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Media's AI Pivot
7SEP

Reach signs AWS pay-per-usage AI licensing deal

5 min read
12:32UTC

Reach plc became the first major UK regional publisher to disclose a usage-based AI licensing deal, agreeing pay-per-usage terms with Amazon Web Services as Q1 group revenue fell 6.9% and digital revenue dropped 8.1%.

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Key takeaway

Reach's AWS pay-per-usage deal is the only AI licensing template the long tail of publishers can actually access.

Reach plc, owner of the Daily Mirror, Daily Express and more than 100 UK regional titles, disclosed in its April 2026 trading update that it had agreed an AI content licensing deal with Amazon Web Services structured on a pay-per-usage model rather than a lump sum⁠1. The same statement disclosed active discussions with several other tech platforms on similar terms, alongside Q1 group revenue down 6.9% and digital revenue down 8.1% year-on-year⁠2.

Reach's commercial licence is separate from the Bartz book-piracy settlement, in which News Corp's HarperCollins expects a share. The $1.5bn covers the whole class fund. Pay-per-usage scales down rather than up: small payments, prospective rather than retrospective, paid against measured query volume into Amazon's Rufus assistant and adjacent products. The CJL April 2026 mapping put comparable AI licensing deals on the same scale, with DotDash Meredith at $16m a year from OpenAI, Thomson Reuters at $33m year-to-date, and Amazon paying The New York Times roughly $20m a year⁠3.

The model is structurally identical to the early ad-network rev-share deals that built the open programmatic web in the late 2000s, and which subsequently disintermediated those same publishers as platform integration deepened. Revenue tracks query volume rather than damages, which makes Reach's upside contingent on Amazon's product trajectory: if Rufus and adjacent surfaces grow share, Reach's revenue scales with them; if they stall, Reach is exposed to platform-side risk it does not control. The CFO disclosure of "active discussions with several other tech platforms" on similar terms suggests Reach is hedging that platform risk by spreading across counterparties before any one of them locks the rate card.

The Bartz recovery does not establish which commercial models Reach or other publishers can negotiate. Microsoft's Publisher Content Marketplace, launched February 2026, takes a 15-50% broker cut that mid-tier publishers can avoid by negotiating direct usage terms. Whether usage-based revenue offsets the 8.1% digital revenue decline disclosed in the same statement will only be testable when Reach's H1 2026 numbers land. The first publicly itemised pay-per-usage line in a published-company set of accounts will set the floor for every subsequent mid-tier negotiation in Europe.

Deep Analysis

In plain English

Reach is the company behind the Daily Mirror, the Daily Express, and over a hundred local newspapers across the UK. Like most print publishers, it has been losing advertising revenue for years as businesses shifted their spending to Google and social media. The deal with Amazon Web Services means Amazon pays Reach every time Amazon's AI systems use Reach's articles, scaled to how often those articles are actually used. The reason this is a different model from News Corp's deal is that Reach does not have the same kind of leverage. News Corp could credibly threaten to sue Anthropic for hundreds of millions and win; Reach has a bigger content archive but no equivalent legal threat. So instead of a large upfront payment, Reach gets a running payment that depends on how much Amazon's AI actually uses its content: more usage, more money. Less usage, less.

Deep Analysis
Root Causes

Reach's digital advertising revenue decline of 8.1% year-on-year reflects the structural reallocation of UK display advertising spend toward Google and Meta's walled-garden inventory. Reach cannot recover that revenue through subscription growth because its regional and national tabloid content has historically been free or near-free; the consumer price elasticity is structurally different from a premium business title like the Wall Street Journal.

The AWS deal emerges from this constraint: Reach has content volume (100+ titles, deep regional archives) but lacks the premium content scarcity that makes a lump-sum settlement like News Corp's viable.

AWS chose a pay-per-usage model because Reach's regional content is training-data utility rather than substitution-risk liability: a chatbot trained on Reach's Hull Daily Mail archive does not substitute for a paid Wall Street Journal subscription in the way Anthropic's scraping of News Corp content did. The pricing structure reflects this asymmetry in content leverage.

What could happen next?
  • Precedent

    The pay-per-usage template, if replicated across UK regional publisher groups, creates a standardised mid-tier licensing model that small publishers can access without litigation capacity — but at rates well below the lump-sum benchmark set by News Corp at {{EVREF:event-0}}.

    Short term · 0.75
  • Risk

    Without independent audit rights, pay-per-usage models expose publishers to systematic under-reporting of consumption by AI companies — a monitoring problem that is technically and contractually complex to resolve.

    Medium term · 0.7
  • Consequence

    Microsoft's Publisher Content Marketplace, launched February 2026, is the broker version of the same template: by intermediating dozens of mid-tier publishers, it reduces the per-publisher negotiating position while capturing platform margin on the aggregate volume.

    Immediate · 0.8
First Reported In

Update #1 · News Corp expects share of AI class settlement

Center for Journalism & Liberty / Open Markets Institute· 10 May 2026
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This Event
Reach signs AWS pay-per-usage AI licensing deal
Pay-per-usage is the only AI licensing template the long tail of publishers can actually access; whether it generates material revenue at mid-tier scale will be the first hard test of the publisher-AI commercial geometry below tier one.
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Written with AI from Lowdown's published reporting. Not individually reviewed by an editor. Editorial standards.