Generative artificial intelligence is already redefining media because it is shifting access to information toward ChatGPT, AI Overviews, AI Mode, and media chatbots. For creators, community managers, and advertisers, the challenge is clear: your content must be readable by humans, citable by AI, and distinctive enough to maintain a direct relationship with the audience.
Generative artificial intelligence: what is really changing for media
Since 2015, I’ve watched media outlets chase Facebook Instant Articles, Instagram Stories, TikTok, YouTube Shorts, and then newsletters. The difference with generative artificial intelligence is that it does more than distribute a link: it synthesizes, rephrases, compares, and can answer before the user even clicks.
Reuters Institute’s Digital News Report 2026 identifies AI chatbots and generative search as a major shift in access to news, alongside social video, creators, and platforms. This is not a newsroom gimmick. It is a new interface between information and the public.
The most telling signal concerns younger audiences: in 2026, 16 % of those under 35 say they use AI chatbots to get informed, according to the Reuters Institute. And among chatbot users, 44 % trust information from these tools, compared with 17 % among non-users. The battle is therefore no longer just about traditional Google search rankings, but about citation, attribution, and trust.
Why the deals between OpenAI and the media are changing the game
Major groups understood this quickly. In 2023, Associated Press and OpenAI announced an agreement allowing OpenAI to license part of AP’s text archives, while AP explored uses of AIGenerative AI in its products and services. However, AP clarified that it does not use generative AI to write its publishable articles. An essential nuance.
In 2024, OpenAI signed several media partnerships: Le Monde and Prisa Media on March 13, News Corp on May 22, and Vox Media on May 29. The News Corp deal covered current and archived content from titles such as The Wall Street Journal, Barron’s, MarketWatch, New York Post, The Times, The Sunday Times, The Sun, and The Australian.
These deals are not just for training models. They also create a visibility channel inside ChatGPT, with journalistic content integrated into responses. For a media outlet, that is a distribution promise. For an independent creator, it is a warning: if your content is not structured, sourced, and identifiable, it risks being absent from the answers that matter.
The French case is telling. OpenAI and Le Monde said in 2024 that their partnership would bring French-language news content into ChatGPT and contribute to model training. In parallel, Prisa Media communicated about a massive Spanish-language audience, with more than 7 million daily unique users and more than 1.65 billion monthly page views, according to figures cited in the announcement. AI platforms are looking for strong media brands. Not interchangeable content.
Creators and advertisers: the concrete impact on content strategy
On the ground, generative artificial intelligence is changing three habits. First, information search is becoming conversational. Second, short formats continue to capture attention, but they are no longer enough to build authority. Finally, advertisers will demand more proof: source, expertise, traceability, usage rights.
A creator who publishes a brilliant TikTok video but without a usable text version loses part of its future value. By contrast, a creator who turns a product test into a video, carousel, newsletter, FAQ page, and indexable transcript becomes much easier to cite, legally repurpose, and integrate into a campaign. It is less glamorous. It is effective.
For brands, the rookie mistake is using AI to produce more without strengthening the point of view. Bad idea. Generic content starts to look the same, and social algorithms already know how to measure indifference: low retention on Reels, poor completion rates on TikTok, weak comments on LinkedIn. In this niche, it is better to publish less, but with field experience, documented testing, a screenshot, and a method.
The same logic applies to influencer campaigns. AI-generated content can speed up scripts, hook variations, or creative briefs, but trust still rests on the creator’s voice. To put this topic back into your 2026 plans, you can read our analysis on measuring influencer marketing at every stage of the customer journey.
Platforms, formats, and uses: where generative AI already matters
Media are not affected in the same way depending on the channel. Google is testing and rolling out generative responses with AI Overviews and AI Mode, while YouTube, LinkedIn and Meta are embedding AI into creation, analysis, or recommendations. Usage is growing quickly: the Reuters Institute indicated in 2025 that weekly use of generative AI tools in six markets had risen from 18 % in 2024 to 34 % in 2025.
On YouTube, AI is not just an editing tool. It is becoming an assistant for understanding performance, particularly with Ask Studio and uses tied to connected TV, a topic we covered in our analysis of AI on YouTube and connected TV. For a video media outlet, this changes the pace of testing: titles, thumbnails, chaptering, long-form content broken into Shorts.
