AI Revolution at Coinbase: New Goal for System Equivalent to 1,200 Employees Surprises Market

Coinbase has taken a revolutionary step in operational efficiency by increasing its AI-powered code generation rate from 40% to 100% in a short period.

Cryptocurrency exchange Coinbase is spearheading a digital transformation that is making waves in the tech world. The company’s Head of Platform, Rob Witoff, revealed in an interview that nearly all internal coding processes are now performed with the support of artificial intelligence and large language models. This development illustrates how the exchange has fundamentally reshaped its software development processes and its commitment to automation in just a few months.

The AI-supported code rate, which stood at approximately 40% in February, has now reached the 95% to 100% range. Witoff noted that most engineers run between 5 and 10 AI agents simultaneously in their daily workflows. These digital assistants are currently delivering performance equivalent to the workload of roughly 1,200 full-time employees, scaling the company’s production capacity to massive levels.

Coinbase’s AI Strategy and 2030 Goals

The company’s operational data clearly shows a parallel increase between AI spending and token usage within the system. The recent rapid rise in both the budget allocated to this technology and the intensity of its usage proves that Coinbase has entirely shifted its technological infrastructure toward this axis. This strategic move provides the exchange with a significant competitive advantage in the industry by increasing operational speed while optimizing cost structures.

Looking toward the future, Coinbase aims for AI agents to reach a capacity of 100,000 employees by 2030. The fact that all employees across the company utilize this technology daily represents the new frontier of automation in the cryptocurrency sector. While setting future standards for human-machine collaboration in the software world, this transformation also serves as a powerful example of how traditional business models will evolve.