Start by explaining Google's core business model: selling targeted advertising across its search, display, and video platforms, with additional revenue from cloud, hardware, and app sales. Then discuss why this model was chosen—aligning with Google's mission to organize information and its strength in data and machine learning—and finally outline the biggest risks such as regulatory pressure, privacy changes, and competition.
Pro tip: Show that you understand the engineering implications of the business model—e.g., how ad targeting relies on large-scale data processing and machine learning—and tie risks to technical challenges like privacy-preserving ad tech.
Describe how Google makes money primarily through advertising (Search, YouTube, Network) and secondarily through cloud, hardware, and Play Store. Mention specific products and their contribution.
Explain why advertising is a natural fit: it aligns with Google's mission to make information accessible, leverages its strengths in data, AI, and scale, and creates a virtuous cycle with users and advertisers.
Discuss risks such as regulatory scrutiny (antitrust, privacy laws), platform changes (e.g., Apple's ATT), competition from TikTok and AI chatbots, and dependence on ad spend cycles.
Highlight how these risks and the business model impact engineering decisions, such as the shift to privacy sandbox, investment in AI for ads, and diversification into cloud.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.