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AI Automation Index
Will AI Replace Medical Transcriptionists?
Task-level automation exposure for Medical Transcriptionists: 15 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
67%
weighted task index
15 of 15 tasks scored
Median Salary
$40,410 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
41,550 people hold this job — size, not growth
Projected 2025–35
-4.4%
employment change
6,200 openings a year · BLS line item
Pay by state
BLS OEWS publishes 51 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$27,740 – $50,030
Highest medians
Minnesota $50,030
Wisconsin $49,150
Maine $48,600
Alaska $48,360
Connecticut $48,190
Lowest medians
Oklahoma $27,740
Georgia $28,330
Puerto Rico $31,200
Vermont $33,030
South Carolina $33,870
State figures come from the 31-9094 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 67%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 5%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 96%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 16/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
15 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 96%
14 tasks
Medium exposure (≥ 35%) 4%
1 tasks
Low exposure (below 35%) 0%
0 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#9416 · Core · 70% automatable
Return dictated reports in printed or electronic form for physician's review, signature, and corrections and for inclusion in patients' medical records.
text generation — Draft medical reports from structured findings
Prepare medical reports or documents.
#9421 · Core · 70% automatable
Produce medical reports, correspondence, records, patient-care information, statistics, medical research, and administrative material.
text generation — Draft medical reports from structured findings
Prepare medical reports or documents.
#9419 · Core · 70% automatable
Identify mistakes in reports and check with doctors to obtain the correct information.
text generation — Draft medical reports from structured findings
Prepare medical reports or documents.
#9414 · Core · 70% automatable
Review and edit transcribed reports or dictated material for spelling, grammar, clarity, consistency, and proper medical terminology.
text generation — Draft medical reports from structured findings
Prepare medical reports or documents.
#9413 · Core · 70% automatable
Transcribe dictation for a variety of medical reports, such as patient histories, physical examinations, emergency room visits, operations, chart reviews, consultation, or discharge summaries.
text generation — Draft medical reports from structured findings
Prepare medical reports or documents.
#9415 · Core · 70% automatable
Distinguish between homonyms and recognize inconsistencies and mistakes in medical terms, referring to dictionaries, drug references, and other sources on anatomy, physiology, and medicine.
text generation — Draft medical reports from structured findings
Prepare medical reports or documents.
#9423 · Core · 72% automatable
Set up and maintain medical files and databases, including records such as x-ray, lab, and procedure reports, medical histories, diagnostic workups, admission and discharge summaries, and clinical resumes.
data analysis — Maintain records; human owns clinical accuracy
Maintain medical records.
#9417 · Core · 70% automatable
Translate medical jargon and abbreviations into their expanded forms to ensure the accuracy of patient and health care facility records.
text generation — Draft medical reports from structured findings
Prepare medical reports or documents.
#9420 · Core · 65% automatable
Perform data entry and data retrieval services, providing data for inclusion in medical records and for transmission to physicians.
data analysis — Vital stats entry; clinical accuracy human-owned
Record vital statistics or other health information. Perform clerical work in medical settings.
#20254 · Core · 60% automatable
Take dictation using shorthand, a stenotype machine, or headsets and transcribing machines.
text generation — Clerical medical paperwork aided; compliance review human
Perform clerical work in medical settings.
#9424 · Core · 66% automatable
Perform a variety of clerical and office tasks, such as handling incoming and outgoing mail, completing and submitting insurance claims, typing, filing, or operating office machines.
data analysis — Medical billing coded and processed; human audits denials
Perform clerical work in medical settings. Process medical billing information.
#9425 · Core · 70% automatable
Decide which information should be included or excluded in reports.
text generation — Draft medical reports from structured findings
Prepare medical reports or documents.
#9427 · Core · 60% automatable
Receive and screen telephone calls and visitors.
text generation — Clerical medical paperwork aided; compliance review human
Perform clerical work in medical settings.
#9426 · Supplemental · 67% automatable
Receive patients, schedule appointments, and maintain patient records.
data analysis — Maintain records; human owns clinical accuracy
Schedule patient procedures or appointments. Maintain medical records.
#9422 · Supplemental · 52% automatable
Answer inquiries concerning the progress of medical cases, within the limits of confidentiality laws.
interpersonal — Routine inquiries answerable; nuanced cases need human
Communicate detailed medical information to patients or family members. Respond to customer inquiries.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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