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On June 10, the Nikkei 225 index opened down 501.28 points, a decline of 0.77%, at 64915.35 points. The South Korean KOSPI index opened down 208.44 points, a decline of 2.57%, at 7888.49 points. (Jinshi)

On June 10, market data showed that the put options held by Leopold Aschenbrenner's fund, Situational Awareness LP, commonly declined. Among them, the VanEck Semiconductor ETF (SMH) fell by 6.79%, NVIDIA (NVDA) dropped by 2.77%, Oracle (ORCL) decreased by 4.77%, Broadcom (AVGO) fell by 4.6%, AMD dropped by 7.9%, Micron (MU) declined by 6.9%, TSMC fell by 5% on trade.xyz, ASML dropped by 1.9%, and Intel (INTC) decreased by 6.99%. Previously reported by BlockBeats, Situational Awareness LP's Q1 13-F report submitted to the SEC indicated a significant increase in protection or bets against the decline of AI/semiconductor-related assets, particularly in NVIDIA, the VanEck Semiconductor ETF, Broadcom, AMD, TSMC, ASML, and Micron. The value of put options reported in Q1 was approximately $8.459 billion, accounting for about 61.9% of its Q1 13F reported value; while the put options for Q4 2025 were only about $8.91 million.

BlockBeats News, June 10th, Independent macro research and analysis firm Kobeissi Letter released an analysis article stating that the average revenue per employee of the U.S. "Magnificent 7" has risen to about $270,000, reaching a new high in at least three and a half years. Since the beginning of 2023, this metric has increased by about $45,000, a growth of about 20%. During the same period, the average revenue per employee of Russell 2000 small-cap companies has decreased by about $20,500, a decline of about 14%, falling to around $122,000, reaching a new low in at least three and a half years. The remaining 493 S&P 500 component companies have an average revenue per employee of about $195,000. The data shows that the revenue generated by employees of the Magnificent 7 tech giants has exceeded twice that of Russell 2000 companies' employees and is about 38% higher than the average of the remaining S&P 500 companies. This trend reflects the continuous improvement in production efficiency driven by layoffs optimization and revenue growth in large tech companies, while small and medium-sized enterprises have not yet significantly benefited from the efficiency gains brought by AI. Market productivity growth is further concentrating towards top-tier companies.