Intelligence Analysts
Overall Exposure
2025 vs 2023
Theoretical Exposure
62What AI could do
Observed Exposure
25What AI actually does
Automation Risk Score
26Displacement risk
3-Year Outlook (2025 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2023 | 30 | 50 | 15 | 18 | actual |
| 2024 | 36 | 56 | 20 | 22 | actual |
| 2025 | 42 | 62 | 25 | 26 | actual |
| 2026 | 47 | 67 | 30 | 29 | estimated |
| 2027 | 52 | 72 | 35 | 32 | estimated |
| 2028 | 56 | 76 | 39 | 35 | estimated |
Task Breakdown
About This Occupation
If you work as an Intelligence Analyst investigating cybercrime, AI is meaningfully reshaping your profession. With an automation risk of 26/100 and overall exposure at 42%, this role faces moderate transformation. The highest-impact area is monitoring dark web and open-source intelligence feeds at 65% automation. This is classified as an 'augment' role, where AI supercharges analytical capabilities rather than replacing investigative judgment. BLS projects +6% growth through 2034, with median annual wage of $88,600. AI and machine learning tools excel at sifting through massive datasets, detecting anomalies in network traffic, and correlating indicators of compromise, but the interpretation of complex threat landscapes, cross-agency coordination, and courtroom-ready evidence preparation remain firmly human domains. Analysts who master AI-powered OSINT and forensic tools will be in exceptionally high demand.
Frequently Asked Questions
With an automation risk score of 26%, Intelligence Analysts has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
The AI automation risk score for Intelligence Analysts is 26% (2025 data). Overall AI exposure is 42%, with 62% theoretical exposure and 25% observed exposure. The risk trend from 2023 to 2025 is +8 points.
The tasks with the highest automation potential for Intelligence Analysts are: Monitor dark web and open-source intelligence feeds (65%), Analyze digital evidence and network traffic patterns (60%), Compile intelligence reports and threat briefings (55%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects +6% employment change for Intelligence Analysts from 2024 to 2034. Combined with an overall AI exposure of 42%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Intelligence Analysts should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.
Recent AI Impact Changes
Mar 2026: New evergreen blog post: AI impact analysis for cybercrime investigators
[Source: aichanging.work]