Upholsterers and Related Workers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 12 task statements that define Upholsterers and Related Workers (ISCO-08 7534) score an average of 0.18 on a 0–1 exposure scale — more exposed than about 26% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed 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 12 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Discussing upholstery fabric, colour and style with customers and providing cost estimate for upholstering furniture or other items;”

Scores 0.37 on the 2025 scale. The task of discussing upholstery fabric, color, style with customers, and providing cost estimates involves both technical knowledge and interpersonal communication skills. Generative AI can assist in providing standard recommendations based on gathered data and streamline the cost estimation process by using predetermined parameters for fabric costs, styles, and labor calculations. However, it lacks the ability to assess subjective customer preferences, adjust to nuanced interactions, or understand specific design contexts, which remain crucial aspects that require human expertise. Looking at semantically similar tasks, "Discussing upholstery fabric, colour, and style with customers and providing cost estimate for upholstering furniture or other items" aligns somewhat with tasks like "accompanying a client on shopping trips" (which scored 0.485), as both involve a high degree of personalized service and human sensitivity to preferences. However, numerically detailed tasks such as "Calculating the consumption of clothing materials" had scores reflecting the structured yet human-guided elements involved, like 0.4 for automation potential. Given Poland's high technological literacy and digital access, AI can significantly support procedural elements of the task but not replace the nuanced human component required for tailoring advice to the client's needs. Thus, a balanced score that reflects moderate assistance potential without full automation is appropriate.

Moving fastest, 2023 → 2025

“Laying out, cutting, fabricating and installing upholstery in aircrafts, motor vehicles, railway cars, boats and ships;”

Model capability on this task changed by +0.05 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 7534, 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.

• Upholsterers

In context

Part of the 7 - Craft and related trades workers major group. Return to the full gradient to see how the whole group sits.

Upholsterers and Related Workers sit at the 26th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Upholsterers and Related Workers rank in the 26th 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 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.01 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Discussing upholstery fabric, colour and style with customers and providing cost estimate for upholstering furniture or other items;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Upholsterers and Related Workers". https://singulariki.com/gradient/7534-upholsterers-and-related-workers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.