Physical Intelligence discusses $1 billion round at valuation over $11 billion

Physical Intelligence is in negotiations for a new funding round of approximately $1 billion. If the deal closes, the two-year-old AI robotics startup's valuation would exceed $11 billion when accounting for previously raised capital.

The

Round and Valuation According to sources familiar with the negotiations, the company is discussing raising around $1 billion. For the market, this is not just another large check: it involves a startup that is only two years old. With such a deal, Physical Intelligence could reach a valuation of over $11 billion including the new capital.

For a young company without a long public history, this is a very high bar, which means investors are willing to pay not for the current scale of the business, but for the expectation that the team will secure an important place in the next wave of AI. This round size demonstrates that interest in AI is gradually shifting from purely digital products to systems that operate in the physical world. While chatbots, image generation, and office AI assistants have already become familiar topics for the market, robotics remains a more complex and expensive bet.

The entry barrier is higher here, the development cycle is longer, and there are significantly greater quality requirements, because a model's error is no longer tied only to text on a screen, but to how a machine behaves in a real environment.

Who's

Behind the Project Physical Intelligence was founded by AI scientists and former researchers from Google DeepMind. This is an important detail, because in robotics, a team's reputation is often valued almost as highly as the current product. Success here depends not only on the idea, but on the ability to combine several complex layers: model training, environment perception, action planning, and control of real devices.

People from strong research groups are typically seen as those who can assemble such a system not at the demo level, but as an engineering platform. The very fact that the company is discussing such a large round so early indicates a high bet on its research and applied potential. For investors, this is a signal that the market is waiting not for another AI service layered on top of existing models, but for an attempt to create a more fundamental layer — intelligence that can not only respond in text but also perform actions in the real world.

In robotics, this is particularly valuable, because a model's error here is measured not only by answer quality but by how a machine behaves in physical space.

Why Money Is Going to Robots Interest in such companies is understandable.

After the explosive growth of generative AI, investors are looking for the next category where models can create not only content but also direct economic impact through action: moving objects, performing routine operations, assisting in manufacturing, logistics, or laboratories. This is precisely why AI robotics looks like a natural continuation of the current cycle. It is more complex than software, requires more capital, and takes longer to reach mass adoption, but when successful, it delivers far more significant infrastructure results.

• The company has existed for only two years The discussed round is around $1 billion The valuation could exceed $11 billion * The project was founded by AI scientists and former Google DeepMind researchers Large sums in this segment are typically needed not only for hiring engineers. AI robotics requires expensive experiments, data collection from real devices, computing resources, simulations, and lengthy testing cycles. Therefore, a large round in this area is simultaneously a bet on the team and recognition that building a useful platform for physical intelligence doesn't fit the budget of a typical IT startup. The earlier investors are willing to finance such expenses, the stronger their belief that the market is ready for the next jump.

What

This Means If Physical Intelligence closes the round on the stated terms, this will be another signal: the market is ready to value AI robotics almost at the level of the hottest software directions. For the industry, this means increased competition for teams, data, and hardware, and for business, it means the approach of a moment when AI will begin to deliver value not only on screen but in real operations.