Systems Analysts

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Systems Analysts (ISCO-08 2511) score an average of 0.49 on a 0–1 exposure scale — more exposed than about 87% 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 2 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

“Developing functional specifications for use by systems developers;”

Scores 0.56 on the 2025 scale. The task of developing functional specifications for use by systems developers involves detailing project requirements, expectations, and constraints, which requires both technical understanding and contextual judgment. Generative AI can assist in drafting specifications by organizing requirements, generating initial documentation, and suggesting standard practices based on existing data, similar to the tasks of managing construction documentation and preparing digital materials, which had adjusted scores of 0.5 and 0.685, respectively. However, the creation of functional specifications often requires nuanced understanding of specific project goals, stakeholder needs, and how these translate into technical requirements—areas where human oversight is critical. The task's nature shares similarities with tasks like directing development of new company standards and developing technical specifications (0.55 and 0.475), where AI supports but doesn't fully automate the human-centric aspects. Considering the high standard of technology and infrastructure in Poland, which allows for effective AI utilization, an adjusted score of 0.475 reflects the potential for AI assistance while acknowledging the indispensable role of human expertise in this domain.

Moving fastest, 2023 → 2025

“Coordinating and linking the computer systems within an organization to increase compatibility.”

Model capability on this task changed by +0.25 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 2511, 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.

No U.S. role resolves through the crosswalk for this occupation. Search the encyclopedia for the closest match →

In context

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

Systems Analysts sit at the 87th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Systems Analysts rank in the 87th 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 rose by 0.12 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Developing functional specifications for use by systems developers;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Systems Analysts". https://singulariki.com/gradient/2511-systems-analysts.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.