SOC 27-3092

Court Reporters and Simultaneous Captioners AI displacement risk

Speech recognition can now produce rough verbatim transcripts cheaply, pressuring the core stenographic task. Certified accuracy, real-time captioning, legal formatting, and courtroom procedure keep certified reporters preferred for official records.

Exposure78

Share and intensity of work current AI systems can materially affect.

Automation56%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandHigh

Many jurisdictions face reporter shortages even as digital recording spreads, because courts still require certified, legally defensible transcripts. The role is being reshaped toward transcript verification more than eliminated.

Distribution

Where Court Reporters and Simultaneous Captioners sits across 620 tracked roles

Court Reporters and Simultaneous Captioners · 64050100

Displacement pressure 64 — higher than 91% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

15 O*NET task statements matched to SOC 27-3092. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $72,420 (May 2025, US national). The latest BLS row matched SOC 27-3092.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Court Reporters and Simultaneous Captioners

SOC 27-3092 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 64/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Court Reporters and Simultaneous Captioners

The current evidence import matched 15 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks15
SOC27-3092
  • Core task / ID 8654

    Provide transcripts of proceedings upon request of judges, lawyers, or the public.

  • Core task / ID 8663

    Record symbols on computer storage media and use computer aided transcription to translate and display them as text.

  • Core task / ID 8655

    Record verbatim proceedings of courts, legislative assemblies, committee meetings, and other proceedings, using computerized recording equipment, electronic stenograph machines, or stenomasks.

  • Core task / ID 8661

    Record depositions and other proceedings for attorneys.

  • Core task / ID 8657

    Ask speakers to clarify inaudible statements.

  • Core task / ID 21183

    Proofread transcripts for correct spelling of words.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

language

Record verbatim proceedings

Exposure 82, automation 60%, augmentation 40%.

O*NET evidence: Record verbatim proceedings of courts, legislative assemblies, committee meetings, and ... (ID 8655)

compliance

Proofread and certify transcripts

Exposure 72, automation 46%, augmentation 56%.

O*NET evidence: Proofread transcripts for correct spelling of words. (ID 21183)

language

Provide real-time captioning

Exposure 58, automation 34%, augmentation 48%.

information

Manage exhibits and record requests

Exposure 48, automation 28%, augmentation 42%.

O*NET evidence: Respond to requests during court sessions to read portions of the proceedings already r... (ID 8660)

TaskExposureAutomationAugmentation
Record verbatim proceedings8260%40%
Proofread and certify transcripts7246%56%
Provide real-time captioning5834%48%
Manage exhibits and record requests4828%42%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Transcript Quality Reviewer

Training horizon: 2-4 months. Skill overlap 76. Wage preservation signal 104.

  • Audit AI-generated transcripts
  • Correct legal terminology errors
  • Certify final records
High
adjacent role

CART Captioner

Training horizon: 2-5 months. Skill overlap 78. Wage preservation signal 102.

  • Practice real-time captioning
  • Learn accessibility standards
  • Serve education and event clients
High

Comparison guides

Compare the next move before you commit

What the AI risk score means for Court Reporters and Simultaneous Captioners

The displacement pressure score for Court Reporters and Simultaneous Captioners is 64. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Record verbatim proceedings carries 60% automation pressure, while Proofread and certify transcripts carries 56% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $72,420 (May 2025, US national). Employment context: Specialized legal record role with certification barriers. Typical education: Postsecondary certificate; state certification often required.

Wage vulnerability is 52, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • High task exposure
  • Certification protects official records
  • Verification roles are emerging

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Court Reporters and Simultaneous Captioners, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Realtime stenography

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Legal terminology

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Transcript certification

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Captioning standards

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Transcript Quality Reviewer, such as audit ai-generated transcripts.
  3. By 90 days, compare internal openings and external postings for Transcript Quality Reviewer or CART Captioner and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Court Reporters and Simultaneous Captioners

Will AI replace Court Reporters and Simultaneous Captioners?

Speech recognition can now produce rough verbatim transcripts cheaply, pressuring the core stenographic task. Certified accuracy, real-time captioning, legal formatting, and courtroom procedure keep certified reporters preferred for official records. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Court Reporters and Simultaneous Captioners work are most exposed to AI?

Record verbatim proceedings and Proofread and certify transcripts show the strongest automation pressure in this model. Proofread and certify transcripts and Provide real-time captioning are better treated as AI-augmented work.

What should Court Reporters and Simultaneous Captioners learn next?

Start with Realtime stenography, Legal terminology, Transcript certification. The most practical adjacent paths in this model are Transcript Quality Reviewer and CART Captioner.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail