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Glossary

Adoption lag

The gap between what AI can technically do and what employers actually deploy, driven by integration cost, workflow redesign, quality control, and organizational change speed.

What this means in practice

Capability headlines measure what is possible in a demo; labor markets move at the speed of procurement, integration, and trust. Adoption lag is why near-term displacement is consistently slower than raw capability suggests, and why the model weighs near-term adoption separately from automation potential.

Medical Transcriptionists show the lag closing: speech-to-text was deployable for years before ambient documentation made substitution near-total. Insurance Underwriters show it holding: models can score risk, but carriers must validate, file, and defend automated decisions before deploying them.

In the data

See this term in the occupation data

These published occupation pages show adoption lag in action — with task-level exposure, automation and augmentation scores, wage context, and transition pathways.

SOC 31-9094

Medical Transcriptionists

Speech recognition and ambient clinical documentation have automated the core dictation-to-text workflow that defined this occupation. Employment is declining sharply, and remaining work centers on editing AI output for terminology accuracy.

Exposure
90
Automation
76%
Augment
24%
SOC 13-2053

Insurance Underwriters

Personal-lines risk scoring is already largely algorithmic, and AI extends that reach into small-commercial underwriting. Complex commercial, specialty, and excess lines still depend on negotiated judgment, broker relationships, and portfolio strategy, which is where underwriters should move.

Exposure
74
Automation
52%
Augment
50%
SOC 13-1031

Claims Adjusters, Examiners, and Investigators

Document review, damage estimation from photos, and routine claim decisions are moving into automated pipelines. Contested claims, fraud investigation, catastrophe response, and empathetic communication during loss remain strongly human, so the role concentrates into its hardest cases.

Exposure
70
Automation
47%
Augment
53%