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AGIBOT's Yao: Robots Reach 'GPT-3.5' Moment in 3–5 Years

AGIBOT's Yao: Robots Reach 'GPT-3.5' Moment in 3–5 Years

3 Key Points

  1. What happened

    At the Fortune Leaders Forum in Macau on Sept. 8, AGIBOT co-founder Yao Maoqing said embodied AI will hit a 'GPT-3.5' moment within 3 to 5 years, when robots handle everyday tasks at an 80–90% success rate.

  2. Why it matters

    AGIBOT shipped 9,700 humanoid units in the first half of the year, making it the top seller per Counterpoint Research, and is considering a Hong Kong IPO — yet Yao says factories still demand 100% efficacy.

  3. What to watch

    The timeframe hinges on whether data volume and model size keep delivering the same step-up in intelligence seen in large language models. Watch AGIBOT's plans for a Hong Kong IPO.

WHO IT HITSThis matters most for robotics and manufacturing executives weighing whether to invest in humanoid automation now or wait, and for investors watching AGIBOT's planned Hong Kong listing.

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Context & Analysis

The World Humanoid Robot Games in Beijing last August put humanoid robots in the spotlight with athletic feats like sprinting, weightlifting and kickboxing. But behind the headlines, Chinese robot makers are racing to find practical uses in hotels and factories. AGIBOT, which shipped 9,700 humanoid units in the first half of the year and is considering a Hong Kong IPO, is at the center of that push.

At the Fortune Leaders Forum in Macau on Sept. 8, AGIBOT co-founder Yao Maoqing compared where embodied AI stands to GPT-3.5, the model behind ChatGPT. He said the technology will reach that level within a 3-to-5-year window, meaning robots that can perform everyday tasks at an 80–90% success rate. That milestone would mark a shift from specialized demonstrations to general-purpose capability.

But the path to factories is steep. Yao acknowledged that humanoid firms find it genuinely difficult to build a robot that runs stably inside a factory, where industry players care about success rate, cycle time, stability and cost above all else. AGIBOT's six-day livestream in late June showed robots completing over 64,000 manufacturing tasks with a 99.99% success rate, though reaching that required eight-hour overnight sessions for a month. Whether embodied AI delivers on Yao's timeline likely hinges on whether data volume and model size keep producing the same step-up in intelligence seen in large language models — and on whether factories' demands for near-perfect reliability can be met at a cost that makes sense.

FAQ
What does 'GPT-3.5' mean for robots?
Yao Maoqing used 'GPT-3.5' to describe the point where an AI service can perform common, everyday tasks—not just specialized ones—with a success rate between 80% and 90%, as ChatGPT did.
How soon will this happen?
Yao said the timing is within the 3-to-5-year window, though people differ somewhat on the exact timing.
What are some current real-world robot uses?
Keenon Robotics has robots automating hotel services; one Shanghai hotel uses five robots to greet guests, deliver room service, clean rooms, and manage the restaurant floor. UBTech is investing in industrial robots but starting with common scenarios with a big enough market.

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