Community Sentiment
Do you agree?
Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Logistics Engineers?
Task-level automation exposure for Logistics Engineers: 30 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
66%
weighted task index
30 of 30 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 66%
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 82%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 9%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 3%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 4/100
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
30 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) 86%
26 tasks
Medium exposure (≥ 35%) 10%
3 tasks
Low exposure (below 35%) 4%
1 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 →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- Revision 05/2025 · AI/SME
Evaluate the use of technologies, such as global positioning systems (GPS), radio-frequency identification (RFID), route navigation software, drone or robotic technology, or satellite linkup systems, to improve transportation efficiency.
Replaced: Evaluate the use of technologies, such as global positioning systems (GPS), radio-frequency identification (RFID), route navigation software, or satellite linkup systems, to improve transportation efficiency.
Constituent Tasks
#19997 · Core · 72% automatable
Identify cost-reduction or process-improvement logistic opportunities.
data analysis — AI analyzes operations to flag efficiency gains
Identify opportunities to improve operational efficiency.
#15876 · Core · 70% automatable
Analyze or interpret logistics data involving customer service, forecasting, procurement, manufacturing, inventory, transportation, or warehousing.
data analysis — Logistics process analysis; human owns operational calls
Analyze logistics processes.
#19999 · Core · 55% automatable
Prepare logistic strategies or conceptual designs for production facilities.
decision support — Strategy drafts aided; executives own market judgment
Develop business or market strategies.
#15875 · Core · 70% automatable
Conduct logistics studies or analyses, such as time studies, zero-base analyses, rate analyses, network analyses, flow-path analyses, or supply chain analyses.
data analysis — Logistics process analysis; human owns operational calls
Analyze logistics processes.
#19996 · Core · 60% automatable
Develop logistic metrics, internal analysis tools, or key performance indicators for business units.
decision support — AI drafts system specs; business context human
Develop business or financial information systems.
#15870 · Core · 64% automatable
Identify or develop business rules or standard operating procedures to streamline operating processes.
data analysis — AI analyzes operations to flag efficiency gains
Identify opportunities to improve operational efficiency. Establish organizational guidelines or policies.
#15863 · Core · 56% automatable
Interview key staff or tour facilities to identify efficiency-improvement, cost-reduction, or service-delivery opportunities.
data analysis — AI analyzes operations to flag efficiency gains
Identify opportunities to improve operational efficiency. Analyze jobs using observation, survey, or interview techniques.
#15880 · Core · 72% automatable
Apply logistics modeling techniques to address issues, such as operational process improvement or facility design or layout.
data analysis — Builds and runs models; human validates assumptions
Apply mathematical models of financial or business conditions.
#15865 · Core · 55% automatable
Design plant distribution centers.
decision support — Layout planning aided; human owns design
Plan facility layouts or designs.
#15867 · Core · 70% automatable
Review contractual commitments, customer specifications, or related information to determine logistics or support requirements.
data analysis — Logistics process analysis; human owns operational calls
Analyze logistics processes.
#19995 · Core · 70% automatable
Evaluate the use of inventory tracking technology, Web-based warehousing software, or intelligent conveyor systems to maximize plant or distribution center efficiency.
data analysis — Logistics process analysis; human owns operational calls
Analyze logistics processes.
#15861 · Core · 62% automatable
Propose logistics solutions for customers.
decision support — Standard logistics advice; operational context needs human
Advise others on logistics topics.
#15872 · Core · 78% automatable
Develop or maintain cost estimates, forecasts, or cost models.
data analysis — Cost estimation from given inputs
Estimate costs of goods or services.
#15868 · Core · 85% automatable
Prepare or validate documentation on automated logistics or maintenance-data reporting or management information systems.
data analysis — Enter and maintain data in information systems
Maintain data in information systems or databases.
#20006 · Core · 70% automatable
Provide logistical facility or capacity planning analyses for distribution or transportation functions.
data analysis — Logistics process analysis; human owns operational calls
Analyze logistics processes.
#15873 · Core · 75% automatable
Determine feasibility of designing new facilities or modifying existing facilities, based on factors such as cost, available space, schedule, technical requirements, or ergonomics.
data analysis — Cost-effectiveness modeling from given data
Assess the cost effectiveness of products, projects, or services.
#20000 · Core · 65% automatable
Design comprehensive supply chains that minimize environmental impacts or costs.
data analysis — Logistics environmental evaluation; human validates
Evaluate logistics methods to reduce environmental impact.
#20003 · Core · 72% automatable
Create models or scenarios to predict the impact of changing circumstances, such as fuel costs, road pricing, energy taxes, or carbon emissions legislation.
data analysis — Builds and runs models; human validates assumptions
Apply mathematical models of financial or business conditions.
#15874 · Core · 70% automatable
Determine logistics support requirements, such as facility details, staffing needs, or safety or maintenance plans.
data analysis — Logistics process analysis; human owns operational calls
Analyze logistics processes.
#15866 · Core · 60% automatable
Develop specifications for equipment, tools, facility layouts, or material-handling systems.
decision support — Technical specs drafted; human verifies
Develop technical specifications for systems or equipment.
#15877 · Core · 62% automatable
Provide logistics technology or information for effective and efficient support of product, equipment, or system manufacturing or service.
decision support — Standard logistics advice; operational context needs human
Advise others on logistics topics.
#15879 · Core · 70% automatable
Evaluate effectiveness of current or future logistical processes.
data analysis — Logistics process analysis; human owns operational calls
Analyze logistics processes.
#15864 · Core · 30% automatable
Direct the work of logistics analysts.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#19998 · Core · 65% automatable
Revision
Evaluate the use of technologies, such as global positioning systems (GPS), radio-frequency identification (RFID), route navigation software, or satellite linkup systems, to improve transportation efficiency.
data analysis — Logistics environmental evaluation; human validates
Evaluate logistics methods to reduce environmental impact.
#20005 · Core · 70% automatable
Determine requirements for compliance with environmental certification standards.
information retrieval — Regulation-to-compliance mapping; human verifies
Analyze environmental regulations to ensure organizational compliance.
#20007 · Core · 70% automatable
Develop or document procedures to minimize or mitigate carbon output resulting from the movement of materials or products.
text generation — Standard financial documents drafted from data
Develop sustainable business strategies or practices. Prepare financial documents.
#20002 · Core · 65% automatable
Conduct environmental audits for logistics activities, such as storage, distribution, or transportation.
data analysis — Logistics environmental evaluation; human validates
Evaluate logistics methods to reduce environmental impact.
#20001 · Core · 70% automatable
Develop or document reverse logistics management processes to ensure maximal efficiency of product recycling, reuse, or final disposal.
text generation — Standard financial documents drafted from data
Develop sustainable business strategies or practices. Prepare financial documents.
#20004 · Core · 65% automatable
Review global, national, or regional transportation or logistics reports for ways to improve efficiency or minimize the environmental impact of logistics activities.
data analysis — Logistics environmental evaluation; human validates
Evaluate logistics methods to reduce environmental impact.
#20008 · Supplemental · 65% automatable
Assess the environmental impact or energy efficiency of logistics activities, using carbon mitigation software.
data analysis — Logistics environmental evaluation; human validates
Evaluate logistics methods to reduce environmental impact.
Embed this calculator on your site ↓
Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.
<div class="giniloh-calculator-embed" data-calculator="logistics-engineers"></div>
<script src="https://giniloh.com/embed.js" async></script> Method
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
See the full method →Related Article
Best AI Proof Jobs in a Changing Market
Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.
Read Article ->