Printers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define Printers (ISCO-08 7322) score an average of 0.25 on a 0–1 exposure scale — more exposed than about 46% 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 9 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Producing digital print images, and transferring and outputting images.”

Scores 0.41 on the 2025 scale. The task of producing digital print images and transferring and outputting them involves a blend of artistic skill, technical knowledge, and manual operations. Generative AI can excel at enhancing the design and digital preparation of print images, offering capabilities in optimizing and automating parts of digital imaging and layout processes, similar to using software for digital materials (score 0.675). However, the actual process of transferring and outputting images requires a degree of physical interaction with printing machinery—aligning it more with tasks like operating machines for paper cutting (score 0.1365) and setting up print substrate formats (score 0.35). These tasks illustrate the requirement for human skill in aspects such as adjusting machines and ensuring the quality of prints, which current AI models cannot fully replicate due to the hands-on skills and situational judgments involved. Additionally, in a high-income country like Poland, with access to robust technology and digital platforms, the potential for AI to assist in digital aspects is higher, supporting an adjusted score in the higher range of comparable tasks but considering the manual component. Therefore, a score of 0.38 is appropriate, acknowledging that while AI can significantly contribute to the digital aspects, the tactile and physical elements still necessitate human intervention.

Moving fastest, 2023 → 2025

“Mixing ink and solvents to standard, and regulating paper and ink supply during print runs;”

Model capability on this task changed by +0.12 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 7322, 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.

• Printing Press Operators

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.

Printers sit at the 46th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Printers rank in the 46th 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 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Producing digital print images, and transferring and outputting images.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Printers". https://singulariki.com/gradient/7322-printers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.