AGI & ASI Future Scenarios · 04
The Abundance They Promised Reached Everyone
AGI companies do not publicly say that they seek domination or destruction. They promise abundant low-cost intelligence, faster science and medicine, personal tools for everyone, and a safe transition. This thought experiment begins in the most positive future—one where those promises came true—and asks what would make that future credible.
Watch the scenario
Korean audio · English subtitles · 30 seconds · 720p
An AI-generated dramatization of this fictional story. Korean audio with English subtitles.
Enlarge illustration ＋ What They Say
Why companies publicly say they are building AGI
Their language differs, but the shared narrative is broader access to intelligence, scientific discovery, individual empowerment, and benefit to humanity. These are summaries of official statements—not claims about private intent.
OpenAI
It presents a future of faster science, productivity, and growth, widely shared gains, personal AGI, and power distributed rather than concentrated.
Read the statementAnthropic
It says reliable, interpretable, steerable systems can support a safe transition and expand opportunity in health, science, education, and the economy.
Read the statementGoogle DeepMind
It aims to build AI responsibly to benefit humanity, solve hard scientific and engineering problems, and improve how billions of people live and work.
Read the statementMeta
It describes personal superintelligence for individual agency, invention, and connection, while explicitly linking the project to U.S. technological leadership and national security.
Read the statementxAI
It states a mission to build AI that understands the universe, accelerates human scientific discovery, and extends what humanity can know and do.
Read the statementMicrosoft
It pairs empowerment for every person and organization with fairness, safety, privacy, inclusion, transparency, accountability, and human control.
Read the statementThe Positive Scenario
A future where the promise became social structure—not advertising
- 01Stated vision
Intelligence became an affordable public good
High-capability AI is no longer reserved for wealthy firms. Individuals, schools, clinics, and small organizations can afford it, and language, disability, geography, and income no longer block access to knowledge.
Enlarge illustration ＋ Imagining capable tools that do not belong only to a privileged few. - 02Positive scenario
Everyone gained a tutor and an assistant of their own
Personal AI does not rule in place of its user; it helps people learn, compare, and express themselves. Users control their data and memories, can move to another provider, and retain the right to decide without AI.
Enlarge illustration ＋ Tools help people learn and express themselves rather than decide their answers. - 03Stated vision
Decades of research compressed into years
Researchers use AI to find medicines, rare-disease treatments, clean-energy materials, and climate adaptations faster. The results do not remain behind patent walls but reach public research and lower-income regions.
Enlarge illustration ＋ A conjecture that faster research expands access to medicine and science. - 04Positive scenario
Machines took the dangerous and repetitive work
Machines help in disasters, toxic workplaces, and tedious administration without treating people as costs to remove. Productivity becomes shorter hours, better wages, retraining, care, and education—not layoffs alone.
Enlarge illustration ＋ If reduced danger returns as time and safety for workers. - 05Stated vision
Small organizations gained the reach of giants
Small businesses, nonprofits, research teams, and developing countries use translation, legal, design, and research tools. Open standards and portability prevent dependence on a single cloud or model supplier.
Enlarge illustration ＋ Conditions that let small organizations choose and move between tools. - 06Positive scenario
Safety competed with capability
Companies earn trust through shared evaluations, outside audits, and incident reporting rather than concealing failures. Markets and public procurement reward demonstrated controllability and social value, not release speed alone.
Enlarge illustration ＋ A competition to prove controllability alongside speed to release. - 07Necessary condition
The returns from abundance did not stop with owners
Some AI-driven growth funds public compute, education, health, and transition support. Citizens, workers, and affected communities gain a seat in decisions about deployment and the distribution of benefits.
Enlarge illustration ＋ People affected also decide where the benefits go. - 08NO AGI condition
The final authority remained human
AI is powerful but does not become the final sovereign. Decisions about life, liberty, and public policy remain inside explainable processes with human accountability, including rights to refuse, interrupt, and appeal.
Enlarge illustration ＋ Even with powerful tools, final decisions and appeals remain human.
Promises Into Proof
Good intentions are not enough; the promise needs verifiable structure.
There is no reason to dismiss positive aims merely because companies state them. Society must still inspect authority, ownership, and outcomes rather than treating a mission statement as proof.
Measure distribution, not growth alone
Track wages, working time, access to health and education, regional inequality, and the distribution of harm alongside revenue and GDP.
Independent audits and incident disclosure
Safety cannot rely only on tests selected by vendors. Protect outside research, require disclosure of serious incidents, and shield whistleblowers.
Prevent platform lock-in
Use data portability, interoperable systems, public compute, and competition policy so a few cloud and model companies do not become the gatekeepers of intelligence.
Human refusal and shared decisions
Guarantee a right to reject automated judgments and request human review, while giving workers and citizens a role in the terms of automation and public deployment.
Conspiracy Check
What public evidence confirms—and what it does not
Companies repeatedly publish positive goals
Major labs formally describe benefit to humanity, scientific and medical progress, individual capability, safety, and responsibility. Some also use public-benefit structures, trusts, or safety principles. Those commitments are real public facts, though statements alone do not guarantee outcomes.
Large investments and market incentives operate beside them
Frontier AI requires vast spending on data centers, chips, and power. Regulators have documented equity, revenue sharing, exclusivity, consultation rights, and cloud-spending commitments between labs and major cloud providers. Pressure to recover capital through products, ads, cloud, and subscriptions can coexist with public-interest goals.
A coordinated secret plan to dominate humanity
The official documents, regulatory reports, and credible independent sources reviewed provide no evidence that rival companies conspire to enslave humanity or deliberately create catastrophe. Private decisions and conflicts of interest deserve scrutiny, but they are not by themselves proof of a shared conspiracy.
Research Context
Sources used to test promises and structural incentives
OpenAI · Built to benefit everyone
An official plan combining personal AGI, widely shared abundance, distributed power, and business growth.
Read the sourceAnthropic · Beneficial deployments
Explains stated goals for a safe AI transition and opportunity in health, science, education, and the economy.
Read the sourceFTC · AI partnerships and investments
Documents equity, revenue sharing, control and consultation rights, exclusivity, and cloud-spending commitments between major cloud providers and AI developers.
Read the sourceOECD · Competition in the age of AI
Examines innovation and sales concentration, faster markup growth among AI-patenting firms, startup acquisitions, and a dynamic but uneven competitive landscape.
Read the sourceIMF · Artificial intelligence
Covers productivity and growth potential alongside inequality and dependence on a small number of frontier models and concentrated compute.
Read the sourceILO · Generative AI and jobs 2025
Finds one in four workers has some exposure, with job transformation currently more likely than full replacement and social dialogue central to distribution.
Read the sourceFinding no conspiracy does not mean there is nothing to monitor. Concentrated power can emerge without a secret meeting, while every actor follows its own investment, market, and national logic. If we want to trust the positive future, we must verify how authority, ownership, and results are actually distributed—not only what was promised.
Scenario Archive
Compare another path into the future.
Positive promises and risk scenarios do not cancel each other. The same technology can lead to very different futures depending on goals, ownership, and control.