Appendix II: Seven Domains of Daily Life, Two Stages Apart
Every grand thesis eventually lands on a dinner table, a mortgage, a commute and a child’s homework. The seven domains below share one unit of analysis: the everyday question → what the AGI transition changes first, and who captures the gains → life in the ASI branch → the conditions needed to get there → signals you can watch today. As you read, notice the gap between the two columns—that is where most people will actually live.
🌾 Food: From “We Can Grow It” to “We Can Eat It”
The everyday question: when algorithms make farming more efficient, why does what’s in the bowl change more slowly than expected?
AGI Transition · A Smarter Old Supply Chain
Weather and pest forecasting, precision fertilization, picking and sorting robots, and cold-chain and inventory optimization will cut waste significantly. But the main components of food prices—land rent, fertilizer and energy, transport, retail channels and brand premiums—do not disappear just because cognition gets cheaper. The savings go first to the companies that control seed patents, farm-data platforms and retail gateways.
More important still: humanity already produces enough calories to feed everyone, and hunger is mainly a problem of income and distribution. If the transition brings large income shocks, the people displaced may eat worse in a world with more food.
Everyday scene: in 2029, a grocery platform sets prices dynamically with real-time demand models, and less food expires in your fridge. At the end of the month you realize that what got optimized away was mostly waste, not price.
ASI Branch · Food Becomes a Problem of Energy and Chemistry
Given cheap, abundant energy and autonomous engineering, precision fermentation, cell cultivation and fully automated vertical farms could decouple most nutrition from land and climate—synthesizing proteins, fats and flavor molecules from electricity, carbon dioxide, water and microbes. Demand for farmland falls sharply, and some of it can return to forest and wetland.
In this branch hunger ends not because there is “more food,” but because basic nutrition is set up as universally available infrastructure. Meanwhile, human cooking, local terroir and slow-food culture become scarce experiences and expressions of identity.
Everyday scene: daily meals are portioned to your metabolic data; on weekends you drive into the mountains to a little restaurant still cooking over a wood-fired stove, and the line has never been longer.
The verdict: AGI optimizes “growing and shipping,” but barely touches “can I afford it”; only when production and distribution are rebuilt together could hunger become a word for the history books.
Conditions for the leap
The unit cost of energy keeps falling sharply; the cost of building bioreactors and factories collapses; synthetic foods pass long-term safety review and win consumer acceptance; a universal mechanism for providing basic nutrition exists.
Signals to watch: whether nutritionally equivalent synthetic protein retails below conventional meat; the annual growth of precision-fermentation capacity; whether food’s share of low-income household spending falls—not just whether corporate margins rise.
👕 Clothing: Design Is Free, Making Is Not
The everyday question: when AI can design ten thousand garments in seconds, what happens to your closet?
AGI Transition · Design Inflation and the Manufacturing Bottleneck
Generative design pushes the marginal cost of a new style close to zero, and trend cycles shrink from seasons to weeks. But sewing soft, shifting fabric into a garment has long been one of the hardest tasks for robots, and sewing still relies heavily on human hands. The result is “too much design, too little making”: more styles, shorter lifespans, higher return rates and more destroyed inventory.
When “style” is no longer scarce, the premium shifts to what AI struggles to copy: brand story, limited runs, proof of handwork and traceable origins. Clothing as a class marker does not disappear; it moves from “was it designed?” to “did a person make it, and is it rare?”
Everyday scene: your feed generates new pieces just for you every day, delivered in three days; the one you truly treasure is the coat whose label bears the tailor’s name.
ASI Branch · Clothing Becomes an Adaptive Layer
Once autonomous factories can reliably handle soft materials and materials science breaks through, garments can be made to your body on demand and recycled on demand. Programmable, adaptive fabrics regulate temperature, humidity and breathability, and some functional clothing integrates health monitoring and light physical assistance.
