AI robots

An economist argues that a third 'China shock' is emerging, this time driven not by cheap consumer goods but by exports of artificial intelligence, biotechnology and robotics products. The prediction suggests China's next wave of global trade disruption will hit advanced technology sectors, raising concerns among policymakers and industries in developed economies that have so far viewed themselves as insulated from Chinese competition.

Chinese state broadcaster CGTN is asking whether China's workforce can keep pace with the rapid spread of artificial intelligence and robotics. The discussion focuses on whether automation will displace workers faster than new jobs can be created as China pushes ahead with its AI ambitions. It forms part of a wider global debate over how economies should prepare their labour forces for increasingly capable machines.

Anthropic says current robotics technology is capable of performing roughly a third of physical jobs, but most applications are not yet cost-effective compared with human labour. The assessment suggests the technical feasibility of automation is advancing quickly, while economics remain the main barrier to widespread deployment in workplaces.

At the United Nations, world leaders are framing the risks of artificial intelligence in starkly different ways. Some warn of autonomous 'killer robots' on the battlefield, while others point to the longer-term threat of 'super intelligence' beyond human control. The divide highlights the challenge of crafting international AI governance, with countries prioritising different dangers as they push for new rules on the fast-moving technology.

Day two of TechCrunch Disrupt 2026 is taking place at Moscone West in San Francisco, drawing more than 10,000 founders, investors, and technology leaders. Sessions focus on artificial intelligence, robotics, AI hardware, and public safety, while over 300 startups exhibit their products at the conference. Attendees are following the event's startup pitches, panels, and announcements as they unfold.

Bedrock Robotics is raising $600 million to develop technology that automates construction work, according to a report by Axios. The funding round, if completed, would make the company one of the largest-backed startups applying robotics to the building industry. Details on valuation and investors have not been disclosed.

A newly released film tackles the controversial prospect of care robots being used to assist in euthanasia, examining how artificial intelligence could play a role in end-of-life decisions. The topic is drawing attention to the ethical debates surrounding automation in healthcare and elderly care, and the moral questions raised when machines become involved in decisions about dying.

The US Air Force has taken delivery of its first 'robot wingman' drones, autonomous aircraft designed to fly alongside crewed fighter jets. The delivery marks the start of trials into autonomous warfare, testing how unmanned drones can support pilots in combat missions. The programme is seen as a major step toward integrating AI-driven aircraft into military operations.

The Hong Kong Trade Development Council has announced that four major technology fairs will run concurrently in October 2026, covering electronics, artificial intelligence, robotics, electronic components and lighting solutions. Organisers expect the combined exhibitions to draw substantial international attendance, positioning Hong Kong as a regional hub for the technology trade.

Ukraine has announced a large-scale programme to build an 'army of robots', described by officials as a 'Manhattan Project for physical AI'. The initiative aims to develop autonomous ground and aerial systems at scale for battlefield use, drawing comparisons to the World War Two atomic research effort. The announcement has drawn international attention given Ukraine's ongoing war with Russia and the growing role of drones and robotics in modern combat.

Humxn Research Labs says it will spend $50 million acquiring data on skilled trades, farming and manufacturing to train AI-powered robots. The effort highlights a growing shortage of real-world, hands-on task data for robotics, in contrast to the text and image data that powered recent AI advances. The move is drawing attention among technology and markets observers.

Chinese state media reports that the country's embodied AI sector is shifting from research settings into practical deployment, with robots taking on actual jobs in industry and services. The report highlights China's push to turn embodied artificial intelligence from a laboratory technology into a working part of the economy, as companies and institutions expand real-world applications.

Pharmaceutical company Roche has outlined plans to move towards autonomous, AI-driven laboratories. According to a Reuters report, the Swiss drugmaker intends to use artificial intelligence and robotics to automate research workflows, accelerating drug discovery and reducing the need for manual lab work. The announcement highlights how major pharma firms are adopting AI to speed up experimentation and research.

The American Enterprise Institute has published a piece examining what autonomous robot trucks reveal about the future of artificial intelligence and employment. The argument suggests self-driving freight is an early test case for how AI will reshape work, raising questions about which jobs automation replaces and what new roles it may create for workers.

Chinese lidar maker Hesai has launched Kosmo, a 3D data platform designed to support robot training and the development of world models. The platform aims to provide spatial data infrastructure for robotics and embodied AI applications, extending Hesai's business beyond automotive lidar sensing into the growing robotics sector.

Honda presented its AI-assisted avatar robot at CEATEC 2026, the major Japanese technology trade show. The robot combines remote avatar operation with AI assistance, reflecting Honda's broader push into robotics beyond its automotive business. Coverage of the demonstration highlights the company's ongoing investment in humanoid and assistive robot technologies as a key part of its future mobility strategy.

Robotics startup Physical Intelligence has launched a beta of its API, offering access to what it calls frontier-level AI models designed to control robots. The announcement, made on the company's website, means developers could build robot applications on general-purpose foundation models much as they do with large language models today. Discussion online is centered on what general-purpose robot control APIs could enable and whether the models are ready for real-world use.

Experts unveiled what is described as the world's first embodied AI robot built on a fully domestic electronic architecture. Analysts say the milestone marks a shift in robotics from developing key components individually toward achieving underlying autonomy at the system level. The announcement is drawing attention for its potential implications for self-reliance in robotics and artificial intelligence technology.

Google is presenting Gemini 4 Argon as an AI model designed to serve as the sole intelligence layer robots need, covering their core capabilities rather than requiring separate specialised models. The announcement, reported by The Decoder, signals Google's ambition to position Gemini as a standard foundation for robotics. Details on which robot makers, if any, will adopt it were not given.

Chinese state media reports that embodied AI robots developed in China are increasingly being deployed in real-world workplaces rather than remaining confined to research and classroom settings. The feature highlights how the country's robotics sector is pushing humanoid and intelligent machines into practical jobs, reflecting China's broader push to lead in embodied artificial intelligence and industrial automation.

Engineers say one of robotics' toughest problems is not artificial intelligence but the physical act of grasping. A human hand's dexterity, touch sensitivity and ability to adjust grip in real time are extremely difficult to replicate mechanically, making manipulation a bigger hurdle than cognition in many robotics projects.

New results from Vals AI's Robo Bench show frontier language models scoring under 2 out of 100 when tasked with controlling a simulated humanoid robot. The benchmark highlights how far current models remain from reliable embodied control, despite strong performance in text and reasoning tasks. Commenters are treating the result as a sobering reality check on near-term robotics claims.