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The main companies building AI, such as OpenAI, Anthropic, and Google DeepMind, are explicitly aiming for artificial general intelligence: AI that has the same kind of general reasoning ability that humans have, and can do all the same tasks and jobs (at least the ones that don’t require a physical body).
We’re not quite there yet, and predicting technological progress is hard. But there are a few reasons to think we'll see human-level AI soon — in decades or maybe even just a few years.
- Extrapolating intuitively from past progress, if AI took just a few years to go from a high-school-level to a PhD-level ability to answer questions in science, mathematics, and programming, then it’s not crazy to think it could overcome the remaining hurdles to general human-level reasoning in a few more years.
- Looking at the gap that remains between current and human-level AI, there isn't widespread agreement on a clear and qualitative factor that is missing. Progress doesn’t seem to be stalling out, and we can’t rule out the “scaling hypothesis”, which says that just putting more computation into training systems similar to today’s will continue to result in smarter AIs. Even if scaling isn’t enough, and we need some new ideas, it may not take many new ideas to successfully apply today’s general learning methods to build something human level.
- Some people have tried to build quantitative models of future AI progress. One way of doing this is to estimate the level of computing power it would take to train a human-level model — for example, by human biological equivalents. We have major uncertainty about what that level is, but it’s probably not more than, say, ten orders of magnitude away, and we’re on track to continue making big leaps toward it. Large companies are spending hundreds of billions per year building datacenter infrastructure intended largely for future AI. As of early 2025, the “Stargate” collaboration plans to build AI technology with half a trillion dollars. And hardware and software keep getting not just larger in scale, but better. Modeling AI progress is not an exact science, but such modeling tends to predict AGI in the coming decades.
- Finally, the people who know most about the technology are bullish. Founders and employees of AI labs are predicting we’ll have AGI soon — in some cases, such as Anthropic’s Dario Amodei and Google DeepMind’s Shane Legg, in a few years. You might think they’re hyping up the technology for financial gain. But leading academic AI researchers Geoffrey Hinton and Yoshua Bengio, who are not affiliated with AI companies, have both predicted it will happen in 5 to 20 years. Another “godfather of AI”, Yann LeCun, has been skeptical of fast progress based on current approaches. But his skepticism now takes the form of: “When I say very far, it’s not centuries, it may not be decades, but it’s several years.”
Given that intuition, modeling, and experts all point in a similar direction, it’s reasonable to plan for the possibility of AI reaching human-level soon. But human-level isn’t the limit — systems can potentially become far smarter than us.