AI and Automation Are Changing Logistics Jobs. Here’s What Employers Need to Hire For Next
Automation in logistics is nothing new. Warehouses and distribution centers have been adding robotics, automated storage systems, warehouse management technology and increasingly sophisticated software for years.
But the pace, and the capabilities of that technology, are changing quickly.
This week, reports surfaced about Amazon's early-stage "Project Tetromino," a concept for highly automated delivery stations that would use AI and robotics to tackle some of the more difficult manual work that remains in the last-mile process, including sorting and preparing packages for delivery. Amazon has also said it expects to more than double its fleet of robotic arms in 2026.
Amazon is hardly alone. FedEx, UPS, DHL and logistics operations across the country continue investing in robotics, artificial intelligence and other forms of automation.
For employers, however, the bigger question isn't simply what technology to adopt.
It's whether they have the people who can successfully lead an operation through it.
Automation Is Changing Jobs, Not Eliminating the Need for Talent
Much of the conversation surrounding AI and automation focuses on job displacement. In logistics, the reality is more complicated.
Automation can reduce the amount of manual work required for certain tasks, improve throughput and give companies better visibility into their operations. At the same time, it creates new demands for the people responsible for managing those operations.
The 2026 MHI Annual Industry Report identifies AI as a major disruptor across the supply chain, with organizations investing in AI, robotics and other technologies to improve resiliency, visibility and efficiency.
Yet technology doesn't manage a warehouse by itself.
Companies still need leaders who can manage labor, understand operational KPIs, control costs, solve problems, communicate across departments and keep teams productive. Increasingly, those same leaders also need to be comfortable working alongside automation, interpreting data and adapting processes as technology changes.
That combination can make the right candidate considerably harder to find.
The Logistics Leader of Tomorrow Looks Different
A strong Operations Manager or Distribution Manager has traditionally been evaluated on areas such as productivity, safety, inventory accuracy, labor management, cost control and team leadership.
Those fundamentals haven't disappeared.
What is changing is the environment in which those responsibilities exist.
A leader may now be responsible for a facility where employees work alongside robotics, software determines increasingly complex workflows, operational decisions rely on real-time data and new technology can significantly change established processes.
That means employers should be looking beyond whether a candidate has simply worked in a similar warehouse before.
Some of the most valuable qualities going forward will include:
Adaptability. Technology changes quickly. Employers need leaders who can adjust processes, learn new systems and help their teams navigate change without losing operational performance.
Data-driven decision making. Managers don't need to be data scientists, but they should be comfortable using operational data to identify problems, evaluate performance and make decisions.
Process improvement. Automation doesn't fix an inefficient operation automatically. Strong leaders need to understand the operation well enough to recognize where technology can improve a process and where the process itself needs to change.
Change management. Introducing new technology can create uncertainty among employees. Leaders need to communicate why changes are happening, establish expectations and earn buy-in from the people actually using the technology.
People leadership. Ironically, the more technology enters the operation, the more important this may become. Someone still has to coach employees, resolve conflict, develop supervisors, manage performance and create accountability.
Don't Make Technology Experience Too Narrow
There is another hiring challenge employers should be careful about.
As new technology enters logistics operations, job descriptions can quickly become overloaded with highly specific system requirements.
Experience with a particular WMS, automation platform or robotics environment can certainly be valuable. But requiring an exact technology match can also eliminate strong candidates who have already demonstrated something potentially more important: the ability to learn.
A logistics leader who successfully implemented one system, helped a team through an automation project or adapted to a major operational change may be perfectly capable of learning another platform.
Employers should evaluate both what candidates already know and how they have responded when they had to learn something new.
Questions around technology implementation, process changes and employee adoption can often reveal far more than simply asking whether someone has used a particular system.
The Workforce Has to Evolve With the Technology
Some major logistics employers are already approaching AI as a workforce-development issue, not simply a technology investment.
UPS, for example, has discussed using AI to handle or accelerate certain manual processes while simultaneously investing in employee development so its workforce can become more comfortable using AI and data analytics as roles evolve.
That distinction matters.
Companies can invest millions in automation, but the return on that investment still depends heavily on whether employees understand how to use it and whether leaders know how to integrate it into the operation.
This creates opportunities internally through training and development, but it also changes what companies may need to prioritize when hiring externally.
The strongest candidate isn't necessarily the person with the longest list of systems on their resume. It may be the leader who understands operations deeply, embraces technology instead of resisting it and knows how to bring a team along through change.
Technology Isn't Solving the Supply Chain Talent Problem
If anything, technology may make certain talent searches more complicated.
Labor availability remains a major concern across warehousing and supply chain operations. MHI has continued to highlight hiring, training and retention as significant challenges for warehouse employers even as companies invest more heavily in automation.
Now employers aren't simply competing for experienced logistics professionals.
They're competing for professionals who combine traditional operational expertise with adaptability, technological comfort and strong leadership skills.
Those candidates may already be successfully running an operation somewhere else. They may not be actively applying to job postings, and their resumes may not contain every technology keyword an employer initially thinks it needs.
Finding them requires looking beyond a checklist.
Hiring for What Comes Next
AI and automation will continue changing supply chain and logistics operations. Exactly what individual facilities look like five or ten years from now is harder to predict.
That makes hiring for adaptability especially important.
Companies still need people who understand the fundamentals: labor, cost, service, safety, productivity and people. But increasingly, they also need leaders capable of operating in an environment where the technology surrounding those fundamentals continues to evolve.
The companies that get the most from automation won't necessarily be the ones that adopt every new technology first.
They'll be the ones that have the right people leading it.
Looking for experienced supply chain and logistics talent?
Elevair Search Partners helps employers identify and recruit experienced professionals across supply chain and logistics, including candidates who may not be actively searching for their next opportunity.