The Future of Humanoid Robot China and the Race for Natural Language

The race to develop a functional humanoid robot China and other Asian tech hubs are prioritizing is approaching a critical software milestone. Experts predict that by mid-2027, these machines may transition from performing repetitive motions to executing complex physical tasks based on simple spoken instructions, a shift that could redefine industrial and commercial automation across the globe.
When will robots understand natural language?
The breakthrough for autonomous machines is expected to arrive in the next three years. This leap involves moving away from rigid, pre-programmed routines toward a system where software connects spoken words to a sequence of physical actions.
According to TechRepublic, 2027 marks a target for a "GPT-3.0 milestone" in robotics. At this stage, a user could give a natural-language command, and the machine would attempt to complete the task through a series of reasonable physical steps. This transition relies on improving the "brain" of the machine, which currently remains the weakest link in the robotics technology stack.
To achieve this, companies are using massive amounts of human data. At a training center in Beijing, workers use wearable sensors to record how they perform everyday tasks. These activities include:
- Opening refrigerators
- Unlocking safes
- Cutting vegetables
Spirit AI is currently using these methods to move beyond virtual simulations. Gao Yang, a co-founder and chief scientist at Spirit AI, noted that simulations often fail when dealing with flexible objects like cables. Instead, the company uses "dirty data" from the real world to help models learn faster than they would from polished, artificial demonstrations.
Where will these robots be used first?
Industrial settings will host these machines long before they enter private homes. Controlled environments like factories and warehouses allow robots to operate with much higher reliability than the unpredictable layouts of a domestic living room.
Current deployments are already happening in professional sectors. According to TechRepublic, Spirit AI has already deployed its Moz1 wheeled humanoid robots on production lines for:
- CATL, a battery manufacturer
- JD.com, a major retailer and investor
- E-commerce: Expected to reach US$226 billion in 2026.
- Online Travel: Predicted to hit US$59 billion by 2026.
- Online Media: Forecast to contribute US$44 billion in 2026.
- Differentiation: Start-ups must prove they have a unique selling point that others cannot easily copy.
- Long Sales Cycles: Enterprise deals can take a year or more to finalize.
- Content Strategy: Companies must write content that both humans and AI search assistants can understand.
- Meta: Dropped nearly 7 percent after raising projected spending to between $135bn and $145bn.
- Amazon: Fell 4.6 percent.
- Nvidia: Dropped 4.4 percent.
- Intel and AMD: Both fell approximately 8 percent.
- 2026: The year Southeast Asia's digital economy is expected to reach the US$368 billion mark.
- Mid-2027: The target date for humanoid robots to reach a "GPT-3.0" level of natural language understanding.
- Q1 2027: The scheduled launch of Huawei’s Ascend 960DT AI chip.
The timeline for deployment follows a specific progression. Gao Yang expects the next one to two years to be the window for industrial applications. Within two years, robots should appear in commercial service settings for simpler tasks. However, entering homes is a much harder challenge because homes contain pets, people, and changing layouts that are difficult for machines to predict.
How is AI impacting the digital economy in Southeast Asia?
While robotics focuses on physical tasks, artificial intelligence is driving a massive surge in digital commerce across Southeast Asia. The region is seeing rapid growth in how people shop, travel, and consume media through AI-enhanced platforms.
According to The Straits Times, the digital economy in Southeast Asia is forecast to hit US$368 billion by the end of 2026. This represents a 17% increase from the US$315 billion projected for 2025. This growth is being fueled by AI integration in several key sectors:
AI is changing consumer behavior in these markets. In a study of six countries including Indonesia, Malaysia, Singapore, Thailand, Vietnam, and the Philippines, 69% of consumers use AI to compare products. For sellers, these AI tools can lead to a conversion uplift of between 10% and 15%.
What challenges do travel tech start-ups face?
The rise of AI has made it harder for new companies to compete in the travel industry. Because many businesses now have access to the same powerful AI tools, simply having "AI" is no longer enough to attract investors or customers.
At the Travel Tech Start-Up Summit held on October 14, industry leaders warned that start-ups must find specific ways to stand out. Investors are looking for companies that solve a clear, single problem rather than those offering generic AI features. According to Hotel News Resource, experts highlighted several hurdles for new entrants:
Large corporations are also changing how they interact with smaller firms. Rather than building everything themselves, many large travel companies are looking to acquire existing AI capabilities. Hillary Dallas, Head of Global Travel and Events at Amazon, noted that her company’s partnership with the booking platform Spotnana began in December 2021 and did not launch across 45 countries until February 2026.
How are investors reacting to the AI boom?
There is a growing tension in the global markets between the excitement of AI potential and the fear of a financial bubble. While some see a revolution, others worry that the massive spending on hardware is unsustainable.
According to Al Jazeera, US tech stocks have experienced significant volatility due to concerns over capital investment. For example, the Nasdaq Composite fell 2.6 percent on a single Thursday, marking its steepest decline since June. This sell-off affected many major players:
The debate centers on whether the investment in data centers and chips will pay off. While some analysts fear a bubble similar to the 2000 dot-com crash, others believe the technology will justify the costs. Technology insights company Gartner forecasts that global AI investment will reach $2.7 trillion in 2026 and $3.6 trillion in 2027.
How each side tells it
The debate over the sustainability of AI spending is split between market skeptics and technology optimists.
The Skeptics: Many investors and analysts worry that the current level of spending on AI infrastructure is disconnected from actual profits. They point to the sharp drops in tech-heavy indices as evidence of a "wall of worry" regarding the long-term value of these investments.
The Optimists: Proponents argue that the massive capital outlays are necessary to build the foundation for a technological revolution. They believe the long-term societal and economic shifts caused by AI will eventually validate the eye-watering sums currently being spent.
What happens next?
Several key milestones and trends will determine the trajectory of these technologies:
FAQ
When will humanoid robots be able to follow spoken commands?
Experts from Spirit AI expect robots to be able to execute physical tasks based on natural language by mid-2027.
Is the AI market in a bubble?
There is an ongoing debate among Wall Street analysts, with some fearing a dot-com style crash and others arguing the investment is justified by future growth.
How is AI helping people in Southeast Asia?
AI is currently being used by 69% of consumers in several regional countries to compare products and is boosting e-commerce and online travel sectors.
Sources
- 1.techrepublic.comHumanoid Robots May Get Their ‘ChatGPT Moment’ by Mid-2027
- 2.aljazeera.comUS tech stocks tumble as investors fret over AI spending
- 3.straitstimes.comSouth-east Asia’s digital economy to hit US$368b in 2026, up 17% as AI uplifts growth
- 4.hotelnewsresource.comTravel Tech Start-Up Summit: Buyers and Investors Tell Founders AI Has Raised the Bar on Standing out


