Tencent Cloud: AI speeds up staff but enterprise revenue lags

On October 30, 2026, Tencent Cloud disclosed that China Resources Trust (华润信托) had built a bond trading assistant on its ADP agent development platform. According to the disclosure, the assistant now sits directly inside trading group chats, where it reads and breaks down trade instructions, enters them into the trading system, checks positions and trade progress on request, and automatically replies to questions from clients in the chat. Tencent Cloud said the assistant's order-splitting accuracy has climbed from just over 80% at the start to 98%. Despite that gain, China Resources Trust still keeps human confirmation in place at critical steps, and the report presents this as a sign of a broader gap between what AI can technically do and what enterprises are willing to let it do end to end. The report also cites McKinsey survey work for context. In August 2026, McKinsey published a global AI survey finding that 80% of respondents said AI had improved their own productivity, while only 37% believed AI had delivered a positive contribution to their organization's profit. In September 2026, McKinsey added that enterprises spend large amounts of time on task handoffs, coordination, and waiting between different departments and systems. As of the report's publication, the survey figures were given without detail on sample size or methodology, and the case remained an implementation example rather than a completed business result.