Block Guts Workforce in AI Push
Jack Dorsey's Block is cutting nearly 4,000 jobs — almost 40% of its staff. Dorsey is framing the move as an aggressive restructuring toward AI-driven efficiency, not just a cost-cutting measure. The layoffs at the company behind Cash App and Square are part of a wider industry trend of workforce realignments as automation reshapes roles.
This isn't a cost-cutting measure tied to poor performance; Block's gross profit grew 17% to over $10 billion in 2025, and the company's stock surged more than 20% after the announcement. Jack Dorsey is framing the move as a fundamental restructuring to create a smaller, more agile company where "intelligence tools" are at the core of operations. The layoffs are the culmination of a series of workforce reductions that began after a period of rapid, pandemic-fueled hiring which saw the company triple its headcount in under four years. Since late 2023, Block has eliminated over 7,000 positions through multiple rounds of cuts, bringing its staff from a peak of roughly 13,000 to just under 6,000. Driving the change is the internal adoption of AI agents, codenamed "Goose." This tool, which started as a coding assistant for engineers, is now being deployed company-wide to automate tasks and workflows. Dorsey's stated goal is to quadruple pre-COVID efficiency, targeting over $2 million in gross profit per employee. While Dorsey's memo did not detail which specific roles were cut, the move aligns with a broader tech trend of AI impacting software development and operations roles. Critics have labeled the strategy "AI-washing," suggesting the narrative is convenient cover for correcting previous over-hiring and strategic missteps, a claim Dorsey has refuted. For aspiring software engineers, this signals a shift in required skills. Proficiency in building with and alongside AI is becoming critical. Resume-building projects should now demonstrate capabilities in AI-native systems, such as developing a full-stack financial dashboard that uses AI for transaction categorization and spending forecasts, or creating a backend real-time fraud detection API using machine learning models. The technical skills in high demand for these new roles in fintech include Python with libraries like TensorFlow and PyTorch, experience with cloud-native architecture on platforms like AWS and Google Cloud, and a deep understanding of data engineering for ML pipelines. This restructuring is a clear bet that smaller, flatter, and more technical teams can outperform larger, more traditionally structured organizations. Departing employees received a generous severance package, including a minimum of 20 weeks of base pay and extended health coverage.
