Coinbase CEO Fires Engineers for Not Adopting AI Tools Quickly

Coinbase CEO Takes Bold Stand on AI Adoption, Fires Reluctant Engineers
The rapid evolution of artificial intelligence (AI) is reshaping how software engineers work. Coinbase, the leading cryptocurrency exchange, recently made headlines when its CEO, Brian Armstrong, outlined why he dismissed engineers who hesitated to embrace AI coding assistants within the company.
AI Adoption Mandate at Coinbase
In a candid conversation on John Collison’s podcast, “Cheeky Pint,” Armstrong revealed that after Coinbase invested in enterprise licenses for GitHub Copilot and Cursor, he expected immediate traction among the engineering team. While some warned that widespread adoption would take months, Armstrong took a direct approach: he publicly mandated in the company’s main engineering Slack channel that all engineers must onboard with these AI tools by the end of the week.
- Engineers were required to at least set up their AI accounts—even if not using them daily yet.
- A Saturday meeting was scheduled for those who hadn’t onboarded, offering a chance to explain their reasons.
Firing Engineers Who Resisted AI
During the follow-up meeting, some employees provided reasonable explanations, such as returning from vacation. However, those who couldn’t justify their lack of engagement with the AI tools were let go. Armstrong acknowledged that this was a “heavy-handed approach,” and it sparked some discomfort within the company. Nevertheless, the message was clear: in Armstrong’s Coinbase, adapting to AI is not optional.
Company Culture and Ongoing AI Training
Since implementing this policy, Coinbase has doubled down on AI training. The company now hosts monthly sessions where teams share innovative ways they leverage AI in their workflows, encouraging a culture of continuous learning and experimentation.
Balancing AI Benefits and Risks
While there’s little doubt that AI coding assistants can boost productivity and efficiency, there are lingering questions about the long-term management of codebases created with heavy AI input. Podcast host John Collison, co-founder of Stripe, summarized the dilemma: "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." Armstrong agreed, highlighting the ongoing challenges and responsibilities when integrating AI-generated code at scale.
Industry Implications
Coinbase’s aggressive stance signals a broader trend toward mandatory AI adoption in tech-driven companies. As more organizations integrate AI tools into their engineering workflows, employees may increasingly be expected to adapt quickly or risk falling behind. For business leaders, Armstrong’s approach is a bold example of how organizational priorities and culture can be shaped around emerging technologies.