Intelligence Analysts

O*NET-SOC code: 33-3021.06

Gather, analyze, or evaluate information from a variety of sources, such as law enforcement databases, surveillance, intelligence networks or geographic information systems. Use intelligence data to anticipate and prevent organized crime activities, such as terrorism.

Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery high
Group-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
Source dataset (XLSX download)
Data source: AnthropicPublished: 2026-03
0.037
0.000Range of values carried here0.745
Group-level value
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
Source dataset (CSV download)
Data source: ILOPublished: 2025
0.23
0.09Range of values carried here0.70
Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
Source dataset (PDF download)

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

Show 11 hidden tasks

20 rated tasks · 19 tasks with β ≥ 0.5 (95.0%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
All rated tasks are in the O*NET 31.0 task list.

Source: OpenAI "GPTs are GPTs" exposure rubric
Release: gh-main-0471612
License: MIT License, Copyright (c) 2024 OpenAI

Task (O*NET 20.1)	Claude.aiRaw / share %	APIRaw / share %
Design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools. 33-3021.06	0.007536.9	0.007144.4
Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases. 33-3021.06	0.005125.1	0.002817.2
Gather intelligence information by field observation, confidential information sources, or public records. 33-3021.06	0.004622.6	—0
Prepare comprehensive written reports, presentations, maps, or charts based on research, collection, and analysis of intelligence data. 33-3021.06	0.003115.4	—0
Operate cameras, radios, or other surveillance equipment to intercept communications or document activities.	—0	0.002213.9
Predict future gang, organized crime, or terrorist activity, using analyses of intelligence data.	—0	0.002113.2
Validate known intelligence with data from other sources.	—0	0.001811.3

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

Task (O*NET 27.2)	βE1 + 0.5 × E2
Design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools. O*NET Task ID 17544	1.0
Study communication code languages or foreign languages to translate intelligence. O*NET Task ID 17559	1.0
Predict future gang, organized crime, or terrorist activity, using analyses of intelligence data. O*NET Task ID 17542	0.5
Study activities relating to narcotics, money laundering, gangs, auto theft rings, terrorism, or other national security threats. O*NET Task ID 17543	0.5
Establish criminal profiles to aid in connecting criminal organizations with their members. O*NET Task ID 17545	0.5
Evaluate records of communications, such as telephone calls, to plot activity and determine the size and location of criminal groups and members. O*NET Task ID 17546	0.5
Gather and evaluate information, using tools such as aerial photographs, radar equipment, or sensitive radio equipment. O*NET Task ID 17547	0.5
Gather intelligence information by field observation, confidential information sources, or public records. O*NET Task ID 17548	0.5
Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases. O*NET Task ID 17549	0.5
Link or chart suspects to criminal organizations or events to determine activities and interrelationships. O*NET Task ID 17550	0.5
Operate cameras, radios, or other surveillance equipment to intercept communications or document activities. O*NET Task ID 17551	0.5
Prepare comprehensive written reports, presentations, maps, or charts, based on research, collection, and analysis of intelligence data. O*NET Task ID 17552	0.5
Prepare plans to intercept foreign communications transmissions. O*NET Task ID 17553	0.5
Study the assets of criminal suspects to determine the flow of money from or to targeted groups. O*NET Task ID 17554	0.5
Validate known intelligence with data from other sources. O*NET Task ID 17555	0.5
Collaborate with representatives from other government and intelligence organizations to share information or coordinate intelligence activities. O*NET Task ID 17556	0.5
Develop defense plans or tactics, using intelligence and other information. O*NET Task ID 17557	0.5
Analyze intelligence data to identify patterns and trends in criminal activity. O*NET Task ID 21199	0.5
Conduct presentations of analytic findings. O*NET Task ID 21200	0.5
Show 9 more tasks ▾Show less ▴

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

All O*NET 31.0 task statements (21)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

Task (O*NET 31.0)	Type
Predict future gang, organized crime, or terrorist activity, using analyses of intelligence data.	Core
Study activities relating to narcotics, money laundering, gangs, auto theft rings, terrorism, or other national security threats.	Core
Design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools.	Core
Establish criminal profiles to aid in connecting criminal organizations with their members.	Core
Evaluate records of communications, such as telephone calls, to plot activity and determine the size and location of criminal groups and members.	Core
Gather intelligence information by field observation, confidential information sources, or public records.	Core
Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases.	Core
Link or chart suspects to criminal organizations or events to determine activities and interrelationships.	Core
Prepare comprehensive written reports, presentations, maps, or charts, based on research, collection, and analysis of intelligence data.	Core
Study the assets of criminal suspects to determine the flow of money from or to targeted groups.	Core
Validate known intelligence with data from other sources.	Core
Collaborate with representatives from other government and intelligence organizations to share information or coordinate intelligence activities.	Core
Analyze intelligence data to identify patterns and trends in criminal activity.	Core
Conduct presentations of analytic findings.	Core
Identify gaps in information.	Core
Gather and evaluate information, using tools such as aerial photographs, radar equipment, or sensitive radio equipment.	Supplemental
Operate cameras, radios, or other surveillance equipment to intercept communications or document activities.	Supplemental
Prepare plans to intercept foreign communications transmissions.	Supplemental
Develop defense plans or tactics, using intelligence and other information.	Supplemental
Interview, interrogate, or interact with witnesses or crime suspects to collect human intelligence.	Supplemental
Study communication code languages or foreign languages to translate intelligence.	Supplemental

