Sources: AI robotics startup Physical Intelligence is in talks to raise $1B+ led by Avenir and Lux Capital at a ~$20B valuation, up from $11.5B earlier in 2026

Your AI robotics development costs could decrease as Physical Intelligence's broad hardware support matures.

AI robotics startup Physical Intelligence is reportedly in talks to raise over $1 billion in new funding, aiming for a valuation of approximately $20 billion. This potential round, which existing investors Avenir and Lux Capital are expected to lead, represents a significant increase from the company's previous valuation of $11.5 billion earlier in 2026. Despite having no current revenue, the startup's recent move to allow external developers to use and tailor its newest robotics models in a beta program has apparently boosted investor interest. Physical Intelligence, founded in 2024 by former Google DeepMind researchers and academics, develops AI software designed to power various types of robots, boasting its AI's ability to perform diverse motions across different hardware from multiple manufacturers. The competitive landscape includes major players like OpenAI and Tesla.

The substantial valuation jump for Physical Intelligence, a pre-revenue company, signals an intense investor appetite for AI robotics solutions, particularly those promising broad applicability across hardware. This trend suggests a market shift where foundational AI models for robotics are becoming as valuable as, or even more valuable than, revenue-generating applications in the short term. Investors are betting on future platform dominance and the potential for these AI models to become indispensable across various robotic use cases, from industrial automation to more specialized fields.

Competitors and developers in the AI robotics space should monitor Physical Intelligence's strategy closely, as its open beta program for its AI models could accelerate innovation and adoption. If successful, this approach might set a new standard for how robotics AI is developed and deployed, potentially leading to faster integration of advanced AI capabilities into diverse robotic systems and increasing the interoperability of hardware from different vendors.