Music platforms are cracking down on AI-generated content, but YouTube appears to be moving in the opposite direction. Spotify now labels AI artists with "AI Persona" tags and excludes them from algorithmic recommendations, Apple Music has introduced a "Made With AI" label, and TIDAL has cut AI tracks off royalties entirely. Yet YouTube recently changed its view-count policy in a way that creators say rewards low-quality AI slop.
The change looks small: since 24 August, YouTube counts a view the moment playback begins, rather than after 10 to 30 seconds of watch time. Creators argue it only encourages the cheap, clickbait content flooding the platform.
YouTube's limited crackdown
YouTube hasn't ignored the problem entirely. Its Inauthentic Content policy has removed channels for mass-produced low-quality videos. In July, it spelled out three categories that can't be monetised: generic and repetitive content, "off-putting" or emotionally manipulative content, and AI personas.
That sounds like something. But enforcement happens after the fact, applied to channels that have already been uploaded, recommended and watched. There's no badge on the video, no warning before you hit play.
The difference is timing. TIDAL switches off royalties, Spotify excludes AI acts from Discover Weekly. That's prevention. YouTube's approach is papering over the cracks.
Ads vs subscriptions
The business models explain the gap. Spotify, Apple Music and TIDAL are largely subscription-based. Every stream draws from the same royalty pool, and every AI-farmed stream takes a slice away from a legitimate artist.
YouTube doesn't have that problem. It's less a subscription business, more an ad business. And ad businesses thrive on attention.
As the source article puts it: "While Spotify's main interest is keeping the best artists on its platform, in order to keep subscribers happy, YouTube doesn't have that 'problem'. From the point of view of its business, the more videos, more watch time, more slots to sell against, the better… whether viewers enjoy them or not."
From that angle, a mediocre AI-generated video doesn't steal revenue from a better one. It just adds another shelf to the shop. Whether a human or a prompt made the thing matters less than whether someone pressed play.
The view-count change fits that logic. Registering a view the instant playback starts rewards exactly what AI slop does best: getting a thumbnail clicked. YouTube frames the change as tidying up metrics to match TikTok and Instagram. But the author of the source piece has a simpler explanation: follow the money.
Why this matters for creatives
If you're making videos on YouTube, the policy divergence means you're competing in a world designed to surface whatever gets watched - not necessarily what's worth watching. AI-generated media may be more flooded if you're working in video, and this is where your own skills in authentic storytelling become a differentiator. For video editors working with AI tools, learning the platforms and its monetisation rules matters as much as the editing itself.
The bigger lesson applies across creative work: the rules of any platform reflect its revenue model. If you're a creative, understanding that tells you where your content is heading, what gets prioritised, maybe learning the practical skills the so-called "AI slop" can't replicate is worth your time. The AI Learning Path for Video Editors covers exactly that ground.
And for AI for Creatives more broadly, this isn't just a music-video problem. It's a signal that platforms are choosing their own economics over content quality - and the only buffer is your own skill and taste.
Your membership also unlocks:
