Observed Signal · May 29, 2026 · Licensing · Source: Digiday · Impact: 3/5 · Sentiment: Positive
Publishers Land Six-Figure AI Licensing Deals via Snowflake
Publishers including The Washington Post, Associated Press, People Inc. and USA Today Network are using Snowflake’s Cortex Knowledge Extensions to license paywalled and proprietary journalism to enterprise customers for retrieval-augmented generation (RAG) use cases. Snowflake positions Cortex as a way for enterprises to query publisher archives inside its secure AI environment without exposing raw feeds or allowing content to be scraped for model training. The company says several "six-figure" deals have been signed with financial institutions, structured as flat-fee or usage-based licenses often paid from existing Snowflake spending commitments. Snowflake does not take a revenue share on content licensing and earns from storage/compute when AI queries run. The move sits alongside Snowflake’s $6 billion, five-year AWS infrastructure commitment and reflects growing demand for trusted external signals in enterprise AI workflows.
New licensing channel for publishers and enterprises using RAG within a major cloud/data platform could create a repeatable revenue stream and affect how publisher content is consumed by enterprise AI, but it is currently nascent and incremental.
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Key Takeaways & Evidence Grounding
- Snowflake offers Cortex Knowledge Extensions to let enterprises query publisher content for RAG inside Snowflake’s AI environment.
- Seventeen publishers have signed on to use the product; named publishers include The Washington Post, Associated Press (AP), People Inc., and USA Today Network.
- Snowflake says publishers have signed several "six-figure deals" with financial institutions via Cortex, using flat-fee or usage-based contracts.
- Snowflake does not take a revenue share on those media licensing deals; it monetizes storage and compute when AI queries run.
- Snowflake agreed to spend $6 billion over five years on Amazon Web Services’ custom chips and AI infrastructure.
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Snowflake Expands Intelligence and Cortex Code
Snowflake announced major updates to Snowflake Intelligence and Cortex Code to position its platform as the control plane for the agentic enterprise. Snowflake Intelligence is extended as a personalized, context-aware work agent for business users with features such as natural-language 'Skills', Model Context Protocol (MCP) connectors to enterprise tools, an iOS mobile app (public preview), multi-step 'deep research' reports, personalization, and reusable 'Artifacts'. Cortex Code is expanded as a builder layer with broader data-system support (AWS Glue, Databricks, Postgres), integrations to other AI systems via MCP and Agent Communication Protocol (ACP), a VS Code extension (private preview), a Claude Code plugin, an Agent SDK (Python and TypeScript), and Cloud Agents in Snowsight (private preview). Snowflake cites more than 9,100 weekly users of its AI products and customers including Capita, Logitech, Telenav, United Rentals and Wolfspeed moving AI into production on its governed data platform.
Snowflake and OpenAI Unite to Revolutionize Enterprise AI
OpenAI and Snowflake announced a multi-year, $200 million partnership to integrate OpenAI’s frontier models directly into Snowflake’s data and AI platform. The agreement makes OpenAI a key model capability within Snowflake products such as Snowflake Cortex AI and Snowflake Intelligence, enabling customers to call models like GPT-5.2 from SQL, build AI agents grounded in enterprise data, and surface natural-language insights without code. Snowflake will continue using ChatGPT Enterprise internally and will collaborate with OpenAI on features that leverage the OpenAI Apps SDK, AgentKit, and related APIs. The release highlights customer use cases (Canva, WHOOP) and lists other enterprise customers that use Snowflake. The companies position the integration as accelerating secure, governed enterprise AI adoption across industries.
People Inc.: AI Licensing Boom, Revenue Still Lagging
People Inc. chief innovation officer Jon Roberts told a Digiday Publishing Summit audience that an influx of AI content-licensing marketplaces presents significant opportunities for publishers but has not yet produced large-scale revenue. People Inc. has multi-year, broad-access licensing deals with OpenAI and Meta and a pay-per-use arrangement with Microsoft. The company uses strict bot-blocking (allowing only permissioned crawlers) to protect content and is selectively permitting access to better understand marketplace economics. Roberts said publishers are collaborating on standards (IAB Tech Lab’s Content Monetization Protocols, Really Simple Licensing) and experimenting with compensation models such as "pay by demonstrated value". He also flagged cloud platforms (Azure, AWS, Google Cloud) as logical homes for such marketplaces.
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