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Unlike smaller players, large publishers are boycotting Google's pilot program that pays for content used in AI answers. They view the small payments as an attempt to set a low-value precedent and are instead using lawsuits and public pressure to negotiate a more substantial, long-term compensation model.

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The financial relationship between AI companies and news publishers will likely be settled by courts, not boardrooms. Campbell Brown predicts that ongoing litigation, like the New York Times vs. OpenAI lawsuit, will be the forcing function that establishes a business model for content ingestion, rather than proactive deal-making.

Facing traffic loss from Google's AI summaries, publishers like Reddit are considering pulling their content. This public threat is likely a strategic move to gain leverage in negotiations for more favorable content licensing deals, rather than a genuine plan to abandon search visibility entirely.

Starting mid-September, Cloudflare will default to blocking Google's AI crawler for its millions of ad-supported publisher sites. This industry-wide technical blockade provides publishers with unprecedented leverage, forcing a showdown with Google over fair compensation for content used in AI models.

This conflict is bigger than business; it’s about societal health. If AI summaries decimate publisher revenues, the result is less investigative journalism and more information power concentrated in a few tech giants, threatening the diverse press that a healthy democracy relies upon.

The NYT's AI strategy is two-pronged: litigation enforces intellectual property rights and sets a legal precedent, while selective licensing deals establish a commercial market. This dual approach aims to control how its content is used and ensure fair compensation from LLM creators.

Disney is simultaneously suing Google for copyright infringement while signing a $1 billion licensing and equity deal with OpenAI for the same activity. This reveals a strategy where litigation is a tool to force AI labs into lucrative partnerships, rewarding the very infringement they are suing over.

Google is paying small publishers for content used in AI Overviews, but the payments are described as "peanuts." The real incentive for these publishers is not the revenue, but the potential to gain rare insights into Google's black-box algorithm and understand what kind of content its AI values.

Google is moving news publishers from its flat-fee "Showcase" program to a new AI pilot that requires broad permissions to use content for model training. This strategic shift pressures publishers, especially smaller ones dependent on Google's funding, to accept terms they are otherwise hesitant about.

While new AI firms are open to licensing deals, Google is the primary holdout because paying for content would upend its legacy business model. This creates a market-wide standoff, as competitors like OpenAI and Anthropic state they will only pay for content once Google, the market leader, does.

Unlike Google Search, which drove traffic, AI tools like Perplexity summarize content directly, destroying publisher business models. This forces companies like the New York Times to take a hardline stance and demand direct, substantial licensing fees. Perplexity's actions are thus accelerating the shift to a content licensing model for all AI companies.