Choose the Industry Where AI Could Create the Most Value and Defend the Choice

Quick Overview

A product strategy prompt that asks a product manager candidate to pick the industry where artificial intelligence has the greatest potential and defend that choice. It tests how clearly the candidate defines potential, compares credible alternatives on the same criteria, and weighs adoption barriers such as regulation, data access and trust.

Choose the Industry Where AI Could Create the Most Value and Defend the Choice

Company: Google

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

AI is advancing quickly, but it will not reshape every industry to the same degree. In your view, which industry does AI have the most potential to transform? Choose one, explain how you are judging "potential," and defend your choice against the strongest alternatives. ```hint Criteria before candidates Decide what "most potential" means to you, such as value at stake, how much of the work AI can actually do, and how fast the industry can adopt it, then compare a short list of industries against those same yardsticks. ``` ### Clarifying Questions - Should "potential" be judged by economic value created, by benefit to society such as lives saved or wider access, or by the revenue a company like Google could capture? - Over what horizon: the next two to three years, or the next decade? - Does "AI" mean generative models such as large language models specifically, or machine learning broadly, including prediction and computer vision? - Is the scope global, or a particular market? ### What a Strong Answer Covers - An explicit definition of potential and a time horizon, turned into criteria that can be applied to any industry. - A short list of credible candidates compared on the same criteria, rather than a single favorite asserted up front. - A clear pick, backed by concrete AI use cases in that industry and an argument for why it beats the runner-up. - The barriers in the chosen industry (data access, regulation, liability, trust, integration) and how they shape the order in which value is unlocked. - How you would tell, a few years in, whether the potential is being realized, and what evidence would change your mind. ### Follow-up Questions - Would your answer change if the horizon were the next two years instead of the next ten? Why? - If you were a PM at Google, what first product would you build in the industry you chose, and how would you measure it? - Name an industry that is widely hyped for AI but that you think is overrated, and explain why.

Overview: A product strategy prompt that asks a product manager candidate to pick the industry where artificial intelligence has the greatest potential and defend that choice. It tests how clearly the candidate defines potential, compares credible alternatives on the same criteria, and weighs adoption barriers such as regulation, data access and trust.

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Google
Feb 2, 2026
mediumProduct ManagerOtherProduct Design & Strategy
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AI is advancing quickly, but it will not reshape every industry to the same degree. In your view, which industry does AI have the most potential to transform? Choose one, explain how you are judging "potential," and defend your choice against the strongest alternatives.

Clarifying Questions Guidance

  • Should "potential" be judged by economic value created, by benefit to society such as lives saved or wider access, or by the revenue a company like Google could capture?
  • Over what horizon: the next two to three years, or the next decade?
  • Does "AI" mean generative models such as large language models specifically, or machine learning broadly, including prediction and computer vision?
  • Is the scope global, or a particular market?

What a Strong Answer Covers Guidance

  • An explicit definition of potential and a time horizon, turned into criteria that can be applied to any industry.
  • A short list of credible candidates compared on the same criteria, rather than a single favorite asserted up front.
  • A clear pick, backed by concrete AI use cases in that industry and an argument for why it beats the runner-up.
  • The barriers in the chosen industry (data access, regulation, liability, trust, integration) and how they shape the order in which value is unlocked.
  • How you would tell, a few years in, whether the potential is being realized, and what evidence would change your mind.

Follow-up Questions Guidance

  • Would your answer change if the horizon were the next two years instead of the next ten? Why?
  • If you were a PM at Google, what first product would you build in the industry you chose, and how would you measure it?
  • Name an industry that is widely hyped for AI but that you think is overrated, and explain why.