Bold claim: AI-driven shopping is reshaping how we discover and buy fashion, and Google Doppl is leading the charge with a fully AI-generated, TikTok-style discovery feed. If you’re curious about where retail is headed, this development is worth your attention. But here’s where it gets controversial: what happens to human creators when algorithms replace influencers in product discovery?
Google Doppl, an experimental AI-powered fashion app, has introduced a vertical, scrollable discovery feed that mirrors short-form video platforms like TikTok and Instagram Reels. The key difference is clear: every video is generated by AI. No real-life influencers, no selfies—just AI-driven visuals of outfits that are linked directly to merchants. Here’s how it works and why it matters:
- The feed showcases AI-created videos featuring clothing based on real products from retail partners.
- Users can tap on videos to virtually try on items using a 3D avatar of themselves.
- Almost every product shown links directly to a merchant, making it actionable from the first moment of engagement.
Doppl builds a user style profile from the preferences you share and the items you interact with within the app. Based on that data, it suggests outfits and visuals tailored to your taste. The experience is currently live in the U.S. for iOS and Android users aged 18 and older.
This development reflects a broader trend: the convergence of AI personalization with mobile-first shopping. Short-form video has proven powerful for spurring impulse purchases on platforms like TikTok and Instagram. What’s new here is Google’s choice to replace human creators with algorithms and static product pages with interactive, AI-generated visuals. This marks a notable shift in how brands approach the customer journey:
- Discovery through an endless, AI-curated feed (akin to TikTok).
- Virtual try-ons within the app (similar in spirit to AR try-ons in other apps).
- Direct checkout links to merchants, streamlining the path from discovery to purchase.
Google isn’t alone in exploring AI-generated shopping content. Meta is testing a feed of AI-generated videos called “Vibes” within the Meta AI app, and OpenAI has introduced Sora for AI video content. The idea of AI avatars and synthetic try-ons is moving from novelty to a scalable norm, prompting brands to ask: will consumers embrace this shift at scale?
Key takeaways for marketers navigating retail, AI, and influencer dynamics:
- AI-led discovery is now part of the shopping funnel. If AI-driven video feeds gain traction, marketers may shift from briefing human creators to briefing algorithms.
- Google is currently prioritizing AI over traditional creators in Doppl’s feed, reducing immediate reliance on influencer campaigns and opening opportunities to use first-party brand assets as AI training inputs.
- The format promises production-cost savings. Short-form video is high-ROI but expensive to scale; Doppl automates this process, potentially enabling small brands and DTC newcomers to participate more easily if Google opens the feed to brands directly.
- It signals Google’s broader e-commerce ambitions. Beyond a Labs experiment, Doppl could be a taste of how Google might weave AI and shopping across Search, YouTube, and more, competing with Amazon for product discovery.
In short, Doppl’s AI shopping feed is less about selling fashion and more about testing what AI-powered retail could look like. It isn’t trying to replace every platform, but it’s learning from them while sidestepping the complexity of influencer partnerships and manual content production.
For brands, the strategic question isn’t whether to chase the latest platform, but how to adapt to the underlying mechanisms. If synthetic content becomes standard, plan for how and where your brand shows up within these algorithmic discovery feeds—and consider the role of AI-generated visuals in your overall strategy.
Would you prefer AI-generated shopping experiences to feel like guided assistance from a fashion expert, or more like a fully autonomous, algorithm-driven stylist? And do you think consumers will trust AI-powered outfits enough to make purchases without human endorsements guiding the way? Share your thoughts in the comments.
