Digiday: publishers count AI licensing
- Digiday says publishers are starting to treat AI licensing as a real revenue line, not a side bet, as search referrals and programmatic ads soften. - USA TODAY Co. put numbers on it: “digital other” revenue rose 125.6% to $33.75 million in Q1, helped by Meta and Microsoft deals. - That matters because AI money is arriving just as old web economics weaken, changing what publishers now value in products.
Publishers have spent two years talking about AI mostly as a threat — scraped content, lost search clicks, weird summaries replacing visits. But the picture is starting to split. AI is still a distribution problem for news companies. It is also becoming a revenue line. That shift got clearer in first-quarter earnings, where publishers started pointing to licensing deals as meaningful money rather than experimental upside. (digiday.com) ### What changed this quarter? The cleanest example came from USA TODAY Co., the company formerly known as Gannett. In its April 30, 2026 first-quarter results, total revenue still fell 4% year over year to $548.5 million. But profitability jumped — adjusted EBITDA rose 44.7% to $73.1 million, and net income reached $19.9 million after a loss a year earlier. The interesting part is whe(digiday.com): management said existing AI agreements had a “notable impact” on the quarter. (fool.com) ### Where did the AI money show up? It showed up inside a bucket called “digital other.” That category includes content syndication, affiliate revenue, and AI partnerships and licensing. In Q1, that line grew 125.6% year over year, adding $18.8 million. The quarter’s total for the category was about $33.75 mi(fool.com)fool.com) ### Why does that matter so much? Because this is not arriving in a healthy ad market. Publishers are dealing with weaker referral traffic and continued strain in programmatic advertising — two of the old pillars of digital publishing. So an AI licensing check does more than add revenue. It diversifies revenu(fool.com)framed the mood as cautious but real — not hype, not panic, more like a new line item finally getting big enough to notice. (digiday.com) ### Is this enough to “save” publishing? No — and that is the catch. AI licensing is meaningful, but it is not broad-based salvation. USA TODAY Co. still posted lower total revenue. Management also signaled that Q2 EBITDA growth should be more moderate than Q1 partly because licensing revenue will be lower. So this is lumpy money, not a clean recurring subscription business yet. It hel(digiday.com)eplace the whole model. (msn.com) ### Why are buyers inside newsrooms paying attention? Because the economics change what tools look useful. When traffic is less dependable, novelty matters less than reuse. A publisher will care more about systems that turn one piece of reporting in(msn.com)y, if AI revenue depends on having structured, reusable inventory, the back-end plumbing starts to matter more than flashy front-end experiments. This is an inference from the earnings mix and the Digiday reporting, but it fits the direction of travel. (digiday.com) ### Why USA TODAY Co. specifically? Scale. The company said it reaches 180 million average monthly unique visitors and about 1.4 billion monthly page views across its properties. It also has a huge archive and a national-plus-local content footprint. That makes it a more obvious licensing partner than a smaller publisher with thinner output or messier rights. AI buyers want volume, con(digiday.com)blishers can offer that more easily. (fool.com) ### Does this change the industry’s posture toward AI? A bit. The fight over scraping and attribution is not gone. But publishers now have a stronger reason to separate unauthorized use from paid use. The same companies that want blocking tools and traffic protection also want deal infrastructure — rights management, metadata, archives, packaging, and negotiation leverage. AI is becoming both the leak and the patch. (digiday.com) ### Bottom line? AI licensing is turning from a talking point into a finance line. Not everywhere, and not evenly. But enough that publishers — and the vendors selling to them — now have to think less about AI as a demo and more about AI as monetization plumbing. (digiday.com)