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first_img Data: In the first half of 2026, there were only 2,932 active job openings in the cryptocurrency industry, a drop of over 97% compared to the peak in 2022

According to the latest report from Tiger Research, as of June 18, 2026, the number of active job openings in the cryptocurrency industry is only 2,932, a significant decrease of over 97% from the estimated peak of about 130,000 in 2022.The report shows that the wave of layoffs in the cryptocurrency industry continues in the first half of 2026. March was the month with the highest concentration of layoffs, with several companies including Gemini, Crypto.com, Algorand, OP Labs, PIP Labs, and Messari announcing layoffs at the same time. Some companies were acquired at low prices after multiple rounds of layoffs; for example, Messari was acquired by Blockworks for about $10 million in June 2026 after experiencing three rounds of layoffs, while its previous valuation had reached $300 million.In terms of recruitment structure, positions in centralized exchanges (CEX) account for the highest proportion, reaching 30.8% (904 positions), mainly contributed by OKX, Bybit, and Binance. The stablecoin and payment sector accounts for 13.4%, but is highly concentrated in two companies, Tether and Ripple.In addition, the demand for AI skills in job postings continues to rise, with the proportion of cryptocurrency job postings mentioning artificial intelligence skills increasing from 23% in early 2025 to 53.1% in March 2026.

Kimi B's head of the department: There is a bubble in the AI industry, but the fundamentals are solid; the price increase of APIs is due to tight computing power

According to a report by 21 Finance, Huang Zhenxin, the head of Kimi B-end at Moonshot AI, stated in a recent communication meeting that there is indeed a bubble in the current AI industry, but the fundamentals are very solid. Enterprises can now clearly calculate the return on investment (ROI), and the substantial transformation in productivity brought by AI has already occurred.Regarding the recent phenomenon of widespread price increases among model vendors, Huang Zhenxin pointed out that the core reason lies in the rising global computing power costs, and chip production capacity cannot meet the explosive growth in Token demand. He emphasized that evaluating the cost-performance ratio of models should not only look at the unit price of input and output but should also focus on the Cache hit rate. It is reported that Kimi's original factory Cache hit rate has reached over 90%, significantly reducing actual computing costs.In addition, Huang Zhenxin revealed that Kimi will continue to challenge innovations in underlying architecture to sustain the Scaling Law, and its Muon optimizer, which has been validated on a large scale, is now widely adopted by several mainstream large models in the industry. Regarding the "last mile" of enterprise AI implementation, he believes that as the foundational capabilities of models continue to strengthen, the technical paradigms at the application layer will also continue to simplify.

The tech industry is experiencing a wave of AI-driven layoffs, with giants like Oracle and Amazon significantly reducing positions

According to the latest industry reports and corporate disclosure documents, the technology industry is experiencing a large-scale wave of layoffs driven by artificial intelligence (AI) in 2026. Despite several companies achieving record high revenues, major tech giants are intensively restructuring their organizational frameworks to reallocate funds towards AI infrastructure development and to enhance operational efficiency through AI. Data shows that in May of this year, the number of layoffs in the tech industry reached the highest monthly record in years, with AI being the core reason for the layoffs.On the execution level, several leading companies have implemented large-scale personnel reductions. Oracle's latest documents reveal that in the past 12 months, 21,000 employees (approximately 13% of the total workforce) have been laid off due to internal AI technology deployment. Amazon cut 16,000 corporate positions in January this year, with management expecting that the widespread application of generative AI will significantly reduce the demand for traditional roles. While Meta laid off about 8,000 employees, nearly 7,000 were reorganized into core AI business positions. Block significantly reduced its workforce by 4,000, nearly halving its total number of employees to adapt to the flattened operational model brought about by AI tools.Additionally, companies including Cisco (4,000 people), Intuit (3,000 people), Atlassian (1,600 people), Cloudflare (1,100 people), Snap (1,000 people), as well as Coinbase, Salesforce, and others have announced substantial layoff plans related to AI transformation this year. At the same time, although Google, Microsoft, and IBM have not disclosed specific total layoff numbers, they are also continuously advancing rolling job replacements and restructuring linked to AI strategies.
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