
"AI has changed content creation overnight. What once required time, skill or a production budget can now be spun up in seconds. That's led to an explosion of low-quality, made-for-advertising (MFA) content, not just across obscure websites , but also on social platforms like TikTok, YouTube and Meta. For years, MFA was a mostly web-based problem: cheap, SEO-bait sites built to farm impressions."
"On social platforms, these videos blend seamlessly into feeds, making them harder to detect and block. That's a problem for advertisers who rely on programmatic pipes that don't always distinguish between authentic creator content and automated filler. Why this matters for advertisers MFA moving to social isn't just a brand safety concern. It's a waste and trust problem. Ad budgets that should be funding meaningful creator ecosystems are instead being siphoned into AI-generated junk designed to keep viewers scrolling instead of connecting."
Generative AI has enabled rapid, low-cost production of vast quantities of made-for-advertising (MFA) content that now appears across TikTok, YouTube and Meta. Automated tools can generate thousands of short videos daily, tailored to algorithmic incentives and indistinguishable from authentic creator output in feeds. Programmatic advertising systems often fail to separate AI-generated filler from genuine creator content, redirecting ad budgets toward low-engagement impressions. Consequences include wasted impressions, diminished media quality as automated videos crowd out creators, and brand adjacency risks that erode consumer trust. Social media captures the majority of digital ad spend, and platforms cannot solve the problem alone.
Read at AdExchanger
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