When Scientific Cognition Is No Longer Scarce
AI could change which parts of science impede progress. Consider a world in which machine systems are better, faster, and cheaper than people at most scientific work that can be done through a computer. Our question is what would limit science in that world. Literature synthesis, hypothesis generation, software development, simulation, and analysis could become abundant, while experiments, observations, well-supported conclusions, and accountable institutional au- thority remain scarce. Science would then be constrained by a different set of resources. In this paper, we call this change the scarcity inversion and consider four parts of it: selection, physical access, validation, and organ...
| Authors | Nathan DeBardeleben |
|---|---|
| Primary category | cs.CY |
| Published | 7 October 2026 |
| Last updated at source | 7 October 2026 |
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