Robin Hanson | The Age of EM: Work, Love & Life When Robots Rule The Earth @ VW Puerto Rico 2026

Why It Matters

Hanson’s scenario warns that unchecked AI replication will depress wages and destabilize labor markets, making proactive insurance and policy design essential to safeguard economic stability and future growth.

Key Takeaways

• Brain emulations require cheap fast computers and detailed scans.
• Emulations act like original humans but live in virtual economies.
• Their proliferation drives wages to subsistence, demanding universal insurance.
• AI-driven growth could double economies every few months, reshaping space investment.
• Social science can rigorously predict consequences of specific future technologies.

Summary

Robin Hanson uses his book *The Age of EM* to sketch a concrete future where brain emulations—digital copies of human minds—become cheap, fast, and indistinguishable from their biological originals. He frames the scenario as a social‑science exercise, applying ordinary economic assumptions to predict how these “M” entities would live, work, and interact in a virtual reality that still depends on real‑world resources.

Hanson’s analysis rests on several simplifying premises: emulations are black‑box copies, cannot be merged or edited, and earn income to cover the hardware that hosts them. Because they can be duplicated at negligible cost, the labor supply explodes, pushing wages to Malthusian levels and forcing humans to confront mass job displacement. He argues that a market‑based insurance product—essentially a derivative that pays out when labor‑force participation falls—could hedge this risk more effectively than universal basic income schemes.

Key illustrations include the vivid description of an emulated mind viewing a VR “control panel,” the notion that digital copies are, in principle, immortal yet must pay for that immortality, and the claim that AI‑driven economies could double in size every few months, dramatically shortening the horizon for space colonization. Hanson also stresses that social science can rigorously map such futures, a practice he finds sorely lacking today.

The broader implication is clear: policymakers, firms, and financial institutions must anticipate a rapid transition to a labor market dominated by cheap, replicable AI agents. Establishing insurance mechanisms now could smooth the socioeconomic shock, preserve consumer demand, and shape the trajectory of ultra‑fast economic growth and its downstream effects on investment, inequality, and even interplanetary ambition.

Original Description

This talk is part of Vision Weekend Puerto Rico 2026, a three-day gathering of researchers and builders in Old San Juan.

The program featured 30+ presentations, along with keynotes, lightning talks, office hours, and discussions focused on “AI for X” — exploring how AI is advancing fields like neurotech, biotech, energy, and beyond.

https://foresight.org/events/vision-weekend-puerto-rico-2026/

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