EXPLORING POSSIBLE AI TRAJECTORIES THROUGH 2030

2026

Open publication workspace · Sign in to read the full PDF.

AI-generated summary

1) This report explores plausible AI development trajectories through 2030, offering crucial insights for policymakers to navigate the benefits and impacts of AI.
2) * Four distinct scenario classes for AI progress by 2030 are presented: progress stalling, slowing, continuing, and accelerating.
* The analysis decomposes plausible AI capability progress across key indicators like language, problem-solving, and robotic intelligence.
* Expert and evidence-informed scenarios are built upon current trends, uncertainties, and potential disruptions in AI development.
3) AI, future of AI, AI scenarios, AI development, AI capabilities

Check the original publication for accuracy and context.