The Next Bottleneck In AI For Science Isn't Compute, It's Data
DDN, Wednesday, March 18th, 2026
Artificial intelligence (AI) is rapidly transforming how science is conducted. Across disciplines-from climate modeling and materials discovery to genomics and energy research-AI is accelerating the pace of discovery and enabling scientists to explore problems that were previously impossible to solve.
National initiatives like Genesis represent an important step toward scaling AI for scientific discovery. But as these efforts expand, one reality is becoming increasingly clear:
The biggest barrier to AI-driven science is no longer compute power or model capability.
It is the data layer.