AI exposure by occupation, O*NET 27-3092.00
Will AI replace Court Reporters and Simultaneous Captioners?
Court Reporters and Simultaneous Captioners: AI can already handle 3 of 14 tasks; the work mostly needs an efficient-tier model.
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Every task, scored
The 14 tasks O*NET 30.3 lists for Court Reporters and Simultaneous Captioners, from most to least exposed. 3 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Transcribe recorded proceedings in accordance with established formats. | Estimated | Efficient | |
| Proofread transcripts for correct spelling of words. | Estimated | Standard | |
| Verify accuracy of transcripts by checking copies against original records of proceedings and accuracy of rulings by checking with judges. | Estimated | Efficient | |
| Record verbatim proceedings of courts, legislative assemblies, committee meetings, and other proceedings, using computerized recording equipment, electronic stenograph machines, or stenomasks. | Estimated | Efficient | |
| Ask speakers to clarify inaudible statements. | Estimated | Efficient | |
| Take notes in shorthand or use a stenotype or shorthand machine that prints letters on a paper tape. | Estimated | Efficient | |
| Record symbols on computer storage media and use computer aided transcription to translate and display them as text. | Estimated | Standard | |
| Provide transcripts of proceedings upon request of judges, lawyers, or the public. | Estimated | Efficient | |
| Log and store exhibits from court proceedings. | Estimated | Efficient | |
| File a legible transcript of records of a court case with the court clerk's office. | Estimated | Efficient | |
| File and store shorthand notes of court session. | Estimated | Efficient | |
| Type court orders for judges. | Estimated | Efficient | |
| Respond to requests during court sessions to read portions of the proceedings already recorded. | Estimated | Efficient | |
| Record depositions and other proceedings for attorneys. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 14 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 14 of 14. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
An efficient-tier model or lower covers 85% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 12,870
- Median annual wage
- $72,420
- Middle half of earners
- $53,760 to $100,780
- Projected change, 2024 to 2034
- -0.3%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Medical Transcriptionists 59% skill overlap, about 15 months to move Exposure34
- Interpreters and Translators 59% skill overlap, about 15 months to move Exposure75
- Word Processors and Typists 58% skill overlap, about 15 months to move Exposure73
- Court, Municipal, and License Clerks 55% skill overlap, about 16 months to move Exposure65
- Proofreaders and Copy Markers 55% skill overlap, about 16 months to move Exposure73
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Court Reporters and Simultaneous Captioners and AI
Will AI replace Court Reporters and Simultaneous Captioners?
AI already handles 3 of the 14 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 42 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -0.3% from 2024 to 2034.
What is the AI exposure of Court Reporters and Simultaneous Captioners?
42 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 14 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 14 are estimated from each task's O*NET work activity.
Which Court Reporters and Simultaneous Captioners tasks can AI already do?
The tasks with the highest exposure are: Transcribe recorded proceedings in accordance with established formats; Proofread transcripts for correct spelling of words; Verify accuracy of transcripts by checking copies against original records of proceedings and accuracy of rulings by checking with judges. They are the tasks that reach 60 or more.
What AI model tier does this role need?
An efficient-tier model or lower covers 85% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Court Reporters and Simultaneous Captioners, and what do they earn?
12,870 people in the United States, with a median annual wage of $72,420 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -0.3% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Court Reporters and Simultaneous Captioners. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/court-reporters-and-simultaneous-captioners
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