The logistics industry has spent the past few years talking about robots, warehouse automation and artificial intelligence. This year, that talk has turned into real money.

But the way companies are spending it looks different from what it did even two years ago. Instead of chasing fully automated “lights-out” warehouses, most operators are building hybrid systems that mix people, robots and software in ways they can adjust as conditions change.

By way of context, researchers at GEP, which offers AI native and supply chain solutions, said in a recent report that overall investments in logistics are expected to rise this year, shaped by a mix of steady underlying conditions and select global uncertainties. “While overall stability continues across core markets, the lingering effects of trade disruptions, geopolitical tensions and economic nationalism will keep global supply chains under pressure,” the report stated. “These forces are prompting companies to reassess their logistics networks and sourcing strategies.”

The report’s authors said technology adoption is set to play a defining role. Artificial intelligence, predictive analytics and automation are reshaping logistics operations, enabling both shippers and carriers to improve efficiency, visibility and service quality, they said, adding that companies that successfully integrate these technologies into planning, routing and execution will stand apart.

The numbers show the scale of this shift.

The global warehouse automation market is now valued at nearly $30 billion and is expected to roughly double by 2030. Surveys of supply chain executives find that more than half are increasing their technology budgets this year, and nearly half said they plan to buy new automation equipment within the next three years. Big companies are putting serious capital behind these plans. For example, Walmart has committed $1 billion toward automation aimed at expanding micro-fulfillment centers inside existing stores, while the shipping and logistics firm DSV has set aside $50 million to add mobile robots across its European facilities.

What’s changed is not just how much money is going into automation, but where it’s going and how it’s being justified.

A few years ago, automation projects were often pitched around a single big idea: replace manual labor with machines. Today, companies are more selective. They’re looking closely at which tasks cause the most delays, the most overtime or the most staffing headaches, and they’re automating those specific pain points rather than trying to overhaul an entire operation at once.

Order picking and loading trucks are two areas that have resisted full automation for years, largely because they involve handling oddly shaped items or making judgment calls that are hard for machines. Companies are now chipping away at those tasks too, but usually through partial solutions rather than complete overhauls. This cautious, targeted approach reflects a broader lesson the industry has learned: automation works best when it solves a specific, well-understood problem, not when it’s deployed everywhere at once just because the technology exists.

One of the biggest changes in how companies pay for automation is the rise of what’s known as Robotics-as-a-Service, or RaaS. Instead of spending millions of dollars upfront to buy robots and installing them permanently, companies can now lease robotic systems on a subscription basis, paying monthly or even per task completed. This has opened the door for mid-sized warehouse operators that previously couldn’t afford large automation projects.

Industry surveys suggest that a large majority of logistics companies plan to adopt this kind of subscription-based automation in the near future, since it lowers financial risk and lets companies scale equipment up or down based on demand, such as during the holiday shopping season.

Mobile robots that move goods around warehouse floors have also become one of the most visible parts of this shift. These machines are prized because they don’t require companies to tear up floors or rebuild shelving to install them. They can be dropped into an existing warehouse and start working within days.

But the earlier buzz about robots taking over entire warehouses has cooled into something more practical. Companies are now combining mobile robots with older, fixed systems such as automated storage racks, using each type of technology where it works best rather than betting everything on one approach.

As Sourcing Journal has been reporting, artificial intelligence is threading through nearly all of these investments, though rarely as a standalone product. It shows up in software that decides where to store items in a warehouse based on past order patterns, in systems that assign tasks to robots based on battery life and traffic congestion, and in tools that plan delivery routes around traffic and legal driving-hour limits.

Some analysts describe a coming wave of agentic AI systems, which wouldn’t just flag a problem, like a delayed shipment, but would investigate the cause, adjust routes or inventory on their own and prepare a customer update before a human even reviews it. That kind of autonomy is still more promise than widespread practice, but it captures where the industry believes it’s heading.

None of this is happening without friction.

Workers in many warehouses remain uneasy about job security as automation expands, and companies are having to invest in training programs alongside the machines themselves. High real estate costs and the sheer complexity of connecting new robotic systems with older warehouse software also slow things down.

And with looming questions about tariffs, labor markets, and shifting political conditions, many companies are treating automation as a long-term hedge against uncertainty, not a one-time upgrade.