Technical and Medical Sales Professionals (excluding ICT)

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 12 task statements that define Technical and Medical Sales Professionals (excluding ICT) (ISCO-08 2433) score an average of 0.50 on a 0–1 exposure scale — more exposed than about 88% 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 3 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

“Acquiring and updating knowledge of employers‚Äô and competitors‚Äô goods and services, and market conditions;”

Scores 0.66 on the 2025 scale. The task of acquiring and updating knowledge of employers' and competitors' goods and services, and market conditions, shares similarities with other semantically related tasks such as collecting and analyzing information about customer expectations and market demand (score: 0.64) and analyzing the IT market and competition (score: 0.395). These tasks involve significant data gathering, analysis, and reporting, areas where Generative AI can assist by processing large datasets, delivering insights, and monitoring changes in market trends. However, while AI can handle the informational and analytical components, the application of this knowledge to strategic business decisions still significantly relies on human expertise, especially in interpreting nuanced market conditions and formulating competitive strategies. Given the task is performed in a high-income country like Poland, where there is good access to technological tools, the potential for AI to support the acquisition and updating of market knowledge is substantial, justifying an adjusted score at the higher end of the cluster for data-driven tasks while still considering the need for human oversight and strategic thinking.

Moving fastest, 2023 → 2025

“Visiting regular and prospective client businesses to establish and act on selling opportunities;”

Model capability on this task changed by +0.31 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 2433, 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.

• Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products
• Solar Sales Representatives and Assessors
• First-Line Supervisors of Non-Retail Sales Workers

In context

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

Technical and Medical Sales Professionals (excluding ICT) sit at the 88th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Technical and Medical Sales Professionals (excluding ICT) rank in the 88th 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 fell by 0.05 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Acquiring and updating knowledge of employers‚Äô and competitors‚Äô goods and services, and market conditions;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Technical and Medical Sales Professionals (excluding ICT)". https://singulariki.com/gradient/2433-technical-and-medical-sales-professionals-excluding-ict.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.