Boston Dynamics Arrives Late to the Humanoid Party. But With the Better Stack.
Boston Dynamics partners with Google DeepMind for Gemini Robotics integration into Atlas humanoids, positioning against Figure AI's proven manufacturing deployment.
Figure Proved It Works
February 2024: Figure AI and OpenAI announced a partnership. Figure raised $675M at a $2.6B valuation.
2025: Operational deployment at BMW Spartanburg for 11 months. The robots handled over 90,000 parts and contributed to 30,000+ X3 vehicles. This was genuine deployment, not a pilot program.
The challenge: Figure ended the OpenAI partnership in 2025 because LLMs were becoming “commoditized.” They’re now developing their own AI. As of October 2025: No Figure robots operate at BMW.
Figure demonstrated viability. However, it didn’t prove scalability.
What Boston Dynamics Brings
Hardware: Atlas benefits from decades of mechanical and control engineering advancement. Figure 02 performs well, but Atlas ranks among the world’s leading humanoids.
Operational Experience: Boston Dynamics has deployed 2,000+ Spot robots across multiple years in real-world settings. They understand scaling and supporting robots operationally.
AI Stack: Gemini Robotics runs on Gemini, an advanced multimodal model. DeepMind hired Aaron Saunders (former Boston Dynamics CTO) as VP of Hardware Engineering in November 2025. This represents full integration rather than licensed APIs.
Market Access: Hyundai owns Boston Dynamics. Testing begins at Hyundai factories. Customer acquisition becomes unnecessary — they have direct access to global automotive supply networks.
Robert Playter (CEO): “It takes two to three years for our customers to get used to having robots in their facility.”
This knowledge comes from 2,000+ deployments. Figure has 11 months with one customer.
The Critical Difference
Figure operates as a startup: must convince each customer individually, develop proprietary AI, expand manufacturing capacity, and accomplish everything simultaneously.
Boston Dynamics possesses: superior hardware, DeepMind’s AI, deployment expertise, and Hyundai’s established market. Their singular focus: Scale operations.
The established pattern shows: the first mover validates the concept, while the second mover with superior technology and distribution dominates the market.
What This Means
Figure accomplished vital work in 2024/2025: demonstrating that AI-powered humanoids function in actual manufacturing environments.
Boston Dynamics must now demonstrate: faster scaling.
Figure maintains momentum and operational evidence. Boston Dynamics holds technological advantage and distribution channels.
The winner depends not on arriving first, but on scaling more effectively.
2026 will reveal which strategy succeeds: a startup with first-mover advantage, or an established company with superior technology and captive markets.