O*NET: Medical Transcriptionists·31-9094.00
The Verdict:AI speech recognition converts physician dictation into medical documents at near-professional accuracy. The core function — audio to text — is automated at scale across healthcare. Remaining roles focus on quality review, but these positions shrink as accuracy improves. The profession has contracted steadily and the decline is accelerating.
How much of this role's daily work remains beyond AI and robotic automation.
The degree to which this job needs a human present — hands-on, in the field, or in the room.
How important the unique human edge is — for trust, accountability, or judgment.
How strong the legal requirement is for a human in this job (by law, licensing, or credentials).
How far AI remains from performing this role's core functions.
The volume of jobs in this field being eliminated by AI or automation right now.
Median annual wage from the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), May 2024 release.
Projected change in total number of jobs (not salary) from 2024–2034. Source: Bureau of Labor Statistics Employment Projections.
Percentage of this role's analyzed tasks that AI can handle autonomously or nearly so. 8 of 15 tasks are classified as AI-exposed.
A significant share of this role is already automatable.
8 of 15 tasks can be handled by AI. Your value concentrates in the human-essential tasks below. The 47% of tasks that are AI-leverage is where mastering the tools keeps you ahead.
Tasks AI can do autonomously or nearly so
Master these tools — humans who do outperform those who don't
Tasks requiring trust, presence, or novel judgment
Medical Transcriptionist lands in Lower Pay, High Risk