News organisations today are living through one of the most sensitive and dangerous moments of transformation since they entered the digital age. The threat is no longer confined to declining advertising revenues or competition from social media platforms; it has extended to the very core of what they possess: their archives and information. With the rise of artificial intelligence models, old journalistic content has become a raw material from which knowledge is extracted, reformulated, and presented to audiences without passing through the institution that produced it, and without any respect for intellectual property rights or the years of work upon which that editorial heritage was built.
What was once regarded as a professional and historical memory has today become a direct target for automated scraping operations. AI development companies collect millions of pages from newspaper archives — including material protected behind paywalls — and use them to train their models without permission or compensation. This unregulated use has created a wide-ranging legal and ethical collision, prompting major newspapers to take unprecedented defensive measures, including blocking the archiving of their websites or preventing robots from accessing their content.
As AI capabilities in summarising and reproducing news expand, the losses of media organisations deepen. They suddenly find themselves outside the economic equation. A reader who receives a ready-made summary or a direct answer from an intelligent model will not visit the original website, will not subscribe to the service, and will not view any advertisements. In this way, the financial return on archives declines, even though for decades they were among the most important sources of added value for newspapers — for researchers, readers, and institutions that rely on them for documentation and verification. More alarming still, some models have become capable of mimicking the editorial style itself, creating a grey area between legitimate quotation and digital plagiarism, and threatening the professional identity of the institution.
Globally, the world's leading media organisations have begun waging open battles to protect their archives from becoming free fuel for AI models. The New York Times filed a landmark lawsuit against OpenAI and Microsoft, accusing them of using millions of articles to train models without permission. Meanwhile, organisations such as The Guardian, CNN, Reuters, and The Washington Post have blocked AI robots from accessing their content. In Europe, media groups such as Axel Springer and Le Monde turned to licensing agreements that guarantee financial compensation in exchange for the use of their archives, while other organisations such as News Corp warned that technology companies are