Logistics Analysts
Transportation & Material MovingAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.157
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.46
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 24% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 72 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Develop an understanding of customers' needs and take actions to ensure that such needs are met.13-1081 | 0.040028.6 | 0.060040.0 |
Explain proposed solutions to customers, management, or other interested parties through written proposals and oral presentations.13-1081 | 0.020014.3 | 0.020013.3 |
Report project plans, progress, and results.13-1081 | 0.01007.1 | 0.030020.0 |
Support the development of training materials and technical manuals.13-1081 | 0.01007.1 | 0.01006.7 |
Develop or maintain cost estimates, forecasts, or cost models.13-1081 | 0.01007.1 | 0.01006.7 |
Enter logistics-related data into databases.13-1081 | 0.01007.1 | 0.01006.7 |
Develop proposals that include documentation for estimates.13-1081 | 0.01007.1 | 0.00000.0 |
Propose logistics solutions for customers.13-1081 | 0.01007.1 | 0.00000.0 |
Develop specifications for equipment, tools, facility layouts, or material-handling systems.13-1081 | 0.01007.1 | 0.00000.0 |
Compute reporting metrics, such as on-time delivery rates, order fulfillment rates, or inventory turns.13-1081 | 0.01007.1 | 0.00000.0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Enter logistics-related data into databases.O*NET Task ID 15883 | 1.0 |
Write or revise standard operating procedures for logistics processes.O*NET Task ID 15891 | 1.0 |
Maintain logistics records in accordance with corporate policies.O*NET Task ID 15899 | 1.0 |
Enter carbon-output or environmental-impact data into spreadsheets or environmental management or auditing software programs.O*NET Task ID 20014 | 1.0 |
Identify opportunities for inventory reductions.O*NET Task ID 15881 | 0.5 |
Monitor industry standards, trends, or practices to identify developments in logistics planning or execution.O*NET Task ID 15882 | 0.5 |
Develop or maintain payment systems to ensure accuracy of vendor payments.O*NET Task ID 15884 | 0.5 |
Determine packaging requirements.O*NET Task ID 15885 | 0.5 |
Develop or maintain freight rate databases for use by supply chain departments to determine the most economical modes of transportation.O*NET Task ID 15886 | 0.5 |
Contact potential vendors to determine material availability.O*NET Task ID 15887 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page