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Guest
Bio
Summary
We discuss the impact of AI and data on platforms, noting that they are becoming increasingly data-rich environments where humans and machines work together. Kevin believes that AI, particularly large language models (LLMs), will change the way platforms operate and potentially substitute some functions previously performed by humans. He also points out the issue of how unique innovation can be protected when LLMs are used to create new products and that data often flows to the LLM itself. Kevin also notes that established companies can leverage platform-based mechanisms to make better use of their data.
We also discuss how Kevin teaches about platforms, with an emphasis on platform design and data science. He stresses that platforms are designed and built and that their externalities are not simply given. He includes the design of data systems and AI into the platform business model in his teaching. He emphasizes that a platform's value proposition is translated to every side of the platform and that each side has a choice to join based on the value they perceive. Kevin also highlights the importance of platform culture as a shared understanding and a set of norms that helps the platform function. He sees the current period as a time of change analogous to the emergence of the modern firm and notes that business schools need to have a more active role in helping companies adapt. He also believes that universities can help by prototyping new capabilities and running experiments with industry and government partners.
Publications & Projects Mentioned
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By Daniel Trabucchi, Tommaso Buganza and Philip MeierGuest
Bio
Summary
We discuss the impact of AI and data on platforms, noting that they are becoming increasingly data-rich environments where humans and machines work together. Kevin believes that AI, particularly large language models (LLMs), will change the way platforms operate and potentially substitute some functions previously performed by humans. He also points out the issue of how unique innovation can be protected when LLMs are used to create new products and that data often flows to the LLM itself. Kevin also notes that established companies can leverage platform-based mechanisms to make better use of their data.
We also discuss how Kevin teaches about platforms, with an emphasis on platform design and data science. He stresses that platforms are designed and built and that their externalities are not simply given. He includes the design of data systems and AI into the platform business model in his teaching. He emphasizes that a platform's value proposition is translated to every side of the platform and that each side has a choice to join based on the value they perceive. Kevin also highlights the importance of platform culture as a shared understanding and a set of norms that helps the platform function. He sees the current period as a time of change analogous to the emergence of the modern firm and notes that business schools need to have a more active role in helping companies adapt. He also believes that universities can help by prototyping new capabilities and running experiments with industry and government partners.
Publications & Projects Mentioned
Links