China’s Dancing Robots – Clever – But Can They Actually do Anything Useful – Can they Make Money?

China’s humanoid robots have become remarkably good at grabbing attention. They can dance, perform kung-fu, box, run, jump and even execute backflips that would leave most humans reaching for an ice pack.

But there is a rather important question behind all the impressive videos: what can they actually do that somebody is prepared to pay for?

The answer is increasingly encouraging — although it is considerably less glamorous than kung-fu.

The robots are coming

Chinese humanoid robots are already beginning to move into factories, warehouses and other controlled environments. Some are being used for repetitive tasks such as moving components, loading machines, inspecting products and sorting goods.

One Chinese electronics production trial reported a humanoid robot completing 2,283 operations during an eight-hour shift without errors.

Cup of tea anyone?

That is where the real commercial opportunity lies. A robot does not need to be ‘clever’ to make dinner, walk the dog and discuss the economy.

If it can reliably perform one repetitive task for hours without getting tired, injured or demanding a tea break, it can potentially save a company money.

China is particularly well placed to exploit this. It has enormous manufacturing capacity, established electronics and battery supply chains and a huge domestic industrial market.

The objective is increasingly to make humanoid robots cheaper and produce them in large numbers.

Unitree

There are signs that money is already being made. Unitree, one of China’s best-known robot manufacturers, reported 1.7 billion yuan in revenue in 2025 and was profitable. Its forthcoming Shanghai listing has attracted extraordinary investor enthusiasm.

But this does not mean the robot revolution has arrived in your kitchen.

The biggest problem is versatility. A robot can be extraordinarily impressive at one carefully prepared task while struggling with the chaos of an ordinary home.

Picking up identical components on a production line is one thing; finding a dropped sock under the sofa, loading a dishwasher and working out which cupboard contains the washing-up liquid is another.

That is why the immediate future is likely to involve robots as workers rather than robots as servants.

Work ethic

Factories, warehouses, logistics centres, hotels, shops and perhaps hospitals offer predictable environments where a machine can be trained to perform specific jobs.

Home robots will probably take longer because homes are messy, unpredictable and full of objects designed for humans rather than machines.

So, can China’s robots make money? Absolutely — but probably not because they can do backflips.

The backflips sell the dream. The boring eight-hour shift is where the business case is being tested.

And if Chinese manufacturers can make these machines cheap enough, reliable enough and useful enough, the robots really could become everywhere — not dancing on stage, but quietly doing the jobs nobody wants to do.

And the U.S.?

The U.S. is very much in the robot race, and in some respects it may be ahead of China — particularly in combining humanoid robots with advanced AI.

The interesting question is whether America can turn that technological lead into mass production and profitable businesses.

The leading U.S. names include Tesla and Optimus, Figure AI, Agility Robotics and Digit, and Apptronik with Apollo.

Apptronik, for example, raised more than $935 million in its latest funding round to scale Apollo, with investors including Google, Mercedes-Benz, John Deere and AT&T Ventures.

Agility’s Digit is probably one of the clearest examples of an American humanoid moving beyond the demonstration stage.

Digit has been used commercially in logistics, including work for GXO, where robots have been handling totes. Agility is now expanding its manufacturing and AI development capacity in the U.S.

Then there is Figure AI, which has attracted enormous investment and is concentrating on robots capable of learning a range of tasks rather than simply performing one pre-programmed movement.

Figure has demonstrated robots working in industrial environments, including BMW’s manufacturing operations.

Tesla

And, of course, there is Tesla’s Optimus. Tesla has something its rivals desperately want: enormous manufacturing experience, a huge AI operation and the potential ability to produce robots at scale.

Elon Musk’s ambition is considerably bigger than building a warehouse worker — he ultimately envisages a general-purpose robot that can work in factories and homes.

The fascinating difference is that China appears to have an advantage in manufacturing scale and cost, while the U.S. has extraordinary strengths in AI, software, robotics research and access to investment capital.

That makes this less like a traditional technology race and more like a three-way contest:

China: Can we manufacture millions cheaply?

America: Can we make them intelligent?

Everyone else: Can we work out how use and pay for them?

And there is an important reality check. The global humanoid industry is still tiny. Only around 13,000 humanoid robots were shipped worldwide in 2025, although forecasts suggest shipments could rise dramatically over the next decade.

So the U.S. is not losing the robot race. If anything, it is running a different race.

China may be trying to make humanoid robots into mass-produced industrial products.

America is trying to make them into AI-powered workers.

Whichever approach produces a robot that can reliably work an eight-hour shift — and costs less than employing a human to do the same job — could ultimately win.

The dancing and backflips are impressive.

But the real championship event is the payslip.

Alibaba Steps Into ‘Physical AI’ With New Robotics Model

AI robotics model

China’s Alibaba has taken a decisive step into the fast‑emerging field of ‘physical AI’ with the launch of a new foundation model designed specifically to power real‑world robots.

The model, known as RynnBrain*, marks one of the company’s most ambitious moves since restructuring its cloud and research divisions, and signals China’s intention to compete directly with the United States in embodied artificial intelligence.

