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Intelligence Analysts

Protective Servicehighaugment
BLS 2024-34: +3%
Median Wage: $86,740
Employment: 43K

Overall Exposure

57+15

2025 vs 2023

Theoretical Exposure

75

What AI could do

Observed Exposure

37

What AI actually does

Automation Risk Score

40

Displacement risk

3-Year Outlook (2025 → 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

5772
+15

2025 → 2028 (estimated)

Theoretical Exposure

7588
+13

2025 → 2028 (estimated)

Observed Exposure

3752
+15

2025 → 2028 (estimated)

Automation Risk

4053
+13

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202342602228actual
202450683034actual
202557753740actual
202663804345estimated
202768844849estimated
202872885253estimated

Task Breakdown

Analyze data from surveillance and open-source intelligence platforms
72%β 1
Prepare intelligence briefings and threat assessment reports
65%β 1
Identify patterns and connections across disparate data sources
68%β 1
Coordinate with field agents and partner agencies
20%β 0
Evaluate credibility and reliability of intelligence sources
35%β 0.5

About This Occupation

If you work as an Intelligence Analyst, AI is reshaping your profession. With an automation risk of 40/100 and overall exposure at 57%, this role faces high transformation. The highest-impact area is analyzing surveillance and open-source intelligence data at 72% automation. This is classified as an 'augment' role — AI enhances analytical capabilities but human judgment remains critical for source evaluation and strategic assessment. BLS projects +3% growth through 2034.

Frequently Asked Questions

With an automation risk score of 40%, Intelligence Analysts faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.

The AI automation risk score for Intelligence Analysts is 40% (2025 data). Overall AI exposure is 57%, with 75% theoretical exposure and 37% observed exposure. The risk trend from 2023 to 2025 is +12 points.

The tasks with the highest automation potential for Intelligence Analysts are: Analyze data from surveillance and open-source intelligence platforms (72%), Identify patterns and connections across disparate data sources (68%), Prepare intelligence briefings and threat assessment reports (65%). 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 +3% employment change for Intelligence Analysts from 2024 to 2034. Combined with an overall AI exposure of 57%, 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.