AI and media: 5 predictions for 2026

America post Staff
3 Min Read



For the past two years, I’ve written predictions for how AI will continue to change the media industry and the business of news in the coming year. Prognosticating is a risky business even at the most tranquil of times, and media’s AI era is anything but: bots are multiplying, newsrooms are shrinking, and new business models always seem to be still developing.

Last year, four of the five predictions I made came true, those being the spread of audio experiences like NotebookLM’s audio overviews, a greater emphasis on content licensing, more “legit” AI-generated content, and publishers doing more with their own summarization and chatbots. I should have probably known my one strike was going to be agents—that was such a buzzword last year that I couldn’t avoid including it, but it turns out there were significant barriers keeping agents outside the mainstream (data privacy and complexity being the main ones).

This time, the task is even more challenging. Many trends, like AI adoption in newsrooms, are further along, which you would think makes their effects easier to predict. But the reality is that the most impactful things happen when those trends slam into realities, such as Cloudflare taking a hard stance against AI ingesting publisher content without compensation or consequence. Who saw that coming?

With all that in mind, here are my predictions for how AI’s presence in media will evolve in the next year:

Despite an ever-growing set of lawsuits, the copyright issue is still largely unresolved. Publishers want compensation for how their content is ingested and used by AI companies, which continue to claim fair use. Sure, there are more licensing deals between the two sides, but the fundamental tension remains.

What’s changed is that more publishers have woken up to what they see as the predations of the AI industry, and they’ve gotten more aggressive at blocking AI crawlers. That prevents AI engines from bringing users the best, most up-to-date data, which makes them less competitive.

This, however, doesn’t apply to Google, because it uses the same crawler for search and AI, and no publisher in their right mind would ever block Google Search. That gives Google a competitive advantage at a time where OpenAI just went into “code red” for fear of falling behind. Similarly, Perplexity is now the target for legal action from both News Corp. and The New York Times for how it summarizes their content.



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