Will AI replace Biologist?

More exposed than 46% of the occupations in the index.

Averaged across 23 O*NET tasks, weighted by importance.

AI tools significantly transform what an individual biologist can achieve across almost every stage of the research cycle. Advanced machine learning models (such as AlphaFold for protein structure prediction, computer vision for species identification and cellular imaging, and automated bioinformatics pipelines) allow biologists to analyze complex biological datasets at unprecedented scale. Simultaneously, generative AI assists with writing grant proposals, synthesizing literature, drafting research reports, and writing data analysis code in R or Python. While physical laboratory experiments and field data collection still require hands-on human presence, AI fluency is rapidly becoming a key differentiator in a biologist's research efficiency and output.