AI is triggering a wave of layoffs at crypto companies, with Coinbase saying "the greatest risk is inaction."

Artificial intelligence is becoming the central narrative behind the latest wave of layoffs in the crypto and fintech industries. Coinbase, PayPal, Gemini, and Crypto.com have all cut jobs, citing automation and efficiency improvement as the main drivers. However, critics argue that some companies may be using AI as a cover to mask the real costs of business decline and overexpansion.

According to Bloomberg, Coinbase CEO Brian Armstrong set a tough tone for layoffs this Tuesday, warning that "the biggest risk right now is not taking action," and stating that the company is striving to become a "lean, fast, AI-native" organization. This statement marks a new high for crypto industry executives publicly pushing AI restructuring rhetoric.

The direct impact of this round of layoffs on the market is: the hiring logic of crypto and fintech companies is being restructured. Technical and operational positions face ongoing reductions, and the trend toward flatter management hierarchies is accelerating. Investors need to judge whether this is the precursor to a jump in industry efficiency or just a cycle of contraction packaged with AI.

Block takes the lead, industry follows

According to Bloomberg, the momentum of this wave of layoffs accelerated markedly after Block announced a massive cut in jobs. Block is the parent company of Square and Cash App. Earlier this year, the company announced major layoffs and listed AI as part of its broader restructuring plan. Since then, multiple peer companies have adopted similar statements, describing layoffs as proactive preparation for an AI-driven future.

Coinbase has been especially active in this process. Besides cutting staff, it is flattening its management hierarchy and requires managers to operate as "player-coaches," handling both execution and management roles. Blockchain infrastructure company 0G Labs stated that after its internal AI tools significantly improved productivity, its workforce was reduced by 25%.

"AI whitewashing" doubts arise

Critics are not fully convinced by this narrative. Many companies are facing more direct business pressures: activity in crypto asset trading has clearly cooled, digital asset prices remain below recent highs, and payment companies are struggling with slow growth and intensified competition.

Some companies have their own internal difficulties. Block expanded aggressively during the pandemic boom and accumulated a lot of redundancy; PayPal is still undergoing a comprehensive transformation under new management. These backgrounds have led to accusations of "AI whitewashing" — that is, companies using artificial intelligence as a more respectable excuse to cover up layoffs caused by weak demand or over-hiring.

Needham & Company analyst John Todaro questioned this directly: "Whenever I see these layoffs and AI listed as one of the reasons, I always step back and ask: Do we see this happen in companies that are booming in the market?" He added: "I'm not sure I believe in the AI story."

Two logics coexist, proportions disputed

Some observers think both explanations can be true at the same time. CryptoJobsList founder Raman Shalupau estimates that current layoffs in the industry are "about 80/20 split — 80% are actual AI-driven efficiency gains, and 20% are cutting redundancy from the last bull cycle."

This judgment implies AI is indeed substantively reshaping job structures, but the scale and speed vary by company. Even in firms not undergoing mass layoffs, job functions are being rapidly reorganized around automation tools, with some repetitive work replaced by systems rather than newly hired employees.

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