Strategy question
If you are the CEO of Google, what will be your roadmap for the next 5 years?
- Strategy
- Hard
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What this question tests
Long-horizon strategic vision combined with the discipline to prioritize a small number of concrete bets rather than an unfocused wish list.
How to approach it
- Frame the roadmap around 2-3 pillars rather than a broad list, e.g. AI integration across core products, cloud/enterprise growth, and next-generation computing (quantum or energy-efficient AI infrastructure).
- For each pillar, name a concrete initiative, e.g. embedding AI assistants natively across Search, Workspace, and Android rather than as separate add-ons.
- Address the core business risk explicitly: protecting search-ad revenue while AI changes how people find information, since this is Google's single biggest strategic tension right now.
- Address competitive pressure: staying ahead of OpenAI/Microsoft and Meta in the AI race while maintaining Google's cloud and enterprise growth against AWS and Azure.
- State a five-year success measure: durable revenue growth in cloud and AI-native products offsetting any structural decline in traditional search-ad revenue.
What a strong answer includes
- Names concrete pillars and initiatives instead of vague statements like 'invest more in AI.'
- Directly addresses the core strategic tension, AI's impact on the search-ads business, rather than avoiding the hardest question.
- States a clear, measurable five-year definition of success.
Common mistakes
- Giving an unfocused list of five or more disconnected initiatives with no prioritization.
- Never mentioning the core risk to Google's ad business posed by AI-driven search behavior changes.
Likely follow-up questions
- What would you do differently in year one versus year five?
- How would you defend the search-ads business while pushing AI-native experiences that reduce clicks to websites?
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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