The advertising industry has always adapted to new tools. Print gave way to broadcast, broadcast to digital, digital to social. At each turn we debated standards, resisted change, and eventually found our footing. Generative AI is another such moment, except it is moving faster than anything before it, and for brands the stakes are higher.

The reason is economics. What once took a production team, a studio, and weeks of turnaround now takes minutes and costs almost nothing. That efficiency is real, and marketers should use it. But the same tools that let good creative scale are also flooding platforms with content that was never meant to inform, entertain, or engage anyone, content built purely to farm views, harvest subscribers, and extract ad revenue. The industry finally has a name for it: AI Slop.

It is tempting to treat this as a moral panic about machines making content. It isn't. Not all AI content is slop, and some of the most effective creative running today is AI-assisted. The problem is not that AI made something. The problem is that the open and semi-walled inventory brands buy against is now saturated with low-effort, algorithmically gamed material, and most measurement cannot tell the difference between that and content people actually value.

That distinction is the whole game. The right question is not whether AI was used, but how, to what extent, and with what intent. A colour-corrected clip and a synthetic channel pumping out fifty near-identical videos a day are not the same thing, and no brand strategy should treat them as if they were.

Here is where the conversation usually goes wrong. Framed as a brand-safety issue, AI Slop gets filed under reputation risk, something to avoid so an ad does not appear next to anything embarrassing. That framing undersells the damage. Running against slop is a performance problem. It wastes working media on inventory no engaged human is watching, and there is growing evidence that adjacency to obviously synthetic, low-quality content erodes consumer trust and drags down the very outcomes the campaign was bought to deliver. Slop does not just look bad. It costs money.

The crude response, block everything that smells of AI, is just as expensive in the other direction. Wholesale exclusion of AI-generated content would strip out enormous volumes of legitimate, high-quality inventory, shrinking reach without meaningfully improving safety. Brands do not need a bigger blocklist. They need the ability to distinguish, not merely detect.

Regulators are already moving this way. In India, ASCI's draft guidelines classify AI-generated advertising by risk rather than by a simple yes-or-no on AI use, an acknowledgement that intent and materiality matter more than the tool itself. Across Southeast Asia, similar disclosure and AI rules are coming into force. Most brands are still curious rather than vocal on this, but the ones paying attention understand that the window to get ahead of it is now, not after the pressure arrives.

So what does getting it right look like? It means moving the decision before the money is spent, classifying inventory pre-bid, at the channel, video, and creative level, across the many languages our region actually runs in. It means replacing the blunt binary flag with a calibrated read of how strongly a piece of content shows the signals of slop, so brands keep control rather than surrendering it to a crude filter. That is the approach we have taken at Channel Factory, and the principle behind it is simple: precision over panic.

None of this is a reason to fear AI, and it is certainly not a reason to ignore what is filling our feeds. The brands that win the next few years will not be the ones that treat every machine-made frame as a threat, nor the ones that pretend the slop is not there. They will be the ones that can tell signal from slop, and put their money only where real attention lives.

The author is CBO and head - Asia, Channel Factory.