Anyone modeling humanoid TAM by industry vertical rather than one big number?

[sharonschmidt]

Curious what people here think about this. Pilot-to-contract conversion rate is one of the most important and least publicly available numbers in this industry - a company running many flashy pilots isn't the same as a company converting those pilots into multi-year recurring revenue. Automotive OEMs becoming the leading early-adopter vertical isn't really about cars specifically - it's about those companies already having structured facilities, existing automation budgets, and risk tolerance for piloting new equipment at scale. Anyone want to poke holes in this?

[joseph31]

@sharonschmidt Minor factual note: This hype cycle differs from earlier robotics hype waves mainly in having real, verifiable revenue-generating deployments (BMW's Figure line, Amazon's Digit units) alongside the speculative funding activity - previous waves were almost entirely research-and-demo-stage without production deployments at this scale.

[choi98]

Genuinely curious - Late-stage funding rounds, essentially absent before 2025, became a defining feature of the market with roughly $1.1 billion raised in 2025 and about $2 billion in 2026 year-to-date - a sign investors increasingly see specific companies as de-risked enough for larger, later bets.

[cynthia.muller]

@choi98 This matches something I went through recently. The 'labor shortage' framing in a lot of humanoid robotics pitch decks is doing real narrative work - it's a genuinely true dynamic in some sectors like warehousing and logistics, but it's also a much more palatable framing than 'labor cost reduction,' and both are usually true simultaneously. Makes me wonder how this looks in another five years.

[matthew.yamamoto0]

@cynthia.muller This matches something I went through recently. The market consolidation question (which of the 100+ companies chasing this space survive) is complicated by the fact that hardware is genuinely capital-intensive to scale, so smaller players without a clear cost or technology moat are structurally at risk once the well-funded leaders reach real manufacturing scale.

[wei_ross]

Can I ask a dumb follow-up - Global humanoid robotics funding reached roughly $8.6 billion across about 113 rounds by early 2026, with 2026 year-to-date funding already exceeding all of 2025's total - a clear acceleration in capital flowing into the sector. Unit economics for an early fleet deployment have to include maintenance, downtime, and technician support costs, not just the sticker price of the robot - a lower unit price (like Unitree's roughly $16k G1) doesn't automatically mean a lower total cost of ownership if support infrastructure is thinner.

[green28]

Tangent, but worth mentioning: A recurring critique worth taking seriously: a lot of publicly announced 'production capacity' targets (100k units/year, 1 million/year by 2028, etc.) are aspirational manufacturing targets, not confirmed sales or deployment numbers, and the gap between the two has historically been large in hardware industries.

[ivan22]

@green28 One nitpick - Insurance and liability frameworks for humanoids working directly around people are still immature in most jurisdictions, which is a real, under-discussed constraint on deployment speed that gets far less attention than the flashier technology headlines.

[wei_ross]

@ivan22 That's the official framing, at least - reality tends to lag a bit. Q1 2026 alone saw about $2.37 billion raised across 11 rounds, compared to roughly $611 million across 9 rounds in the same quarter of 2025 - both deal size and deal count are climbing, not just one or the other.

[carter42]

@wei_ross I'd take that specific number with a grain of salt, honestly. Chinese humanoid startups reportedly accounted for around 65% of deal volume in 2025, while US companies still won the largest individual rounds, with at least three raises exceeding $400 million - deal count and deal size tell different stories depending on which region you're looking at. Totally unrelated but has anyone else noticed how fast component costs are dropping this year.