AI strategy is easy to talk about and hard to execute. Lamont teaches from the execution side: the messy middle where founders, executives, engineers, and MBAs have to make decisions with incomplete information.
20 years before the hype
Long before AI became a board slide, the work was closer to science, hardware, product judgment, and painful tradeoffs. That history matters because the same failure patterns keep returning in new packaging.
The faculty moment
At AGSM, the classroom becomes a live operating room: students examine real companies, real constraints, and real adoption problems. This is what the textbook will not tell you.
The bridge builder
The work connects startups to corporates, MBAs to operators, and research to practice. The goal is simple: close the gap between knowing and doing.