Google Is Building the Android of Robotics — And This Time, It Might Actually Work
Google has a complicated history with robotics. It bought Boston Dynamics in 2013, fumbled the business case, and sold it to SoftBank four years later. But the AI revolution has changed the calculus entirely, and the company is making its most deliberate move yet into the physical world.
Last week, Alphabet announced that Intrinsic — the industrial robotics software company that graduated from its X "moonshot factory" in 2021 — would be absorbed into Google proper. The move places Intrinsic directly alongside DeepMind, Gemini, and Google Cloud, giving the robotics platform access to the full weight of Google's AI infrastructure.
The strategy is disarmingly simple, and Sundar Pichai himself has drawn the comparison: Intrinsic wants to be the Android of robotics. Just as Android became the universal operating system that allowed Samsung, Motorola, and Xiaomi to compete with the iPhone, Intrinsic aims to be the universal software layer that makes industrial robots from FANUC, Universal Robots, and KUKA intelligent and accessible — without requiring manufacturers to write thousands of lines of custom code.
"We're trying to make it accessible for anyone," Intrinsic CEO Wendy Tan White told CNBC. "It doesn't matter what the hardware is and it doesn't matter what the AI model is. We will help you put that together so you can have access to it."
The timing is deliberate. McKinsey projects the general-purpose robotics market could reach $370 billion by 2040, and the current AI infrastructure boom is creating enormous demand for automated manufacturing. Late last year, Intrinsic and Foxconn announced a joint venture to deploy AI-powered robots for electronics assembly in Foxconn's U.S. factories — a direct response to the surging need for AI server hardware that currently relies on a patchwork of rigid automation and manual labour.
Intrinsic's flagship product, Flowstate, is a web-based platform that lets users build robotic applications through simulation and AI-enabled behaviours rather than traditional programming. The company also maintains open-source tools for robot application development, mirroring the same ecosystem playbook that made Android dominant.
The integration with Google's AI stack is the real force multiplier. Intrinsic's team will work closely with DeepMind's technology from research through deployment, and will tap directly into Gemini's multimodal capabilities. Google debuted Gemini Robotics and Gemini Robotics-ER models in mid-2025, bringing generative AI into physical action commands. Last month, the company partnered with Boston Dynamics — the very company it once owned — to integrate Gemini into Atlas humanoid robots built for manufacturing environments. In November, DeepMind hired Boston Dynamics' former CTO.
The competitive landscape is formidable. Amazon has been steadily building robotic capabilities across its logistics empire, and Tesla continues to develop its Optimus humanoid robot. But Google's bet is different in kind: rather than building robots, it wants to be the intelligence layer that powers everyone else's machines. It is a platform play, not a hardware play, and it is precisely the strategy that made Google a $2 trillion company in mobile.
Whether Intrinsic can replicate Android's success in the far messier world of physical manufacturing remains an open question. Factories are not app stores, and the gap between a simulation environment and a real production line is vast. But with DeepMind's research capabilities, Gemini's multimodal reasoning, and the financial backing of one of the world's richest companies, Google has assembled the most credible attempt yet at building a universal robot brain.
A 2025 Deloitte survey of 600 manufacturing executives found that 80 percent plan to invest a fifth or more of their improvement budgets in smart manufacturing initiatives. The demand is there. The question now is whether Google can execute — and whether the robotics industry will embrace a shared platform the way phone makers once embraced Android.
If it works, the implications extend far beyond factory floors. The same software layer that teaches a KUKA arm to assemble circuit boards could eventually power warehouse robots, surgical assistants, and the humanoid machines that futurists have been promising for decades. Google is not just betting on robotics. It is betting that AI's next great leap will be into the physical world — and that whoever builds the operating system for that world will own the next era of computing.
