Physical AI Funding Surges as VCs Back Robotics, Autonomy and Defense Tech

Global venture funding for physical AI companies totaled $47.4 billion across 521 deals in the first half of 2026, according to Crunchbase data cited in the article. That is almost 4x the $12 billion raised across 470 deals in the second half of 2025, and nearly 80% above the $26.4 billion raised across 436 deals in the first half of 2025.

The article defines physical AI as including robotics, autonomous vehicles, aerospace, drones, industrial automation and sensors. One key takeaway: investors are increasingly treating AI not just as software, but as a driver of machines, infrastructure and real-world operations.

Several large financings drove the H1 2026 spike. Waymo’s $16 billion Series D in February accounted for nearly one-third of all venture dollars in the category and valued the company at $126 billion, with Alphabet, Dragoneer Investment Group, DST Global and Sequoia Capital co-leading the financing.

Other major rounds included Anduril Industries’ $5 billion raise at a $61 billion valuation, Shield AI’s $2 billion Series G at a $12.7 billion valuation, and Saronic’s $1.75 billion Series D at a $9.25 billion valuation. For readers tracking the market, the signal is clear: capital is concentrating around companies with large-scale autonomy, defense and physical-world AI ambitions.

The physical AI category has also produced notable exits in 2026, with activity more concentrated in aerospace, defense and drones than in robotics. SpaceX was described as the clear outlier, raising $75 billion in its June IPO at a $1.77 trillion valuation.

Other public debuts cited include HawkEye 360, which raised $416 million, and Aevex, which raised $320 million. On the M&A side, Mobileye’s roughly $900 million acquisition of Mentee Robotics was highlighted as a deal tied to its push into physical AI.

Investor commentary in the article frames physical AI as the convergence of software, hardware, sensors, IoT and services across real-world applications. Ryan Ziegler of Edison Partners pointed to manufacturing, supply chain, utilities, agriculture, transportation, government, and physical and spatial intelligence as areas of interest, especially where ROI can be measured through predictive maintenance, risk management, asset integrity, security and autonomous operations.

Joe Fath of Eclipse Capital described physical AI as intelligence embedded in systems that perceive, reason and act in the real world. His core point for founders and investors: customers value operational efficiency, reliability and revenue, not technical sophistication alone.