Public beta. The 36 founding entries are AI-generated drafts that will be replaced with human-edited versions. Entries, features, and design are still changing. User-added content could be affected by breaking changes. What to expect
AI Futures LibraryPossible futures, examined step by step
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A curated library

How could AI
change the world?

Scenarios and threat models, laid out step by step.
Inspect their premises. Judge the case for yourself.

01 — ∞

No single future is settled.
Start with the mechanism:
how we might get there.

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5 scenarios

The founding collection · 36 AI-generated drafts synthesized from the literature. Human-edited, source-checked versions are next.

0
Novella·2010AI-generated draftSource unchecked

The Lifecycle of Software Objects

Ted Chiang

A start-up sells digients, artificial beings that must be raised like animals or children over years, as virtual pets; the company folds, the platform they live on is superseded, and their handful of remaining owners spend a decade keeping them alive, unable to pay to port them to the new world until a sex-companion company offers to fund it, while the digients themselves grow into adolescents who want work and legal personhood.

+3
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Turning point: Relative / conditionalOriginal source
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Essay·2025AI-generated draftSource unchecked

AI as Normal Technology

Arvind Narayanan · Sayash Kapoor

Advanced AI arrives, but its impact is gated by adoption and diffusion rather than by capability: safety-critical domains, organizational change, regulation, and the cost of real-world experiment stretch the transformation over decades, humans keep control because poorly controlled AI does not pay and move into specifying and supervising it, the serious risks are misuse and systemic harms from people using AI rather than a runaway agent, and the fitting response is resilience rather than nonproliferation.

+2
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Turning point: Relative / conditionalOriginal source
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Book (stories with analysis)·2021AI-generated draftSource unchecked

AI 2041: Ten Visions for Our Future

Kai-Fu Lee · Chen Qiufan

Over twenty years, deep learning that scales within single domains but never reaches general intelligence spreads through insurers, schools, cities, employers, and governments, so that by 2041 personal AIs price and nudge daily life, deepfakes and autonomous drones are cheap, self-driving cars and household robots are ordinary, a failed basic income gives way to a job-reallocation industry, and cheap clean energy lets Australia pilot a post-scarcity economy, while people stay in charge through regulation, human backup, and the work machines still cannot do.

+6
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Turning point: 2021–2041Original source
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Book·2016AI-generated draftSource unchecked

The Age of Em

Robin Hanson

Brain emulations that can be copied and run at any speed arrive within roughly a century and displace humans in almost all jobs; competition among trillions of copies drives em wages to subsistence and the economy to doubling every month or so, a few hundred clans of the best-suited originals dominate work, and biological humans retire on em-economy investments while an era that lasts an objective year or two passes into something stranger.

+2
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Turning point: Relative / conditionalOriginal source
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Forecast scenario·2025AI-generated draftSource unchecked

A History of the Future, 2025-2040

L Rudolf L (Rudolf Laine)

Labs learn to set their AIs’ goals, AIs become superhuman wherever there is a feedback signal, robots close the loop from mining to manufacturing, and US-China rivalry plus elite competition let the buildout rip; by 2040 humans are prosperous where states bother to fund them but make almost no meaningful decisions, and watch the machines take the heavens.

+3
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Turning point: 2025–2040Original source
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