In early September 2026, OpenAI CEO Sam Altman confirmed on the Sources podcast that OpenAI will build its own humanoid robot — hardware included, not just a model for someone else's chassis. A month earlier, Google DeepMind went the opposite direction, shipping Gemini Robotics 2 as a licensable whole-body intelligence layer that runs on other companies' robots, including the Apptronik Apollo 2 demo.
So the race to put a robot in your living room now has two completely different strategies. Here is what each one actually means for home buyers.
What OpenAI actually announced (and what it did not)
Altman's answer was short. Asked whether OpenAI was developing humanoids or machines for data centers, he said "Both" — adding "We will definitely do a humanoid. We will do other form factors as well."
That is a strategy confirmation, not a product announcement. As of September 2026, OpenAI has disclosed no prototype, no delivery schedule, no production target, and no manufacturing partner. Treat it as intent with hiring behind it, not a shipping product.
The hiring is the real signal. OpenAI has roughly 19 open robotics positions in San Francisco, including four focused on actuators plus a technical program manager for actuator work. Actuator design roles covering motors, transmissions, sensing, and thermal architecture — with manufacturability requirements — go far deeper than what you would need to drop a model onto an existing commercial chassis. Actuators can account for 40 to 60 percent of a humanoid's bill of materials, so building this competence in-house is a multi-year commitment, not a side project.
Context matters too: OpenAI participated in Figure AI's $675 million funding round in 2024, but Figure ended that collaboration in February 2025 to develop its own models in-house. OpenAI's previous robotics project shut down in 2021, reportedly in part over insufficient physical interaction data. Building and operating its own robot fleet would give OpenAI direct access to exactly that data — what the robot attempted, how hard it gripped, what moved as a result.
Altman also set expectations honestly: industrial infrastructure and manufacturing come first, household adoption later. Nobody should expect an OpenAI home robot next year.
What Google actually shipped
Gemini Robotics 2, announced July 30, 2026, is a real product developers can use today — and that is the fundamental difference. It has three parts:
- Gemini Robotics 2 (VLA): a vision-language-action model that converts vision and language input into motor control, capable of whole-body humanoid control "from feet to fingertips" plus dexterous two-handed manipulation.
- Gemini Robotics ER 2: an embodied reasoning model for multi-step task planning and multi-robot teamwork, available now on Google AI Studio.
- Gemini Robotics On-Device 2: a local model that runs on the robot itself and adapts to entirely new robot bodies with only a few hours of data.
The headline demo ran on Apollo 2 — Apptronik's current-generation humanoid, which operates in both bipedal and wheeled-base configurations at its Austin Robot Park and customer sites. Apptronik's data from teleoperation feeds directly into the DeepMind collaboration. That is the licensing model working in public: Apptronik builds bodies and collects deployment data, Google supplies the intelligence layer.
Brain vs Body: Which Strategy Reaches Your Living Room First?
What exists today
- OpenAI: build the body
- Job listings, no prototype
- Google: license the brain
- Shipping models, public demos
Data strategy
- OpenAI: build the body
- Own fleet generates own data
- Google: license the brain
- Partner fleets generate shared data
Time to your home
- OpenAI: build the body
- Years (industrial first)
- Google: license the brain
- Faster path via partners already deploying
Risk
- OpenAI: build the body
- Hardware is brutally hard; 2021 failure precedent
- Google: license the brain
- Dependent on partners' bodies and safety
Home relevance
- OpenAI: build the body
- Altman says personal robots eventually
- Google: license the brain
- On-device adaptation suits varied home layouts
| OpenAI: build the body | Google: license the brain | |
|---|---|---|
| What exists today | Job listings, no prototype | Shipping models, public demos |
| Data strategy | Own fleet generates own data | Partner fleets generate shared data |
| Time to your home | Years (industrial first) | Faster path via partners already deploying |
| Risk | Hardware is brutally hard; 2021 failure precedent | Dependent on partners' bodies and safety |
| Home relevance | Altman says personal robots eventually | On-device adaptation suits varied home layouts |
Google's approach reaches real environments sooner because it rides on hardware that already exists. But it inherits every limitation of its partners' bodies — and none of those partners are selling a home robot today either.
OpenAI's vertical bet could eventually produce a tightly integrated product, the way owning both hardware and software worked for the iPhone. But humanoid hardware has killed optimistic timelines before — including OpenAI's own 2021 exit.
