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Reuters President Paul Bascobert on distribution, press freedom, and the value of facts

Today, I am talking to Paul Pascupert, the head of Reuters, the news and information service I have heard undoubtedly. This is part of a special series on Thursday that we run this month to explore how leaders in some of the largest companies in the world make decisions in such a change quickly. You know, Decoder Things.

Reuters is a great company for us to start, because it was present forever. The company was founded in 1851, when the hot technology that allows new media types was the telegraph, and the complete concept of “wire service” was a new idea.

Here, today in 2025, technical driving media has changed more than just little. Distribution in a world full of iPhone and AI Truc devices is a truly different proposal to the media distribution 50 years before the invention of the radio. It is a completely different suggestion now than it was 20 or 30 years ago, in the web 1.0.

There is a lot, and you will hear us in the depth of everything Decoder Topic there. For example, Paul and I spent a lot of time talking about how an ancient Reuters ancient institution could continue to find an audience and success in the current digital media, which is dominated by social platforms. The audience no longer read newspapers anymore, and I am not sure that the next generation of news consumers will visit web sites. So Reuters do a lot of work to make sure that it He can find work and reach new fans.

Decoder Listeners who know our other episodes with media leaders know that I am very curious about how Amnesty International will change the same news. And how large media companies think about licensing their content for artificial intelligence companies, or to litigate with those companies themselves, or even work with them to build new types of products.

Paul had a lot of really interesting ideas here, because Reuters had always had licensed content arrangements, because this is just a wire service. To Paul, this accurately corresponds to a way to think about artificial intelligence training data and AI. I have pushed strongly to get some difficult numbers from it, so I think you will really enjoy the background.

If you want to read more about what we talked about in this episode, check the links below:

Questions or comments about this episode? Hit us in Decoder@theverger.com. We really read every email!

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