The AI revolution fundamentally accelerates innovation, transforming what was an 18-month doubling of capabilities into a six-month doubling due to breakthroughs like deep neural networks and AI accelerators.

AI 2027 is our scenario trying to forecast the next few years of AI progress, aiming to provide a concrete story that shows the transitional steps leading to AGI in 2027 and potentially superintelligence in 2028.

The intelligence explosion is expected to occur in 2027, with AIs significantly accelerating research progress through a multiplier effect.

As we approach mid-2027, the key factors in AI research will be the taste of AI agents and the amount of compute available for experiments, as these will determine the effectiveness of automated AI research.

The emergence of AI agents allows models to autonomously retrieve information, run code, and perform multiple tasks without human intervention, leading to significant economic impacts.

AI agents are evolving rapidly, with their ability to run tasks doubling every seven months, leading to significant implications for labor.

The current AI landscape is rapidly evolving, with increasing investment leading to better outcomes, similar to the internet's growth in the 90s.

In the coming years, we will see more experiments on how to effectively deploy and manage multiple AI agents for complex tasks.

The developments in AI are astonishing compared to the rapid evolution of the web, as AI systems are changing significantly from month to month, unlike the web which evolved more slowly.