Physical AI Pulled In $47.4B in H1 2026: Four Times the Money, a Flat Deal Count
Capital flowing into robotics and embodied AI nearly quadrupled in six months, while the number of rounds barely moved. For Vietnamese angel investors the question is not whether to join, but at which layer.

Physical AI funding in H1 2026 (Crunchbase)
Deals in H1 2026, versus 470 in H2 2025 (Crunchbase)
Robotics funding in 2026 through mid-June, above the $15B of all of 2025 (Crunchbase)
Crunchbase data shows that in the first half of 2026, physical AI companies — robotics, drones, aerospace and autonomous machines — raised $47.4 billion across 521 deals. In the second half of 2025 the same cohort raised $12 billion across 470 deals. Capital rose almost fourfold; the deal count rose by about a tenth.
Four times the money, but not a wider door
Dividing those same two figures, the average round size in the sector moved from roughly $26 million to roughly $91 million in six months. In other words, the new capital is not creating room for new companies; it is going to names already on the list. For angel investors that distinction matters: the heat is at later stages, not at seed.
Within robotics alone, Crunchbase counted $18.8 billion invested in 2026 as of its mid-June report, against $15 billion for all of 2025 and $14.1 billion in the 2021 funding peak. A sector long viewed as expensive and slow to return capital is being repriced.
Valuations running ahead of revenue
In March 2026, 37 companies joined the Crunchbase unicorn board — the highest monthly count in close to four years — with robotics leading at six names, three of them Chinese. The largest round that month was the $1 billion raise by Advanced Machine Intelligence, Yann LeCun's Paris-based lab. In June, another 34 companies joined, adding more than $110 billion in value; ten frontier labs accounted for $65 billion of that, with DeepSeek the highest at $50 billion.
“Venture investors appear to increasingly see physical AI as the next leg of the broader AI boom.”
Hardware does not run on software's clock
- Capital intensity: money goes into tooling, components and pilot lines — spending that is not recoverable if the product pivots.
- Supply chains set the schedule: component lead times, not coding speed, determine launch dates.
- Gross margins are lower than in software, so the same revenue supports a smaller valuation at the next round.
- Acquirers are mostly industrial groups, so due diligence runs longer and leans on certification, safety and engineering documentation.
The context matters: per Crunchbase, global startup funding hit a record $510 billion in the first half of 2026, and $42 billion in August alone, up 122% year over year. Physical AI is riding a cycle larger than itself. When that cycle slows, the most cash-hungry cohort feels it first.
Sources
- 01Crunchbase News — VCs Pour Billions Into Physical AI As The Next Wave Of AI Investing Takes Shape (18/8/2026) ↗
- 02Crunchbase News — Sector Snapshot: Robotics Startups On Fire As Venture Funding Surges To Record Numbers In 2026 ↗
- 03Crunchbase News — The New Unicorn Count Reached A 4-Year High In March, Led By Robotics, Frontier Labs And AI Infrastructure ↗
- 04Crunchbase News — Led By DeepSeek, 10 Frontier Labs Rush Onto The Crunchbase Unicorn Board In June ↗
- 05Crunchbase News — Global Startup Investment Hit Record $510B In H1 2026 ↗
This article summarises market information and is not investment advice. Vietnam Angel Network does not provide personalised investment advice.