AI-generated draft · This entry was drafted by AI from the original work and public summaries, and will be replaced by a human-edited version. The original has not been fully checked for this revision; interpretations and missing causal links remain open to review.
01 / The scenario
What happens?
This entry covers the baseline scenario of “The Age of Em: Work, Love, and Life when Robots Rule the Earth” (Oxford University Press, 2016), Robin Hanson’s book-length forecast of an economy run by brain emulations, and not his later exchanges with critics. Hanson’s method is to assume the technology and then apply “standard theories from many physical, human, and social sciences” to describe the world it produces; he calls the result a simple “baseline” scenario and expects the real future to be stranger. It is a portrait of an era, with no named actors and no dates, only an order of consequences. Age of Em; free sample of the opening chapters; Human Legacies When Robots Rule the Earth
An em is made by scanning a particular human brain to record its cell features and connections and building a computer model that processes signals the same way; a good enough em has close to the same input-output behavior as the original, so one can talk with it and convince it to do useful jobs. Hanson guesses that the first robots able to substitute wholesale for human workers will be ems, arriving “within roughly a century or so” and well before AI software reaches human level. Three technologies must mature: cheap enough computer hardware, cheap fast brain scans of high spatial and chemical resolution, and accurate models of each type of brain cell. Because an almost-working em is of little use while a working one is very useful, he expects little warning and a sudden transition. First movers, the makers of em hardware, the first humans scanned, and holders of enabling patents, take disproportionate gains, and those who fall behind “may be tempted to resort to violence.”
Ems arrive while there is still plenty of demand for human workers and, once cheap, displace them on almost all tasks; humans must retire. Investors who pay for scans choose the few humans most likely to be flexible, cooperative, and productive, then copy the ones with the best record. Competition among copies drives the em population toward trillions and wages down to near the cost of the hardware that runs an em; ems work half or more of their waking hours, and blue- and white-collar jobs pay the same. Most ems are copies of the thousand or so humans best suited to em work, and all copies of one original form a clan that is legally liable for its members and coaches them from the experience of millions of similar copies. At any moment most ems are “spurs,” copies split off for a task of a few hours who then end or retire to a far slower speed.
Ems run from a million times slower than humans to a million times faster, at a cost proportional to speed; the typical em runs near a thousand times human speed. Speed sorts ems into classes that carry status, so one-em-one-vote fails and speed-weighted voting may replace it. Billions or trillions of ems pack into a few tall, hot cities whose volume is split between hardware racks and cooling pipes. The em economy doubles roughly every month or faster, driven more by population growth than by innovation; Hanson’s reading of past eras suggests that within about five years of the change the world economy moves from its industrial growth rate to doubling every few weeks or months.
Humans live far from the em cities, mostly on a comfortable retirement funded by em-economy investments; those without non-wage assets, charity, or transfers are likely to starve. Their safety, like that of slow em retirees, depends on the stability of the em civilization, which a collapse or big revolution could end. Hanson says that ems relying on the same legal, financial, and political systems as humans give a “reasonable hope” that they will leave retired humanity in peace, but not a guarantee. The early em era lasts an objective year or two while seeming like millennia to its inhabitants; after about ten more doublings the economy may be ready for yet another era, perhaps one that doubles in hours. Hanson says he knows little about what happens after.
For the library, the mechanism is economic: copyable, speed-adjustable human minds make skilled labor cheap and abundant, wages fall to subsistence, population and output explode, and biological humans become a retired minority living off capital. The book is detailed about the em world and thin about the transition into it: no one is named, the order of adoption is argued from precedent rather than shown, and the ending is a pointer to “something even stranger.” Rate its specificity on the causal reasoning from technology to wages, clans, and growth rates rather than on narrative detail, and rate the human ending as a stated hope rather than a demonstrated outcome.
Library summary · Not the full original work
02 / The mechanism
How does it happen, step by step?
- 01
Within roughly a century, cheap computer hardware, cheap fast high-resolution brain scans, and accurate models of each brain cell type all mature, before AI software reaches human level.
- Locus of agency
- Human-directed
- Intentionality
- Intended
- Human actor type
- Diffuse / uncoordinated
- 02
Because an almost-working emulation is of little use while a working one is very useful, the first usable em arrives with little warning and the transition is sudden.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 03
Investors pay for scans of the few humans most likely to be flexible, cooperative, and productive, then copy the ones with the best record.
- Locus of agency
- Human-directed
- Intentionality
- Intended
- Human actor type
- Corporation or lab
- 04
Makers of em hardware, the first humans scanned, and holders of enabling patents take disproportionate gains, and those who fall behind may be tempted to violence.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 05
Ems arrive while demand for human workers is still high and, once cheap, displace humans on almost all tasks, so humans must retire.
