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Jason Miller, MSU | The Capacity Driven TL Cycle and the ROI of AI
Freightvine
1w ago·56m

Jason Miller, MSU | The Capacity Driven TL Cycle and the ROI of AI

This week, Chris Caplice is joined by Dr. Jason Miller, Professor of Supply Chain Management at Michigan State University’s Eli Broad College of Business, for his fifth appearance on Freightvine.

Chris and Jason break down why they believe the current truckload cycle began in December 2025, why it took a few months to confirm the shift, and why this expansion looks different from past freight cycles.

In this conversation, they cover:
Why this cycle appears to be supply-driven, not demand-driven
What spot and contract rate spreads can tell us about market shifts
How capacity exits, Class 8 orders, and routing guide failures are shaping the market
Whether the AI boom can deliver real ROI or if the market is getting ahead of itself
What Michigan’s logistics and supply chain work can tell us about manufacturing, food production, and trade

If you’re trying to understand where truckload pricing, capacity, and freight demand may be headed next, this is a timely conversation with one of the industry’s sharpest data-driven voices.

For previous episodes and to subscribe to our newsletter, visit: dat.com/podcast/freightvine

Chapters
00:00 Introduction
02:55 Identifying the Current Truckload Cycle
04:16 Market Signals and Transition Points
05:53 Comparing Cycles: 2017-2018 vs. 2025
09:00 Supply vs. Demand Driven Cycles
12:15 Routing Guide Compliance and Market Dynamics
16:15 Spot vs. Contract Rates: Current Trends
20:38 Economic Factors Influencing Freight Rates
22:47 AI and Memory Chip Demand: Future Implications
26:10 The Future of AI and Profitability
27:23 Electricity Infrastructure and AI's Role
29:03 The Cost of AI and Model Maintenance
31:28 AI's Impact on Labor and Employment
34:04 AI in Academia and Content Creation
38:04 The Economics of AI and Cost Structures
45:33 Logistics and Supply Chain in Michigan
51:09 Freightvine Market Update
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