Billion-Dollar AI Startup Bet: Choosing What to Build with Google's Investment

Picture yourself as the CEO of an AI startup, and Google offers to fund the company with \$1B. What product do you build with it, and why? ```hint Make the money matter Ask what kind of product actually needs this much capital, and what a strategic investor like Google brings beyond cash. Weigh how each idea you consider would sit next to products Google builds itself. ``` ### Clarifying Questions - Does the startup already have a product, team and customers, or are we choosing its first product from scratch? - Does the funding come with conditions, such as building on Google Cloud or Gemini models, or giving Google distribution or acquisition rights? - Over what horizon should the investment pay off, and is the aim a standalone company or an eventual strategic fit with Google? - Are consumer and enterprise products both open, or is one of them off the table? ### What a Strong Answer Covers - Explicit criteria for choosing among AI product ideas: pain and willingness to pay, why AI makes it possible now, defensibility beyond the model, and why it needs this much capital. - How Google as the investor shapes the choice: what it accelerates, which areas would put the startup in direct competition with Google, and how customers may view their data. - A specific target user, problem and first product, with a credible path from the first version to a large business. - How the funding would be staged against milestones, plus success metrics and the signals that would trigger a change of direction. - Risks such as model commoditization, regulation and dependence on a single platform partner. ### Follow-up Questions - A year in, Google launches a feature that overlaps with your first version. What do you do? - Which milestone would you require before spending the second half of the money, and what result would make you change direction? - Another investor offers the same amount with no strategic ties. How do you weigh the two offers?