Job Market Deep Freeze: Openings Plunge Over 97% From Peak
A report by Tiger Research reveals that as of June 18, 2026, the crypto industry had only 2,932 active job openings, a staggering decline of more than 97% from the estimated peak of about 130,000 in 2022. Although the cryptocurrency market experienced a rebound in 2023-2024, the recovery of the job market has lagged far behind asset prices. Major exchanges, blockchain protocols, and data service providers have generally frozen or reduced headcount, pushing the industry into a sustained 'tightening phase.'
Wave of Layoffs and Distressed Acquisitions: Notable Firms Sold at Fraction of Valuation
The report specifically notes that the layoff wave continued into the first half of 2026. March was the most concentrated month for layoffs, with multiple companies—including Gemini, Crypto.com, Algorand, OP Labs, PIP Labs, and Messari—announcing workforce reductions simultaneously. Some firms that underwent multiple rounds of layoffs were eventually acquired at distressed prices due to an inability to operate independently. For example, data analytics platform Messari, after three rounds of layoffs, was acquired by Blockworks in June 2026 for approximately $10 million, compared to its previous valuation of $300 million—a mere 1/30th of its peak value, underscoring the brutal nature of industry consolidation.
Structural Shift in Jobs: CEX Dominates, AI Skills Demand Skyrockets
Looking at the structure of job openings, centralized exchange (CEX) positions accounted for the largest share at 30.8% (904 jobs), contributed mainly by OKX, Bybit, and Binance. The stablecoin and payments sector represented 13.4% of openings, but these were heavily concentrated at just two companies: Tether and Ripple; hiring at smaller payment firms has nearly halted. Another critical trend is the rapidly rising demand for AI skills. The proportion of crypto job postings explicitly mentioning artificial intelligence skills surged from 23% in early 2025 to 53.1% in March 2026—more than doubling. This indicates that crypto companies are actively seeking to integrate large language models, automated trading, and on-chain analysis into their core operations to boost efficiency and competitiveness.