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Business Intelligence Analysts

Business & Financial Operationsvery highmixed
BLS 2024-34: +36%
Median Wage: $103,500
Employment: 124K

Overall Exposure

68

2025 vs 2023

Theoretical Exposure

90

What AI could do

Observed Exposure

48

What AI actually does

Automation Risk Score

58

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

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

Overall Exposure

68โ†’81
+13

2025 โ†’ 2028 (estimated)

Theoretical Exposure

90โ†’95
+5

2025 โ†’ 2028 (estimated)

Observed Exposure

48โ†’66
+18

2025 โ†’ 2028 (estimated)

Automation Risk

58โ†’71
+13

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202462884052actual
202568904858estimated
202673925563estimated
202777946167estimated
202881956671estimated

Task Breakdown

Build dashboards and data visualizations
72%ฮฒ 1
Write SQL queries and extract data insights
78%ฮฒ 1
Present analytical findings to stakeholders
35%ฮฒ 0.5

About This Occupation

If you work as a Business Intelligence Analyst, AI is significantly reshaping your role. With an automation risk of 58/100 and overall exposure at 68%, this role faces very high transformation. BLS projects +36% growth through 2034.

Frequently Asked Questions

With an automation risk score of 58%, Business 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 Business Intelligence Analysts is 58% (2025 data). Overall AI exposure is 68%, with 90% theoretical exposure and 48% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Business Intelligence Analysts are: Write SQL queries and extract data insights (78%), Build dashboards and data visualizations (72%), Present analytical findings to stakeholders (35%). 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 +36% employment change for Business Intelligence Analysts from 2024 to 2034. Combined with an overall AI exposure of 68%, 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 Business 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.