Sam Altman's New Plan: An AI Researcher, Then AI for Everyone

OpenAI published a new vision statement on June 8, 2026, written by Sam Altman and Jakub Pachocki. The essay lays out three goals for the company’s next chapter and explains why leadership believes the company is now entering what it calls its “third phase.” The tone is less about a single product launch and more about a long term philosophy: how AI should be built, who should benefit from it, and what role people will still play once machines can do far more of the work.

Learning From The Age Of Electricity

Altman and Pachocki open with a historical comparison. They describe a rural American town in the 1920s, before electricity arrived, when daily life revolved around hauling water, washing clothes by hand, and ending the day when the sun went down. Once power lines reached these towns, the change was uneven at first, but it eventually reshaped ordinary life: light extended the day, appliances reduced hard labor, and radios brought news and connection from far away.

The authors argue the real impact of electricity was not the technology itself. It was what people built once they had access to it. Over the following decades, life expectancy rose by more than 20 years and median income roughly tripled, gains they attribute in large part to the healthcare and living standard improvements that widespread electrification helped enable.

Applying The Same Lesson To AI

The essay draws a direct line from that history to the present moment. Altman and Pachocki write that AI will soon be capable of extraordinary things, but they insist the technology itself is not the point. What matters is what people can do with it: navigating a medical bill, learning a new skill, starting a small business, caring for an aging parent, or turning an idea into something real.

This framing sits alongside other recent OpenAI moves that readers have been tracking closely. Just months earlier, the company was working to steady investor confidence around its infrastructure spending, a topic covered in this earlier report on OpenAI reassuring investors, which shows how the business side of the company has been running in parallel with its stated mission.

Three Goals For The Third Phase

The core of the essay lists three goals the company says it is currently pursuing. The first is to build an automated AI researcher, a system capable of accelerating and increasingly automating the research process itself while remaining steerable and accountable. The second is to accelerate the economy by pushing forward scientific progress, productivity, and growth while working to make sure the resulting gains are widely shared. The third is to give everyone on Earth a personal AGI, letting people use the technology in whatever way benefits them most.

Building An Automated AI Researcher

On the research goal, the authors give a specific internal timeline. They state their belief that by March 2028, a significant fraction of OpenAI’s own research could be carried out by AI systems working in tandem with human researchers. They frame this as necessary for alignment work itself, arguing that because alignment is a hard research problem, their teams will need AI systems that can test ideas, find mistakes, and explore alternatives alongside them.

Accelerating The Economy For Everyone

The second goal centers on economic growth that is broadly shared rather than concentrated. The essay states plainly that everyone should have an opportunity for a meaningful share in the prosperity AI creates. This ambition echoes the scale of compute investment the company has been making elsewhere, including the large multi-billion dollar compute commitments detailed in this coverage of OpenAI's Cerebras compute deal, since accelerating the economy at this scale requires enormous underlying infrastructure.

A Personal AGI For Every Person

The third goal is the most direct: giving every person on Earth access to a personal AGI. The authors describe this as empowering individuals to benefit from one of humanity’s most transformative technologies in whatever way they choose, rather than limiting its use to institutions or a narrow set of users.

Why Power Must Be Broadly Distributed

A recurring theme throughout the essay is the danger of concentrated power. Altman and Pachocki state that transformative technologies can either concentrate power or broaden it, and that their approach is rooted in the belief that AI should work for people by increasing their capabilities and distributing benefits as widely as possible. They add that history shows concentrated power creates fragility, while widely shared power makes societies more resilient, adaptable, and free.

The Risk Of Full Automation

The authors are explicit that a future where everything is fully automated is not one they want. They describe it as unfulfilling and dangerous, arguing that AI should help people pursue their goals rather than become untethered from them. As systems grow more capable, they argue, the human role becomes more important, not less: setting direction, making tradeoffs, applying judgment, and bringing values and responsibility to the work.

Why Human Judgment Still Matters

The essay states that a key long term role for people will be deciding what is worth doing in the first place. Even as AI systems take on more of the research process, the authors maintain that faster technical progress makes human judgment and public coordination more important. They write that the future should be shaped by people, institutions, and societies, not solely by the companies building the most capable systems.

Calling For Global Coordination

Looking beyond the company itself, Altman and Pachocki restate a long held belief that there should eventually be an international organization to help coordinate leading AI efforts and reduce catastrophic risk. They point to commercial and national competition as pressures that are hard to escape, which is exactly why they see cooperation and shared safety standards as an important part of the path forward, including the ability to slow frontier development when needed.

What "AI Resilience" Really Means

A footnote in the essay defines what the authors call AI resilience: the collective organizations, systems, and individuals that society can put in place to anticipate, withstand, adapt to, and recover from AI driven disruptions. They compare it to how the automobile became broadly beneficial only after societies built seatbelts, traffic laws, driver's licenses, and road infrastructure around it. The goal was never to stop people from driving, but to make a powerful technology safe enough for widespread use.

Entering OpenAI's Third Phase

The essay describes OpenAI's history in three stages. The first phase was research toward AGI. The second phase began once that research became relevant to the real world, turning the company into a product business that learned from how people actually used its systems. The authors say the company is now entering a third phase, where the central question is how to make advanced AI abundant, affordable, safe, and easy enough for every person and organization to benefit from it.

What This Means Going Forward

The essay closes on a values statement rather than a product announcement. Altman and Pachocki write that a good AI future cannot be one where a small number of institutions control most of the capability and most of the upside. Instead, they argue it should be a future where many people, companies, communities, and countries can build, benefit, and hold power, a transformation they say should belong to everyone, not just to the companies at the frontier.

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