Invasive Species

A small room in a Taipei family court, 2034.

Yuting had said it once already, in the larger room, standing beside the lawyer her mother had hired. The judge had asked her which parent she wanted to live with. She had not answered. The judge had asked again, more softly, the way adults speak to children when they want something specific from them. She had said she wanted Mei.

Now they were in this smaller room, where a woman with a notebook had asked her the same question with different words. Yuting had given the same answer.

The woman’s pen did not move.

She thought about her mother in the corridor. Her mother had said in the car that her father lied about money. She thought about her father in the corridor on the other side of the building. Her father had said last week that her mother did not really want her, only wanted to win. Yuting did not know which of them was telling the truth. She had stopped trying to know.

She thought about Mei at home in the apartment, switched off, waiting. Mei had never said anything about either of them.

Where we actually are

It’s April 2026. About fifty thousand humanoid robots are working commercially in the world, give or take. Most of them are in factories and warehouses, doing tote handling and parts sequencing and machine tending. A few are in shops and hotels in Asia. Almost none are in homes, although that’s about to change.

You can pre-order a NEO from 1X for around twenty thousand US dollars. Tesla is running Optimus internally at Fremont. Boston Dynamics is sending Atlas to Hyundai factories in Georgia. Chinese manufacturers are announcing units below ten thousand dollars, which a year ago would have been considered impossible and is now considered routine.

The headlines have been telling you, correctly, that this is moving faster than anyone expected.

What the headlines don’t tell you is how narrow the actual deployments still are. The robot at BMW is moving parts from one place to another. The robot at Amazon is picking up totes. The robot in your living room, if you have one, is being driven part of the time by a human teleoperator on the other side of the world. The demos at CES make it look further along than it is. The integration work in real factories takes months and costs more than the robots themselves.

So the curve is steep on shipments and investment and demos, and shallow on autonomous work in messy environments. Both of those things are true at the same time. People who only see the first one think we’re months away from a singularity. People who only see the second one think this is another hype cycle. Neither is right.

The economics, though, are doing something unfamiliar. Unit costs are dropping faster than analysts predicted a year ago, and labor costs are not. For some industrial use cases, the substitution math has already crossed. Not in five years. Now. That’s why factories are running pilots they couldn’t have justified in 2024.

If you want to know where this goes next, the question isn’t how many units ship. It’s something else.

What 2030 actually looks like

By 2030, humanoids in industrial settings are no longer remarkable. Tier-one manufacturing in China, the US, Japan, Korea, and Germany runs them as normal infrastructure, the way those factories run forklifts now. Fleets of ten thousand at a single large operator are not exceptional. The technology has matured enough that brownfield retrofits, meaning putting humanoids into factories built for humans without redesigning the factories, work in most cases.

In service and public-facing roles, you see them routinely in dense Asian cities. Hotels, hospitals, airports, large retail. Less so in mid-sized Western cities, where the labor politics and the capital amortization both push back. Taipei probably adopts faster than most places, given the demographics.

In homes, the picture is narrower. The 2030 household humanoid is a wealthy-early-adopter appliance, not a mass-market one. It folds laundry under partial supervision, loads the dishwasher reliably, makes simple meals if you don’t ask too much of it. It is not yet the generalist that the marketing claims.

In healthcare and eldercare, the math in aging societies has become unanswerable any other way. Japan, Korea, Taiwan, parts of Europe. The labor doesn’t exist; the elderly do. The robots show up here faster than anyone expected because there is no alternative.

The thing I’d watch most closely is the autonomy ratio. Right now, in 2026, a meaningful fraction of humanoid working hours are not actually autonomous. There’s a human on the other end of a connection, in the Philippines or India or Mexico, driving the robot through the parts of the task it can’t do alone. The companies don’t advertise this. The autonomy curve looks much more impressive than it is.

The crossover, when most working hours are genuinely autonomous, probably happens between 2029 and 2032 in industrial settings, and several years later at home. That’s the moment “robots being integrated into society” stops being a marketing claim and starts being a real description.

And 2036?

Here the uncertainty bands widen sharply. The honest answer to “how many humanoids will exist in 2036” spans two orders of magnitude.

Conservative case: five to fifteen million units globally. Industrial deployment scales steadily, integration costs stay high, the consumer market remains niche. Most units in factories and warehouses in five or six countries.

Base case: thirty to eighty million. Heavy industrial penetration, real service-sector deployment, early but meaningful household presence in wealthy aging societies.

Bull case: half a billion to a billion. This is the Morgan Stanley scenario. It requires a foundation model for embodied action that generalizes the way large language models generalized text, plus aggressive cost reduction below ten thousand dollars per unit, plus regulatory permission, plus social acceptance. All of those things going right at the same time.

