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AI Automation Index
Will AI Replace Business Intelligence Analysts?
Task-level automation exposure for Business Intelligence Analysts: 17 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
73%
weighted task index
17 of 17 tasks scored
Median Salary
$120,230 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
262,440 people hold this job — size, not growth
Projected 2025–35
+34.6%
employment change
24,800 openings a year · BLS line item
Pay by state
BLS OEWS publishes 50 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$69,490 – $163,350
Highest medians
Washington $163,350
California $141,590
Maryland $136,370
New Jersey $135,280
Massachusetts $131,750
Lowest medians
Mississippi $69,490
Louisiana $78,760
Puerto Rico $80,350
North Dakota $81,900
Alaska $84,110
State figures come from the 15-2051 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 73%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 51%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 18%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 14/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 94%
16 tasks
Medium exposure (≥ 35%) 6%
1 tasks
Low exposure (below 35%) 0%
0 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#16150 · Core · 75% automatable
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
data analysis — Analytical reports drafted; human validates analysis
Prepare analytical reports.
#16139 · Core · 85% automatable
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
data analysis — Database updates routine and automatable
Update computer database information.
#16140 · Core · 72% automatable
Manage timely flow of business intelligence information to users.
text generation — AI drafts communication procedures; human approves
Develop information communication procedures.
#16134 · Core · 70% automatable
Provide technical support for existing reports, dashboards, or other tools.
decision support — Software support is largely diagnosable with human review
Provide technical support for software maintenance or use.
#16141 · Core · 75% automatable
Identify and analyze industry or geographic trends with business strategy implications.
data analysis — Customer data analysis; human frames questions
Analyze market or customer related data.
#16142 · Core · 75% automatable
Document specifications for business intelligence or information technology reports, dashboards, or other outputs.
text generation — Draft operational procedure documentation
Develop information communication procedures. Document operational procedures.
#16144 · Core · 75% automatable
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.
text generation — Database creation largely automatable; human reviews
Create databases to store electronic data.
#16146 · Core · 75% automatable
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.
data analysis — Customer data analysis; human frames questions
Analyze market or customer related data.
#16143 · Core · 72% automatable
Disseminate information regarding tools, reports, or metadata enhancements.
text generation — AI drafts reports to managers; human sends
Report information to managers or other personnel.
#16145 · Core · 50% automatable
Conduct or coordinate tests to ensure that intelligence is consistent with defined needs.
data analysis — Analysis aided; primary customer data collection human
Collect data about customer needs.
#16149 · Core · 75% automatable
Synthesize current business intelligence or trend data to support recommendations for action.
data analysis — Customer data analysis; human frames questions
Analyze market or customer related data.
#16148 · Core · 75% automatable
Analyze competitive market strategies through analysis of related product, market, or share trends.
data analysis — Customer data analysis; human frames questions
Analyze market or customer related data.
#16136 · Core · 75% automatable
Identify or monitor current and potential customers, using business intelligence tools.
data analysis — Customer data analysis; human frames questions
Analyze market or customer related data.
#16138 · Core · 80% automatable
Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends.
information retrieval — AI scans trend sources; human weighs relevance
Update knowledge about emerging industry or technology trends.
#16135 · Core · 60% automatable
Maintain library of model documents, templates, or other reusable knowledge assets.
data analysis — AI models comms systems; engineer verifies performance
Develop models of information or communications systems.
#16137 · Core · 82% automatable
Create or review technical design documentation to ensure the accurate development of reporting solutions.
text generation — Draft technical specs from given requirements
Document technical specifications or requirements.
#16147 · Core · 75% automatable
Analyze technology trends to identify markets for future product development or to improve sales of existing products.
data analysis — Customer data analysis; human frames questions
Analyze market or customer related data.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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