Physical clothing trends toward durable, repairable and few; the expression of identity and taste migrates increasingly to augmented-reality and digital appearance layers. The real “luxury” becomes the irreproducibility of handwork—and the person behind a garment.
Everyday scene: before heading out you pick a single climate-regulating outer layer, its color and pattern customized in other people’s glasses; what remains in your closet are a few sweaters your grandmother knitted.
The verdict: AGI floods us with choice and speeds up waste; the ASI branch must solve not design but manufacturing, durability and circularity.
Conditions for the leap
Automated sewing of soft materials reaches industrial reliability; smart fabrics are acceptable in wash durability, safety and price; closed-loop recycled material costs less than virgin material.
Signals to watch: the per-garment cost of automated sewing lines; changes in apparel return rates and destroyed inventory; whether smart fabrics reach mass production at everyday prices, not just high-end runway demos.
🏠 Dwelling: A Mortgage Is Collateralized by Future Wages
The everyday question: building is getting cheaper, so why might housing get harder?
AGI Transition · Construction Costs Decouple from Housing Costs
AI can shave costs from design, permit paperwork, cost estimation and construction management, but most of a home’s price is location rent, credit and zoning permission. At the same time, as white-collar jobs that can be done remotely are automated away, downtown offices empty out and cities reshuffle their functions.
The real danger is the structure of debt. A thirty-year mortgage is, in essence, a loan secured by thirty years of future wages—and future wages are exactly what AGI discounts first. As capital fleeing uncertainty piles into scarce prime real assets, the best locations may grow more expensive, while ordinary households face falling incomes against fixed repayments.
Everyday scene: your department is restructured around agent workflows and your pay is cut by 30%; home prices in your neighborhood haven’t budged, and the mortgage payment hasn’t shrunk by a cent—for the first time, you look up what it means to default on a mortgage.
ASI Branch · Shelter Becomes Allocated Infrastructure
Autonomous construction fleets, low-cost composites and distributed energy and water treatment could cut the time and cost of building high-quality homes to a fraction, making off-grid or microgrid communities practical. Housing is no longer mainly a savings and leverage vehicle, and its financial role shrinks sharply.
But location does not become infinite: lake views, city centers and proximity to friends and family remain scarce. This branch therefore needs new allocation rules—public assignment, rotation, lotteries or on-demand applications—and people may choose to live on the move between places, unbundling an address from privileges like school districts and hospitals.
Everyday scene: the lakeside home you applied for has a six-month waitlist, so you move first to a valley community built in a few weeks; moving takes an appointment, not a loan.
The verdict: AGI changes construction, not location or debt; the ASI branch must rewrite both “how we build” and “who lives where.”
Conditions for the leap
Autonomous construction is certified for safety, quality and code compliance; energy, water and sewage can be connected in a distributed, low-cost way; land-use and zoning systems are reformed; society accepts a mechanism for allocating the right to housing.
Signals to watch: whether construction costs keep diverging from home prices and rents; office vacancy rates and the conversion of urban space; whether mortgage defaults cluster in regions where job replacement is concentrated.
🚗 Mobility: Cheaper Rides, Not Necessarily Shorter Trips
The everyday question: once self-driving cars are everywhere, will commuting disappear?
AGI Transition · Drivers Replaced, Travel Demand Amplified
Robotaxis without safety drivers and automated long-haul freight expand step by step, and driving—one of the largest occupations in the world—is systematically replaced. The cost per mile falls, yet that can induce more travel: cheaper rides mean more trips, and congestion does not necessarily ease.
As long as many jobs still require being on site and office culture persists, commuting won’t disappear; the car becomes a mobile office and entertainment room, and commute time gets squeezed into more working time.
Everyday scene: you sit through two meetings in a driverless car, and not a minute is shaved off the time stuck on the expressway; your downstairs neighbor, who used to drive for a ride-hailing app, is thinking about training as a nurse.
