Robots’ “ChatGPT Moment” — All Ingredients Are Ready
2025-12-02

December 1. 2025. Las Vegas, USA

At the robotics track of AWS re:Invent 2025. Amit Goel, Head of Robotics and Edge Computing Ecosystem at NVIDIA, delivered a clear verdict: the “ChatGPT moment” for robots will arrive as soon as two conditions are simultaneously met:

1. Hardware cost and adoption reach smartphone-level affordability;

2. Robotic intelligence achieves sufficiently high practicality and reliability.

He emphasized, “All the ingredients are already in place, and the ecosystem has prepared a complete recipe.”This aligns perfectly with repeated public statements from NVIDIA CEO Jensen Huang and VP Deepu Talla throughout 2025: Jetson Thor, the Cosmos world model, and the GR00T series will form a fully closed loop in the first half of 2025 — the industry is truly just waiting for the final spark.

Robots’ “ChatGPT Moment” — All Ingredients Are Ready(图1)

As a Chinese company deeply focused on intelligent manufacturing and system integration, Jeenoce has been working on the front lines of supply chains and joint customer testing. We are observing several signals that are ahead of public reports and closer to real-world deployment:

1. Dexterous hand hardware costs are plummeting at an accelerating rate

Since the second half of 2025. in actual procurement and mass-production validation, the BOM for 27–32 DOF fully coupled dexterous hands has generally fallen below RMB 1.200 per hand. Leading suppliers are quoting ~40% faster than in 2024. This means, for the first time, complete robot manufacturers can acquire near-human-level dual-hand precision configurations for under RMB 20.000 — hardware affordability is arriving 12–18 months earlier than mainstream industry forecasts.

2. Edge inference power consumption is approaching the practical threshold

In real-machine testing with multiple customers, edge action-policy inference based on GR00T-Nano or equivalent lightweight models has stabilized at an average of under 45 W, with peaks not exceeding **80 W**. This directly extends humanoid robot continuous operating time from “2–3 hours” to a full workday, rapidly eliminating range anxiety.

3. Unstructured grasping success rate is nearing the commercial red line

Data from Q3–Q4 2025 real customer tests show that, without cloud dependency or offline programming, single-attempt grasping success rates using high-density tactile sensing combined with edge VLA models have stably exceeded 83% across common daily items, clothing, and tools, with some high-frequency categories reaching over 90%. This is a clear inflection point visible only to players deeply involved in field testing.

4. Ecosystem interface standardization is progressing faster than expected

Interface documents and reference implementations for new standards such as GR00T Blueprint, Isaac Manipulator, and Cosmos Micro are being released at a pace far exceeding 2024. Actual integration cycles have shrunk from months to weeks. Cooperation willingness across the supply chain and OEMs has significantly increased — the ecosystem “recipe” is moving from paper to directly replicable engineering practice.

When the four critical curves —hardware cost, edge power consumption, grasping success rate, and ecosystem interface readiness— simultaneously cross their tipping points between **2025 and 2026**, exponential growth in the robotics industry will officially begin.

Jeenoce will continue to focus on high-cost-performance dexterous hands and end-to-end embodied intelligence system integration, working with global partners to welcome this increasingly certain historic moment.

Jeenoce is committed to providing the most cost-effective dexterous hands and end-to-end embodied intelligence system integration solutions for humanoid robots.

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