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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Court Reporters and Simultaneous Captioners are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Court reporters and simultaneous captioners are labeled as "Not Very Resilient" because AI is increasingly able to perform many of their tasks, such as drafting transcripts and generating captions. While AI can do these tasks faster and cheaper, human experts are still needed to ensure high accuracy and make corrections, especially for complex legal language.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is not very resilient
Court reporters and simultaneous captioners are labeled as "Not Very Resilient" because AI is increasingly able to perform many of their tasks, such as drafting transcripts and generating captions. While AI can do these tasks faster and cheaper, human experts are still needed to ensure high accuracy and make corrections, especially for complex legal language.
Read full analysisAnalysis of Current AI Resilience
Court Reporter & Captnr
Updated Quarterly • Last Update: 2/17/2026

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.

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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They type out everything said in court or at events, creating official records or captions for people who are deaf or hard of hearing.
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
Ask speakers to clarify inaudible statements.
Record depositions and other proceedings for attorneys.
Take notes in shorthand or use a stenotype or shorthand machine that prints letters on a paper tape.
File a legible transcript of records of a court case with the court clerk's office.
Respond to requests during court sessions to read portions of the proceedings already recorded.
File and store shorthand notes of court session.
Verify accuracy of transcripts by checking copies against original records of proceedings and accuracy of rulings by checking with judges.
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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