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GSBGEN 310: Business and AI: Lessons from Entrepreneurs, Executives, and Investors

As AI technology advances at an unprecedented pace, both start-ups and established corporations are racing to harness its potential, aiming to revolutionize every sector with innovative applications. What are these opportunities, and how are these firms creating a sustainable competitive advantage? In this class, the teaching team will guide interactive classroom discussions on adopting AI in business. Guest speakers - CEOs or venture capitalists at the forefront of AI - will tell their stories, offering valuable insights from a myriad of industries and perspectives. The structure for this course will be a combination of: addressing what is different about starting an AI company; asking how AI companies (particularly Generative AI) are being valued and the associated risks; exploring how large companies are rapidly adopting AI; and introducing relevant economic models. Almost all days will have engaging speakers, and 50% of your course grade will be participation, as you interact with more »
As AI technology advances at an unprecedented pace, both start-ups and established corporations are racing to harness its potential, aiming to revolutionize every sector with innovative applications. What are these opportunities, and how are these firms creating a sustainable competitive advantage? In this class, the teaching team will guide interactive classroom discussions on adopting AI in business. Guest speakers - CEOs or venture capitalists at the forefront of AI - will tell their stories, offering valuable insights from a myriad of industries and perspectives. The structure for this course will be a combination of: addressing what is different about starting an AI company; asking how AI companies (particularly Generative AI) are being valued and the associated risks; exploring how large companies are rapidly adopting AI; and introducing relevant economic models. Almost all days will have engaging speakers, and 50% of your course grade will be participation, as you interact with them and with your peers. There are two assignments and a group project. The faculty will provide a structured foundation to guide you, and short lectures on a number of topics. Students do not need in-depth technical knowledge of AI; you will be expected to learn the basics along the way, and will be taught about LLM models through examples.
Terms: Spr | Units: 3
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