# AI Podcast Recommendations Spotcast Shares Personalized Suggestions Based on Listening Habits By Laura McQuarrie | Published 2020-04-13 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/podcast-recommendation References: [producthunt](https://www.producthunt.com/posts/spotcast) & [spotcast.app](https://www.spotcast.app/) The sheer number of podcasts that are currently available may seem overwhelming, especially when it comes to choosing a few new options to listen to—but Spotcast helps to make [personalized podcast recommendations](https://www.trendhunter.com/trends/tailored-pod) by leveraging the power of artificial intelligence. Spotcast looks into a user's [listening habits](https://www.trendhunter.com/trends/hyperpersonalized-playlists-spotify-is-using-advanced-ai-to-create-a-connec) to offer specific suggestions, helping to save time and connect listeners to the topics that they are actually interested in hearing about. As well as considering a user's listening preferences, Spotcast also offers different recommendations based on the time of day, such as going to work, unwinding in the evening or preparing to fall asleep. The [AI podcast recommendations](https://www.trendhunter.com/trends/genfm) are also adapted to listening devices, such as smartphones, smart speakers, cars and more. Image Credit: Spotcast ## Trend Insights (Trend Hunter) - Score: 2.9/10 - Popularity: 34% | Activity: 44% | Freshness: 9% - Audience gender: 50% men, 50% women - Primary generations: Millennial - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [Mobile](https://www.trendhunter.com/mobile) ## Key Themes ### What Makes This Trend Stand Out - **Personalized AI Podcast Recommendations:** A trend toward personalized artificial intelligence (AI) in podcast recommendations, using listening habits and time of day to offer tailored suggestions. - **Multi-platform Integration for AI Podcast Recommendations:** A trend toward integrating artificial intelligence (AI) podcast recommendations across multiple devices and platforms to increase accessibility and convenience. - **AI-driven Podcast Curation:** A trend toward using artificial intelligence (AI) for more targeted and efficient podcast curation, enhancing the listener experience and potentially increasing engagement. ### Sectors Adopting This - **Podcasting:** The podcasting industry has an opportunity to leverage personalized artificial intelligence (AI) recommendations and multi-platform integration to increase listenership and improve user experience. - **Streaming Services:** Streaming services such as Spotify and Apple Music have an opportunity to incorporate artificial intelligence (AI) podcast recommendations into their platforms, potentially attracting new users and increasing engagement. - **Smart Devices:** Smart device manufacturers and developers have an opportunity to integrate artificial intelligence (AI) podcast recommendations into their devices, providing a more seamless and convenient listening experience for users. ## Related on Trend Hunter - [AI Podcast Platforms](https://www.trendhunter.com/trends/anycast.md) - [Post-Production AI Podcast Tools](https://www.trendhunter.com/trends/listenerfm.md) - [AI Podcast Studios](https://www.trendhunter.com/trends/memocasts-ai.md) - [Social Podcast Exploration Platforms](https://www.trendhunter.com/trends/podiscover.md) - [AI-Powered Podcast Production Platforms](https://www.trendhunter.com/trends/recast-studio-podcast-maker.md) - [Podcast Clip Curators](https://www.trendhunter.com/trends/aipowered-podcast-app.md) - [Offline AI Podcasts](https://www.trendhunter.com/trends/botcast.md) - [Podcast Automation Platforms](https://www.trendhunter.com/trends/podcas.md) - [AI Podcast Summaries](https://www.trendhunter.com/trends/podcast-summaries.md)