off Half Its Employees Because of AI
Block, a giant in the world of financial technology and payment systems, has launched one of the most radical and disruptive restructurings in its history. Led by Jack Dorsey, the former CEO and co-founder of Twitter (X), the company announced a strategic reduction of its workforce, parting ways with more than 4,000 employees. The decision by a firm known for groundbreaking innovation in blockchain and payment infrastructure to cut its global headcount from around 10,000 to under 6,000 hit the tech markets like an earthquake. Yet the core reason behind this radical downsizing is not an economic crisis; it is, quite directly, the "AI Transformation".
1. The Reason Is Openly AI: Dorsey's Vision
Layoff announcements are usually filled with diplomatic, vague phrases such as "increasing operational efficiency" or "adapting to macroeconomic headwinds". Jack Dorsey, however, made it clear in a detailed letter to shareholders and in candid posts on X (formerly Twitter) that the root cause of this decision is the efficiency revolution built on the backbone of AI.
In Dorsey's view, the AI storm is fundamentally changing "what it means to build a company, run it and ship efficient products". Development, testing and deployment processes that once took large departments and hundreds of employees months to complete can now be resolved in seconds thanks to AI agents, automated workflows and advanced language models integrated into the system. Stressing the seriousness of the situation and pointing to this deep corporate evolution, Dorsey said: "I don't think we reached this realization early. I think most companies are still late to this shift in vision. I think within the next year most companies in the tech world will reach the same conclusion we did and will implement structural changes hard." For Dorsey, this is not a passing cost cut but a permanent new industry trend.
2. Market Reaction and the Financial Picture
While a workforce cut this dramatic would normally be expected to send a company's stock tumbling, the reaction from Wall Street and investors was clear and in exactly the opposite direction. Seeing Dorsey's decision as a bold, forward-looking investment in efficiency, the market pushed the company's shares up by as much as 24 percent right after the announcement. This jump is the clearest evidence yet of investors' enormous appetite for tech companies that bring AI into their internal processes.
Block's major subsidiaries, Square, Cash App with its millions of users, and the high-resolution digital music platform Tidal, will also be pulled into this philosophy of working with small AI-assisted teams. Alongside the cost reduction, the company said it has set aside a restructuring fund expected to reach 500 million dollars. According to the report, profitability in Block's quarterly results is in good shape and product demand remains very strong.
The way the layoffs were carried out also shows how seriously the company took its approach. The departing employees were not left to fend for themselves: former US-based employees received a fairly generous package of 20 weeks of base salary, one extra week of pay per year of tenure, six months of full health insurance and 5,000 dollars in transition support. Equivalent regional support packages were arranged for international employees as well.
3. AI's Impact on the Tech Industry
Block's move is far from an isolated event. In fact, it is one of the loudest expressions of a much larger and deepening workforce transformation trend. Meta's boss Mark Zuckerberg, head of another industry giant, had recently described 2026 as a year entirely about "Shrinking and Becoming More Effective". Zuckerberg pointed out that tasks that once took huge teams weeks can now be handled successfully by a single talented engineer using advanced AI tools. AI is reducing the number of people on teams while pushing the "power and speed" of those who remain to near-superhero levels.
Looking at the broader picture, Amazon parted ways with large waves of employees in recent months, first 14,000 and then 16,000. Cloud and search giants such as Meta, Google and Microsoft closed thousands of positions in their offices while investing billions of dollars in AI. According to reports, automation-driven layoffs in the tech sector comfortably exceeded the 30,000 mark in just the first months of 2026.
4. Autonomy in Software and the Danger of Ghost GDP
Among the tools at the center of this sharp change are systems such as Claude Code, which has become very popular with developers, and OpenAI's groundbreaking code generation model Codex. For decades, fetching data, integrating it into the interface (UI/UX), and reviewing and revising code was one of a programmer's hardest and most expensive jobs. Now these AI assistants can test themselves, catch their own errors and optimize.
This fast wave of automation also brings a serious risk to the tech market known as Ghost GDP. When AI allows existing products and services to be produced far more cheaply and with far lower labor costs, the economy can appear to be growing while employment rapidly melts away. This means the quality or quantity of output stays the same while paid human labor drops out of the equation, which further aggravates income inequality.
5. A New Era and the Strategy Ahead
In the current scenario, the example of Dorsey and Block should be seen not as an exception but as "the mandatory company model of the future". The conclusion successful tech leaders have reached is clear: a "hybrid way of working", led by small, agile, highly skilled minds and backed by AI models working autonomously on hundreds of competent tasks, will take over the tech world.
For software developers and technical teams, being able to write code is no longer enough; gaining the orchestration skills to manage these models expertly and moving from being a coworker on the team to an "AI manager" is critically important. The era of companies that are structurally leaner but more muscular in processing capacity than ever before has raised a much harsher and more controversial curtain with Block, and it is clear that, as Dorsey said, others will not be slow to join this caravan.




