Sociologists, Anthropologists and Related Professionals

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define Sociologists, Anthropologists and Related Professionals (ISCO-08 2632) score an average of 0.48 on a 0–1 exposure scale — more exposed than about 86% of the 427 placed occupations. Roughly 100% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Gradient 2 band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 9 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Analysing and evaluating social data;”

Scores 0.61 on the 2025 scale. Analyzing and evaluating social data involves processing quantitative and qualitative data to identify patterns, draw conclusions, and potentially generate reports. Generative AI can assist significantly in data analysis, recognizing patterns, and creating visualizations or preliminarily summaries. However, the role requires nuanced interpretation, understanding social dynamics, and making contextual judgments, where human expertise is irreplaceable. Semantically similar tasks, such as "Creating analyses and comparing results of measurements from conducted experiments" with an adjusted score of 0.57, show a parallel in data processing with a balance between AI assistance and human oversight. Similarly, "Conducting research, developing results and analyzing demographic processes" with a score of 0.55 demonstrates the need for human interpretation in large data analyses. Furthermore, "Analyzing the market of similar services and forecasting the demand for services" with a score of 0.405 shows the significant support potential of AI in data-heavy tasks. While technologies enable AI to automate repetitive data tasks and suggest insights, interpreting social data necessitates high-level human insight. Given Poland's digital infrastructure, AI can significantly aid but not fully automate the task, thus supporting a score of 0.58.

Moving fastest, 2023 → 2025

“Advising on the practical application of findings in the formulation of economic and social policies for population groups and regions, and for the development of markets;”

Model capability on this task changed by +0.26 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 2632, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• Anthropologists and Archeologists
• Sociologists
• Geographers

In context

Part of the 2 - Professionals major group. Return to the full gradient to see how the whole group sits.

Sociologists, Anthropologists and Related Professionals sit at the 86th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Sociologists, Anthropologists and Related Professionals rank in the 86th percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 100% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Analysing and evaluating social data;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Sociologists, Anthropologists and Related Professionals". https://singulariki.com/gradient/2632-sociologists-anthropologists-and-related-professionals.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.