Analysis
Google DeepMind's Gemini Robotics 2 extends the company's robotics AI model to full-body control of a humanoid robot -- walking, crouching, and manipulating objects together -- where its predecessor handled only upper-body manipulation tasks. The model is video-native, meaning it learns to control a robot's movements from video input rather than requiring specialized, robot-specific sensor data.
That's a meaningful technical jump, not an incremental one. Most humanoid-robot AI to date has stitched together separate systems for locomotion and manipulation; a single model handling both end-to-end is closer to how the large language model wave collapsed dozens of narrow NLP tasks into one general-purpose architecture. It puts Google DeepMind in more direct competition with Tesla's Optimus program, Figure, and China's Unitree, all racing to prove a single foundation model can generalize across an entire robot's body instead of licensing or building separate subsystems.
“For robotics investors, the stakes are about which layer actually captures value over the next several years.”
For robotics investors, the stakes are about which layer actually captures value over the next several years. If a small number of foundation models end up powering most humanoid robots the way a small number of LLMs now power most AI applications, the hardware companies building on top of those models could end up with less differentiated economics than the model layer itself -- the same margin question that's already playing out in phones and PCs, where the OS and chip vendor often capture more value than the device assembler.
That question sits directly underneath the humanoid-robotics valuation debate playing out elsewhere on this page: whether Unitree's public listing or Figure's private mark holds up depends partly on whether either company controls its own full-body control stack or is ultimately a hardware integrator running someone else's model. A foundation-model provider with genuine full-body generalization has real leverage over every hardware maker that licenses it.
What to watch: whether Gemini Robotics 2 gets licensed to third-party humanoid-robot makers beyond DeepMind's own hardware partners, and how it performs head-to-head against Tesla's and Figure's in-house foundation models on real-world, unscripted tasks rather than choreographed demos.
