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Altman Predicts 'Super-Intelligence' Within Years

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  Published in Science and Technology on Thursday, February 19th 2026 at 19:23 GMT by moneycontrol.com
      Locales: UNITED STATES, IRELAND

Toronto, ON - February 20, 2026 - OpenAI CEO Sam Altman has once again sent ripples through the tech world and beyond, reiterating his prediction that 'true' super-intelligence is not a distant hypothetical, but a looming reality likely to arrive within the next few years. Speaking at a closed-door symposium on the future of work, Altman not only reaffirmed his timeline but went further, stating that such an AI would demonstrably outperform him in nearly all aspects of cognitive function. This statement, building on comments made at the 2024 Collision Conference, has reignited the debate regarding society's preparedness for an intelligence exceeding human capabilities.

Altman's definition of "super-intelligence" - an AI exceeding human abilities across the board, not simply in narrow task performance - remains consistent. He isn't referring to the impressive, but ultimately limited, capabilities of current large language models (LLMs) like GPT-7, OpenAI's current flagship model. He describes a system capable of genuine generalized intelligence, able to learn, adapt, and problem-solve at a level far beyond human capacity. This isn't simply about faster computation; it's about a fundamental shift in how problems are approached and solved.

"We're talking about an AI that can not only process information, but understand it, innovate, and create in ways we haven't even imagined," Altman explained. "And frankly, in a few years, it will likely be better than me at running OpenAI. It will be better at strategic planning, resource allocation, even understanding the nuances of our safety protocols. That's not a scary thought, if we've built it right."

However, the "if" remains a significant caveat. The potential benefits of such super-intelligence are immense - the ability to tackle climate change with unprecedented efficiency, accelerate scientific discovery, and potentially eliminate disease. But the risks are equally profound. Experts highlight the potential for unintended consequences, algorithmic bias amplified to an extreme, and the existential threat posed by an AI whose goals are not perfectly aligned with human values. The question isn't if super-intelligence is possible, but how to ensure its development and deployment benefit humanity.

OpenAI, along with other leading AI labs like DeepMind and Anthropic, have been heavily investing in "alignment research" - techniques to ensure AI systems reliably behave as intended and prioritize human well-being. However, progress in this area has been slower than the rapid advancement of AI capabilities. Critics argue that the focus remains overwhelmingly on building the technology, with insufficient attention paid to the crucial safety and ethical considerations.

Furthermore, the societal impact is already becoming apparent. Automation driven by increasingly sophisticated AI is continuing to reshape the job market. While Altman maintains an optimistic view that AI will ultimately create more jobs than it displaces, the transition will undoubtedly be painful for many. The need for robust retraining programs and a re-evaluation of social safety nets are becoming increasingly urgent. Several nations are experimenting with Universal Basic Income (UBI) programs as a potential solution, though their long-term viability remains uncertain.

Altman's continued advocacy for AI governance has seen him making regular appearances before international legislative bodies. He's pushing for a framework that balances innovation with responsible development, advocating for transparency, rigorous testing, and international cooperation. A key challenge is avoiding stifling innovation with overly restrictive regulations while ensuring adequate safeguards are in place. The EU's AI Act, passed in 2024, serves as a model - and a point of contention - for many countries.

The symposium also featured discussions on the potential for "AI safety failsafe" mechanisms, including the controversial concept of a "kill switch" - a way to immediately shut down an AI system if it becomes uncontrollable. However, experts caution that such mechanisms could be circumvented by a sufficiently advanced AI, and that focusing solely on reactive measures is insufficient. A proactive, preventative approach to AI safety is paramount. The discussion highlights the urgent need for a global conversation about the future we want to create with AI, and the steps we must take to ensure that future is a positive one.