AI, Human Capital, and the Risk of Short-Term Optimization
AI adoption isn’t just a technology choice—it’s an organizational one. Why short-term cost extraction can weaken long-term resilience, and what to do instead.
My background, what I focus on, and why I write.
I started my career on the production line at GM’s Flint Assembly and later moved into roles that exposed me to the complexity of materials flow, supplier performance, and the cost of downtime.
Today, I work in supply chain operations and I’m finishing my bachelor’s degree in Supply Chain & Operations Management. I write about practical operations, continuous improvement, and how AI will change transportation and logistics.
If you want the full story, it’s here: My Journey in Supply Chain & Why I’m Writing Here.
AI adoption isn’t just a technology choice—it’s an organizational one. Why short-term cost extraction can weaken long-term resilience, and what to do instead.
AI agents are moving from chat to operations—bidding loads, dispatching, and tracking compliance so operators can stay focused on service and profitability.
From GM’s Flint Assembly line to Ryder supply chain operations—why I’m writing, what I’m learning, and the technologies I’m tracking (AI and beyond).
How autonomous AI agents will bid loads, dispatch, stay DOT-compliant, and scale owner-operators—plus what larger carriers should build next.
From GM’s Flint Assembly line to studying Supply Chain & Operations at the University of Michigan—why I’m building in public and exploring AI’s role in logistics.