LinkedIn follows a different trajectory. There, AI is used to structure expertise, compare models, generate quotes, and speed up B2B publishing. But honestly, a LinkedIn post that relies too much on AI is easy to spot: polished syntax, lack of examples, formulaic commentary. Our breakdown of AI on LinkedIn and the weight of quotes in 2026 shows why personal authority remains decisive.
| Platform or player | Verified fact | Media and content impact |
|---|---|---|
| Reuters Institute | 16 % of under-35s use AI chatbots for news in 2026 | Younger audiences discover information outside traditional media pages |
| Reuters Institute | Weekly use of generative AI rises from 18 % in 2024 to 34 % in 2025 across six markets | Uses are becoming regular, not just experimental |
| OpenAI and News Corp | Agreement announced in May 2024 covering current and archived content from several titles | Large editorial catalogs are becoming strategic assets |
| OpenAI and AP | Agreement announced in 2023 on part of AP's text archives | Structured archives are gaining value for models |
| UK CMA and Google | In June 2026, a requirement allowing publishers to exclude their content from Google Search AI uses without disappearing from traditional search | Attribution and content control are becoming regulatory issues |
The new rules of visibility: citation, attribution, trust
Visit SEO traditional SEO does not disappear. It becomes more complex. Content must still load quickly, meet an intent, and prove expertise, but it must also be clear enough for an AI to identify the author, date, sources, facts, and angle.
Google announced AI Mode and AI Overviews updates in May 2026, including highlighting links from users’ news subscriptions in certain AI responses. A few weeks later, the UK CMA imposed a conduct requirement on Google Search for publishers: better information on how content is used in generative features, proper attribution, clear links, and the ability to opt out without being removed from traditional search. It is a precedent worth watching.
For a media outlet or a brand, the right question becomes: does your content deserve to be cited rather than merely scanned? An original interview, a documented benchmark, a proprietary study, or a campaign postmortem are more likely to survive in the summarization economy. A page full of generic filler, much less so.
Social platforms are also moving forward on detection and labeling. Meta has been working for several years on AI-generated content, and the issue is becoming sensitive for creators whose image is built on authenticity. To go deeper into this issue, see our article on the detection of AI-generated content at Meta.
Action plan to adapt your content right away
You do not need to turn all your production into an AI lab. Start by making your content more useful, more clearly attributed, and more reusable. The gain often comes from the method, not the tool.
- Add field proof to every strategic piece of content: campaign screenshot, observed result, client quote, limitation encountered.
- Structure your pages with clear headings, a useful FAQ, dates, and named entities when they are relevant.
- Keep a recognizable voice : AI can draft an outline, but your viewpoint and trade-offs must remain visible.
- Recycle intelligently : a Twitch live stream can become Shorts, an article, a newsletter, a LinkedIn carousel, and a podcast script.
- Clarify the rights in your influencer briefs: whether AI use is allowed or not, usage duration, right to modify, attribution.
From the advertiser’s side, I recommend adding a line about “use of generative AI” in every creator brief. Not to control everyone. To avoid misunderstandings about voice, ownership of visuals, and compliance with product claims. From the creator’s side, keep your prompts, versions, and sources for premium collaborations: it reassures serious brands.
The massive investments by web giants in AI confirm that this trend is here to stay. ValueYourNetwork is closely following these changes, especially in our article on Amazon’s and major tech players’ AI investments. But the ground rules remain the same: an audience comes back when it recognizes a voice and a clear value.
ValueYourNetwork has supported brands, creators, and media outlets for years with their social media strategies, influencer campaigns, and adaptation to new formats: whether you are an influencer or an advertiser, contact us to grow your social media presence with a practical, measurable approach.
FAQ on generative artificial intelligence and media
How is generative artificial intelligence transforming the media?
It is transforming access to information by providing summarized answers in chatbots and generative search engines. Media organizations therefore need to think about visibility, attribution, and direct relationships with their audience, not just inbound traffic.
Should content creators use generative AI?
Yes, to speed up research, scripts, variations, and analysis, but not to replace their voice. High-performing content is still content that brings a point of view, evidence, and genuine closeness to the community.
Will generative AI reduce traffic to media websites?
It can reduce some informational clicks if the answer is given directly in the AI interface. On the other hand, exclusive, expert, local, or highly personal content can gain value if it is properly cited and distributed.
How can you make content more visible in AI responses?
Publish structured, dated, well-sourced content with clear entities and identifiable expertise. Overly generic formats are unlikely to become a reference in generative responses.