The cryptocurrency industry is entering an era of total automation, and Coinbase is a prime example. According to my data, the share of code written with the help of artificial intelligence on this exchange has exceeded 95%. This is a colossal leap: as recently as February, the figure was only 40%. Today, neural networks are a daily tool for 100% of the platform's employees.
The degree of AI penetration varies depending on the criticality of the tasks. Prototyping is entirely delegated to algorithms. The development of core systems follows a hybrid model, where humans and machines work in tandem. However, the key area—cryptography—remains under the full control of specialists. Every line of code here is manually verified, with AI serving only as an auxiliary tool for finding vulnerabilities and verifying mathematical calculations. This approach is justified: the cost of a security error is too high.
The implementation of technology has already led to significant restructuring. In May, Coinbase laid off 700 employees (14% of its workforce). As CEO Brian Armstrong stated, the goal is to restore the "speed and focus of a startup" through AI. The cuts primarily affected junior developers, marketers, support staff, and compliance personnel. Now, groups of 2-3 senior specialists handle tasks that previously required the efforts of 10 or more people.
The scale is impressive: today, each Coinbase engineer has between 5 and 10 active AI agents. Collectively, they perform work equivalent to that of 1,200 people. The company's ambitions extend far beyond: by 2030, the number of virtual workers is expected to reach 100,000. This is not just optimization, but a fundamental change in business structure.
The trend is clear: Coinbase is not an exception. Earlier, Snap announced it would replace 1,000 employees with neural networks to save $500 million, and Dune announced a 25% reduction in its workforce. We are witnessing a tectonic shift, where efficiency and speed become the top priority, and the human factor becomes an increasingly expensive resource.
Expert opinion: Coinbase demonstrates that the crypto industry is ready for radical automation faster than traditional fintech. However, the reliance on AI carries risks: excessive dependence on algorithms could lead to systemic vulnerabilities. The key challenge is to maintain a balance between speed and security, especially in the field of cryptography, where every mistake can cost millions.