SoftBank and Nvidia Invest in Skild AI at $14 Billion Valuation | Robotics & AI News

SoftBank and Nvidia Eye $14 Billion Investment in Skild AI: A Major Move in Robotics and AI

On 8 December 2025, reports confirmed that SoftBank and Nvidia are exploring a potential investment in Skild AI, which could value the company at approximately $14 billion. This investment represents a significant step not only for Skild AI but also for the broader robotics and artificial intelligence sectors.

Founded in 2023 by former Meta AI researchers, Skild AI develops foundation AI models that provide robots with human-like perception and decision-making capabilities. Unlike traditional robotics companies, Skild AI does not manufacture hardware. Instead, its models enable robots to operate autonomously across diverse environments. Previously, the company was valued at around $4.7 billion, and this new round of investment could nearly triple its valuation, highlighting the growing interest and capital inflow into AI and robotics.

SoftBank has already made robotics a central part of its strategic initiatives and has invested in several international robotics projects. Nvidia’s involvement is equally strategic, given the company’s leadership in AI chip technology and computing infrastructure. This partnership could provide Skild AI with both financial support and technical expertise, strengthening its growth trajectory.

The potential benefits of this investment include the development of general-purpose robots capable of functioning in industrial, commercial, and domestic settings. These robots could boost productivity, reduce labor pressures, and introduce innovative technologies across various sectors. However, experts caution that developing truly general-purpose robots is technically complex, and bringing them to market effectively may take several years.

Overall, SoftBank and Nvidia’s potential investment in Skild AI marks a significant milestone in the AI and robotics space. If successful, it could accelerate AI-driven automation and the deployment of intelligent robots across industries and daily life. The ultimate success of this initiative will depend on technological progress, market adoption, and ongoing research and development, with tangible results likely to unfold in the coming years.