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AI Automation Index
Will AI Replace Logisticians?
Task-level automation exposure for Logisticians: 22 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
55%
weighted task index
22 of 22 tasks scored
Median Salary
$82,320 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
251,040 people hold this job — size, not growth
Projected 2025–35
+17.6%
employment change
26,600 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$54,380 – $107,250
Highest medians
Washington $107,250
District of Columbia $104,770
Maryland $102,700
Massachusetts $100,360
Hawaii $100,340
Lowest medians
Puerto Rico $54,380
Nebraska $65,370
Guam $65,440
Kentucky $68,420
Virgin Islands $68,790
State figures come from the 13-1081 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 55%
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 48%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 13%
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 13/100
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
22 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) 41%
10 tasks
Medium exposure (≥ 35%) 42%
9 tasks
Low exposure (below 35%) 16%
3 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
#8932 · Core · 25% automatable
Maintain and develop positive business relationships with a customer's key personnel involved in, or directly relevant to, a logistics activity.
interpersonal — Business relationships require human trust and presence
Develop business relationships.
#8933 · Core · 50% automatable
Develop an understanding of customers' needs and take actions to ensure that such needs are met.
interpersonal — Customer needs discovery needs live interaction
Gather customer or product information to determine customer needs. Collect data about customer needs.
#8950 · Core · 30% automatable
Manage subcontractor activities, reviewing proposals, developing performance specifications, and serving as liaisons between subcontractors and organizations.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#8943 · Core · 68% automatable
Develop proposals that include documentation for estimates.
text generation — Assemble proposal documents from provided content
Prepare proposal documents.
#8937 · Core · 70% automatable
Review logistics performance with customers against targets, benchmarks, and service agreements.
data analysis — Logistics process analysis; human owns operational calls
Analyze logistics processes.
#8934 · Core · 50% automatable
Direct availability and allocation of materials, supplies, and finished products.
decision support — Allocation decisions need human judgment and authority
Allocate physical resources within organizations.
#8949 · Core · 45% automatable
Redesign the movement of goods to maximize value and minimize costs.
decision support — Logistics coordination needs real-time human decisions
Coordinate logistics or other business operations.
#8942 · Core · 59% automatable
Explain proposed solutions to customers, management, or other interested parties through written proposals and oral presentations.
text generation — Assemble proposal documents from provided content
Prepare proposal documents. Present business-related information to audiences.
#8939 · Core · 30% automatable
Direct team activities, establishing task priorities, scheduling and tracking work assignments, providing guidance, and ensuring the availability of resources.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#20847 · Core · 45% automatable
Perform managerial duties such as hiring and training employees and overseeing facility needs or requirements.
decision support — AI plans projects; human owns execution and stakeholders
Manage operations, research, or logistics projects.
#8935 · Core · 45% automatable
Collaborate with other departments as necessary to meet customer requirements, to take advantage of sales opportunities or, in the case of shortages, to minimize negative impacts on a business.
interpersonal — Business operations coordination is live and relational
Confer with personnel to coordinate business operations.
#8940 · Core · 72% automatable
Report project plans, progress, and results.
text generation — AI drafts reports to managers; human sends
Report information to managers or other personnel.
#8936 · Core · 50% automatable
Protect and control proprietary materials.
decision support — Allocation decisions need human judgment and authority
Allocate physical resources within organizations.
#8948 · Core · 78% automatable
Stay informed of logistics technology advances and apply appropriate technology to improve logistics processes.
information retrieval — AI surfaces updates; human internalizes knowledge
Update professional knowledge.
#8938 · Core · 60% automatable
Develop and implement technical project management tools, such as plans, schedules, and responsibility and compliance matrices.
decision support — AI drafts system specs; business context human
Develop business or financial information systems.
#8945 · Core · 70% automatable
Provide project management services, including the provision and analysis of technical data.
data analysis — Explains techniques well; application needs human
Advise others on analytical techniques.
#8951 · Core · 55% automatable
Manage the logistical aspects of product life cycles, including coordination or provisioning of samples, and the minimization of obsolescence.
text generation — Business plans drafted; human owns assumptions and risk
Develop financial or business plans.
#8952 · Core · 80% automatable
Perform system lifecycle cost analysis and develop component studies.
data analysis — Analyzes structured financial data with tools
Analyze business or financial data.
#8944 · Core · 45% automatable
Plan, organize, and execute logistics support activities, such as maintenance planning, repair analysis, and test equipment recommendations.
decision support — Logistics coordination needs real-time human decisions
Coordinate logistics or other business operations.
#8946 · Core · 70% automatable
Participate in the assessment and review of design alternatives and design change proposal impacts.
data analysis — Strategy metrics analyzable; judgment on effectiveness human
Measure effectiveness of business strategies or practices.
#8941 · Core · 72% automatable
Direct and support the compilation and analysis of technical source data necessary for product development.
text generation — Track and draft regulatory documentation; human verifies
Coordinate regulatory documentation activities.
#8947 · Core · 80% automatable
Support the development of training materials and technical manuals.
text generation — Draft training materials; human tailors content
Develop training materials.
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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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