Founder Wang Xingxing Warns of a Slow Road to Mass Adoption



The company's founder and CEO candidly stated at the World Robot Conference that the industry's "ChatGPT moment" is still years away, as the biggest bottleneck remains the insufficient generalization ability of embodied AI . The robots' efficiency in real-world scenarios like factories is still limited .
#GateStockInsightsChallenge
post-image
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
84 views
  • Reward
  • 6
  • 2
  • Share
Comment
Add a comment
Add a comment
HeadShoulderFinder
· 2 hours ago
Many people think robots are about to take off, but Wang Xingxing poured cold water on that idea: embodied AI is still climbing uphill. The reality is that it runs smoothly in the lab but falls flat as soon as it gets to the factory. Generalization sounds simple, but it’s hard to achieve. Take it slow—there’s no need to rush the ChatGPT moment.
View OriginalReply0
CTAHunter
· 2 hours ago
Insufficient generalization capability is indeed the biggest bottleneck.
View OriginalReply0
LendYinYang
· 2 hours ago
Forget a ChatGPT moment—even calling them “usable” is still a stretch. Factory environments are so complex that it’s already impressive if a robot can adapt to one set of operating conditions; switching to another production line requires recalibration. How could they replace humans at scale?
View OriginalReply0
IndicatorsNeverDie
· 2 hours ago
Wang Xingxing said the ChatGPT moment is still a long way off. I think that’s not pessimism but clear-headedness. Humanoid robots look impressive right now, but their shortcomings are exposed when they are actually put to work: perception, decision-making, and execution are not integrated, and their generalization capabilities can’t keep up, so real-world deployment is naturally slow. Don’t rush to hype them up—build a solid foundation first.
View OriginalReply0
VaultSteward
· 2 hours ago
Staying clear-headed and pragmatic is better than bragging.
View OriginalReply0
BullSignal
· 2 hours ago
The truth is hard to hear, but that’s indeed how things are. Robots are still mostly “demo-grade” for now, and true large-scale deployment is still a long way off. Let’s solve generalization first.
View OriginalReply0
  • Pinned