Estimation question

How much revenue can Google get from driverless cars?

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

Estimation for a nascent business line, requiring the candidate to pick a business model before sizing it.

Clarify the business model: robotaxi ride revenue, Waymo's actual current model, versus licensing self-driving tech to automakers; pick robotaxi rides.
Estimate the addressable ride-hailing market in served cities using known ride-hailing data as a proxy.
Estimate Waymo's realistic market share given limited current geographic coverage, a small single-digit percent.
Estimate average fare per ride and multiply by rides captured to get annual revenue.
State a near-term estimate for current limited cities versus a longer-term scenario if geographic expansion succeeds, showing the number could grow by an order of magnitude.

Picks one clear business model to size, stating that choice explicitly, rather than vaguely gesturing at 'driverless car revenue.'
Distinguishes a near-term, realistic estimate from a long-term optimistic scenario, showing high sensitivity to expansion.
Uses ride-hailing market data as a reasonable anchor rather than inventing numbers from nothing.

Sizing 'the entire self-driving car market' instead of Google's specific addressable revenue given its actual business model and scale.
Giving one static number with no near-term versus long-term distinction, when the range is genuinely huge.

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