What this is
The Peer-to-Processor Review is an independent intelligence platform tracking how artificial intelligence is reshaping academic and scholarly publishing. We monitor the deals, partnerships, policies, financial signals, and workforce shifts that are transforming one of the oldest knowledge industries on earth.
The site exists because no single destination was pulling all of this together for the people who need it most — the editors, publishers, librarians, society leaders, university press directors, and edtech professionals navigating this transformation from inside the industry.
We combine automated monitoring with expert editorial judgment. Our data trackers are updated daily. Our commentary is grounded in decades of direct industry experience. We don't do hype. We do signal.
Who writes this
What we track
Our dashboard and data pages monitor six core areas, with more planned:
AI licensing deals
Every publicly announced content licensing agreement between academic publishers and AI companies. Deal values, terms, and context.
AI partnerships
Technology partnerships, integrations, and joint ventures involving AI tools in scholarly publishing workflows.
Publisher AI policies
Publisher-by-publisher tracking of AI usage rules for manuscripts, authorship, and disclosure. Plus funder mandates.
Stock tracker
Real-time financial data for publicly traded companies with significant academic publishing operations.
University press hub
Financial health indicators, AI adoption tracking, leadership changes, and news specific to the university press sector.
Trends & news
Curated daily feed of AI-related developments from across the scholarly publishing ecosystem.
Methodology
Our data comes from publicly available sources. We do not have access to proprietary financial data, internal publisher systems, or confidential deal terms beyond what has been publicly reported.
News and trends are aggregated from a curated set of industry sources including:
- The Scholarly Kitchen (SSP)
- Retraction Watch
- STM Publishing News
- Knowledgespeak
- Inside Higher Ed
- The Bookseller
- Research Information
- Publishers Weekly
- Academic Publishing Weekly (Choice/ACRL)
- KnowledgeWorks Global Blog
Deal and partnership data is compiled from press releases, earnings calls, SEC filings, and news reports. We note "Undisclosed" when financial terms have not been publicly reported and do not speculate on values.
University press financial health indicators are derived from publicly available annual reports, institutional disclosures, AUPresses data, and press announcements. Estimated revenue figures represent our best assessment based on available information and should be treated as approximations.
Stock data is sourced from public market feeds and is delayed by approximately 15 minutes. We do not provide investment advice.
AI policy data is sourced directly from publishers' official policy pages and verified against industry reporting from COPE, ICMJE, and STM Association guidance documents.
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The Peer-to-Processor Review reaches a focused, senior audience of publishing professionals, university press directors, librarians, edtech leaders, and AI company executives interested in the scholarly publishing market. If your product or service serves this community, we'd like to hear from you.
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We'd love to hear from you
Whether you're a publisher with a correction, a reader with a tip, a potential sponsor, or a guest contributor with a pitch — we read everything.