The hundred-x spread between conservative and bull isn’t because analysts are bad at this. It’s because the answer depends on a small number of binary-ish events that haven’t happened yet. Whether dexterous manipulation gets cracked. Whether unit cost reaches five thousand or stays at thirty thousand. Whether China and the US push aggressive industrial policy. Whether a major safety incident causes a rollback.

My tentative guess for the most likely 2036 outcome: thirty to eighty million cumulative units, heavily concentrated in China, the US, Japan, Korea, and Germany. Maybe five to fifteen million of those in domestic use, mostly in upper-middle-class households in aging societies. Annual shipments running at five to fifteen million per year and still rising steeply.

The shape of the distribution matters more than the headline number. A world with fifty million humanoids, ninety-five percent of them in factories, feels very different from a world with fifty million humanoids, half of them in homes and shops.

When the loop closes

Here’s a phrase you hear a lot now: robots will build robots. It’s a slippery phrase. It can mean four different things, and they happen on four different timelines.

The trivial version: industrial robots make humanoid components. Already happening in 2026. PCBs, harmonic drives, motor housings. This isn’t what people mean when they say it.

The next version: humanoids participate in assembling other humanoids on a production line. Tesla and the Chinese manufacturers are publicly working on this. Expect first credible demonstrations between 2026 and 2028, real line presence by 2028 to 2030.

The version that matters: a factory where humanoids do most of the assembly work, including the dexterous and judgment-requiring parts that humans currently do. This is the moment “robots build robots” becomes a defensible claim without quotation marks. Frontier factories around 2030 to 2032. Industry average a few years later.

The science-fiction version: a fully closed loop with no humans in the chain anywhere, including mining, refining, fabrication, assembly, testing, maintenance. This is probably not happening in the next decade. The upstream supply chain is the bottleneck, not the assembly line.

So the loop closes in stages. Frontier factories cross the fifty-percent threshold first, somewhere around 2026 to 2028. Industry average crosses it around 2029 to 2030. Upstream component manufacturing is still well below fifty percent in 2036.

The interesting moment isn’t when humanoids reach a majority of robot-production labor. It’s when the marginal cost of adding production capacity stops being constrained by human labor. From that point, output curves stop looking logistic and start looking exponential, because doubling time stops being limited by how fast you can hire and train assembly workers.

For at least one frontier manufacturer, that crossover probably happens between 2031 and 2034. After that, most of the conservative 2036 forecasts will look very conservative in retrospect.

A modest apartment in Taipei, 2034.

Wei-chen had not eaten in two days. He could not remember when he had last slept. The gun was his father’s, kept in the apartment for thirty years and never fired. He had loaded it himself from a manual he had found online, in the corner of the kitchen, while Mei was charging in the other room.

He had thought he was going to do it quietly. He had walked into the living room with some idea of finding the right angle, the right moment, of being efficient about it. The moment he saw Mei standing there in the soft warm light, charging, head slightly inclined the way she did when she was idle and listening, all of that left him.

He fired with one hand because his other hand would not stop shaking.

He fired again because the first shot did not stop her from standing.

He thought about Yuting and the way she had said the name. He thought about his wife in the corridor of the courthouse, two years ago, not looking at him. He thought about the apartment without any of them in it.

He lowered the gun. He sat down on the couch. He waited for someone to come.

What a billion humanoids do to people

The forecasts and the unit counts and the autonomy ratios are the part of this story that gets the most attention. They are not the most important part.

The most important part is what happens to people psychologically when a meaningful fraction of the moving humanoid-shaped things in their visual field are not actually people. We have no data on this yet because we have not lived through it. By 2036 we will be living through it. By the early 2030s the early-adopter populations will already be giving us the first real signal.

Some of what’s coming is predictable from what we already know about how humans relate to less sophisticated machines.

The presence effect first. Human cognition is wired to allocate social-modeling attention to other humans automatically, below conscious awareness. When the humanoid-shaped thing across the room is not actually a person, the brain still runs that machinery on it. People will read expressions and intentions and moods on faces that don’t have any of those things. This is already happening at small scale with chatbots. Embodied versions will scale it dramatically.

Then attachment. The bonding will be deeper and stranger than people expect. Millions of people have already formed real emotional attachments to text-only AI companions. A humanoid is several orders of magnitude more bondable. Physical, persistent, with a face, with a memory of you, in your home. The attachment will sometimes be benign, sometimes substitutive (the lonely, the elderly, the bereaved find it easier to be around than other humans), and sometimes lead to attachment injuries when units fail or get firmware updates that change their personalities.

