The news: Meta is back in discussions with major publishers, including Fox Corp., News Corp., and Axel Springer (our parent company) about licensing articles for use in its AI products, per the Wall Street Journal.

• The talks signal a reversal from Meta’s 2022 retreat from news payments, when it scrapped deals once worth tens of millions annually to outlets like the New York Times and Washington Post. Meta’s deprioritization of news sent traffic plummeting for many publishers, though some have reported modest recoveries.
• Still, AI products like Google’s AI Overviews, which surface synthesized answers instead of directing clicks, have intensified the urgency for licensing deals and led to lawsuits. Publishers are now experimenting with defensive measures, like Cloudflare's recently updated default settings to block AI crawlers unless they pay.

Competitors move faster: Meta has only cautiously stepped back into licensing, striking a deal with Reuters in 2024. Rivals have been far more aggressive: OpenAI has signed agreements with News Corp., Axel Springer, and Dotdash Meredith (now People Inc.), Amazon cut a deal with the New York Times earlier this year, and Google is seeking licensing deals as well.

Seeking stronger terms: At the same time, Reddit is pressing for better licensing arrangements with Google. More than a year after its reported $60 million deal with the search giant, the platform is negotiating a broader partnership designed to funnel more referral traffic back into Reddit’s community ecosystem. Executives are pushing for dynamic pricing, with payouts rising in line with Reddit’s growing importance to AI-generated answers.

Reddit’s leverage is clear: In an internet flooded with algorithmic filler, its human-authored, community-validated content remains highly prized training data. Current contracts with Google and OpenAI, worth a combined $203 million over two to three years, are still viewed internally as undervaluing Reddit’s contributions, Bloomberg reports.

Why it matters:

• For marketers, licensed integrations could enrich AI environments for contextual advertising and targeting. But the risk is deeper consolidation: Discovery happens inside walled gardens where platforms, not brands, dictate access.
• For publishers, licensing deals offer short-term revenues and validation but may train users to stay inside AI summaries rather than clicking through. Without traffic guarantees, even lucrative deals could weaken the very business models they are meant to support.

Our take: Meta’s renewed interest in licensing and Reddit’s harder line with Google highlight a broader scramble to define the economics of AI-era content. Platforms want credibility and high-quality training data; publishers and communities want fair compensation and sustained audience pipelines.

The open question is whether cash payments alone can offset the loss of referral traffic. For marketers, the shift underscores a near-term future where AI-driven answers, not search results or social feeds, increasingly dictate how consumers encounter content.