When you open a tab in the morning to check what has changed on the web, you come across three topics at once: an algorithm update, a new European regulatory requirement, and an artificial intelligence tool that promises to replace an entire workflow. Sorting the signal from the noise has become a full-time job.
The news on the web is no longer limited to product launches or fundraising: it now encompasses regulation, content formats, and even the way we access information.
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AI Overviews and clickless search: what changes for web monitoring
Since the massive rollout of AI Overviews by Google, a growing share of queries no longer generates clicks to an external site. You type a question, the answer appears directly on the results page, and you move on.
For media outlets specializing in digital news, the consequence is direct: less organic traffic on monitoring and trend articles. SEO industry analyses document this rise in so-called “zero-click” searches, which particularly affects short informational content.
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Specifically, if we publish an article that answers a simple factual question (“date of implementation of the DSA”, “latest version of a certain framework”), Google can now serve the answer without sending any visitors. Newsrooms that follow web news daily, like Info du Web, must adapt their editorial line towards formats that AI cannot summarize in three lines: long analyses, technical comparisons, field reports.
This change also pushes for a rethink of article structure. Content that provides an original angle or exclusive data retains its visibility. Content that compiles facts already available everywhere gets cannibalized by the AI block at the top of the page.
AI Act and DSA: European regulations redefining online content
The European Union has established two major texts that modify the daily functioning of the web for businesses and publishers.
The Digital Services Act (DSA) imposes transparency obligations on large platforms regarding their recommendation algorithms and content moderation. In practice, this means that the way news circulates on social media is no longer a black box: platforms must explain why certain content is promoted or removed.
The AI Act, on the other hand, targets artificial intelligence systems used in online services. The obligations focus on the transparency of AI-generated content, risk management, and the prohibition of certain profiling practices. For a site that publishes content produced or assisted by generative AI, it will be necessary to clearly indicate the origin of the text or image.
What this changes daily for a web publisher
- Any content generated by AI must be identified as such, under penalty of sanctions. You can no longer publish an article entirely written by a language model without explicit mention.
- Social media recommendation algorithms must be documented. A content creator can now ask why their video has been de-indexed or downgraded.
- Profiling for advertising targeting is more strictly regulated, impacting the advertising revenues of news sites that depend on programmatic advertising.
Reactions vary on this point: some publishers see these obligations as an additional administrative burden, while others view them as a lever to differentiate themselves from automated content farms.
Web trends to follow: short video formats, data, and applied artificial intelligence
Beyond regulation, three underlying trends are currently reshaping web news.
Short video as the dominant information format
Social platforms massively favor video formats of less than one minute. For tech media, this requires condensing an innovation or news into a striking clip. Text does not disappear, but it becomes the support for analysis, not the first contact. Discovery happens through video, while in-depth exploration occurs in articles.
Data exploitation as an editorial advantage
Newsrooms that publish exclusive data (barometers, field surveys, technical benchmarks) retain their traffic despite AI Overviews. Google cannot summarize a complex comparison table or an interactive graphic in three sentences. Producing original data protects better than optimizing keywords.
Generative AI in editorial workflows
Artificial intelligence is increasingly used to accelerate certain steps: transcribing interviews, suggesting titles, extracting data from long documents. The goal is not to replace the writer but to free up time for analysis and fieldwork.
Keeping up with web news without drowning: a concrete sorting method
In the face of the volume of information, we need a filter. Here are the criteria we apply to decide if a news item is worth our attention:
- Does the information change a specific behavior or process (publication, referencing, legal compliance)? If yes, it takes priority.
- Is it a product announcement without a deployment date or technical details? In that case, we wait for the stable version before discussing it.
- Does the topic concern regulation with a near application date? This type of content has a long lifespan and addresses a recurring search.
- Is the innovation testable or observable, or does it remain at the marketing demo stage? We prioritize what can be verified.
This sorting allows us not to chase after every announcement. The value of a web media outlet is measured by what it chooses not to cover as much as by what it publishes.
The web landscape is changing rapidly, but the fundamentals remain the same: verify sources, cross-check data, seek out angles that no one has covered yet. Tools change, regulations pile up, formats evolve. What does not change is the need for a human filter between the raw flow and the reader.