Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They type out everything said in court or at events, creating official records or captions for people who are deaf or hard of hearing.
This role is changing fast
The career of Court Reporters and Simultaneous Captioners is changing fast because AI tools are starting to handle tasks like drafting transcripts and captions quickly and cheaply. However, AI still struggles with difficult legal terms and unclear speech, so human expertise is essential to ensure accuracy and make corrections.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
The career of Court Reporters and Simultaneous Captioners is changing fast because AI tools are starting to handle tasks like drafting transcripts and captions quickly and cheaply. However, AI still struggles with difficult legal terms and unclear speech, so human expertise is essential to ensure accuracy and make corrections.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Court Reporter & Captnr
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today’s court reporters already use computers and special stenography machines to help. Some modern tools even use speech-recognition AI to draft transcripts. For example, researchers are testing automatic transcription tuned for legal speech and finding that AI is improving [1] [2].
But studies show AI still makes more mistakes with legal terms or muffled speech. One analysis found top AI captions were about 95–96% accurate, while human captioners hit ~99% accuracy [3]. Because accuracy is crucial, real court transcripts usually still need a human expert to finalize them [4].
Humans can stop the action to ask a speaker to repeat or clarify – something AI can’t do right now [4]. In practice, many reporters use AI as a helper (for example, generating an initial draft or caption) but then review and edit the text themselves. In short, automation and AI are making parts of the job easier and faster, but people remain in charge of ensuring the record is 100% correct.

AI in the real world
Courts and captioning services consider AI tools carefully. AI could speed up work and save money – automated captioning is cheaper and faster than typing every word by hand [3]. Also, many areas lack enough reporters (in California, millions of hearings went unrecorded due to shortages [4]), so technology becomes tempting.
However, legal rules and trust issues slow things down. In most states, an official transcript still must be certified by a licensed reporter, not just a computer printout [4]. Laws and disability-access rules also demand very high accuracy for captions [3].
And some experts caution that people don’t fully trust AI, especially for important records [3] [4]. In practice, this means courts may use AI first in lower-stakes tasks (like a first draft of a transcript or automatic captions for practice), while human reporters handle the final checks. Overall, the job will change – reporters will likely work alongside AI – but human skills like careful listening, judgment, and quick corrections remain essential [4] [3].

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Median Wage
$67,310
Jobs (2024)
17,700
Growth (2024-34)
-0.3%
Annual Openings
1,700
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
File a legible transcript of records of a court case with the court clerk's office.
Ask speakers to clarify inaudible statements.
Verify accuracy of transcripts by checking copies against original records of proceedings and accuracy of rulings by checking with judges.
Respond to requests during court sessions to read portions of the proceedings already recorded.
Take notes in shorthand or use a stenotype or shorthand machine that prints letters on a paper tape.
File and store shorthand notes of court session.
Record depositions and other proceedings for attorneys.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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