What our database says about who is actually closest to home
Strip away the lab announcements and look at purchasable or pre-orderable home humanoids in the ui44 database:
- 1X NEO ($20,000 Early Access, $499/month subscription tier planned) remains the only home-focused humanoid with public pricing and a 2026 delivery window. Soft 30 kg body, 167 cm tall, designed for safe coexistence.
- Apptronik Apollo and Apollo 2 are enterprise platforms with no public pricing — Mercedes-Benz factory pilots, not living rooms.
- Figure 03 is pursuing the same vertical integration OpenAI now wants, but its autonomy claims deserve the skepticism we documented earlier — and Figure at least has physical robots iterating in warehouses, which is more than a hiring page.
Neither OpenAI nor Google changes this ranking today. Google's licensing model at least flows through Apollo 2, a deployed platform. OpenAI's body does not exist yet.
The deployment evidence gap is worth spelling out. NEO's home claim rests on three concrete things: public pricing ($20,000 Early Access plus a planned $499/month tier), a stated 2026 delivery window, and a body explicitly designed for coexistence — 30 kg soft construction at 167 cm, light enough that a bump is a scare rather than an injury. No other home-focused humanoid in our database currently combines all three. Apollo 2, by contrast, has stronger enterprise deployment evidence — an operating Robot Park in Austin, paying factory pilots such as Mercedes-Benz, and a teleoperation data pipeline that feeds the DeepMind collaboration directly. That makes Apollo 2 the better technology bet today, but it is not a home product: no public pricing, no consumer safety case, no living-room navigation story.
So what should a buyer actually do with these two announcements? First, treat them as timelines, not products. If you are considering a NEO preorder, neither the OpenAI confirmation nor Gemini Robotics 2 changes the calculus — NEO's delivery risk is about 1X's manufacturing and support, not about whose lab strategy wins. Second, if you are waiting for a cheaper or smarter option, Google's licensing path is the one to watch: an Apollo-class body running Gemini On-Device 2 that adapts to a new home layout with only a few hours of data is a plausible 2027–2028 enterprise-to-home story, whereas an OpenAI-built home body has no public milestone to track at all. Third, keep an eye on the data loop each strategy needs. OpenAI must build a fleet before it can learn from one; Google learns from every partner deployment but must keep those partners aligned. The first strategy to show weekly deployment hours in real homes — not demo videos — is the one to take seriously.
The honest takeaway
There is one more reason the licensing model matters for homes specifically: cost structure. A licensable brain amortizes its R&D across every partner chassis, so the intelligence layer gets cheaper as more bodies adopt it — the same economics that put Android in budget phones. A vertically integrated body, by contrast, must recover its full hardware R&D from its own unit sales, which pushes early pricing up (NEO's $20,000 Early Access tag is a preview of that math). If OpenAI follows the same path, expect its first robot to be expensive and enterprise-leaning regardless of long-term home ambitions.
Google is winning the short game: Gemini Robotics 2 is shippable software running on real robots now, and the on-device fast-adaptation story directly addresses the hardest home problem — every living room is different.
OpenAI is playing a longer game: owning the body means owning the data loop, and physical interaction data is the scarcest input in robotics. If actuators and manufacturing go well, a vertically integrated OpenAI home robot could leapfrog licensed-brain competitors — in the late 2020s, not next year.
For anyone deciding whether to buy a home humanoid today: neither announcement should change your plans. Watch 1X NEO deliveries and Apollo 2's DeepMind collaboration for real deployment evidence. Lab strategies are interesting; shipping robots are what matter.
Sources: Forbes (Sept 3, 2026) on Altman's Sources podcast confirmation and OpenAI actuator hiring; Humanoid Guide summary of the confirmation; Google DeepMind's Gemini Robotics 2 announcement (July 30, 2026). Robot specs and pricing from the ui44 database, last verified as noted on each robot page.
Related in the database
Use this article as a buyer workflow
Turn the article into a real verification pass grounded in the robots, manufacturers, categories, components, and countries it actually references.
OpenAI Builds a Humanoid, Google Licenses the Brain already points you toward 4 linked robots, 3 manufacturers, and 2 countries inside the ui44 database. That matters because strong buyer guidance is easier to apply when you can move immediately from a claim or warning into concrete product pages, manufacturer directories, component explainers, and country-level context instead of treating the article as an isolated opinion piece. The fastest next step is to turn the article into a shortlist workflow: open the linked robot pages, verify which specs are actually published for those models, then compare the surrounding manufacturer and component context before you decide whether the underlying claim changes your buying plan.
