Coinbase CEO Brian Armstrong just revealed he fired engineers who refused to try AI coding tools after giving them one week to set up GitHub Copilot or Cursor accounts. The crypto exchange's hardline stance signals how seriously companies are taking AI adoption mandates, even when it means terminating employees who won't adapt to new development workflows.
Coinbase CEO Brian Armstrong just dropped a bombshell about his approach to AI adoption that's sending shockwaves through Silicon Valley. Speaking on Stripe co-founder John Collison's podcast "Cheeky Pint," Armstrong revealed he fired engineers who refused to set up AI coding assistant accounts within a week-long deadline. The crypto exchange bought enterprise licenses for GitHub Copilot and Cursor to cover every engineer, but some warned Armstrong that adoption would crawl along for months. That prediction shocked the CEO into action. "I went rogue," Armstrong told Collison during the podcast interview. He posted a mandate directly in the company's main engineering Slack channel with an ultimatum: learn AI tools and onboard by week's end, or explain why during a Saturday meeting. The Saturday showdown revealed the divide between engineers who embraced AI and those dragging their feet. "Some of them had a good reason, because they were just getting back from some trip or something, and some of them didn't [have a good reason]. And they got fired," Armstrong explained. While he admits the "heavy-handed approach" wasn't popular internally, it sent an unmistakable signal that AI adoption isn't optional at Coinbase. The aggressive stance reflects broader industry pressure as AI coding assistants become table stakes for competitive development teams. GitHub Copilot and Cursor represent the most hyped developer tools in years, promising to automate repetitive coding tasks and accelerate software delivery. Armstrong's willingness to terminate engineers over tool adoption reveals how seriously crypto companies are taking AI transformation. Since the ultimatum, has doubled down with monthly AI training sessions where teams share creative use cases and best practices. However, 's Collison raised pointed questions about the long-term implications. "It's clear that it is very helpful to have AI helping you write code. It's not clear how you run an AI-coded code base," Collison commented during their conversation. Armstrong agreed, acknowledging concerns about code quality and maintainability as AI generation scales. The exchange highlights a critical tension emerging across the tech industry. While AI coding tools promise dramatic productivity gains, they also introduce new challenges around code review, debugging, and technical debt management. A that even the AI leader's code repository had become "a bit of a dumping ground" requiring dedicated engineering resources to clean up. Armstrong's firing decision represents the most extreme corporate AI mandate yet reported, going beyond typical adoption incentives to actual termination consequences. The move signals how competitive pressures around AI development are reshaping workplace expectations across Silicon Valley, particularly in fast-moving sectors like cryptocurrency where technological edge determines market position.
