AI Recommendations and the New Netflix Vertical Video Feed
Netflix is turning its mobile apps into an AI-driven discovery engine, placing a vertical video feed at the center of the experience. After testing since 2025, this vertical video feed will surface video podcasts alongside Netflix’s wider catalog of shows and films, creating a TikTok-like scroll that pulls viewers into new formats. The company is simultaneously expanding AI recommendations across content and ads, with leadership arguing that new model architectures will let Netflix iterate faster, handle more content types and sharpen personalization. This push into AI recommendations on Netflix matters for creators because it changes where and how audiences stumble onto new work: short, vertical video and podcast clips become the on-ramp to longer viewing. As Netflix experiments with generative AI in production through its InterPositive acquisition, creators who understand how to package content for this vertical video feed will be best positioned for algorithmic discovery.
beehiiv’s Webinars, AI Analytics and Paywalls for Audience-Owned Creators
While Netflix leans into feeds, beehiiv is building AI-powered infrastructure for owned audiences. The newsletter platform now lets creators host live webinars for up to 1,000 attendees, sell tickets in multiple currencies and embed event listings directly inside emails. Revenue flows directly to creators aside from payment processing, turning live education and events into a new pillar of creator monetization tools. On the audio side, beehiiv AI analytics arrive through Model Context Protocol integration: creators can query podcast downloads, geography, listening apps and transcripts conversationally via Claude or other AI clients. This beehiiv AI analytics layer supports tighter feedback loops on what resonates. Combined with metered paywalls and bundled newsletter–podcast subscriptions, beehiiv is nudging writers and podcasters toward hybrid models that mix free reach with paid depth. For creators, it’s a blueprint for building durable audience revenue without surrendering control to a single algorithmic feed.
iQIYI’s AI Content Ecosystem and Nadou Pro for Professional Creators
In China, iQIYI is reimagining its platform around iQIYI AI content creation and decentralised distribution. The company is shifting toward a social-media-like model where creators can onboard with zero threshold, publish directly and participate in transparent revenue sharing tied to project performance. At the core is Nadou Pro, a full-stack AI production platform that integrates nearly 70 AI agents for scriptwriting, directing, visual design, editing and more into one workflow. Rather than isolated tools, Nadou Pro connects creators to iQIYI’s IP library, talent network and digital asset bank of scenes, props and virtual characters. Finished works flow into iQIYI’s distribution and monetisation systems, supported by additional subsidies for certain AI-generated, mid-form series. This approach positions iQIYI AI content as industrial-grade but accessible, lowering production barriers while giving creators stronger ownership of IP and revenue – a stark contrast to legacy, centrally commissioned streaming models.
How AI Discovery is Reshaping Strategy, Niches and Formats
Across Netflix, beehiiv and iQIYI, AI is quietly rewriting the rules of discoverability. AI recommendations on Netflix and iQIYI’s decentralised feeds reward content that is easy to segment and understand: clean vertical video feed snippets, clear topics, consistent series formats and metadata-rich uploads. For creators, this encourages serialized, niche content that algorithms can confidently match to micro-audiences. Meanwhile, beehiiv’s AI analytics let newsletter and podcast creators drill into listening behaviour and geography to refine positioning, test headlines and align sponsorship pitches. The upside is more precise niche targeting and faster feedback on what works. The downside is rising algorithm dependence: when AI systems gate most discovery, small changes in ranking logic can whiplash traffic. Creators must balance optimization for recommendation engines with durable audience relationships via email lists, private feeds and communities that are less vulnerable to feed volatility.
Opportunities, Risks and Practical Playbook for Creators
The new AI-driven landscape offers powerful opportunities alongside fresh risks. On the opportunity side, creators can tap Netflix’s vertical video feed to tease longer works, use beehiiv webinars to convert loyal readers into high-intent buyers, and leverage Nadou Pro to produce professional-grade iQIYI AI content at lower cost and speed. But there are trade-offs: paywall fatigue can erode growth if every touchpoint is gated, and over-reliance on any single platform’s AI recommendations can leave revenue exposed to opaque algorithm changes. A pragmatic strategy is to treat feeds as top-of-funnel and owned channels as the stabiliser. Practically, creators should: design short, vertical clips that stand alone; use AI analytics to double down on high-retention topics; test metered paywalls rather than hard walls; and diversify monetisation across ads, tickets, subscriptions and IP licensing. The creators who thrive will be those who collaborate with AI systems without letting them dictate every creative choice.