For this topic, the useful discipline is to separate the editorial lesson from the catalog evidence. The article gives you the framing, but the robot pages tell you what each product actually ships with today: sensor stack, connectivity methods, listed price, release timing, category, and support-relevant compatibility notes. The manufacturer pages then show whether you are looking at a one-off launch, a broader lineup pattern, or a company that spans multiple categories. That layered workflow reduces the risk of buying on a single marketing phrase or a single support FAQ.
The fastest win is to keep the article’s editorial framing tied to real product pages. That way you can test whether NEO, Apollo, and Apollo 2 still make sense once price, category, release timing, and surrounding manufacturer context are visible in one place. If you want a quick working shortlist, open Compare NEO, Apollo, and Apollo 2 next, then keep this article open as the reasoning layer while you compare structured data side by side.
Practical Takeaway
Every robot, manufacturer, category, component, and country reference below resolves to a real ui44 page, keeping the follow-up path grounded in database records rather than generic advice.
Suggested next steps in ui44
- Open NEO first so the article’s main point is anchored to a real robot page.
- Use 1X Technologies to see the broader company context around the products linked in the article.
- Open the linked component pages when you want to separate a shared technology pattern from a single-brand story.
- Build a working shortlist with Compare NEO, Apollo, and Apollo 2.
- Keep a short note of what is already verified in the article and what still needs live confirmation from current vendor documentation.
Robot profiles worth opening next
Use the linked product pages as the evidence layer
The linked robot pages are where this article becomes operational. Instead of asking whether the headline is interesting, use the robot entries to inspect the actual mix of sensors, connectivity options, batteries, pricing, release timing, and stated capabilities attached to the products mentioned in the article. That is the easiest way to see whether the warning or opportunity described here affects one product family, a specific design pattern, or an entire buying lane.
NEO
1X Technologies · Humanoid · Pre-order
NEO is tracked on ui44 as a pre-order humanoid robot from 1X Technologies. The database currently records a listed price of $20,000, a release date of 2025-10-28, ~4 hours battery life, Not disclosed charging time, and a published stack that includes RGB Cameras, Depth Sensors, and Tactile Skin plus Wi-Fi and Bluetooth.
For general buyer research, this route gives you the concrete profile that the article alone cannot. Compare the published capabilities of Household Chores, Tidying Up, and Safe Human Interaction with the linked alternatives so the final decision is based on actual product fit, not just the framing of the article.
Apollo is tracked on ui44 as a active humanoid robot from Apptronik. The database currently records a listed price of Price TBA, a release date of TBD, ~4 hours battery life, Not disclosed charging time, and a published stack that includes Vision System, Force/Torque Sensors, and IMU plus Wi-Fi and Ethernet.
For general buyer research, this route gives you the concrete profile that the article alone cannot. Compare the published capabilities of Warehouse Operations, Manufacturing Tasks, and Heavy Payload (~25kg) with the linked alternatives so the final decision is based on actual product fit, not just the framing of the article.
Apollo 2 is tracked on ui44 as a active humanoid robot from Apptronik. The database currently records a listed price of Price TBA, a release date of 2026-06-30, Swappable batteries designed for 7x22 operation; per-pack runtime not officially disclosed battery life, Not officially disclosed; supports opportunity charging and tethering charging time, and a published stack that includes Perception systems, Configurable perimeter-zone safety detection, and Impact-zone safety detection plus Fleet Connect operations layer.
For general buyer research, this route gives you the concrete profile that the article alone cannot. Compare the published capabilities of Bipedal humanoid mobility, Wheeled-base humanoid mobility, and Dexterous manipulation with the linked alternatives so the final decision is based on actual product fit, not just the framing of the article.
Figure 03 is tracked on ui44 as a active humanoid robot from Figure AI. The database currently records a listed price of Price TBA, a release date of 2025-10-09, ~5 hours battery life, Not disclosed charging time, and a published stack that includes Stereo Vision, Depth Cameras, and Force Sensors plus Wi-Fi and Bluetooth.
For general buyer research, this route gives you the concrete profile that the article alone cannot. Compare the published capabilities of Complex Manipulation, Warehouse Work, and Manufacturing Tasks with the linked alternatives so the final decision is based on actual product fit, not just the framing of the article.
Manufacturer context behind the article
Check whether this is one product story or a broader company pattern
Manufacturer pages add the market context that individual product pages cannot show on their own. They help you check whether the article is centered on a brand with a deep lineup, whether that brand spans several categories, and how much of its ui44 footprint depends on one flagship model versus a broader product strategy.
