Agile Robots founder and CEO Zhaopeng Chen projects that the physical artificial intelligence and humanoid robotics market will eventually eclipse the global automotive sector by an order of magnitude, reaching a multi-trillion-dollar scale. Speaking at the company's Physical AI event in Munich, Chen grounded his ambitious forecast in concrete industrial math, comparing the roughly 90 million vehicles produced annually worldwide to a future where humanoid robots become as commonplace as personal possessions.

How Does a Humanoid Robot Market Become 10 Times Bigger Than Cars?

Chen's thesis rests on a fundamental shift in deployment philosophy. Rather than treating humanoids as specialized factory equipment, he envisions a world where every person has access to a humanoid companion, much like today's car ownership model. To put the scale in perspective, the global automotive industry generates roughly $2 trillion to $3 trillion in direct vehicle sales annually, with an additional $4 trillion when accounting for supply chain networks. A market ten times that size would represent a staggering economic transformation.

The CEO emphasized that this growth will not happen through laboratory breakthroughs alone. Instead, Agile Robots is betting on a methodical, shop-floor-first approach that absorbs decades of human expertise rather than relying on artificial intelligence to work "magic" out of the box. This pragmatic stance sets the company apart from some Silicon Valley narratives that promise autonomous robots requiring minimal human input.

What Does Agile Robots Actually Have Working Today?

Agile Robots is not purely theoretical. The company confirmed that its flagship Agile ONE humanoid, a 174-centimeter, 69-kilogram biped capable of moving at 2.0 meters per second with a 20-kilogram payload capacity, officially entered first production at its Fürstenfeldbruck facility in 2026. This milestone represents a tangible step beyond prototypes and demonstrations.

The company's technical capabilities center on precision manipulation and sensory feedback. According to corporate documentation released during the event, Agile Robots' standalone Agile Hand features five modularly designed fingers with 21 joints, 21 degrees of freedom, and joint speeds reaching up to 360 degrees per second. Critically, both torque and position sensors are embedded directly into every actuated joint, enabling tactile sensitivity without relying on brittle external sensor arrays.

These capabilities have been tested in real-world industrial settings. In evaluations conducted alongside a strategic research partnership with Google DeepMind, Agile Robots reported that its FR3 Duo dual-arm manipulation system achieved an 89.6% success rate in precision part insertion, a 78.9% success rate in diverse tool kitting, and a 74% success rate in general pick-and-place trials. These benchmarks demonstrate that the robots can handle complex, repetitive manufacturing tasks with high reliability.

How Is Agile Robots Building Its Humanoid Strategy?

• Vertical Integration: Unlike pure-play foundation model labs that treat physical chassis as interchangeable commodities, Agile Robots builds its entire physical AI stack in-house, spanning low-level joint torque sensors, motion controllers, end-effectors, and operational software via its AgileCore platform.
• Real-World Data Engine: The company's footprint of more than 20,000 deployed automation solutions worldwide serves as a data engine to train Vision-Language-Action models and world models, grounding AI development in practical manufacturing experience rather than simulation alone.
• Strategic Partnerships and Infrastructure: Agile ONE operates on the European Telekom-NVIDIA Industrial AI Cloud to ensure sovereign compute, positioning the company as an anchor industrial customer on European infrastructure while maintaining control over its technology stack.
• Acquisition and Expansion: The firm controls an unusually complete manufacturing footprint through subsidiaries including cobot pioneer Franka Robotics, intralogistics developer idealworks, and custom line integrators BÄR Automation and Krause Automation, backed by an R&D force of more than 2,000 specialists across 25 global sites.

Chen's skepticism about zero-shot AI capabilities reflects an enduring engineering reality in manufacturing. While large multimodal models can interpret language and propose high-level task plans, robust physical manipulation requires precise force sensing, continuous closed-loop feedback, and repeatable execution under rigorous cycle-time tolerances.

"I'm a scientist. I believe in logic and science. So I don't believe magic, like you get a robot so smart and then it automatically will be working in the factories. Even for human beings like you and me, we get trained, we have to be trained by the masters, which are living and working in the factories for decades. So robots and AI models, that's the same thing. We need those know-hows to get into it, to really get on the shop floor," stated Zhaopeng Chen.

Zhaopeng Chen, Founder and CEO at Agile Robots

This philosophy contrasts sharply with narratives suggesting that foundation models can instantly transfer to physical systems. Chen argues that robots, like humans, require systematic training in domain-specific expertise. That training happens not in simulation but through exposure to real manufacturing environments and the accumulated knowledge of experienced operators.

What Does This Mean for the Robotics Industry?

Agile Robots' approach signals a broader shift in how the humanoid robotics industry is maturing. Rather than chasing viral moments or laboratory demonstrations, the company is betting that commercial viability begins on the shop floor, absorbing human expertise one assembly step at a time. Capital markets have tracked this operational expansion closely; reports emerged earlier in 2026 that SoftBank is in early-stage talks to back an $800 million funding round for the Munich-based company.

Chen's ten-times-bigger market projection may sound audacious, but it reflects a serious calculation grounded in labor economics and industrial displacement. If humanoids eventually replace or augment human workers across manufacturing, logistics, healthcare, and personal services, the addressable market could indeed dwarf the automotive sector. The question is not whether the vision is theoretically possible, but whether companies like Agile Robots can execute the unglamorous work of training robots to handle real-world complexity, one factory floor at a time.