As planners, we should first address bottlenecks preventing progress, such as the lack of humanoid robots or automated biology labs.

Scientific progress is often hindered not by a lack of new ideas, but by the slow and expensive process of testing those ideas in the lab. My focus is on how AI can replace or minimize the need for these lab experiments.

If we could vastly increase the rate of new scientific discovery with AI, it would lead to incredible improvements in everyone's lives.

While AI isn't conducting new scientific research, it enables scientists to complete their work more quickly and effectively.

If every scientist utilized AI effectively, they could be significantly more productive, potentially leading to major medical breakthroughs much earlier than expected.

If AI systems become more productive, they will first speed up human productivity, then equal it, and eventually become the main contributors to scientific progress.

By 2050, we envision a fully automated lab capable of simulating drug interactions with high accuracy, significantly speeding up drug discovery processes.

Closed scientific robotic and AI systems are enabling hyper-acceleration in scientific discoveries by allowing AI to propose and run experiments autonomously.

The algorithms of today, combined with sufficient data, could automate white-collar work, even if progress stalls.