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America’s Race For Humanoid Robots: Can It Catch Up with China?

U.S. tech giants are betting big on humanoid robots, but analysts warn they’re already trailing China. With Nvidia’s Jensen Huang and Tesla’s Elon Musk fueling investor enthusiasm, the competition is heating up. Yet, China’s rapid progress mirrors its dominance in electric vehicles, positioning it ahead in this new frontier.

The Robotics Revolution

Humanoid robots—AI-driven machines designed to mimic human movement—are set to transform industries from manufacturing to customer service. The U.S. sees them as crucial to future economic growth, but analysts caution that China’s aggressive industrial policies and supply chain advantages give it a head start.

Nvidia’s Huang recently unveiled new tech for humanoid robotics, while Musk’s Tesla aims to produce 5,000 Optimus robots in 2024. That puts it ahead of U.S. rivals like Apptronik and Boston Dynamics, but not China’s Agibot, which has matched Tesla’s production target. Meanwhile, Unitree Robotics has already sold humanoid models directly to consumers.

Price & Scale: China’s Edge

Morgan Stanley estimates humanoid robot production costs range from $10,000 to $300,000. But China’s scale is driving prices down. Unitree’s G1 starts at $16,000, while Tesla’s Optimus Gen2 is projected at $20,000—if Tesla can optimize costs using Chinese components.

China isn’t just ahead on pricing. Over the past five years, it has filed 5,688 humanoid robot patents—compared to just 1,483 from the U.S. EV giants like BYD and Geely have already deployed Unitree’s robots in factories, while Beijing actively supports large-scale production.

The U.S. Challenge

A recent SemiAnalysis report warns that China’s humanoid robots are entirely independent of U.S. components, posing an “existential threat” to American industry. To compete, U.S. firms must strengthen domestic manufacturing and diversify supply chains.

Bank of America predicts humanoid robot adoption will soar, reaching 1 million annual sales by 2030 and 3 billion in operation by 2060. But for now, China leads. If the U.S. wants a stake in the future of robotics, time is running out.

Meta Launches AI Personal Agent With Subscriptions Starting At $20

Meta has launched a new AI personal agent app and is already asking some users to pay for it, as the company seeks to turn its AI investment into a new business line.

Developed under the internal code name Hatch, the app is powered by Meta’s Muse Spark family of foundation models. It can handle everyday tasks including booking appointments, completing online forms and monitoring home security camera feeds.

Meta Targets A Simple User Experience

Meta AI chief Alexandr Wang said Muse is designed to keep the user experience simple while handling complex tasks in the background.

“Behind the scenes, Muse might be doing very advanced coding workflows, or building sophisticated integrations, or doing quite a lot of heavy lifting while keeping that very sort of simple for the user,” Wang told CNBC.

Muse will offer a free tier and monthly plans costing $20 and $100, depending on usage. The pricing reflects Meta’s effort to build recurring AI revenue alongside advertising.

Zuckerberg Bets On Personal AI Agents

CEO Mark Zuckerberg has identified personal AI agents as a potential next stage of artificial intelligence and a source of future products and revenue. That strategy is driving continued spending on data centers and AI infrastructure as Meta bets that assistants capable of managing emails, finding deals and handling routine tasks will become mainstream.

Launch Comes Amid Legal And Industry Scrutiny

Muse arrives as Meta faces continued legal scrutiny. The company recently agreed to pay nearly $17 billion in a settlement with a coalition of state attorneys general over allegations involving harm on Facebook and Instagram, while additional lawsuits from personal injury plaintiffs and school districts remain pending.

Across the AI industry, regulators and security experts are also examining cybersecurity risks associated with autonomous agents and their underlying models. Data center expansion and questions over AI profitability are adding further pressure on major technology companies.

Meta Seeks A Payoff From AI Spending

Wall Street is pressing Meta to show that its AI investments can produce durable returns as the company remains heavily dependent on advertising while expanding into subscriptions and commerce.

Muse joins Meta’s broader AI portfolio, including the Muse Code developer agent and subscription offerings tested in recent months. Together, they point to a strategy of building a commercial AI services business rather than treating AI products as standalone experiments.

Security, Privacy And Commerce

Meta says Muse operates in an isolated environment and does not access users’ actual passwords or payment details. The agent asks for approval before sensitive actions, while third-party researchers can test the product through a bug-bounty program.

Users can opt out of having their Muse interactions used to train Meta’s models. For those who remain opted in, Meta says it will remove critical personally identifying information before using the data, according to David Singleton, Meta’s vice president of engineering.

Commerce could provide another revenue source. Wang said Meta is considering taking a share of shopping transactions completed through the agent, although no final business model has been decided.

Muse Expands Across Meta’s Ecosystem

US consumers will be able to access Muse on iOS, Android and a standalone website, with plans to bring it to Ray-Ban Meta glasses.

The service will compete with personal-agent products from OpenAI, Google and newer startups. Wang acknowledged that the market remains at an early stage, saying, “It’s pretty early in this new era of personal agents.”

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