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Forward Deployed · May 4 · 56 min

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

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show notes

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/

⏱ Chapters
00:00 Intro

01:27 Predictive AI vs. Generative AI: what actually changed

02:59 The next gen of dynamic ads — why every user could soon get a unique ad

06:52 Will content agencies survive the AI era?

09:17 Why you can't just test a million ad variants (the stats problem)

12:55 AI slop, UGC backlash, and should AI content be labeled?

17:02 Supriya joins Credit Karma: building the Lightbox targeting platform

21:23 Building the Credit Karma financial assistant

24:35 Handling hallucinations in a finance app at scale

27:26 What happened to content designers when AI started writing copy

29:56 Why AI copy still needs human taste and judgment

31:01 PMs are prototyping now — what that means for design and eng

33:30 Will there be fewer PMs? (Probably not — here's why)

35:33 Why Supriya left Credit Karma to start her own company

37:23 The principles she built her startup around

39:20 The rise of the "super IC" — managers becoming AI-powered operators

41:54 Why most AI projects fail before they even start

45:33 Enterprises vs. startups: how they approach AI differently

48:13 What a successful AI deployment actually looks like

51:02 Will everyone need to upskill on AI? (Spoiler: maybe not)

52:41 Most execs are thinking about cost-cutting — the smarter ones aren't

53:49 The executive digital twin: Supriya's startup vision

56:51 Current product, roadmap, and what's shipping next

58:52 Where to find Supriya

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