A Watch-Time Strategy I’m Testing for My AI Music Channel With YouTube moving toward 8,000 watch hours or 20 million Shorts views for monetization, I’m currently focusing heavily on reaching the existing 4,000 watch hours before 01.02.2027. I recently started testing a strategy specifically for AI music channels, and the first results have been surprisingly good. I’m running pre-recorded livestreams twice per day using my own AI-generated music and visuals. My current setup: 🔥 One long livestream during the day 🌙 A second livestream overnight The streams can run for up to 12 hours from a cloud streaming service, so I don’t need to keep my computer running the whole time. The livestream itself helps generate additional watch time, but there’s another useful part of the strategy. After the livestream has finished, you can go into: YouTube Studio → Video → Editor Then select a section of the livestream, for example one hour, and use “Save as new.” So theoretically, a 12-hour livestream could give you multiple separate long-form videos. I wouldn’t publish 12 versions immediately though. I think it makes more sense to spread them out over time, use different sections of the stream, create new thumbnails and adjust the titles before publishing them as individual videos. That way, the original livestream can continue producing content even after it has ended. The watch-time difference on my channel has already been significant. Before doing this, I was usually getting around 2–5 watch hours per day. Since starting the long livestreams, I’ve already had two days with more than 40 hours of watch time each. That’s a massive difference for a small music channel. I only recently started testing this, so I still want to see how consistently it works over the next weeks, but so far long pre-recorded livestreams look like one of the most effective ways I’ve found to build watch hours with original AI music. Maybe useful for anyone else here trying to grow an AI music channel before the new requirements kick in. 🎶