As of August 2026, Logistics Coordinator has an AI-exposure score of 66/100 (High exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: AI-Safe Careers curated modeled estimate. This curated role has no matched O*NET SOC or empirical occupation signal. Treat it as a lower-confidence directional estimate. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Logistics Coordinator

66/100
High exposure
LowModerateElevatedHighVery High

More exposed than 82% of the roles we track. Median pay ~US$50,000.

Pay & demand figures are US medians (in USD; curated approximation (not refreshed from BLS; 2022–32 framing)) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Logistics Coordinator?

No exposure score can predict whether AI will replace this role. The 66/100 score means our current model estimates high task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role's High score and automation-heavy task mix point in the same direction as the study's highest-exposure automation cohort. The measures are not identical, so the study result is context rather than a direct forecast for this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 closest reviewed source

Expedite and route movement of incoming and outgoing cargo and freight shipments in airline, train, and trucking terminals and shipping docks. Take orders from customers and arrange pickup of freight and cargo for delivery to loading platform. Prepare and examine bills of lading to determine shipping charges and tariffs.

Common titles
Air Export SpecialistDrop Shipment ClerkLogistics CoordinatorLogistics Service RepresentativeFreight BrokerIntermodal Dispatcher
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
CoordinationLogistics systemsTransportationGeographyPublic Safety and SecurityEnglish Language
Work context
Frequent contact with othersDecision latitudeIndoor controlled settingConsequence of error

Source: O*NET 29.1 closest reviewed source - Cargo and Freight Agents, SOC 43-5011.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

Know someone whose job is changing? Share your score.
Post Share Score card
Every share sends them to their own free scan.

Logistics Coordinator tasks, by AI exposure

Logistics Coordinator appears in planning, management, and freight-execution occupations. This profile's shipment scheduling, tracking, carriers, and disruption handling aligns with O*NET Cargo and Freight Agents. The reviewed subset covers transport, documents, status, rates, records, tracing, insurance, customs, claims, and receiving while excluding warehouse packing and loading labor. How we map tasks →

Automatable
  • Schedule shipments and routes
  • Track deliveries and exceptions
  • Enter shipping information into a computer by hand or by a hand-held scanner that reads bar codes on goods. O*NET: Cargo and Freight Agents
12 more automatable tasks locked in the report.
Augmentable
  • Coordinate carriers
  • Resolve disruptions
Durable

No durable tasks identified for this role - its individually-assessed tasks split 88% automatable / 12% augmentable.

We analyzed all 17 Logistics Coordinator tasks - 15 automatable and 2 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Operations Analyst
82% skills overlap; 7 points lower - lower exposure; Elevated band; ~US$78,750
View path
59
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Schedule shipments and routes

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
Unlock the report to check this task

Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

AI was the most-cited reason for U.S. layoffs through mid-2026 - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

Personalize it: paste your résumé & LinkedIn (optional) - your rewrite is included in the report
Used only to generate your report. You can delete it anytime via delete my data.
Optional preference: adds a clearly labeled tradeoff card. It never reorders or relabels the evidence-backed adjacent roles.
14-day money-back guarantee One-time · kept forever · no subscription

Generation starts after checkout; reports are typically ready within a few minutes.

Get ahead: a rising skill on this path is Coordination. Explore courses →
Some course links are affiliate links - we may earn a small commission at no extra cost to you.
Unlock my report - $29
Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.