ASI Branch · Commuting Loses Its Reason; Remote Embodiment Expands
When work is no longer tied to a place, the need to “commute” falls sharply; freight and city traffic are highly automated, and accident rates could fall far below those of human drivers. More and more tasks that still require presence are done by remotely embodied robots: from home, people operate distant robots over low-latency networks, with visual, auditory and partial tactile feedback.
There are physical limits here: signals are bound by the speed of light and network routing, so a round trip across half the globe takes on the order of a hundred milliseconds or more, and fine real-time tactile work suits regional distances better; long-distance travel relies on faster, safer automated aviation.
Everyday scene: you put on a headset and “stand” in your parents’ yard 500 kilometers away to help fix the roof; the flight home you still take is for the New Year’s dinner.
The verdict: AGI replaces “the person driving,” not “the reason to go”; the ASI branch removes the reason first, then reshapes distance.
Conditions for the leap
Driverless service covers complex weather and urban environments and passes regulation; accident and intervention data are transparent and auditable; remote robots become affordable and reliable, with low-latency network coverage; work stops requiring physical presence.
Signals to watch: the number of cities and total miles of driverless operation; accidents and human interventions per million miles; all-in fares including vehicles and insurance; whether average commute times actually fall.
📚 Learning: Knowledge Is Free, Credentials Are Not
The everyday question: when every child has an all-knowing AI tutor, what are schools still sorting?
AGI Transition · Learning Gets Cheaper, Proof Gets Costlier
High-quality one-on-one tutoring becomes nearly free, and the barrier to acquiring knowledge drops sharply. But admissions, exams and professional licenses serve a sorting and signaling function, and that function doesn’t vanish because knowledge is free. When AI can write homework and papers, competition shifts to proof that AI struggles to fake—in-person exams, portfolios, internships and connections—which may actually widen the gap created by family background.
Meanwhile, entry-level jobs are automated first, and the pressure of “graduating into unemployment” flows back into education: anxious parents ask, “If machines can do everything, what should my child learn?” The degree premium starts to wobble, but the rules that will replace it are not yet in place.
Everyday scene: your child learns a semester’s material in two hours with AI, yet must spend three years preparing for an exam where every device is banned; you don’t know which kind of ability to pay for.
ASI Branch · Education Exits Labor-Market Sorting
If wage labor is no longer the gateway to survival, education is freed from the job of “sorting people into positions.” Retrievable knowledge is always at hand, and learning returns to understanding, exploration and creation for their own sake.
The abilities worth protecting change: the mental immunity to keep one’s judgment when facing persuasive intelligences far beyond oneself; sovereignty over attention amid endless entertainment; the capacity to work with and love real people; and the body and craft. Whether brain–computer interfaces can “download knowledge” remains an open question—and retrieving an answer is not the same as understanding it.
Everyday scene: your daughter’s AI mentor no longer assigns homework; instead it asks her one question each day that has no standard answer, and reminds her: have you spent enough time away from screens today?
The verdict: AGI makes knowledge free but makes “proving who you are” more expensive; in the ASI branch, education’s subject changes back from a workforce to a person.
Conditions for the leap
Long-term randomized controlled studies show that AI tutoring produces lasting transfer of learning; employers drop or de-emphasize degree requirements; social protection no longer depends on employment; education and regulatory frameworks for persuasive AI are established.
Signals to watch: changes in entry-level hiring and degree requirements; the trend in the college wage premium; learning outcomes of AI tutoring in long-term studies, not just short-term test scores.
🧬 Longevity: Three Months in the Model, Seven Years in the Body
The everyday question: AI speeds up drug discovery, so why might the pressure on elder care grow?
AGI Transition · Discovery Accelerates, Validation and Care Lag
AI can greatly speed up target discovery, molecular design and clinical-trial recruitment, but new therapies still go through years of human trials, approvals and manufacturing build-out. Care work depends heavily on physical contact and emotional labor, and robots can shoulder only part of it.
The sharpest conflict is over pensions: pay-as-you-go systems depend on payroll taxes from people in work. If labor’s share of income keeps falling and unemployment rises while the tax base does not shift toward capital and compute, pension systems take a second blow on top of population aging. People live longer, but possibly longer in illness.
Everyday scene: the news says an anti-aging drug candidate looks spectacular in the model; meanwhile your father has to wait two months for rehabilitative care, and care workers remain the hardest people to hire.
ASI Branch · Aging Treated as an Intervenable Process
Supported by research automation, fully automated experiments and high-fidelity human simulation, interventions targeting the mechanisms of aging—cellular repair, epigenetic reprogramming, organ regeneration—could greatly extend healthy lifespan. “Longevity escape velocity” remains a hypothesis; this work does not present universal age reversal as a proven result.
If healthy lifespan extends significantly, society reorganizes around it: a single life might hold several careers, stretches of study and family stages, and the logic of intergenerational support and inheritance is rewritten; care is provided through automation and universal guarantees, and the main suffering of old age shifts from the body to meaning.
Everyday scene: after her third round of regenerative therapy, your eighty-year-old mother signs up for a university astronomy course and is placed in a study group with twenty-year-olds.
The verdict: AGI accelerates “discovery,” but the bottleneck is “proof and care”; if the ASI branch comes true, the challenge shifts from “how to care for the old” to “what to do with such a long life.”
Conditions for the leap
Therapies for aging are proven safe and effective on human clinical endpoints; treatment is affordable for everyone; care automation is reliable enough; financing for pensions and healthcare shifts to sources that don’t depend on payroll taxes.
Signals to watch: the gap between healthy life expectancy and life expectancy; the number of therapies approved on aging-related endpoints; care-worker shortages; whether the tax base of pension systems starts to be reformed.
⚒️ Vocation: The Apprentice Disappears Before the Expert
The everyday question: when work is automated, which rung of the ladder breaks first?
AGI Transition · Tasks Are Unbundled Before Jobs
Automation first swallows not whole occupations but the tasks inside them: junior code, contract review, first-draft translation, concept sketches, research reports. Senior people multiply their output with agents, while entry-level jobs disappear in large numbers—and without apprentice roles there will be no next generation of experts. The career ladder is pulled out from the bottom.
The gains from higher productivity flow mainly to the owners of compute, models and data. Society splits politically over distribution: universal basic income, job guarantees, compute dividends and labor movements to limit automation compete with one another. At a personal level, the depression of “having your value extracted” often arrives before the loss of income.
Everyday scene: your team shrinks from twelve people to three plus a set of agents, and quarterly output hits a record; the celebration email thanks the model and doesn’t mention the other nine.
ASI Branch · Wage Labor Exits the Distribution of Survival
If basic living needs are universally guaranteed, “apply—show up—get paid—get evaluated” is no longer the channel to the means of survival. People can move from “working in order to live” to “living in order to experience,” becoming amateur philosophers, craftspeople, explorers or artists—what Huizinga called Homo Ludens, “the playing human.”
But competition doesn’t disappear; it migrates: status, recognition, attention and human time become the new scarce goods. For many people, days without outside compulsion are harder than work—which is exactly the existential immunity discussed in Act VII.
Everyday scene: you spend two years building a cello and sell exactly one, to a teacher in the next community over; the two of you celebrate with a bottle that lasts all night.
The verdict: AGI pulls out the bottom of the career ladder; the ASI branch pulls out “having to work” itself, leaving the question of what to live for.
Conditions for the leap
A political settlement and funding source for universal basic provision; distribution rules for ownership of compute and models; new systems for recognizing status and contribution; psychological and community support for life without work.
Signals to watch: new-graduate hiring as a share of all hiring; labor’s share of GDP; changes in average working hours; pilots of social protection funded by taxes on capital or compute, and their scale.
Note: everyday scenes are illustrative; the years and numbers in them are not forecasts. The ASI column applies only if the joint premises described in Appendix I hold.