Anthropic, "What work can robots do?"2026-09

0.04/ 3· Robot exposure index

0 none3 unstructured settings

Scale, basis and source

Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time

Physical tasks among this occupation's O*NET 29.3 tasks

Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.

Source dataset

The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.

Tier of each physical task

Robot environment tiers (E0–E3)

E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site

Only tasks classified as physical are listed; other tasks have no tier in the source.

Task (O*NET 29.3)	Robot environment tier
Operate cameras, radios, or other surveillance equipment to intercept communications or document activities.	E3 unstructured settings

Employment outlook (BLS)

Values for the whole SOC 33-3021 group (Detectives and criminal investigators), not for this O*NET occupation alone.

Employment, 2025: 121K
Projected employment, 2035: 121K
Change (2025–35): +0.2%
Median annual wage, 2025: $93,790
Typical education needed for entry: High school diploma or equivalent

lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

Korea classification links (KSCO)

Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.

KSCO code	KSCO title	Relation	Status
41112	일반 경찰관 및 수사관	Related, not a match	confirmed

Relation and status definitions(kr-direct v1.1)

ILO occupational description

AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.

ISCO-08 3355Police Inspectors and Detectives

The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.

Police inspectors and detectives investigate facts and circumstances relating to crimes committed in order to identify suspected offenders and obtain information not readily available or apparent concerning establishments or the circumstances and behaviour of persons, mostly in order to prevent crimes.

Tasks

(a) establishing contacts and sources of information about crimes planned or committed, in order to prevent crimes or identify suspected offenders;
(b) obtaining and verifying evidence by examining crime and accident scenes for clues and physical evidence, interviewing witnesses and suspects and analysing documents and computer files;
(c) analysing evidence in order to solve crimes, identify criminal activity and gather information for court cases;
(d) establishing contacts and sources of information not readily available or apparent concerning establishments or the circumstances and behaviour of persons, usually with the aim of preventing a crime;
(e) making arrests;
(f) testifying in courts of law or reporting to superiors about circumstances and results of investigations.

Example occupations

Police detective · Police inquiry agent · Police inspector

Sources: ILO ISCO-08 — details: Credits

ESCO occupational vocabulary

Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.

intelligence officerESCO 2422.7Same scope
Intelligence officers develop and execute plans to gather information and intelligence. They investigate the lines of enquiry which would provide them with the necessary intelligence, and contact and interview people who may provide intelligence. They write reports on their results, and perform administrative duties to ensure records maintenance.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

ESCO reuse terms and the modification notice are in Credits.

France classification links (ROME)

AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.

ROME code	ROME title (French)	Relation
K1704	Officier / Officière de police	Related, not a match
K1708	Gardien / Gardienne de la paix	Related, not a match

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

Spain classification links (CNO-11)

AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.

CNO-11 code	CNO-11 title (Spanish)	Relation
2623	Especialistas de la Administración Pública	Related, not a match
3631	Técnicos de la policía nacional, autonómica y local	Related, not a match

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

Germany classification links (KldB)

AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.

KldB code	KldB title (German)	Relation
73163	Berufe im Verfassungsschutz - komplexe Spezialistentätigkeiten	Overlapping, not the sameprovisional
53223	Berufe im Kriminaldienst - komplexe Spezialistentätigkeiten	Related, not a matchprovisional
53224	Berufe im Kriminaldienst - hoch komplexe Tätigkeiten	Related, not a matchprovisional
73162	Berufe im Verfassungsschutz - fachlich ausgerichtete Tätigkeiten	Related, not a matchprovisional
73164	Berufe im Verfassungsschutz - hoch komplexe Tätigkeiten	Related, not a matchprovisional

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

Japan classification links (JSCO)

AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.

JSCO code	JSCO title (Japanese)	Relation
259	その他の一般事務従事者	Related, not a matchprovisional
441	警察官	Related, not a matchprovisional

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources