Audiologists and Speech Therapists

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Audiologists and Speech Therapists (ISCO-08 2266) score an average of 0.24 on a 0–1 exposure scale — more exposed than about 43% 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 7 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Administering hearing or speech/language tests or other examinations using specialized diagnostic instruments and equipment, and interpreting test results alongside other medical, social and behavioural diagnostic data to determine appropriate courses of treatment;”

Scores 0.28 on the 2025 scale. The task of administering and interpreting hearing or speech/language tests and other examinations using specialized diagnostic instruments requires a significant degree of human interaction and expertise. While Generative AI can support these tasks by processing test results and providing analytical insights, the tasks also involve subjective assessments and the integration of medical, social, and behavioral data, which require nuanced human judgment. The task's similarities with tasks such as interpreting test results for complex medical conditions (with scores like 0.25 for interpreting auxiliary tests and 0.25 for evaluating neurological tests) highlight the necessity of human expertise despite AI's supportive role. Additionally, while AI can handle some data processing and suggest possible interpretations, the combined need for detailed evaluation and the development of personalized treatment plans heavily rely on human specialists. Given the high-income setting of Poland with robust access to technology, the adjusted score reflects AI's contribution without overshadowing the indispensable human element required in the clinical context.

Moving fastest, 2023 → 2025

“Evaluating hearing, speech and language performance in patients to determine the nature of hearing and communication disorders;”

Model capability on this task changed by +0.13 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 2266, 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.

• Speech-Language Pathologists
• Audiologists

In context

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

Audiologists and Speech Therapists sit at the 43rd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Audiologists and Speech Therapists rank in the 43rd 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 0.04 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Administering hearing or speech/language tests or other examinations using specialized diagnostic instruments and equipment, and interpreting test results alongside other medical, social and behavioural diagnostic data to determine appropriate courses of treatment;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Audiologists and Speech Therapists". https://singulariki.com/gradient/2266-audiologists-and-speech-therapists.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.