1X Bets $20,000 Humanoids Will Sell Before They Fully Work

1X Technologies plans to ship its first Neo home robots later this year at a list price of $20,000, with more than 10,000 customers already placing deposits, according to a New Yorker report. That order book, if it converts, points to a potential gross bookings figure north of $200 million for a product that its own CEO concedes remains an early version.

The gap between the deposit pipeline and the product's readiness is the central question for anyone weighing the humanoid robotics category as an investable market rather than a demo reel.

The order book versus the product

1X, formerly the Oslo-based security-robot maker Halodi, relocated to Silicon Valley in 2022 under CEO Bernt Børnich and rebranded around Neo, a 66-pound humanoid that stands five feet six inches. The company employs roughly 800 people at its headquarters, spanning assembly, testing, and R&D, per the report.

The $20,000 price and 10,000-plus deposits establish the revenue thesis. But the report is explicit that the product does not reliably perform its core tasks. In an October demonstration for the Wall Street Journal, Neo took more than a minute to retrieve a bottle of water. Børnich himself frames the near-term output as "robotics slop," tasks that are clumsily executed, and says Neo should not be used around small children.

For a hardware business, that combination matters. Deposits are not recognized revenue, and a product that under-delivers on first units carries elevated return and cancellation risk. The customer base described, wealthy early adopters in the Bay Area, Los Angeles, and New York treating the device as "the new iPhone," is precisely the cohort most likely to tolerate a v1 and most likely to churn if it disappoints.

What the category's own engineers are saying

The more telling signal comes from competitors and suppliers, who have a clearer read on the technical floor than any single company's marketing.

Deepu Talla, who runs robotics at Nvidia, told the New Yorker that "the world still doesn't have a ChatGPT equivalent for a robot." Carolina Parada, head of robotics at Google DeepMind, said the home use case "comes later," citing safety rather than capability or interest as the constraint. Jeff Cardenas, CEO of industrial-humanoid maker Apptronik, said that around small pets and small children "there's still work to be done."

That is a consistent message from three parties with commercial exposure to the space: the physical AI stack that would make a general-purpose home humanoid useful is not mature. For a market-focused reader, the implication is that near-term humanoid economics will be driven by narrow, supervised, industrial deployments rather than the open-ended home tasks that justify a premium consumer price.

The catch in the roadmap

The technical constraints are not incidental to the valuation story; they define the addressable market. A robot that cannot operate safely around children removes a large share of the household use cases that a $20,000 home device implies. Børnich's own biomimicry approach, tendons instead of motors, the compute module in the head rather than the chest, differentiates the hardware but does not close the software gap that Nvidia and Google DeepMind describe.

The report also notes that no one, including 1X, has a firm inventory of what Neo can and cannot do reliably. For a company preparing to ship physical units to paying customers, that uncertainty is the red flag: it shifts real-world validation onto early buyers.

Asia context

Humanoid manufacturing has drawn substantial capital and policy attention across Asia, particularly in China, where several firms are targeting the same industrial and consumer segments. The 1X case is a useful comparable for capital allocators in the region: a Western-based entrant with a solid technical foundation, per rival engineers, is still shipping an admittedly unfinished product against strong demand signals. That dynamic, deposits running ahead of capability, is likely to recur across the category regardless of geography, and it argues for underwriting these businesses on deployment economics and return rates rather than order-book headlines.

The read

1X has demonstrated that demand for a home humanoid exists at $20,000. It has not yet demonstrated that the product works well enough to convert that demand into durable revenue. Until there is data on delivered units, task-completion reliability, and cancellation rates, the deposit figure is a marketing metric, not a financial one.