1X Technologies
ui44 currently tracks 2 robots from 1X Technologies across 1 category. The company is grouped under Norway, and the current catalog footprint on ui44 includes NEO, EVE.
That wider brand context matters because the best buying decision usually depends on lineup depth and adjacent options, not just the one model featured most prominently in the article. The category mix here currently points toward Humanoid as the most useful next route if you want to see whether this article reflects a wider pattern inside the brand.
Apptronik
ui44 currently tracks 2 robots from Apptronik across 1 category. The company is grouped under USA, and the current catalog footprint on ui44 includes Apollo, Apollo 2.
That wider brand context matters because the best buying decision usually depends on lineup depth and adjacent options, not just the one model featured most prominently in the article. The category mix here currently points toward Humanoid as the most useful next route if you want to see whether this article reflects a wider pattern inside the brand.
Figure AI
ui44 currently tracks 2 robots from Figure AI across 1 category. The company is grouped under USA, and the current catalog footprint on ui44 includes Figure 03, Figure 02.
That wider brand context matters because the best buying decision usually depends on lineup depth and adjacent options, not just the one model featured most prominently in the article. The category mix here currently points toward Humanoid as the most useful next route if you want to see whether this article reflects a wider pattern inside the brand.
Broaden the scan without leaving the database
Categories, components, and countries add the wider context
Category framing
Category pages are useful when the article touches a buying pattern that shows up across brands. A category route helps you confirm whether the linked products sit in a narrow niche or whether the same question should be tested across a larger field of alternatives.
Humanoid
The Humanoid category page currently groups 129 tracked robots from 92 manufacturers. ui44 describes this lane as: Full-size bipedal humanoid robots built to work alongside people — from factory floors to household tasks. Compare the cutting edge of humanoid robotics.
That makes the category route a practical follow-up when you want to check whether the products linked in this article are typical for the lane or whether they sit at one edge of the market. Useful starting examples currently include NEO, EVE, Mornine M1.
Country and ecosystem context
Country pages give extra context when support practices, launch sequencing, regulatory posture, or manufacturer mix matter. They are not a substitute for model-level verification, but they do help you see which ecosystems cluster together and which manufacturers sit in the same regional field when you broaden the search beyond the article headline.
Norway
The Norway route currently groups 2 tracked robots from 1 manufacturers in ui44. That gives you a useful regional lens when the article points toward support practices, launch sequencing, or brand clusters that may share similar ecosystem assumptions.
On the current route, manufacturers like 1X Technologies make the page a good way to broaden the scan without losing the regional context that often shapes availability, documentation style, and adjacent alternatives.
USA
The USA route currently groups 89 tracked robots from 69 manufacturers in ui44. That gives you a useful regional lens when the article points toward support practices, launch sequencing, or brand clusters that may share similar ecosystem assumptions.
On the current route, manufacturers like Faraday Future, iRobot, Boston Dynamics make the page a good way to broaden the scan without losing the regional context that often shapes availability, documentation style, and adjacent alternatives.
Questions to answer before you move from reading to buying
A follow-up FAQ built from the entities already linked in this article
Frequently Asked Questions
Which page should I open first after reading “OpenAI Builds a Humanoid, Google Licenses the Brain”?
Start with NEO. That gives you a concrete product anchor for the article’s main claim. From there, branch into the manufacturer and component pages so you can tell whether the article is describing one specific model, a repeated brand pattern, or a wider technology issue that affects multiple shortlist options.
How do the manufacturer pages change the buying decision?
1X Technologies help you zoom out from one article and one product. On ui44 they show lineup breadth, category spread, and the neighboring robots tied to the same company. That context is useful when you are deciding whether a risk belongs to a single model, whether it shows up across a brand’s portfolio, and whether you should keep looking at alternatives before committing.
When should I switch from reading to side-by-side comparison?
Move into Compare NEO, Apollo, and Apollo 2 as soon as you understand the article’s main warning or promise. The article explains what to watch for, but the compare view is where you can check whether price, status, battery life, connectivity, sensors, and category fit still make the robot a good match for your own home and budget.
Where to go next in ui44
Keep the research chain inside the database
If you want to keep going, these follow-on pages give you the cleanest expansion path from article to research session. Open the comparison route first if you are deciding between products today. Open the manufacturer, category, and component routes if you still need to understand the broader pattern behind the claim.
Written by
ui44 Team
Published September 17, 2026
Share this article
Open a plain share link on X or Bluesky. No embeds, no widgets, no cookie baggage.