I didn’t realize the most valuable thing the Marines gave me until I watched artificial intelligence struggle with a problem everyone assumed it should solve easily. I was working on an enterprise AI project when a talented developer asked the system to consolidate dozens of software functions into a single platform. The AI worked quickly, but the results drifted from reality.
Records landed in the wrong places. Business rules no longer matched operations. After several attempts, the conclusion seemed obvious: the technology wasn’t ready.
Watching it unfold, I asked a different question: Had we actually thought the problem through before asking AI to solve it? That moment changed how I viewed artificial intelligence, and my own career. I realized the thinking process the Marines drilled into me over seven years as an infantry officer (what I now describe as constraint-first thinking) had become one of the scarcest skills in the AI economy.
We were trained to define the mission, understand the constraints, challenge our assumptions, and only then begin execution. AI rewards that same discipline. When people talk about military service, they often focus on leadership, discipline, or resilience.
The lesson that has proven unexpectedly valuable, though, was learning how to think through uncertainty before taking the first step. Much of my time in the Marines involved planning complex amphibious operations. Every mission required coordinating people, equipment, logistics, communications, and timing while assuming conditions would change once execution began.
We expected friction, so we spent more time testing assumptions than admiring them. Every contingency had to be explored before anyone moved. Years later, in enterprise technology consulting, I discovered AI rewards the same habit of mind.
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