Information and Communications Technology Sales Professionals

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Information and Communications Technology Sales Professionals (ISCO-08 2434) score an average of 0.51 on a 0–1 exposure scale — more exposed than about 89% 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 7 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Updating customer records and preparing sales reports;”

Scores 0.65 on the 2025 scale. The task of updating customer records and preparing sales reports involves structured data handling and record-keeping, where Generative AI can significantly support automation. Similar tasks in the context, such as "Maintaining a register of contractors" and "Issuing sales invoices," received scores close to 0.68, reflecting substantial potential for AI-assisted automation due to their structured and repetitive nature. Generative AI can automate data entry, consistency checks, and even preliminary report formatting, reducing manual effort and error. However, human oversight is necessary for managing complex customer interactions, resolving exceptions, and ensuring data accuracy and compliance with organizational policies. The task does not involve high levels of complexity or nuanced decision-making found in tasks with lower automation potential, such as customer relationship management, which typically involves emotional intelligence and personalized service. Given these factors and the availability of advanced digital infrastructure in a high-income country like Poland, the adjusted score of 0.65 reflects the task's high potential for automation while also acknowledging the critical role of human oversight in maintaining data accuracy and handling exceptions.

Moving fastest, 2023 → 2025

“Soliciting orders and selling goods to retail, industrial, wholesale and other establishments;”

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 2434, 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
• Sales Engineers

In context

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

Information and Communications Technology Sales Professionals sit at the 89th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Information and Communications Technology Sales Professionals rank in the 89th 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 0.04 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Updating customer records and preparing sales reports;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Information and Communications Technology Sales Professionals". https://singulariki.com/gradient/2434-information-and-communications-technology-sales-professionals.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.