Philosophers, Historians and Political Scientists

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Philosophers, Historians and Political Scientists (ISCO-08 2633) score an average of 0.47 on a 0–1 exposure scale — more exposed than about 85% 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 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Extracting relevant material, checking its authenticity, and researching into and describing the history of a particular period, country or region, or a particular facet - for example economic, social or political - of its history;”

Scores 0.54 on the 2025 scale. The task of researching and describing the history of a particular period or region involves a blend of data gathering, contextual interpretation, and critical analysis. Generative AI can assist significantly in generating initial drafts, organizing historical data, and suggesting frameworks for analysis by processing extensive datasets and providing summaries. However, the nuanced understanding of historical context, synthesis of various sources, and critical analysis are areas where human expertise is paramount, similar to the task of preparing expert reports and analyses in cultural history (adjusted score: 0.575). Comparing this task to those involving data-driven analyses with lower automation scores—such as maintaining proper indexes of historical records, which require meticulous attention and understanding—the automation potential is less due to the subjective and interpretative nature of historical research. Given Poland's technical infrastructure that supports AI implementation but recognizing the need for expert human judgment, I suggest a moderate score of 0.52. This reflects AI's assistance in data processing and text generation while emphasizing the essential human role in critical analysis and contextual interpretation.

Moving fastest, 2023 → 2025

“Presenting findings and conclusions for publication or use by government, political parties or other organizations and interested persons;”

Model capability on this task changed by +0.34 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 2633, 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.

• Social Scientists and Related Workers, All Other
• Transportation Planners
• Political Scientists
• Historians

In context

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

Philosophers, Historians and Political Scientists sit at the 85th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Philosophers, Historians and Political Scientists rank in the 85th 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 0.06 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Extracting relevant material, checking its authenticity, and researching into and describing the history of a particular period, country or region, or a particular facet - for example economic, social or political - of its history;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Philosophers, Historians and Political Scientists". https://singulariki.com/gradient/2633-philosophers-historians-and-political-scientists.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.