Overview
Physical automation has been displacing blue-collar workers for over sixty years. Mechanized equipment started augmenting and replacing farm labor generations ago, industrial robot arms have welded car frames since 1961, and autonomous mobile robots have moved warehouse inventory since 2012.
Manual labor automation has been gradual but consistent over the last fifty years or so, but may be on the precipice of an accelerated growth cycle as robotics engineers make progress using generative AI to confront age-old constraints. This process is in its early stages and the timing and trajectory of this advancing technology remain uncertain.
Physical AI is running several years behind AI’s impact on knowledge work, mainly due to the relative lack of training data and the limitations on scale inherent in physical operations. Companies such as DoorDash, Uber, and Sunday Robotics are attempting to close the training data gap by paying gig workers to film themselves doing household chores, wearing sensor gloves, and recording physical tasks to generate this training data at scale.[1]
Significant progress in robotic AI suddenly seems possible with the AI revolution in full swing, leading to a rapid escalation in VC investment in the field. Annual humanoid VC ranged between $0.1 billion and $1.7 billion for nine years (2016 through 2024), then jumped to $4.8 billion in 2025, nearly triple the prior record. The first four months of 2026 alone brought $5.1 billion, already exceeding all of 2025 (PitchBook, data as of April 29, 2026). The broader robotics and physical AI sector attracted $27.7 billion across 1,009 deals in 2025, double the 2024 total, putting humanoids at roughly one in six sector dollars.[2][3][4]
[1] DoorDash launched its “Tasks” app on March 19, 2026, paying couriers to record household chores for AI/robotics training. Uber launched a comparable initiative in late 2025. Sunday Robotics ships sensor gloves to volunteers for motion data collection. Instawork recruits workers to clean homes wearing headband-mounted cameras. Sources: NBC News (Mar 20, 2026); Bloomberg (Mar 19, 2026); PYMNTS (Mar 25, 2026). ↩
[2] PitchBook, Q4 2025 Robotics & Physical AI VC Trends (Emerging Tech Research, published Mar 19, 2026; data as of Dec 31, 2025). Total robotics & physical AI VC: $27.7B across 1,009 deals in 2025, roughly double the 2024 total of $13.7B / 851 deals. Humanoid share computed: $4.8B of $27.7B ≈ 17% (about one in six dollars). pitchbook.com ↩
[3] PitchBook humanoid startup VC, global, announced deal value, data as of April 29, 2026, as published in “The limits of VC’s humanoid bet” (2026). Annual values ($B): 2016: 0.4; 2017: 0.1; 2018: 1.3; 2019: 0.5; 2020: 1.5; 2021: 0.8; 2022: 0.5; 2023: 0.4; 2024: 1.7; 2025: 4.8; 2026 YTD (Apr 29): 5.1. pitchbook.com ↩
[4] Cross-references: BofA Global Research put FY2025 humanoid VC at $4.3B (via Fortune, Mar 13, 2026), close to PitchBook’s $4.8B under a different cut. All-robotics VC approximately $14B in 2025, up 70% from 2024 (Crunchbase News, Feb 2026); humanoids therefore represent roughly a quarter to a third of robotics VC depending on the tracker and denominator used. ↩
Sources
[1] PitchBook, “The limits of VC’s humanoid bet” (2026); Q4 2025 Robotics & Physical AI VC Trends (Mar 19, 2026). pitchbook.com
[2] Gig training-data programs: NBC News (Mar 20, 2026); Bloomberg (Mar 19, 2026); PYMNTS (Mar 25, 2026).
[3] BofA Global Research humanoid VC via Fortune (Mar 13, 2026); Crunchbase News robotics funding (Feb 2026). news.crunchbase.com