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[Next Week's Earnings Calendar] The Q3 earnings season remains intense. Pay attention to the earnings reports of Nvidia (NVDA.O), Tencent Holdings (00700.HK), Alibaba (09988.HK), JD.com (09618.HK), Xiaomi Group (01810.HK), Baidu (09888.HK), and Pindu

2026-11-13

[Next Week's Earnings Calendar] The Q3 earnings season remains intense. Pay attention to the earnings reports of Nvidia (NVDA.O), Tencent Holdings (00700.HK), Alibaba (09988.HK), JD.com (09618.HK), Xiaomi Group (01810.HK), Baidu (09888.HK), and Pinduoduo (PDD.O) next week. On the economic data front, China's one-year loan prime rate as of November 20th and the final reading of the University of Michigan Consumer Sentiment Index for November in the United States will be released next week. In addition, the State Council Information Office will hold a press conference on the national economic situation; Hang Seng Indexes Company will announce the results of its third-quarter review; the Federal Reserve will release the minutes of its monetary policy meeting; and Nvidia's interim CEO will hold an all-staff meeting. Please stay tuned. For the complete earnings calendar, please check the calendar section of the US-Hong Kong Telecom APP. Click to view...

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2026-11-12

Spot gold fell below $3,880/oz, down 2.70% intraday.

Spot gold fell below $3,880/oz, down 2.70% intraday.
2026-11-13

A report titled "The Current State of Enterprise AI Agents" released by the AI agent platform Dock shows that, in enterprise agent activities observed from October 1st to November 5th, 2026, 49.5% of work was triggered by pre-set routine tasks, 33.9%

A report titled "The Current State of Enterprise AI Agents" released by the AI agent platform Dock shows that, in enterprise agent activities observed from October 1st to November 5th, 2026, 49.5% of work was triggered by pre-set routine tasks, 33.9% came from task handover from other agents, only 13.3% was initiated by humans sending messages directly, and another 3.3% came from emails, channels, etc. Of the automated tasks, approximately 66% occurred outside of weekday office hours or on weekends. Agents also handled 97% of shared document, spreadsheet, and page editing, with spreadsheet and real-time page editing both accounting for 98%, and document editing accounting for 85%. This indicates that enterprise AI applications are shifting from human-machine question-and-answer to background automated execution and multi-agent collaboration: humans are responsible for setting tasks, approvals, and decisions, while agents are responsible for continuous execution and task handover.
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