How AI is changing science & research work.
TaskExposed currently tracks 3 occupations in the science & research family, representing approximately 264k workers. The group has an average AI exposure score of 48% and an average resilience score of 72.
The most exposed roles usually contain repeatable, text-heavy, data-heavy, or process-driven tasks. The most resilient roles usually depend on judgment, physical presence, trust, real-time decision-making, or cross-functional human coordination.
Use this page as a career map: compare risk levels, explore lower-exposure adjacent paths, and open individual profession reports for task-level detail.
Most AI-exposed science & research careers
Roles with the highest task-level exposure scores.
Most resilient science & research careers
Roles with the strongest human resilience scores.
High, moderate, and low exposure roles.
No roles in this exposure band yet.
No roles in this exposure band yet.
Explore every science & research profession.
Economists see AI dramatically accelerate data analysis and modelling, but the framing of research questions, policy judgment, and public communication of economic ideas remain distinctly human.
Research scientists see AI dramatically accelerate literature review and data analysis, while hypothesis generation, experimental design, and the interpretation of novel findings remain distinctly human.
Environmental scientists benefit from AI in data analysis and modelling, but field work, regulatory testimony, and the expertise required to interpret novel environmental conditions remain strongly human.