# Intelligence Analysts

> 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.

- **SOC code:** 33-3021.06
- **Canonical URL:** https://singulariki.com/roles/role-33-3021-06
- **Also known as:** Crime Analyst (Criminal Analyst), Crime Intelligence Analyst (Criminal Intelligence Analyst), Intel Analyst (Intelligence Analyst), Intel Research Specialist (Intelligence Research Specialist), Anti-Terrorist Analyst, Crime Research Specialist (Criminal Research Specialist), Crime and Intelligence Analyst (Criminal and Intelligence Analyst), Investigative Intel Analysts (Investigative Intelligence Analysts)
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Validate known intelligence with data from other sources.
- Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases.
- Evaluate records of communications, such as telephone calls, to plot activity and determine the size and location of criminal groups and members.
- Gather intelligence information by field observation, confidential information sources, or public records.
- Analyze intelligence data to identify patterns and trends in criminal activity.
- Prepare comprehensive written reports, presentations, maps, or charts, based on research, collection, and analysis of intelligence data.
- Collaborate with representatives from other government and intelligence organizations to share information or coordinate intelligence activities.
- Link or chart suspects to criminal organizations or events to determine activities and interrelationships.
- Establish criminal profiles to aid in connecting criminal organizations with their members.
- Identify gaps in information.
- Design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools.
- Predict future gang, organized crime, or terrorist activity, using analyses of intelligence data.

**Emerging tasks** (O*NET):
- Make recommendations for investigations and subpoenas.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Inductive Reasoning _(ability)_
- Law and Government _(knowledge)_
- Active Listening _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Problem Sensitivity _(ability)_
- Writing _(essential_skill)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Oral Expression _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Active Learning _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Amazon Web Services AWS software _(hot technology)_
- Apache Hadoop _(hot technology)_
- Apache Hive _(hot technology)_
- Apache Kafka _(hot technology)_
- Apache Spark _(hot technology)_
- C++ _(hot technology)_
- Django _(hot technology)_
- ESRI ArcGIS software _(hot technology)_
- Facebook _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 64th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 54th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 90th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 48th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 40th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -0.7% growth (Declining); 7.8k annual openings; 117.9k → 117.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $93,580; 110,790 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 42% automation, 33% augmentation (usage-weighted).
- **Autonomy median:** 3.5 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools. _(0.7% of measured AI use; directive)_
- Prepare comprehensive written reports, presentations, maps, or charts based on research, collection, and analysis of intelligence data. _(0.5% of measured AI use; directive)_
- Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases. _(0.5% of measured AI use; directive)_
- Gather intelligence information by field observation, confidential information sources, or public records. _(0.4% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me design, use, or maintain databases and software applications, such as geographic information systems (GIS) mapping and artificial intelligence tools.
- Help me prepare comprehensive written reports, presentations, maps, or charts based on research, collection, and analysis of intelligence data.
- Help me gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases.
- Help me gather intelligence information by field observation, confidential information sources, or public records.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-33-3021-06_