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What's the biggest misconception about building AI products that you've had to navigate?

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3 Answers
  1. Puja Hait
    Puja Hait

    Google Group Product Manager • 6mo

    In my experiences, the biggest challenge is to change user behaviors fundamentally. Its far easier to insert AI into something users already do versus create a net new surface or user journey for them.

    Also its not always straightforward to paint what surface should be used for what- since with GenAI, you can do a lot on the same surface so lines start to blur. Its important to build and iterate with an open mind since nobody holds the crystal ball.

    834 Views
  2. Shahid Hussain
    Shahid Hussain

    Google Group Product Manager, Android • 3mo

    The fundamentals of building AI products are the same as ever. There's a large cache of discussion on what AI PMs do and how it's different, and there's some value to it. I'd argue that the means of production have meaningfully shifted into high gear -- it's way faster than it's ever been to build and ship product. Whether PMs are vibe coding or not, this has shifted the time and cost of rapid iteration to a point where code is often no longer the constraint -- it's now the testing environment i ...Read More

    732 Views
  3. Ruchi Aggarwal
    Ruchi Aggarwal

    Former BILL Director, Product Management - Payments • 7mo

    The biggest misconception is believing AI will do everything for you- define the MVP, decide what to build, and evaluate itself. It won’t. You still need clear requirements, scope, and a definition of “good.” AI is powerful, but only when paired with strong product thinking. You have to guide it, structure the problem, and feed it the right context. Otherwise, it produces noise, not outcomes.

    717 Views

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