Pharmaceutical Technicians and Assistants

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define Pharmaceutical Technicians and Assistants (ISCO-08 3213) score an average of 0.30 on a 0–1 exposure scale — more exposed than about 56% 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 Minimal 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

“Pricing and filing prescriptions that have been filled and establish and maintaining patient records, including lists of medications taken by individual patients;”

Scores 0.51 on the 2025 scale. The task of pricing, filing prescriptions, and maintaining patient records involves both structured data management and the execution of specific procedures, similar to the task of maintaining and storing patient health records in various classification systems, which received an adjusted score of 0.575. Tasks requiring structured data entry and routine documentation, like entering personal data for insurance contracts (score 0.6) and archiving documents (score 0.585), reflect the potential for partial automation. However, tasks maintaining a personalized and legal context, like healthcare, require significant human oversight, much like managing medical documentation (score 0.386) where human judgment and regulation compliance are crucial. Generative AI can assist with standard data handling and patient record organization, reducing manual workload, yet cannot fully replicate the nuanced decision-making and legal expertise needed. Given the technological infrastructure of Poland, which supports high potential for utilizing AI tools, an adjusted score of 0.56 reflects the moderate automation potential while acknowledging the critical human oversight required in pharmacological and patient record management.

Moving fastest, 2023 → 2025

“Cleaning and preparing equipment and containers used to prepare and dispense medicines and pharmaceutical compounds.”

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 3213, 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.

• Pharmacy Technicians

In context

Part of the 3 - Technicians and associate professionals major group. Return to the full gradient to see how the whole group sits.

Pharmaceutical Technicians and Assistants sit at the 56th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Pharmaceutical Technicians and Assistants rank in the 56th 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 0.08 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Pricing and filing prescriptions that have been filled and establish and maintaining patient records, including lists of medications taken by individual patients;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Pharmaceutical Technicians and Assistants". https://singulariki.com/gradient/3213-pharmaceutical-technicians-and-assistants.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.