AI strategy, taught to executives.
I teach AI strategy in the Executive MBA program at the University of Georgia's Terry College of Business. These nine modules are the course textbook, which I generated with AI for the Fall 2026 edition. The course itself is the in-class work and the discussion, which isn't published.
The course starts from the same premise as my consulting work: AI is a strategic, organizational, and leadership problem before it is a technology problem. Each module ends in a working artifact a leader can take back to the office: a strategic thesis, a delegation card for one workflow, a stack and sourcing appendix, a governance card, a business case, a board response, and a capability acceleration plan. The capstone kit assembles them into a five-to-seven-page AI strategy memo.
Every module has the same three parts. The pre-class read carries the argument. The field reference holds the decision tables, templates, and cautionary cases meant for use after the course. The card specification says what a finished artifact contains. The in-class exercises are left out because they only work live.
The modules
Module 0: Course Orientation
How the course is built, the recurring cases, and the writing architecture. PDF, 6 pages
Module 1: AI Strategy Landscape: From Adoption to Advantage
Why the model is rarely the moat, and where durable value can accrue. PDF, 21 pages
Module 2: Executive AI Literacy: Prompting, Context, and Judgment
Work orders, context boundaries, authority levels, and delegating well to AI. PDF, 39 pages
Module 3: AI Stack, Data, and Sourcing: From Demo to Dependable Capability
Context engineering, data strategy, harness design, sourcing, observability, and portability. PDF, 37 pages
Module 4: Responsible AI, Security, and Governance
Risk tiering, controls, assurance evidence, oversight, and incident readiness. PDF, 33 pages
Module 5: AI Economics and Scaling Discipline: From Pilot to P&L
KPI value chains, FinOps, cost per successful task, and stop, pivot, or scale criteria. PDF, 37 pages
Module 6: Future of Competition: From Frontier Shock to Board-Ready Response
Agentic AI as a strategic shift, and how a board should respond. PDF, 27 pages
Module 7: AI Capability Acceleration: From Adoption to Organizational Capability
Managers, champions, cascade learning, and first-90-days evidence. PDF, 28 pages
Module 8: Capstone Artifact Kit
Twelve templates that assemble the course artifacts into one decision memo. PDF, 14 pages
Fall 2026 edition. The cases come from public sources; none describes a client engagement. Dated claims are current as of the date shown in each module.
© 2026 Gerald C. Kane. The modules are licensed under CC BY-NC 4.0: share and adapt them for noncommercial use with credit to me as the author. Don't present them as your own, and ask first for paid training or consulting use.
The modules were written for a room of senior leaders working on their own organizations. When a leadership team wants to work through this material against its own tools, policies, and strategy, that's what the Bootcamp and the Accelerator are for.