Position Paper: Unlocking the Potential of AI Researchers in Scientific Discovery-What Is Missing?
For the AI and scientific communities, this paper highlights the untapped potential of AI researchers in driving scientific breakthroughs and outlines strategic interventions to accelerate AI4Science adoption.
This position paper analyzes the current state of AI for Science (AI4Science), noting a fifteen-fold increase in publications over the past decade yet still under 3% of total publications. It projects AI4Science's share to reach ~20% by 2050 and proposes pathways to empower AI researchers to lead scientific discovery.
The potential of AI researchers in scientific discovery remains largely untapped. Over the past decade, AI for Science (AI4Science) publications in 145 Nature Index journals have increased fifteen-fold, yet they still account for less than 3% of the total publications. Drawing upon the Diffusion of Innovation theory, we project AI4Science's share of total publications to rise from 2.72% in 2024 to approximately 20% by 2050. Achieving this shift requires fully harnessing the potential of AI researchers, as nearly 95% of AI-driven research in these journals is led by experimental scientists. To facilitate this, we propose structured workflows and strategic interventions to position AI researchers at the forefront of scientific discovery. Specifically, we identify three critical pathways: equipping experimental scientists with accessible AI tools to amplify the impact of AI researchers, bridging cognitive and methodological gaps to enable more direct involvement in scientific discovery, and proactively fostering a thriving AI-driven scientific ecosystem. By addressing these challenges, we aim to empower AI researchers as key drivers of future scientific breakthroughs.