Sam Altman reveals 3 possible futures of AI: Global watchdog, AI lab merger and a ...

Sam Altman reveals 3 possible futures of AI: Global watchdog, AI lab merger and a dangerous GPU monopoly Ashita Kashyap Published: Oct 23, 2026, 12:05 IST Updated: Oct 23, 2026, 12:05 IST Sam Altman reveals 3 possible futures of AI OpenAI CEO Sam Altman has reportedly outlined three possible paths for the future of artificial intelligence (AI), including a global watchdog, a single organisation bringing leading AI labs together, and a scenario in which one company gains so much computing power that its competitors cannot keep up. According to reports, Altman described the third option as “terrible”. His comments highlight growing concerns about AI safety, competition, human control and the need for international rules as advanced AI systems become more powerful. Sam Altman outlines 3 possible futures of Artificial Intelligence Artificial intelligence is moving fast yet big questions still linger. Who gets to control it? How do we keep it safe? These aren’t answers. Sam Altman, the CEO of OpenAI talked about three paths for the next phase of AI. He shared these ideas with OpenAI staff back in October 2026 according to The Information. The first option is a group that watches over advanced AI. The second is an effort between top AI labs, around the world. The third is a future where one company gets so big and powerful that no one else can compete. Especially when it comes to using the computers needed to run AI. The report said Altman appeared to support international oversight, while he rejected the idea of one company dominating the industry. He reportedly also said OpenAI would need to decide which approach to support over the coming year. 1. Global AI Watchdog : An organisation like the IAEA The first proposal is to create an international body that monitors the development of advanced AI systems. The organisation would work like the International Atomic Energy Agency (IAEA), which promotes the peaceful use of nuclear energy and carries out safeguards and inspections. Under this approach, an international AI watchdog could set safety standards, inspect powerful AI systems, require independent audits and check whether companies follow agreed rules. In many ways it could also help governments assess the risks of increasingly capable AI models. The aim would be to ensure that companies do not develop powerful systems without adequate safeguards. Different countries could also work together to establish common standards rather than relying entirely on individual companies to regulate themselves. This idea is not new. In a policy paper published in 2023, OpenAI's leadership proposed that an international organisation could monitor advanced AI development, inspect systems and enforce safety requirements. Altman's recently reported comments come as governments debate how to oversee AI without slowing useful innovation or giving excessive power to a small number of companies. However, it is important to note that establishing such a watchdog would require countries to agree on its authority, inspection powers and enforcement rules. 2. Demis Plan : What if major AI companies work together? The second proposal, referred to as the “Demis plan”, draws on an idea associated with Demis Hassabis, the CEO of Google DeepMind. It involves creating a shared organisation for advanced AI research, drawing comparisons with CERN, the international scientific research organisation known for its work in particle physics. In Altman's reported version, these leading AI laboratories could merge their efforts or work through a single organisation to develop advanced AI systems more safely. Participating countries could then access models developed through this shared effort. The main idea behind this is cooperation rather than competition between companies developing increasingly powerful systems. Working together could help researchers share safety findings, coordinate testing and avoid repeating the same mistakes. It could also make it easier to establish common safeguards. However, the proposal would face significant challenges. AI companies compete for customers, investment, skilled employees and computing resources. They may be reluctant to share valuable research or give up control over their technology. It is also unclear how such an organisation would make decisions, and distribute access to AI systems or ensure that smaller companies and countries are treated fairly. However, the report does not establish that a merger or shared research organisation has been agreed upon. 3. Eliezer Plan: Could one AI company control all the computing power? The third proposal is the most controversial one. The report calls it the “Eliezer plan”, referring to an AI safety theorist Eliezer Yudkowsky. In this scenario, one AI developer becomes so powerful that it can prevent other developers from accessing the computing resources required to build advanced AI systems. Altman reportedly described this as a situation in which a company could use its economic power to deprive competitors of computing resources, including graphics processing units (GPUs). He thus called this scenario “terrible”. GPUs are specialised computer chips widely used to train and run advanced AI models. Developing powerful AI systems requires large amounts of computing capacity, electricity, data and specialised infrastructure. If one company controlled a share of these resources other developers might find it hard to compete. Thus, that company could have influence over which AI technologies are made and who can use them. Yet the concern goes beyond ordinary business competition.If one organisation controlled the powerful AI systems that organisation could also have big influence over decisions that affect businesses, governments and everyday people. Yudkowsky for example has argued that the creation of AI could bring huge dangers to humanity. However the scenario in the report is a hypothetical path and it is not proof that any company today can wipe out its competitors computing resources. Why is AI safety becoming a global concern? The debate comes as AI systems become more capable of performing complex tasks, writing code, conducting research and operating with less human intervention. These developments could improve healthcare, education, scientific research and productivity. However, increasingly capable systems may also create risks involving cybersecurity, misuse, unreliable decisions and loss of human control. In September 2026, Altman addressed the United Nations Security Council (UNSC) and called for international cooperation on AI safety. He argued that governments should help shape AI rules through democratic processes and make shared standards for measuring capabilities, assessing risks and preserving human oversight. OpenAI has also called for common safety standards and better reporting of serious AI-related incidents. Its policy proposals stress that companies' internal safeguards should complement government oversight rather than replace it. Sam Altman's reported discussion of three possible AI futures highlights a major challenge facing the technology industry: how to develop increasingly powerful AI while keeping it safe and accountable. An international watchdog could establish common rules, a shared research organisation could encourage cooperation, and a company-led monopoly could concentrate control in a few hands. End of Article