AI exposure: Speech-Language Pathology Assistants

Speech-Language Pathology Assistants is one of the unusual cases where capability and friction are both high. Current systems can produce a great deal of this work, with average capability across its tasks at 2.1 out of 4. Only 25.0% of the weighted task load comes out as exposed, because 29.9% of it runs into something structural. Jobs in this band tend not to disappear. They change shape, and the person stays.

What holds the line here is verification cost. Across this occupation's 11 tasks it averages 2.42 out of 3, the highest of the five friction dimensions. In plain terms, checking the output costs more than producing it. Where an undetected error is expensive, dangerous or irreversible, the economics change. Someone has to verify the work, and verifying can cost as much as doing it. This is the friction most likely to fall as tools for checking improve.

The most exposed thing this job does is Document clients' progress toward meeting established treatment objectives, at 60.0%. The least is Conduct in-service training sessions, or family and community education programs, at 5.0%. A gap of 55.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within healthcare support occupations, this one is more exposed than most. The median across the 19 roles in the group is 11.4%, and only 2 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.

What would move this score. Of 11 tasks, 2 are currently banded exposed, 6 assisted and 3 untouched. For that distribution to shift materially would take a change in who is permitted to sign the work, which is a question for regulators rather than for engineers. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.