Will AI replace logistics engineers?

Some tasks are already handled by AI or machines; the rest still needs a person. About 2h 8m of an 8-hour shift goes to tasks that AI or robots largely take over. The other 5h 52m (73%) stays with people. Separately, BLS expects about 17.6% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 4 of 30 tasks, about 2h 8m of a typical shift. The biggest ones:

• Analyze or interpret logistics data involving customer service, forecasting, procurement, manufacturing, inventory, transportation, or warehousing. (1h 4m a shift, AI mostly does it alone)
• Propose logistics solutions for customers. (32m a shift, AI mostly does it alone)
• Develop or maintain cost estimates, forecasts, or cost models. (19m a shift, AI mostly does it alone)
• Provide logistics technology or information for effective and efficient support of product, equipment, or system manufacturing or service. (13m a shift, AI mostly does it alone)

5h 52m of a typical shift, or 73%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Conduct logistics studies or analyses, such as time studies, zero-base analyses, rate analyses, network analyses, flow-path analyses, or supply chain analyses. (58m a shift)
• Identify cost-reduction or process-improvement logistic opportunities. (38m a shift)
• Develop logistic metrics, internal analysis tools, or key performance indicators for business units. (32m a shift)
• Evaluate effectiveness of current or future logistical processes. (26m a shift)
• Apply logistics modeling techniques to address issues, such as operational process improvement or facility design or layout. (19m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 57% say dealing with the public is very or extremely important
• 57% talk face to face with others every day

For the 4 tasks in this job where AI shows up and timing data exists, a typical request takes about 3h 56m for a person alone and about 29m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Analyze or interpret logistics data involving customer service, forecasting, procurement, manufacturing, inventory, transportation, or warehousing (about 4h 28m alone, 27m with AI)
• Propose logistics solutions for customers (about 4h 41m alone, 52m with AI)
• Develop or maintain cost estimates, forecasts, or cost models (about 3h 24m alone, 30m with AI)

On Indeed, job postings in the Logistic Support sector are at 119% of their February 2020 level (all U.S. postings: 104%), up 5.1% from a year earlier, as of Oct 9, 2026. BLS separately expects about 27,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $82,320 a year ($39.58 an hour), 61% above the median for all U.S. jobs ($50,980). Most people in this job earn between $50,890 and $133,160 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 17.6% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 300,000 jobs in 2035. It expects about 27,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 251,000 people in the U.S., roughly 0.16% of all workers (BLS, May 2025). That makes it the 150th largest of the 796 jobs on this site. BLS expects about 300,000 in 2035.

The most common requirement is a bachelor's degree: about 74% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Systems Analysis, Operations Analysis, Systems Evaluation, Mathematics
• Get strong at the parts of the job that stay with people (listed above), which take 5h 52m of a typical shift
• Tools employers list: SAP software, Microsoft PowerPoint, Microsoft Outlook, Microsoft Office software, Microsoft Excel
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Supply Chain Managers (0m touched, $107k median pay)
• Logistics Analysts (1h 3m touched, $82k median pay)
• Manufacturing Engineers (33m touched, $102k median pay)
• Logisticians (46m touched, $82k median pay)

Each task carries its own evidence label. For this job: 4 observed in real AI use, 26 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.