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We skipped a community update last week. This one is denser than usual — less product tour, more argument. Nils walked through why we think automation can create retail work, why the next article will be even spicier, and how laundry robots and the Guard Act fit the same map of where physical AI actually lands.
About a week ago Nils published When robots create jobs. The short version: by 2030–2035 we expect more retail jobs from automation, not fewer — classic Jevons dynamics.
Jevons watched steam engines get more efficient and coal use rise, because efficiency made steam viable in more places. The ATM did something similar to bank tellers:
Automation shrinks labor per site and can expand the number of sites. That only happens under the right kind of company.
Two modes:
Our bet: AI and robots help growth companies more than rent-seekers. Over the next decade that tilts the economy toward firms still trying to improve the product — and makes pure rent-seeking harder to defend.
Nils’s next piece will push further: robots are going to end unemployment — at least as a more likely outcome over the next 10–20 years than mass joblessness from robotics.
How can labor shortages and unemployment coexist? Misallocation. Invisible taxes on civilization: bad communication of intent, idle mornings, rework because the first pass was wrong. 70% of the world economy is still tied to physical locations and labor, but the bottleneck our retail customers keep naming is not cheaper muscle. It is brains — field information and decision quality.
That is the capture → analyze → decide → execute loop again. Execution alone is not the prize. Wumart’s AI-run merchandising is still the external proof point Nils cites: on the order of a 258% sales lift — not a result you buy with cheaper hands. A large European operator with ~13,000 floor staff estimates 30–60 minutes per employee per day lost mainly to not knowing what to do next.
The historical frame he used: after agriculture, print, industry, and computers, we are in a cognitive — specifically intercognitive — revolution. Better resource allocation is the hockey stick, not just better actuators.
Nuance he owned on air: some people will still be hard to employ. The counter is not “AI is creative enough.” The counter is that AI lacks motivation — status, play, the will to impress — and a copilot still multiplies the people who have those drives.
From the recent Robots for the home or industry? essay and the stream: in dense Asian cities you may never own a laundry-folding robot, and still have every load folded by one. Hotel demos already chain a delivery bot → folding cell → delivery back. Compounds can keep folding robots busy around the clock.
Same pattern as cooking: a home cook-bot does not kill delivery if industrial kitchens and robot delivery get cheaper too. Shared / industrial deployment often wins on utilization before the living room does. Required density for a profitable micro-branch (laundromat for ~20 households, ghost kitchen for ~100) trends down as labor drops out of the unit economics — cities first, then suburbs.
Johannes’s home-robot bar from the chat, for color: roughly $100–200/month and on the order of ~30 minutes/day of cognitive load removed — less “time saved on a stopwatch,” more “laundry stops living in your head.”
Phil and Nils took the Guard Act / anti–Chinese-robot push head-on. Regulatory theater around SPAC narratives is one read; whatever the motive, a broad U.S. ban on Chinese platforms would slow our U.S. rollouts because American hardware is not ready at the same pace. It would not stop the map elsewhere.
Market reality as stated on the stream:
The U.S. is not the center of this industry’s gravity. Asia is. Europe is the larger Western growth story. A retaliatory squeeze on actuators, batteries, magnets, and rare earths is the obvious second-order risk if this escalates.
Cultural fit matters too: delivery bots ignored on Shenzhen sidewalks vs stomped in U.S. clips is not a product bug — it is adoption context.
Auki is making the physical world accessible to AI by building the real world web: a way for robots and digital devices like smart glasses and phones to browse, navigate, and search physical locations.
70% of the world economy is still tied to physical locations and labor, so making the physical world accessible to AI represents a 3X increase in the TAM of AI in general. Auki's goal is to become the decentralized nervous system of AI in the physical world, providing collaborative spatial reasoning for the next 100bn devices on Earth and beyond.
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