The course asks students to identify and analyze a market opportunity that uses generative AI in its core capabilities. Here generative AI must constitute a core part to stakeholders. Each module of the course represents a stage in the strategizing process. But the modules may implemented iteratively through unique sequences, as each project demands. The instructor “teaches” by guiding students as they iterate through the seven modules. The final deliverable for the course is a business plan and (or) a business pitch explaining the outcomes of the analysis.
Module 1: Digital Venturing
- The all digital entrepreneur
- The all venturing via startup
- Digital venturing within firms
Module 2: Finding a market and Assessing Advantages
- Market Fundamentals
- Unique Advantages or Disadvantages
- Expected Returns
Module 3: Assessing the Technology
- Learning the State of the Art
- Keeping Up (?)
Module 4: Sourcing components
- Contracting for Models
- Building and Extending Models Internally
- Partnering for Custom Models
- Leveraging Open Source
- Leveraging APIs
Module 5: Deploying AI-driven Capabilities
- In a Product
- As a Product
Module 6: Choosing a Situating Strategy
- Grounding
- Bounding
- Recasting
Module 7: Executing your Situating Strategy
Research Foundations: Allan Afuah, Ryan Allan, Jay Barney, Thomas Davenport, Samer Faraj, Giovanni Gavetti, Robert Gregory, Ayenda Kemp, Dan Levinthal, Alex Murray, Brain Pentland, Michael Porter, David Teece, Lauren Waardenburg.