
We discuss the transition of AI-native applications toward ad-supported monetization models. Among other things, we cover:Whether AI-native apps will follow the mobile gaming trajectory by adopting hybrid monetization models to reach massive global audiencesHow the high operational costs of AI inference necessitate a move toward ad-supported tiers to maintain sustainable profit marginsWhy the granular intent signals captured in LLM conversations offer a superior alternative to traditional search-based advertising targeting mechanismsWhat new native ad formats will emerge to integrate seamlessly into AI workflows without disrupting the core user experienceWhen the venture capital funding environment will demand more disciplined monetization strategies from AI startups over pure user growthHow established ad-tech infrastructure from the mobile gaming era can be adapted to serve the unique needs of AI developersThanks to the sponsors of this week’s episode of the Mobile Dev Memo podcast:INCRMNTAL. True attribution measures incrementality, always on.Xsolla. With the Xsolla Web Shop, you can create a direct storefront, cut fees down to as low as 5%, and keep players engaged with bundles, rewards, and analytics.Branch. Branch is an AI-powered MMP, connecting every paid, owned, and organic touchpoint so growth teams can see exactly where to put their dollars to bring users in the door and keep them coming backInterested in sponsoring the Mobile Dev Memo podcast? Contact Mobile Dev Memo advertising.The Mobile Dev Memo podcast is available on:SpotifyYouTubeApple Podcasts
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Season 7, Episode 26: Demystifying open source MMM (with Michael Kaminsky)

Season 7, Episode 25: Quantifying the impact of AI Overviews on outbound clicks (with Ananya Sen and Saharsh Agarwal)

Season 7, Episode 24: Understanding rewarded user acquisition (with Tricia Han and Sampsa Jaatinen)

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