Freight AI Augments Brokers, Doesn't Replace Them—Here's Why

Will Bewley, CEO of Woflow, challenges the narrative that artificial intelligence will eliminate freight brokerage and dispatch jobs. Instead, he argues that AI's real value in logistics lies in automating low-value manual tasks—such as load builds, email responses, and TMS data entry—to redirect worker time toward higher-value activities like carrier relationship management and business development. This productivity multiplier effect, rather than headcount reduction, is where supply chain operators should focus when evaluating AI implementations. Woflow's decade-long experience deploying machine learning across supply chain enterprises reveals a critical insight: the last 20% of any workflow—the exceptions and deviations from standard operating procedures—represents 80% of business value and requires human judgment.

This finding shapes their approach to identify which processes truly benefit from automation and which must remain human-led. The company's success in helping 3PLs, brokerages, and carriers quantify ROI centers on incremental time recovery that compounds across a team, not wholesale job elimination. The article also highlights emerging freight demand drivers, particularly the data center buildout. S.

data center capacity is projected to nearly double from 37 gigawatts to 80 gigawatts within a year, creating sustained inbound freight flows for servers, GPUs, and cooling equipment with continuous refresh cycles. This structural demand increase suggests that carrier capacity and operational efficiency—the exact gains AI automation enables—will become increasingly valuable in the near term.