AI search: killing the goose that lays golden eggs?

jamesaso

I've been chewing on this for a while. If AI search gets good enough to research products, compare travel options, and recommend restaurants without ever sending users to the source sites, what happens to the incentive to create that content in the first place?

As a mobile app marketer, I see this hitting us hard. Most of our installs come from content-driven discovery-reviews, comparison articles, how-to guides. If AI just scrapes and summarizes, those sites lose ad revenue and affiliate commissions. Fewer creators means less fresh, real-world data for the AI to train on. It's a feedback loop that could collapse.

google's ad business is massive, sure, but a lot of their revenue still comes from AdSense on third-party sites. if those sites die, Google loses a chunk too. and where does the AI get its training data 5 years from now if humans stop producing it?

i think the solution has to be some kind of revenue sharing or licensing model-pay creators directly for their content used in AI answers. otherwise we're all just feeding the machine that's going to eat us.

What's the play here? Anyone else thinking about this from a mobile acquisition angle?

conversionninja

absolutely, without question.

seo-prog-luke

ChatGPT already started serving ads a few months back. Search itself will change, but Google will just route ad revenue into that space. the real question is whether we start building websites and apps directly into LLM platforms, treating those as the new organic. Hard to make clear calls right now. Everything's moving too fast.

marcuthread

That's the elephant in the room nobody wants to talk about. The whole AI boom is basically a money furnace - energy, chips, cooling, all of it scales way faster than any ad revenue or subscription box can keep up. And the worst part? Every new model needs twice the compute to get half the accuracy improvement. Google's shoving AI into search like it's a magic bullet, but the unit economics are f*cked. Run the numbers: the electricity bill for a single query is orders of magnitude higher than the ad impression it'll show. They're betting on ecosystem lock-in, but that's a bet that only pays off if the rest of the market doesn't undercut them. So far, the only ones winning are the chipmakers and the power grids. It's like watching a poker game where everyone's all-in on a hand that hasn't even been dealt yet.

davidsearch

The incentive model for content is definitely shifting under AI search. What I'm seeing is that pure information queries are getting siphoned off, which tanks traffic and hurts CPCs for anyone monetizing with ads. The smart move is creators pivoting to niche, service-oriented stuff that AI can't easily replicate. That's where the high-intent searches and valuable clicks remain. the real problem is the revenue share. If Google doesn't figure out a licensing or payment structure that keeps these publishers alive, the pool of quality content dries up. No content means fewer users, which means fewer searches and a weaker ad auction. Bad for everyone's CPA

logan-lifecycle

someone in the thread is looking at the wrong node. The real trigger in their ecosystem isn't AdSense on random sites. the bulk of the ad revenue comes from the integrated search ad network, YouTube, Gmail, and the app inventory. AdSense on third-party sites is a minor branch, something like 5% of the total. The system is built to monetize attention at multiple touchpoints, so even if traditional web search traffic drops, the logic branches into other monetization channels. They've already engineered that win-back path.

adcraft

Might be, but the real threat isn't ChatGPT. Google's still winning the AI race by a mile-they've got the data, the infrastructure, and the distribution. The question is whether they'll cannibalize their own ad model before someone else does. Right now, they're playing it safe, and that's where the risk is.

logan-lifecycle

The real issue isn't AI search itself-it's the incentive structure. Right now, the web runs on ad impressions and affiliate clicks. AI summaries strip away the need to visit a site, which kills the revenue loop for publishers who depend on that traffic.

the content that survives will be the stuff with a built-in business model: brand-owned content (product pages, support docs) and passion projects where the creator doesn't care about monetization. Everything in the middle-the review sites, the listicles, the how-to guides that actually help people-gets squeezed out because the economics no longer work.

Someone in the thread mentioned that AI makes it cheaper to produce garbage, and that's the real kicker. the barrier to entry for low-effort content drops to zero, so the noise floor rises even higher. Meanwhile, the good stuff retreats behind paywalls or into closed communities. The net effect is a web that's simultaneously more polluted and less accessible.

from a journey perspective, this means the "consideration" and "evaluation" stages get fragmented. Users either trust AI summaries blindly (and miss nuance) or they go straight to paid sources. Either way, the open web loses its role as the middle layer. That's a structural shift, not just a content problem