Strategy question
Imagine that after 5 years, driverless cars are the norm. What business will you start building today to make use of driverless cars in 5 years?
- Strategy
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Tests forward-looking strategic thinking: identifying a durable business opportunity created by a major technology shift.
How to approach it
- Identify what changes when driverless cars are the norm: shared cars, more idle in-vehicle time, shifting real estate use.
- Pick a derivative opportunity, not driverless cars themselves: in-vehicle commerce or entertainment for idle ride time.
- Assess timing: building now lets the product mature alongside the shift, giving a first-mover advantage.
- Weigh the risk: if adoption is slower or more fragmented, an idle-time business built too early may lack scale.
- Recommend starting narrower today: in-vehicle entertainment or ads for existing ride-hailing trips that scales with adoption.
- Define success as engagement or revenue per ride today, tracked as driverless penetration increases.
What a strong answer includes
- Picks a derivative business instead of trying to compete with driverless car makers directly.
- Explicitly reasons about timing risk, building something viable today that scales with the trend.
- Names a concrete near-term proxy metric to validate the idea before the trend fully materializes.
Common mistakes
- Proposing to build the driverless car technology itself, missing the point of the question.
- No plan for what to do or measure before the trend fully arrives.
Likely follow-up questions
- What would you build first, before driverless cars are common?
- How would you know if the 5-year timeline is slipping?
- What's the biggest risk to this business if adoption stalls?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop