Robin Hanson’s Analysis of the Emulation Economy

Economist Robin Hanson has extensively analyzed a future dominated by whole-brain emulations, or "ems," in his groundbreaking work on artificial intelligence, most notably in his book The Age of Em. Instead of relying on speculative fiction, Hanson applies standard economic principles, evolutionary psychology, and physics to predict how a society of fast-running digital uploads would function. This article explores Hanson's methodology and his key conclusions regarding labor markets, economic growth, social structures, and the marginalization of biological humans in an emulation-dominated world.

Defining Whole-Brain Emulations

To analyze the future of artificial intelligence without guessing how new software architectures might behave, Hanson focuses on whole-brain emulations. An "em" is created by taking a specific human brain, scanning its physical structure at a cellular and molecular level, and building a computer model that replicates the exact signal-processing behavior of the original tissue.

Because ems are exact copies of human minds, Hanson argues that they will possess human psychology, desires, biases, and capabilities. This allows him to apply established social science and economic theory to predict their behavior, treating ems not as incomprehensible alien machines, but as humans placed into a radically new digital environment.

Malthusian Economics and Subsistence Wages

A core pillar of Hanson’s analysis is the return of Malthusian economics. In the biological world, producing a skilled adult worker takes roughly two decades. In the em economy, a fully trained digital worker can be copied in seconds for the cost of the underlying computer hardware and electricity.

Because the supply of labor can expand almost instantly to meet demand, the law of supply and demand dictates that wages will rapidly fall to the cost of subsistence. For an em, subsistence is the price of the hardware, cooling, and energy required to run their brain simulation. Consequently, while the total wealth of the economy will skyrocket, individual ems will barely earn enough to keep their simulations running, echoing the economic conditions of the pre-industrial era.

Variable Speeds and the "Kilohuman"

Because ems run on computer hardware, their subjective speed of thought and experience depends entirely on how much computing power they are allocated. Hanson calculates that the cost of running an em scales linearly with its speed.

An em might run at a thousand times the speed of a biological human—a state Hanson refers to as a "kilohuman." In the time it takes a biological human to read a sentence, a kilohuman em experiences days of subjective time. Conversely, ems in retirement or those serving niche roles might run dramatically slower than biological humans to save money on computing costs. The em economy will stratify into speed classes, with the most productive managers and software engineers running at blinding speeds to coordinate rapidly shifting markets.

The Dominance of Clans and "Spurs"

If you can copy a mind instantly, you only need to copy the best minds. Hanson predicts that the global economy will be dominated by a few hundred "clans"—millions of copies of the most productive, conscientious, and competitive humans ever scanned.

To handle short-term tasks, ems will utilize "spurs." A spur is a temporary copy of an em created to perform a few hours or days of subjective work (which may only take seconds in the physical world) and then deleted once the task is complete. This allows for hyper-efficient labor allocation without the ongoing cost of maintaining permanent workers. While biological humans might view the deletion of a spur as death, Hanson suggests that successful em clans will psychologically adapt to view spurs simply as temporary interruptions in memory, similar to going to sleep.

Hyper-Dense Cities and Rapid Growth

Communication delays limited by the speed of light become a major bottleneck for minds running a thousand times faster than normal. To minimize latency, ems will cluster together into a few ultra-dense, super-cooled data centers. These digital cities will be physically small but house billions of minds interacting in rich virtual realities.

Freed from the biological limits of human reproduction and physical transport, the economy will accelerate dramatically. Hanson estimates that the em economy could double in size every month or even every week. To a biological human, this civilization will appear to innovate, build, and transform almost instantaneously.

The Fate of Biological Humans

In this hyper-fast, hyper-competitive landscape, biological humans simply cannot compete in the labor market. However, Hanson does not predict that ems will exterminate humanity. Because ems retain human psychology and legal frameworks, they will respect property rights.

Biological humans will initially own the real estate, energy companies, and hardware factories that the ems need to survive. Living on the massive dividends and rents generated by the exploding em economy, biological humans will become a wealthy, leisured retiree class. They will live comfortably on the periphery of the great data-center cities, watching from afar as a civilization of digital descendants operates at a pace entirely beyond their comprehension.