Strategy question

What should Google do in 5 years with all the tech innovations happening already?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests long-range strategic thinking, requiring a focused bet grounded in Google's actual assets rather than a broad survey of trends.

Clarify scope, one product area or the whole company, before answering.
Pick one theme grounded in real assets, such as using Search and Workspace's data and distribution to embed AI assistants across products.
Assess the competitive landscape, OpenAI and Microsoft Copilot, Anthropic, and Meta AI, to find where Google's distribution is the differentiator.
Lay out the bet: deepen Gemini as the default assistant layer across Search, Workspace and Android rather than a separate standalone product.
Address the risk to the core business, AI answers reducing search ad clicks, and how to offset it.
Define success as AI-assisted session growth with ad revenue per session holding steady or growing.

Picks one grounded bet instead of a grab-bag of trends like quantum computing or AR.
Names the cannibalization risk to Search ads as the central strategic tension this decision must solve.
Uses illustrative numbers as an assumption: assume AI Overviews cut click-through by 15%, offset by new ad formats inside AI answers.
Ties the bet to Google's actual distribution advantage rather than assuming it must out-innovate smaller AI labs on raw model quality.

Listing generic trends with no connection to Google's specific assets or risks.
Ignoring the core business cannibalization risk that makes this decision hard for Google specifically.
Giving a vague answer with no concrete recommendation.

Chapters of the AI PM course that teach what this question tests.