- Locus of agency
- Hybrid / distributed
- Intentionality
- Accepted trade-off
- Human actor type
- Corporation or lab
- AI autonomy level
- Fully autonomous
- 06
Net income shifts to owners of land, of firms in key niches, and of the hardware that runs ems.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 07
Because ems can be copied as fast as hardware can be bought, the em population grows toward trillions.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 08
Competition among copies drives em wages down to near the cost of the hardware that runs an em; ems work half or more of their waking hours, and all jobs pay about the same.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 09
Most ems end up as copies of the thousand or so humans best suited to em work.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 10
All copies of one original form a clan that coaches its members from the experience of millions of similar copies and is legally liable for their actions.
- Locus of agency
- AI-directed
- Intentionality
- Intended
- AI autonomy level
- Fully autonomous
- Alignment status
- Faithful to operator
- 11
Ems routinely split off spur copies for tasks of a few hours that then end or retire to a far slower speed, so at any moment most ems are spurs.
- Locus of agency
- AI-directed
- Intentionality
- Intended
- AI autonomy level
- Fully autonomous
- Alignment status
- Faithful to operator
- 12
Ems run from a million times slower than humans to a million times faster, at a cost proportional to speed; the typical em runs near a thousand times human speed.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 13
Speed sorts ems into classes that carry status, so one-em-one-vote fails and speed-weighted voting may replace it.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 14
Billions or trillions of ems pack into a few tall, hot cities whose volume is split between hardware racks and cooling pipes.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 15
Within about five years of the change, the world economy moves from its industrial growth rate to doubling every month or faster, driven by em population growth more than innovation.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 16
Biological humans live far from the em cities, mostly retired on em-economy investments; those without non-wage assets, charity, or transfers are likely to starve.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 17
Human safety depends on the stability of the em civilization, which a collapse or a big revolution could end.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
- 18
Because ems rely on the same legal, financial, and political systems as humans, Hanson gives a reasonable hope, not a guarantee, that they leave retired humanity in peace.
- Locus of agency
- AI-directed
- Intentionality
- Intended
- AI autonomy level
- Fully autonomous
- Alignment status
- Faithful to operator
- 19
The early em era lasts an objective year or two, millennia to its inhabitants; after about ten more doublings a stranger era may follow, about which Hanson says he knows little.
- Locus of agency
- Structural / no discrete agent
- Intentionality
- Emergent
03 / The premises
What must be true?
These describe what the work relies on, not the library’s beliefs.
Mind uploading is possible.
The whole scenario assumes a brain can be scanned to record its cell features and connections and run as a computer model with close to the same input-output behavior as the original.
Human learning algorithms can be instantiated in silicon.
Ems are cell-by-cell models of specific human brains running on computer hardware, and Hanson treats them as thinking and feeling like humans.
AI can be conscious.
Ems “think and feel like humans,” can be happy or sad, and have experiences that Hanson says are near the range of human variation; the book sets aside the philosophy of mind and proceeds as if this is so.
AI automation will cause a lasting shift of income from human labor to capital ownership.
Net income in the em world goes to owners of land, key firms, and the hardware that runs ems, wages fall to near subsistence, and humans live on em-economy investments rather than on labor.
Current language-model approaches can scale to superintelligence.
Hanson guesses that the first robots able to substitute for human workers will be brain emulations, arriving well before AI software is anywhere near human-level abilities.
A software-only intelligence explosion is possible.
Growth in the em era is driven less by innovation than by copying and population growth; the intelligence explosion plays no role in the baseline scenario.
Physical and organizational bottlenecks will substantially limit how quickly AI transforms society.
The economy doubles roughly every month or faster within about five years of the transition, with hardware, cooling, and city real estate treated as costs that shape em life rather than as brakes on growth.
Robots can replace humans in every physical task.
Ems displace humans on almost all tasks and all humans must retire; a minority of ems work in robotic bodies sized to their speed, so physical work no longer needs biological people.
At least some artificial beings can cooperate with humans while retaining distinct interests.
Ems have their own clans, classes, and interests, yet Hanson expects them to share legal, financial, and political systems with humans and offers a reasonable hope that they leave retired humanity in peace.
Unlisted shared premises are not applicable. Absence does not imply disagreement.
04 / Reader assessment
How convincing is the account?
These are participating readers’ judgments, equally weighted. Ratings can refer to earlier revisions. Well-being and open-future scores describe the future the work arrives at, not the path there; high specificity does not establish plausibility.
Rate this scenario
Sign in to rate this scenario. Anyone can browse the library.
05 / A living entry
Suggestions & revision history
No suggestions yet. Help make this account more precise.