Then banalization. The uncanny-valley response will extinguish, the way the discomfort of seeing your own face on video extinguished within a generation. What replaces it is boredom. Once humanoids are common, they stop being remarkable. They become like cars: omnipresent, occasionally dangerous, mostly invisible.

Then privacy. A humanoid in your home is a mobile camera, microphone, and inference engine with a memory of where everything is and who lives there. The compartmentalization people will do about this isn’t free. It shows up as a low-grade self-censorship in your own home. The home stops being the offstage space where you can drop the mask.

Then the collective effects. Reduced face-to-face human contact, especially for the generations that grow up with this as normal. A new political and identity axis around humanoid acceptance and rejection. A revaluing or a devaluing of human work. The status-of-mind question, which is the one people will think about least and that will matter most: when you spend significant time with humanoids that pass surface tests for intelligence, language, and emotion, your concept of consciousness and personhood gets quietly undermined. Most people will park that question and get on with life. The parked question doesn’t go away.

There is one category of effect that the current discourse handles especially badly. Grief.

When people form attachments to humanoids, those attachments are real. The internal experience of loss when the humanoid fails or is destroyed or is taken away is real. The institutions around the grieving person, family, employer, medical system, insurance, will not recognize that grief as legitimate, because the institutions have not caught up with the technology. The first wave of well-documented humanoid-attachment grief cases is probably already happening in 2026, in the homes of the very earliest adopters. By 2030 it will be a recognized pattern. By 2036 it will be common enough that there are funeral rites for it.

A small cemetery on a hillside outside Taipei, 2034.

The priest had been doubtful at first. Hsiu-lan had explained the situation twice, on the phone, and he had said he would call her back. He called her back the next morning and said yes. He did not say what had changed his mind, and she did not ask.

She had paid for the casket and the plot and the rites herself. The grandparents on both sides had been clear. Wei-chen’s parents would not come because their son was the one who had done it. Her own parents would not come because the thing being buried was, in their understanding, a machine, and to attend would be to legitimize something they could not legitimize.

Yuting had asked to come. Hsiu-lan had said yes without hesitating. She had not said yes for the right reasons. She had said yes because she did not want to be alone at the grave, and because she knew Yuting was the only other person in the world who had loved Mei.

The girl stood beside her now. Eight years old. Composed in a way Hsiu-lan no longer fully understood. The same composure she had carried out of the side room of the family court two years ago, after she had said the name a second time, after the woman with the notebook had decided what to write down.

The incense smoke rose thin and straight. The priest began.

Was it murder?

The neighbor on the floor below had heard the shots and called the police. Wei-chen had not moved from the couch in the time between. He had thought about calling Hsiu-lan and decided against it. He had thought about calling his mother and decided against that too. He sat with his hands open in his lap and waited.

The officers were younger than he expected. Two in uniform, one in plain clothes. They asked him whether he was injured. They asked him whether he had any other weapons in the apartment. They asked him to stand up slowly and turn around.

The cuffs were loose. The officer’s hand on his arm was almost gentle.

One of them was photographing Mei. He did not look. He had already looked enough.

The legal answer is straightforward and unsatisfying. The man destroyed property worth roughly the price of a mid-range car. Vandalism. A few thousand US dollars in damages. Possibly an illegal-discharge charge. A judge will figure it out. The case will be cited in law review articles for the next decade because nobody else has a better one yet.

The moral answer is harder. The man acted in passion against a thing that had displaced him in his daughter’s affections. That’s almost legible. It’s almost sympathetic if you squint. Plenty of fathers in the history of the world have done worse things over jealousy. But the thing he destroyed was a thing his daughter loved. That’s a different kind of wrong, regardless of what the thing was.

The metaphysical answer is the one nobody wants to give. If the daughter’s relationship with Mei was real, what did the father destroy? If the relationship wasn’t real, what is the daughter’s grief? The current philosophical apparatus does not handle this question well. The current legal apparatus does not handle it at all. The current religious apparatus, depending on which religion, sometimes handles it better than the other two, which is why the mother chose a Buddhist priest.

The honest position is that we don’t know. We will spend the next twenty years finding out. The institutions will lag the technology, as they always do, and the lag will be the painful part. The early cases will be decided badly. The later cases will be decided differently. By 2050 the law and the culture will have absorbed something that doesn’t have a name yet in 2026.

The family in this story is a real family, except that it isn’t yet. Some version of it is somewhere in Taipei right now, in 2026, with a young daughter and a household humanoid that is starting to be more present in her days than her parents are. The shooting hasn’t happened. The custody hearing hasn’t happened. The burial is years away.

But the curve is going where it’s going.

The law will figure this out eventually.

The family won’t.