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Coinbase Slashes 14% Workforce as AI Reshapes Company

As part of these changes, Coinbase's organization will be flattened to a maximum of five layers beneath the CEO.

building of coinbase exchange

Coinbase has announced a 14% cut to its workforce in a bold move to adapt to market swings and embrace artificial intelligence. The layoffs will affect about 700 employees, as the firm seeks to streamline operations and improve efficiency amid changing market conditions.

Chief executive Brian Armstrong announced the reduction in a detailed message to all Coinbase employees. 

The exchange says it remains financially strong and focused on long-term growth, despite the cuts.

Coinbase Embraces AI-Native Future Amid Tough Cuts

Armstrong cited two main reasons for the decision. First, the unpredictable nature of the crypto market, which continues to experience ups and downs, despite its strong long-term potential in areas such as stablecoins and tokenization.

Second, and more significantly, is the rapid rise of AI, which enables engineers to complete tasks in days instead of weeks. Non-technical staff can now also contribute code, and many processes are becoming automated. Part of these changes includes flattening the organization to a maximum of five layers below the CEO. 

Leaders will now be expected to act as player-coaches, engaging directly with their teams in addition to their management responsibilities. Additionally, teams will be reorganized into smaller, AI-driven pods, where individuals may take on multiple roles with support from AI agents.

Will AI Take Over Crypto Jobs?

Armstrong expressed gratitude to departing colleagues for their hard work and offered generous severance packages that include at least 16 weeks of pay and benefits. He, however, emphasized that the mission of achieving economic freedom remains unchanged.

Coinbase’s layoffs are part of a broader trend in the crypto industry, where many companies are cutting jobs while accelerating the adoption of artificial intelligence (AI). Some projects have even exited the crypto mining sector entirely to focus on AI. For instance, earlier this year, the prominent Bitcoin mining company Cango Inc. sold 4,451 BTC to shift its focus toward building AI computing infrastructure.

As this trend continues, workers are compelled to adapt by learning to use AI tools and developing skills that machines cannot easily replicate. Meanwhile, experts suggest that success in this evolving job market will depend on cultivating expertise in areas such as security, critical thinking, and system design, while collaborating with AI rather than competing against it.

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Ephraim Emmanuel