[By Tomas Forsbäck]
Generative AI is changing how people discover information, and that change directly affects how advertising works and what it is worth. When AI answers questions without sending users to websites, the traffic, context, and signals that advertisers depend on disappear. This puts pressure on publishers’ revenue and reduces the effectiveness of generic ad buys. Companies that adapt by prioritizing trusted content, known audiences, and meaningful engagement will protect their economics, while those that rely on volume and undifferentiated inventory will see returns decline.
Takeaways
Generic inventory is losing value fast. As AI resolves intent upstream, impressions without context or audience insight can no longer command premium pricing or reliable performance.
Context now drives results. Publishers that focus on specialized, trusted content can turn fewer impressions into stronger outcomes by making editorial environments themselves the differentiator.
Engagement replaces the click. Native formats and attention-based metrics like time spent and brand recall matter more than exits in an AI-shaped discovery environment.
AI is killing generic ad inventory
For years, the open web has weathered a steady assault: margin compression from programmatic advertising, the slow erosion of third-party cookies, and the gravitational pull of walled gardens. These threats have long been treated as a prolonged siege. But the arrival of generative AI has changed the pace and nature of disruption. AI is an accelerant, rapidly collapsing the scaffolding that made generic, undifferentiated open-web advertising viable in the first place. AI-generated answers and zero-click search results are damaging referral traffic. But the real danger lies deeper: in how AI is removing the very context that gave programmatic inventory its value.
AI strips away the web’s advertising infrastructure
The open web’s advertising model has historically rested on three pillars: editorial context, user intent, and cross-site behavioral data. Each of these is under direct assault.
When a user receives an answer from an AI overview or an LLM interface, the query’s intent is resolved without a click. That eliminates the high-signal intent advertisers once captured at the moment of search. Because the user no longer lands on the publisher’s page, the editorial context that shaped ad relevance also disappears. And as AI-driven interfaces become more dominant, they increasingly wall off data collection pathways, weakening the behavioral insights advertisers rely on to target across sites.
The result is a widening gap between question and answer that used to be bridged by publisher content. That bridge is crumbling. And with it, the foundation for generic ad inventory is disappearing. What’s left are impressions that are cheap, decontextualized, and hard to differentiate.
This collapse has been a long time coming. But AI is accelerating the timeline.
The yield model is exposed
The traditional programmatic yield model, built on high-volume, low-context impressions, is looking increasingly brittle in an environment that favors accountable outcomes.
Consider a generic article on economic trends: once a magnet for financial services advertisers, now overshadowed by AI-generated summaries that resolve the same user intent without requiring a visit.
Without context or audience insight, what remains is inventory that can’t justify a premium and no longer performs at scale. This is more than a traffic problem. It is a signal problem. And it highlights how fragile impression-based ad models can be without attributional value, relevant traffic, or meaningful engagement to support them.
A clarifying moment
But this moment also creates clarity. AI is stripping out the ambient, low-value noise. It’s revealing where the real value lies, and where it doesn’t.
The open web isn’t doomed. But it is being forced to evolve. Content consumption is becoming more transactional. That calls for a different mindset focused less on chasing eyeballs and more on creating environments with meaningful attention.
Three ways to pivot away from chasing lost traffic
Publishers should stop competing for vanishing clicks and instead focus on creating environments where context and engagement give each impression intrinsic value. That pivot involves three shifts:
1. Re-establish editorial context as a premium asset
2. Cultivate unique audience value beyond PII
The era of anonymous behavioral targeting is fading. Publishers must prioritize first-party relationships by building logged-in user bases, facilitating premium content subscriptions, and offering exclusive experiences. These relationships generate high-quality, consented data, replacing brittle cross-site tracking with known audience insights. In a post-cookie, AI-driven world, advertisers will seek precision, not scale. Publishers who deepen engagement with known users will create defensible ad products based on real affinity, not inferred behavior.
3. Innovate beyond the click-dependent format
As click-through rates decline, ad formats need to deliver value without relying on user exit behavior. That means emphasizing mid-funnel influence: attention, engagement, and brand lift. Native formats, like in-feed content, interactive quizzes, or high-completion video, are designed to integrate seamlessly into trusted editorial environments. These formats still value the click but place greater importance on reaching the right audience and measuring meaningful engagement through time spent, scroll depth, and brand recall within context-rich environments.
AI isn’t killing all advertising
AI isn’t killing all advertising. It’s killing the kind that never worked well to begin with; inventory that was undifferentiated, interruptive, and hard to tie to outcomes.
What remains is content with a spine. Environments that reflect editorial intent. Formats that deliver engagement metrics beyond mere impressions. Context that drives attention and earns trust.
Premium publishers who double down on unique content, deep audience relationships, and native formats are doing more than surviving the AI wave. They’re standing apart. And platforms that help advertisers activate native content in high-quality environments offer a path forward based on meaningful, measurable connection.