Border Patrol Agents
United States · BLS Employment Projections 2024–34 (figures for SOC 33-3051 occupational group)
AI exposure in published research
Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.
Data provider: OpenAI · "GPTs are GPTs"
Time basis: 2023 baselineex-ante estimate
Scored against GPT-4-generation capability.
- Human rater basis
- —
- GPT-4 rater basis
- —
This occupation code is not included in this dataset.
This occupation code is not included in this dataset.
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
— This occupation code is not included in this dataset.
- License:
- MIT License · Copyright (c) 2024 OpenAI
Data provider: Anthropic Economic Index
Time basis: Published 2026-03-05composite index
- Observed exposure
- 12.3%
Theoretical exposure index weighted by measured Claude usage, per the original report's definition.
29 tasks · usage observed in 1 · mean 3.4%
Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex
AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
- Version:
- hf-lmi-2026-03
- License:
- CC BY 4.0
- Observation period:
- — (not applicable to this release)
- Model:
- — (not stated by the source)
- Definition source:
- https://www.anthropic.com/research/labor-market-impacts
2023 prediction vs observation-based index published 2026-03-05
One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.
Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.
The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.
The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.
These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.
Task Breakdown
- Patrol border areas using vehicles, aircraft, and on foot
- Operate surveillance and sensor technology systems
- Inspect documents and interview individuals at checkpoints
- Process and document apprehensions and seizures
About This Occupation
If you work as a Border Patrol Agent, AI is gradually augmenting your profession. With an automation risk of 14/100 and overall exposure at 22%, this role faces low transformation. The highest-impact area is operating surveillance and sensor technology systems at 50% automation. This is classified as an 'augment' role, where AI enhances detection and monitoring capabilities rather than replacing the physical presence and judgment of agents. BLS projects +3% growth through 2034, with median annual wage of $65,800. AI-powered surveillance systems including drone-mounted cameras, ground sensors, and thermal imaging are increasingly supporting border security, but the inherently physical nature of border patrol -- terrain navigation, apprehension of individuals, humanitarian response, and real-time tactical decisions -- ensures continued demand for human agents. Those who become proficient with advanced surveillance and biometric verification technologies will be most effective.
ISCO-08 classification
Customs and Border Inspectors
Indirect mapping — this occupation is linked to the ISCO unit group by a rule-based fallback.
Definition
ILO original text (English)
Customs and border inspectors check persons and vehicles crossing national borders to administer and enforce relevant government rules and regulations.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET13-1041.06
Coroners
Direct activities such as autopsies, pathological and toxicological analyses, and inquests relating to the investigation of deaths occurring within a legal jurisdiction to determine cause of death or to fix responsibility for accidental, violent, or unexplained deaths.
View original
Frequently Asked Questions
The Anthropic Economic Index puts observed exposure at 12.3%. Both figures are reproduced from published research without modification.
They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.