Unlike traditional large language models, which operate entirely in digital environments, RynnBrain is built to interpret and act within the physical world.

It combines vision, language and spatial reasoning, enabling robots to recognise objects, understand their surroundings and plan multi‑step actions.

DAMO Acadamy

In demonstrations released by Alibaba’s DAMO Academy, the model guided a robot through tasks such as identifying fruit and sorting it into containers — a deceptively simple exercise that requires sophisticated perception and motor control.

The company describes RynnBrain as a ‘general‑purpose embodied intelligence model’, capable of supporting a wide range of robotic applications, from warehouse automation to domestic assistance.

Crucially, Alibaba has opted to open‑source the model, a strategic decision that invites global developers to build on its capabilities and accelerates the creation of a broader ecosystem around Chinese robotics research.

Physical AI

The timing is significant. Over the past year, major technology firms including Google, Nvidia and OpenAI have begun to emphasise physical AI as the next frontier of artificial intelligence.

The shift reflects a growing belief that the most transformative applications of AI will not be confined to screens, but will instead involve machines that can navigate, manipulate and collaborate within human environments.

Alibaba’s entry adds competitive pressure to a field already heating up. While U.S. companies currently dominate embodied AI research, China has made robotics a national priority, viewing it as a strategic industry with implications for manufacturing, logistics and economic resilience.

RynnBrain

By releasing RynnBrain openly, Alibaba positions itself as both a contributor to global research and a catalyst for domestic innovation.

The launch also highlights a broader trend: the convergence of AI models with physical systems. As robots become more capable and more affordable, the line between software intelligence and mechanical action is beginning to blur.

RynnBrain is an early example of this shift — a model designed not just to understand language or images, but to translate that understanding into purposeful action.

Whether Alibaba’s approach will reshape the global robotics landscape remains to be seen, but the message is clear: the race to build the brains of future machines is accelerating, and China intends to be at the forefront.

Other Major Players in Physical AI

Physical AI — AI that can perceive, reason and act in the real world — has become the next strategic battleground for global tech giants. Alibaba is far from alone.

Several companies are racing to build the ‘general‑purpose robot brain’.

Below are the most significant players.

1. Google DeepMind

Focus: Embodied AI, robotics‑ready multimodal model’s Key systems:

RT‑2 (Robotic Transformer)

Gemini‑based robotics extensions

Google has been working on robotics for over a decade. RT‑2 was one of the first models to show that a language model could directly control a robot arm, interpret objects, and perform multi‑step tasks.

DeepMind is now integrating robotics capabilities into the Gemini family.

2. OpenAI

Focus: General‑purpose embodied intelligence Key systems:

OpenAI Robotics (revived internally)

Vision‑language‑action research

OpenAI paused robotics in 2020 but has quietly restarted the programme. Their models are being trained to understand video, track objects and perform physical tasks. They are also working with hardware partners to test embodied versions of their models.

3. Nvidia

Focus: The infrastructure layer for physical AI Key systems:

  • Nvidia Isaac (robotics platform)
  • Cosmos models
  • Omniverse simulation

Nvidia is not building consumer robots; it is building the entire ecosystem for everyone else. Its simulation tools, training environments and robotics‑ready AI models are becoming the backbone of the industry.

4. Tesla

Focus: Humanoid robotics Key system:

  • Optimus (Tesla Bot)

Tesla is training its robot using the same AI stack as its autonomous driving system. The company claims Optimus will eventually perform factory and household tasks.

It is one of the most visible attempts to build a general‑purpose humanoid robot.

5. Amazon

Focus: Warehouse automation and domestic robotics Key systems:

  • Proteus (autonomous warehouse robot)
  • Astro (home robot)

Amazon is integrating multimodal AI into its logistics robots and experimenting with home assistants that can navigate physical spaces.

6. Figure AI

Focus: General‑purpose humanoid robots’ Key system:

  • Figure 01

Backed by OpenAI, Microsoft and Nvidia, Figure is developing a humanoid robot designed to perform everyday tasks.

Their recent demos show robots manipulating objects and responding to natural language instructions.

7. Boston Dynamics

In partnership with Google’s DeepMind Boston Dynamics is also building a ‘foundation model intelligence’ robot brain.

The Big Picture

Alibaba is entering a field dominated by U.S. companies, but the global race is wide open. Physical AI is becoming the next strategic platform — the equivalent of smartphones in the 2000s or cloud computing in the 2010s.

*RynnBrain explained

RynnBrain is Alibaba’s open‑source ‘physical AI‘ framework designed to give robots far more capable real‑world intelligence, enabling them to plan, navigate, and manipulate objects across dynamic environments such as factories and homes.

Developed by the company’s DAMO Academy, it competes directly with Google’s Gemini Robotics and Nvidia’s Cosmos‑Reason models, with Alibaba claiming stronger benchmark performance.

The system is released openly on platforms like GitHub and Hugging Face, offered in configurations from lightweight 2‑billion‑parameter models to advanced mixture‑of‑experts variants, and includes specialised versions—Plan, Nav, and CoP—targeting manipulation, navigation, and spatial reasoning respectively.

Its launch signals China’s ambition to lead global robotics and embodied AI development.

U.S. tech giants are betting big on humanoid robots

Humanoid robots

U.S. tech giants are making bold strides in the development of humanoid robots, signalling a transformative shift in the robotics industry

Companies like Tesla, Google, Microsoft, and Nvidia are investing heavily in this cutting-edge technology, aiming to create machines that mimic human movement and behaviour.

These humanoid robots are envisioned to revolutionise industries ranging from manufacturing to healthcare, offering solutions to labor shortages and enhancing productivity.

Tesla’s Optimus project is a prime example of this ambition. CEO Elon Musk has announced plans to produce thousands of these robots, designed to perform repetitive and physically demanding tasks.

Optimus robots are expected to integrate seamlessly into factory settings, reducing the need for human intervention in hazardous environments.

Similarly, Boston Dynamics, known for its agile robots, continues to push the boundaries of what humanoid machines can achieve, focusing on tasks that require precision and adaptability.

The integration of artificial intelligence (AI) is a driving force behind these advancements. AI enables robots to learn from their environments, adapt to new tasks, and interact with humans in more intuitive ways.

Companies like Nvidia are leveraging their expertise in AI and machine learning are helping to develop robots capable of complex decision-making and problem-solving.

However, challenges remain. High production costs, limited battery life, and safety concerns are significant hurdles that need to be addressed before humanoid robots can achieve widespread adoption.

Despite these obstacles, the potential benefits are immense. From assisting the elderly to performing intricate surgeries, humanoid robots could redefine the boundaries of human capability.

As U.S. tech giants continue to innovate, the race to dominate the humanoid robotics market intensifies.

Tesla Optimus Gen 2

With China and other nations also making significant investments, the competition is fierce. Analysts warn that U.S. firms could lose out to China, which aims to replicate its success with electric vehicles in the robotics space race.

The future of humanoid robots promises to be a fascinating blend of technology, creativity, and global collaboration

U.S. companies that may benefit from this AI humanoid tech advancement

Tesla: Known for its Optimus humanoid robot project, Tesla is pushing boundaries in robotics and AI.

Google (Alphabet): A leader in AI and robotics research, with projects aimed at enhancing humanoid capabilities.

Microsoft: Investing in AI technologies that support robotics and automation.

Nvidia: Provides advanced AI chips and systems crucial for humanoid robot development.

Boston Dynamics: Famous for its agile robots like Atlas, focusing on precision and adaptability.

Agility Robotics: Creator of Digit, a humanoid robot designed for logistics and manufacturing.

Meta (Facebook): Exploring humanoid robots for social and interactive applications.

Apple: Investing in robotics and AI for potential humanoid advancements.

Amazon: Developing robots like Astro for home monitoring and other tasks.

Figure AI: Innovating humanoid robots like Figure 02 for various industries.

Bill Gates on AI

Bill Gates has shared some fascinating insights about AI recently. He reportedly believes that within the next decade, AI will transform many industries, making specialised knowledge widely accessible.

For example, he predicts that AI could provide high-quality medical advice and tutoring, addressing global shortages of doctors and educators.

Gates has also described this shift as the ‘age of free intelligence,’ where AI becomes a commonplace tool integrated into everyday life. While he acknowledges the immense potential of AI to solve global challenges – like developing breakthrough treatments for diseases and innovative solutions for climate change – he also recognises the disruptive impact it could have on jobs and the workforce.

Despite these concerns, Gates remains optimistic about AI’s ability to drive innovation and improve lives.

He has emphasised that certain human activities, like playing sports or hosting talk shows, will likely remain uniquely human.

However, despite all these predictions from powerful tech leaders – it does beg the question, do these ultra rich CEOs predict the future, or simply make it?

What if Quantum Physics coincides and collides with the ‘full’ arrival of AI and humanoid robots

Quantum computing could enhance the capabilities of AI-powered robots by solving complex optimisation problems, improving machine learning algorithms, and enabling real-time decision-making.

For instance, robots equipped with quantum sensors could navigate intricate environments, detect subtle changes in their surroundings, and interact with humans in more intuitive ways.

This fusion could revolutionise industries such as healthcare, manufacturing, and space exploration. Imagine humanoid robots performing intricate surgeries with precision, managing large-scale logistics, or exploring distant planets with advanced problem-solving abilities.

However, this convergence also raises ethical and societal questions. The potential for such powerful technologies to disrupt industries, impact employment, and challenge privacy norms must be carefully managed.

Collaboration between scientists, policymakers, and ethicists will be crucial to ensure these advancements benefit humanity as a whole.

The intersection of quantum physics, AI, and humanoid robotics is not just a technological milestone – it’s a glimpse into a future where the boundaries of human capability and machine intelligence blur.

It’s an exciting, albeit complex future humans are creating.

But will AI surpass human intelligence – and if it does what then for the human civilisation?

Access videos of Tesla robots here