Bricklayers and Related Workers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 3 task statements that define Bricklayers and Related Workers (ISCO-08 7112) score an average of 0.09 on a 0–1 exposure scale — more exposed than about 0% 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 3 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Laying stone, brick and similar building blocks to construct or repair walls, partitions, fireplaces and other structures such as smokestacks, furnaces, converters, kilns and ovens, piers and abutments;”

Scores 0.10 on the 2025 scale. The task of laying stone, brick, and similar building blocks involves substantial physical labor, manual dexterity, and spatial reasoning. Similar tasks in the provided context, such as preparing substrates for plastering (0.135) and installing fences (0.09), emphasize the manual and tactile nature that current Generative AI cannot automate. Generative AI can optimize planning or offer guidance but cannot execute the physical aspects of construction and masonry work. Even with high technological access in Poland, the physical execution required in such tasks limits the potential for full automation, as seen in the low scores for similar manual labor tasks. Therefore, an adjusted score of 0.085 reflects the minimal automation potential, acknowledging the manual labor and skill-based nature of the work.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 7112, 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.

• Brickmasons and Blockmasons
• Refractory Materials Repairers, Except Brickmasons

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.

Bricklayers and Related Workers sit at the 0th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Bricklayers and Related Workers rank in the 0th 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 fell by 0.01 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Laying stone, brick and similar building blocks to construct or repair walls, partitions, fireplaces and other structures such as smokestacks, furnaces, converters, kilns and ovens, piers and abutments;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Bricklayers and Related Workers". https://singulariki.com/gradient/7112-bricklayers-and-related-workers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.