Fleets will come under growing pressure to integrate high-integrity data and AI into their core operations in the next year.

Fleets that use AI-driven optimisation will be far better positioned to absorb rising costs and remain competitive

The forecast comes from global connected vehicles specialist Geotab, which said that freight, logistics and service fleets will need to find productivity gains and remain competitive in an economy defined by tight margins.

The company has identified four defining trends for 2026.

AI will run operations, not just conversations: AI will move from chatbots to the centre of the business. It will schedule work, manage tasks, and help teams move faster. This shift will free workers from manual coordination and speed up decision making.

The freight economy will feel hot and cold at the same time: Haulage will stay essential, even in a slower economy. But tight margins will push fleets to do more with less and operators that use AI and data insights will likely stay more competitive and find new savings.

Autonomous driving is about to follow the same curve as AI: After years of testing, adoption will suddenly speed up. The technology is seemingly working. The economics are becoming clear. When costs drop and performance proves reliable, the shift will come quickly.

Data-rich companies will power enterprise AI: AI needs accurate, real-world data to work well. Companies that effectively process data will be essential to powering the next generation of enterprise AI.

Geotab also warned that key announcements in last week’s Autumn Budget add further pressure to fleet economics. Measures such as the new Electric Vehicle Excise Duty (eVED) and the planned return of fuel duty rises will increase operating costs for both electric and ICE vehicles over the coming years.

With margins already tight across freight, logistics and service fleets, this year’s Budget reinforces the need for operators to zero in on efficiency. This makes high-quality data even more critical: fleets that can accurately measure performance, identify waste and apply AI-driven optimisation will be far better positioned to absorb rising costs and remain competitive.

“Treating AI as an operational partner, powered by reliable data, is what will separate the leaders from the laggards in an increasingly complex environment,” said Neil Cawse, founder and CEO of Geotab.

Cawse also called on fleets to “navigate the shifts”.

“Change and disruption never come without friction. It’s the organisations that push through that discomfort, embrace new technology and move with conviction that will come out ahead,” he added.

Geotab’s forecast underscores that the real competitive advantage will belong to those who treat these technologies as an operational partner, rather than a separate tool. For fleets, this means adapting swiftly to modernisation, using data to drive efficiency and make smarter decisions, even as market pressures intensify.

“High-integrity data will be the essential ingredient, providing the visibility and validation needed to adopt next-generation technologies,” added Cawse.