Choose and Defend the Industry Where ChatGPT Enterprise Creates the Most Value

As a product manager at OpenAI, name the one industry you believe stands to gain the most from the enterprise edition of ChatGPT, and defend your pick. ```hint Define "most" first Before naming an industry, decide how you would compare industries. Several have enormous potential on paper; ask which can actually capture it with the product as it exists and with the level of error their work can tolerate. ``` ### Clarifying Questions - Does "benefit the most" mean the value the industry gains, the revenue OpenAI could earn from it, or both? - Should I treat the enterprise product as it is today, a secure, admin-managed workplace assistant, or assume deeper industry-specific features can be built? - Is the time frame the next year or two, or the long run? - Are companies building their own tools on OpenAI's API in scope, or only the seat-based ChatGPT product? ### What a Strong Answer Covers - Explicit criteria for comparing industries, such as the share of work that is knowledge work, the value of that work, tolerance for errors, and data or regulatory constraints. - A comparison of several plausible industries before committing to one, with reasons the runners-up lose. - The specific use cases and enterprise requirements that would turn the pick into real value, such as confidentiality, access controls and integrations. - How success would be measured in the chosen industry, and the risks that could undermine adoption. ### Follow-up Questions - A sales leader argues for healthcare instead because its potential is larger. How do you respond? - What would you build in the next two quarters to win your chosen industry without turning ChatGPT Enterprise into a vertical product? - Six months in, seat utilization at customers in your industry is low. How do you diagnose why?