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AI Automation Index
Will AI Replace Bailiffs?
Task-level automation exposure for Bailiffs: 15 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
24%
weighted task index
15 of 15 tasks scored
Median Salary
$56,600 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
17,310 people hold this job — size, not growth
Projected 2025–35
-1.9%
employment change
1,600 openings a year · BLS line item
Pay by state
BLS OEWS publishes 45 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$27,560 – $111,890
Highest medians
Connecticut $111,890
Alaska $90,600
Massachusetts $86,730
Washington $78,290
New York $77,540
Lowest medians
North Dakota $27,560
Kentucky $30,760
South Carolina $34,280
Tennessee $35,990
West Virginia $36,250
State figures come from the 33-3011 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 24%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 62%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 0%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 11%
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 32/100
Moderate
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) 5%
1 tasks
Medium exposure (≥ 35%) 27%
4 tasks
Low exposure (below 35%) 68%
10 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
#20123 · Core · 5% automatable
Screen persons entering courthouse using magnetometers, x-ray machines, and other devices to collect and retain unauthorized firearms and other contraband.
physical manipulation — Physically confiscating items from people
Confiscate prohibited or dangerous items. Search individuals for illegal or dangerous items.
#20127 · Core · 3% automatable
Escort prisoners to and from courthouse and maintain custody of prisoners during court proceedings.
situated mobility — Physical custody and escort of prisoners
Escort prisoners to courtrooms, prisons, or other facilities.
#2091 · Core · 5% automatable
Maintain order in courtroom during trial and guard jury from outside contact.
situated mobility — Physical escorting of individuals
Provide security escorts for officials, jury members, or other individuals. Maintain public order or security.
#20124 · Core · 10% automatable
Provide security by patrolling interior and exterior of courthouse and escorting judges and other court employees.
situated mobility — Patrolling properties is embodied mobile work
Patrol properties to maintain safety. Provide security escorts for officials, jury members, or other individuals.
#2092 · Core · 8% automatable
Guard lodging of sequestered jury.
situated mobility — Physical guarding of facilities
Guard facilities.
#2094 · Core · 28% automatable
Enforce courtroom rules of behavior and warn persons not to smoke or disturb court procedure.
interpersonal — Warning individuals is live, relational, accountable
Maintain public order or security. Warn individuals about rule violations or safety concerns.
#21197 · Core · 3% automatable
Arrest persons in court when arrest warrants have been issued.
physical manipulation — Physically detaining suspects
Detain suspects or witnesses.
#2095 · Core · 55% automatable
Report need for police or medical assistance to sheriff's office.
interpersonal — Emergency request requires live accountable action
Request emergency personnel.
#20125 · Core · 45% automatable
Check courtroom for security and cleanliness and assure availability of sundry supplies, such as notepads, for use by judge, jurors, and attorneys.
data analysis — Materials inventory records and forecasting automatable
Inspect facilities for cleanliness. Maintain inventories of materials, equipment, or products.
#2098 · Core · 10% automatable
Stop people from entering courtroom while judge charges jury.
situated mobility — Physical guarding of restricted areas
Prevent unauthorized individuals from entering restricted areas.
#20126 · Core · 30% automatable
Screen, control, and handle evidence and exhibits during court proceedings.
physical manipulation — Forensic evidence handling requires chain-of-custody hands
Process forensic or legal evidence in accordance with procedures.
#21198 · Core · 45% automatable
Provide assistance to the public, such as directions to court offices.
interpersonal — Public presentation is live human performance
Present information to the public.
#2097 · Core · 45% automatable
Announce entrance of judge.
interpersonal — Informing audiences is live presence and persuasion
Inform viewers, listeners, or audiences.
#20128 · Supplemental · 78% automatable
Maintain court docket.
text generation — Document regulatory info from provided facts
Document legal or regulatory information.
#2093 · Supplemental · 5% automatable
Provide jury escort to restaurant and other areas outside of courtroom to prevent jury contact with public.
situated mobility — Physical escorting of individuals
Provide security escorts for officials, jury members, or other individuals.
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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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