At NewsTrackerToday, we’re tracking a clear reorientation of the AI investment landscape: capital is flowing from purely digital models toward physical intelligence – systems capable not only of generating text or images, but of acting autonomously in the real world. This shift helps explain why Skild AI, a three-year-old robotics software company, is now in advanced discussions to raise more than $1 billion at a valuation near $14 billion, a massive leap from its last valuation earlier this year.
Skild AI positions itself not as a robotics manufacturer, but as the intelligence layer for robots of every shape and purpose. Instead of producing hardware, the company builds a foundational model capable of controlling different robotic platforms – a “Skild Brain” that can be adapted for household machines, industrial automation, logistics environments, or mobile robots. Earlier internal demonstrations showed robots performing tasks that were traditionally considered too complex for generalized models: climbing stairs, manipulating delicate objects like tableware, and navigating cluttered spaces.
From the perspective of NewsTrackerToday technology analyst Sophie Leclerc, this approach represents a profound strategic shift. “If Skild establishes itself as the universal brain for next-generation robotics, it effectively becomes the operating system of the physical world,” she explains. “That’s the type of infrastructure role that can redefine entire industries.”
Investor enthusiasm reinforces this trajectory. Major technology investors and corporate partners view robotics as the next frontier for AI deployment, especially as enterprises push for automation in logistics, manufacturing, healthcare and home assistance. By partnering with companies such as LG CNS and Hewlett Packard Enterprise, Skild AI is embedding its software into large-scale real-world testing environments – a crucial step for training models that can generalize across tasks and physical contexts.
Financial analyst Liam Anderson of NewsTrackerToday describes the investment dynamics bluntly: “Software-first robotics rewrites the unit economics. If intelligence is modular and transferable across platforms, investors are no longer funding factories – they’re funding an AI ecosystem with cloud-level scalability.” This shift explains why valuations across the robotics sector have surged, even for young companies in early stages of product deployment.
The broader market confirms a mounting appetite for transformational robotics technologies. Humanoid-robot developers have raised multibillion-dollar rounds, and companies focused on autonomy frameworks – from locomotion to manipulation – are attracting strategic investment from major technology players. What sets Skild AI apart is its refusal to tie itself to a single hardware form: its foundational model is designed to function as the connective tissue of the robotics economy, rather than a vertically integrated product.
This strategy aligns with a deeper structural trend: enterprises increasingly want flexible, updatable AI systems that can be deployed across multiple environments without requiring bespoke hardware. As interest grows, capital is beginning to consolidate around companies capable of producing generalizable robotic intelligence – the same way the generative-AI boom consolidated around foundational language models.
From our vantage point at News Tracker Today, the potential SoftBank–Nvidia round would signal more than a large valuation jump. It represents a defining moment for the institutionalization of robotics as a core pillar of the global AI market. If the deal is finalized at the projected scale, Skild AI stands to become one of the essential architects of autonomous systems – shaping not only the future of AI-driven machines, but the competitive boundaries of the entire technology ecosystem.
