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Embodied Intelligence Funding Cools: IPO Pressure Amid Valuation-Revenue Mismatch

TMTPost's Physical AI Vision takes stock of the embodied intelligence sector's shift from the funding frenzy in the first half of the year to the cooling in the second half: 19 funding deals worth 4.934 billion yuan between October 1 and 15, far below the peak monthly figure of 33.98 billion yuan. The article notes that Unitree Robotics' share price fell by more than 63% at its largest drop after listing, that Yinghe Robotics' full-year 2025 revenue was only 4.33 million yuan while its peak valuation exceeded 500 million US dollars, and mentions that more than 50 embodied intelligence companies are queuing for listing on the Hong Kong Stock Exchange, with some having suspended or terminated their listing plans.

Embodied intelligence financing cools down, multiple robotics companies fall into work stoppages and bankruptcy

Financing in the embodied intelligence industry cooled significantly after September. In the first half of October, there were only 19 financing deals totaling 4.934 billion yuan, far below August's 91 deals and 31.323 billion yuan. Nanjing Wujing Power has suspended work and owes wages, Yinghe Robotics convened a creditors' meeting, and Shenlan Robotics has been accepted for bankruptcy liquidation; multiple companies have entered bankruptcy or contraction procedures. Unitree's prospectus shows that among its humanoid robot revenue, scientific research and education account for 73.6%, while revenue used in scenarios such as intelligent manufacturing accounts for only 2.64%, and end-user demand has still not reached scale.

What happened in the embodied intelligence industry 50 days after the release of GPT-6 Astra

TMTPost's Digital Intelligence Frontier reviewed the impact on the embodied intelligence industry in the roughly 50 days since OpenAI released GPT-6 Astra: Astra can directly control a robotic arm to complete tasks such as drawing a bridge without training on specialized robot data, and Nvidia's Jim Fan said it pushed the benchmark of his company's robotics framework to about 99%. However, an evaluation by SenseTime together with multiple institutions concluded that while it already has the ability to complete embodied tasks, there is still a clear gap before practical use: a single inference takes an average of 18.56 seconds, and the task of putting a pen into a pen holder took more than 4 hours and cost 55 US dollars. Three usage patterns have emerged in the industry: directly serving as a policy model, reviewing and correcting VLA actions, and building simulation environments and data annotation; Unitree's Wang Xingxing said that next year GPT-7 may directly break through the embodied intelligence problem.

MaaS Has Arrived: Anthropic Turns an Operating Profit for the Quarter, China's Public Cloud MaaS Revenue Reaches 10.63 Billion Yuan in Half a Year

Anthropic's revenue in the second quarter of this year was 11.555 billion US dollars, achieving an operating profit of 974 million US dollars for the first time, with about 80% of revenue coming from pay-as-you-go billing. IDC data shows that in the first half of 2026, China's public cloud MaaS market revenue reached 10.63 billion yuan, up 889.4% year on year, and its share of public cloud PaaS revenue rose from 5.2% in the second half of last year to 21.0%. Zhipu's open platform and API revenue was 825 million yuan, accounting for 86.5% of total revenue; Volcano Engine ranked first with a 45.1% share. The article argues that model services can now generate gross profit, and the unit of competition has shifted to inference optimization and delivery capability.

ByteDance World Model Exposed: Zhang Yiming's Strategy and Its Divergence from Google Genie 4's Approach

A TMTPost article states that ByteDance has listed world models as one of its four major AI priorities for 2026, with the goal of releasing at least one version by the end of the year, benchmarked against Google Genie 3, and that users can enter cloud-generated worlds via Pico headsets using voice and motion. The article also reviews Google Genie 4, released on October 28, which supports real-time changes to weather, camera movement, and the introduction of characters using natural language, and adds sound for the first time. The article also mentions that ByteDance's internal evaluations show its world model's overall performance is about 10% behind the then-current global SOTA, with generation metrics at about 20fps.

Embodied AI company IPOs cool down: Zhiyuan may abandon listing this year, lawyers break down equity and order risks

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VC Money Is Chasing Entrepreneurs with Autonomous Driving Backgrounds, as Embodied Intelligence Investment Shifts Toward Commercialization

ChinaVenture has reviewed recent embodied intelligence financing cases: Kunlun Xing Robotics completed three funding rounds in less than 90 days of its founding, with its valuation exceeding one billion US dollars, and the founders of new teams such as Feimo Yi Technology and Moqi Intelligence also mostly come from autonomous driving systems such as Huawei, Li Auto, and Horizon Robotics. The article points out that capital's focus has shifted from the general humanoid robot narrative to vertical scenarios, self-sustaining mass production, and data flywheels; meanwhile, investment cooled in the second half of the year, and investors are screening teams' mass production experience and capital structure more strictly.

New jobs created by AI have raised the bar, and young people are losing the chance to gain experience in entry-level positions

The article points out that among the 11 new occupations announced by the Ministry of Human Resources and Social Security in September, positions such as digital twin and embodied intelligent robot application mostly require an algorithm or programming background, while low-threshold data collectors earn only 3,500–6,000 yuan per month. A study by the Stanford Digital Economy Lab based on ADP payroll data found that in occupations with high AI exposure, the employment level of workers aged 22–25 is about 19% lower than that of their peers in occupations with low exposure, with the gap mainly coming from reduced hiring. A September report by the McKinsey Global Institute estimates that by 2035, about 11 million workers in the United States will need to change occupations, of whom about 14% have a direct transfer path with a relatively small skills gap.

Behind hundreds of robot training grounds, embodied intelligence begins to recalculate the accounts

The Paper reports that as of the end of June 2026, China had put more than 70 embodied intelligence training grounds into operation, with another 46 in the planning or construction stage. The first humanoid robot data training center in Beijing's Shougang Park had been running for less than 18 months when the original operator withdrew its own equipment and robots; the project side said the original teleoperation approach deviated from the new direction, and that data quality and precision fell short of expectations. The article notes that data collection centers are shifting from competing on production capacity to focusing on data sales rates, repurchase rates, and the capability improvements that data brings to models.

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AI-driven cyberattacks erupt intensively; industry insiders call October a "Black October" for cybersecurity

Cailianshe reported that in recent weeks hackers have massively deployed AI agents and automated tools to launch attacks, and industry insiders describe this month as Black October in the cybersecurity world. A major vulnerability was exposed in PHP, and as many as 70% of websites worldwide may face the risk of being hacked. The U.S. National Security Agency and the FBI warned enterprises to shut down their websites if they cannot patch immediately, and some government websites in Canada, Belgium, France and the Netherlands have proactively gone offline. Shane Fry, chief technology officer of security firm RunSafe Security, said AI can weaponize a vulnerability into attack code within hours, whereas in the past this took weeks or even months.