Bear Market Impact on Crypto Industry: Multiple Companies Accelerate Layoffs, AI Transformation Becomes Core Driver

Gate News, March 23 — The ongoing bear market combined with global economic uncertainty has forced many cryptocurrency companies to lay off staff and delay projects. Algorand announced a 25% reduction in workforce this week, citing the need to respond to “uncertainty in the global macro environment and the downturn in the crypto market.” Bitcoin has been under pressure since dropping to $63,000 at the end of February, lacking upward momentum.

A certain CEX laid off 12% of its staff yesterday, citing a shift toward artificial intelligence (AI) in its business. CEO Kris Marszalek stated that some positions no longer fit the new business model. Another CEX also laid off 25% of its employees in February, including senior management, to leverage AI for improving team efficiency. After the appointment of new CEO Diran Li, Messari announced layoffs of some team members to further focus on AI development.

OP Labs cut 20 employees and hinted at transforming into an AI-driven decision-making model. CEO Jing Wang pointed out that the company will focus on lean operations to make faster decisions and reduce coordination costs. Previously, Block announced layoffs of about 50% of its staff (around 4,000 employees), claiming that AI could significantly improve work efficiency and making it one of the most notable industry transformation cases.

Additionally, NFT platform OpenSea delayed the launch of its $SEA token due to the “challenging” crypto market environment. Kraken also paused its initial public offering (IPO) plans until market conditions improve. Analysts note that layoffs not only impact company reputation but also increase the workload for remaining employees, though AI applications have somewhat alleviated the pressure caused by staff reductions.

This wave of layoffs indicates that the crypto industry is undergoing structural adjustments, with AI gradually becoming an essential tool for optimizing operations and increasing efficiency. It also reflects the market’s high sensitivity to costs and productivity during a bear market.