Meta and Intuit Credit Karma

Supriya Gupta - Meta Exec Explains How AI is Reshaping Advertising

Today's episode is with Supriya Gupta, ex-VP of Product at Intuit Credit Karma and former Product Lead on the Ads team at Meta when that business was scaling like crazy.

She brings a really unique perspective on everything happening with GenAI right now because she's seen it from the inside at two of the biggest companies in tech.

We get into how ads are slowly going to be generated on the spot, per user, where the image, copy and offer will all be unique to you specifically. We talk about why you can't just infinitely scale ad testing even though it's now theoretically possible, and why flooding the internet with AI content might actually be the worst thing you can do for your brand.

We also go deep on what actually happened inside Credit Karma when they started building with GenAI, including what moved the needle and what didn't, and what that means for designers, PMs, and content teams everywhere.

And at the end, Supriya shares why she walked away from her VP role to start her own company, and what she's building now.

You don't wanna miss this one.

🔗 Find Supriya on LinkedIn: https://www.linkedin.com/in/supriyag/

🌐 Company's website: https://www.helloeve.co/

Supriya Gupta - Meta Exec Explains How AI is Reshaping Advertising
Episode still: Supriya Gupta, Meta and Intuit Credit Karma

What this episode covers

A product strategy conversation on where AI changes advertising workflows, where it does not, and how leaders should evaluate applied AI opportunities.

Why this matters in practice

Applied-AI strategy should begin with workflow leverage and user value rather than a generic mandate to add AI.

Chapters

  1. 00:00Intro
  2. 01:27Predictive AI vs. Generative AI: what actually changed
  3. 02:59The next gen of dynamic ads — why every user could soon get a unique ad
  4. 06:52Will content agencies survive the AI era?
  5. 09:17Why you can't just test a million ad variants (the stats problem)
  6. 12:55AI slop, UGC backlash, and should AI content be labeled?
  7. 17:02Supriya joins Credit Karma: building the Lightbox targeting platform
  8. 21:23Building the Credit Karma financial assistant
  9. 24:35Handling hallucinations in a finance app at scale
  10. 27:26What happened to content designers when AI started writing copy
  11. 29:56Why AI copy still needs human taste and judgment
  12. 31:01PMs are prototyping now — what that means for design and eng
  13. 33:30Will there be fewer PMs? (Probably not — here's why)
  14. 35:33Why Supriya left Credit Karma to start her own company
  15. 37:23The principles she built her startup around
  16. 39:20The rise of the "super IC" — managers becoming AI-powered operators
  17. 41:54Why most AI projects fail before they even start
  18. 45:33Enterprises vs. startups: how they approach AI differently
  19. 48:13What a successful AI deployment actually looks like
  20. 51:02Will everyone need to upskill on AI? (Spoiler: maybe not)
  21. 52:41Most execs are thinking about cost-cutting — the smarter ones aren't
  22. 53:49The executive digital twin: Supriya's startup vision
  23. 56:51Current product, roadmap, and what's shipping next
  24. 58:52Where to find Supriya

Key takeaways

  • How AI changes ad products
  • Lessons from Meta and Credit Karma
  • Evaluating product workflows for AI leverage
  • Where human judgment still matters
AI strategy works when it starts from workflow leverage, not from a generic mandate to add AI.

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