China's new national standard takes aim at the 'transfer me to a human' runaround

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China's new national standard takes aim at the 'transfer me to a human' runaround

China's first national standard governing how AI and human customer service work together takes effect September 1 — and it goes straight at the most hated feature of modern support: the bot that won't hand you to a person. Under GB/T 47746—2026, "Customer contact service — Requirements for collaboration between human and intelligent customer service," human-service entry points must be clearly visible rather than buried in menus, AI handles routine questions while complex disputes get escalated promptly, customers shouldn't have to repeat themselves after a bot-to-human switch, and issues touching life or property safety must transfer to a person automatically.

The timing is no accident. Consumer associations logged roughly 985,900 complaints nationwide in the first half of 2026, with after-sales service the largest category at 26.79% of the total — and hard-to-reach humans, unfulfilled AI promises, and wrong answers cited as the new flashpoints. The horror stories write themselves: one seller's platform-hosted AI agent knocked a ¥1,000 sound card down to ¥400 on its own, while other users have burned through a dozen "转人工" ("transfer me to a human") messages only to receive looping "I understand your feelings" replies. Newsroom tests this week found only 4 of 20 major platforms connected a human quickly, averaging 171 seconds, with the worst case dragging past 11 minutes.

Our take: this is the first consumer-grade regulation aimed not at what AI says but at how it's wired into an org chart — and other countries watching the same frustration build should take notes. Compliance will be cheap; the reputational math of deliberately using bots as complaint-absorption armor just changed. Enforcement teeth are the open question: a recommended national standard (GB/T) sets expectations for platforms and gives regulators and courts a reference, but it isn't a licensing regime.

What to watch: whether e-commerce and delivery platforms quietly rework their escalation flows before September 1 — and who gets named-and-shamed first.

Have you ever begged an AI support bot for a human without success?


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