Wikipedia strikes AI partnerships with Microsoft, Meta, and Amazon to sustain operations

Reviewed byNidhi Govil

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The Wikimedia Foundation announced licensing deals with Microsoft, Meta, Amazon, Perplexity, and Mistral AI, expanding its effort to charge major tech companies for using Wikipedia content to train AI models. The deals through Wikimedia Enterprise provide paid API access to Wikipedia's 65 million articles, helping offset rising infrastructure costs driven by AI data scraping.

Wikipedia Secures Major AI Partnerships to Address Rising Costs

The Wikimedia Foundation announced licensing deals with AI firms including Microsoft, Meta, Amazon, Perplexity, and Mistral AI as part of Wikipedia's 25th anniversary celebration. These AI partnerships expand the foundation's effort to charge major tech companies for using Wikipedia content to train AI models that power chatbots like Microsoft Copilot and OpenAI's ChatGPT

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. While these companies previously scraped Wikipedia without permission, most major AI developers have now signed on to the foundation's Wikimedia Enterprise program, a commercial subsidiary launched in 2021 that sells paid API access to Wikipedia's 65 million articles at higher speeds and volumes than the free public APIs provide

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Source: Engadget

Source: Engadget

Enterprise Access to Wikipedia Offers Tailored Solutions

Wikimedia Enterprise provides a version of Wikipedia "tuned" for commercial use and AI companies, according to Lane Becker, the Wikimedia Foundation's senior director of earned revenue. "We take feature requests, we build features and functionality, and sort of try to structure the data in ways that support what these companies' needs are," Becker told The Verge

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. The new partners join Google, which signed a deal with Wikimedia Enterprise in 2022, as well as smaller companies like Ecosia, Nomic, Pleias, ProRata, and Reef Media

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. Under these licensing deals with AI firms, companies receive access to high-throughput APIs that can supply chatbot systems with content from Wikipedia as well as Wikimedia's other projects, including Wikivoyage, Wikibooks, and Wikiquote

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Rising Infrastructure Costs Drive New Revenue Stream for Wikipedia

The push for paid licensing follows years of rising infrastructure costs as AI companies scraped Wikipedia content at an industrial scale. In April 2025, the foundation reported that bandwidth used for downloading multimedia content had grown 50 percent since January 2024, with bots accounting for 65 percent of the most expensive requests to core infrastructure despite making up just 35 percent of total pageviews

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. Data scraping by large language models has driven up server demand and costs at the non-profit, whose primary source of income is small donations from the public

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. The revenue from these deals helps offset infrastructure costs for the nonprofit while watching its content become a staple of training data for generative AI models.

Source: Reuters

Source: Reuters

Traffic Decline Threatens Wikipedia's Sustainability Model

By October, the Wikimedia Foundation disclosed that human traffic to Wikipedia had fallen approximately 8 percent year over year after the organization updated its bot-detection systems and discovered that much of what appeared to be human visitors were actually automated scrapers built to evade detection

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. The traffic decline threatens the feedback loop that has sustained Wikipedia for a quarter century: Readers visit, some become editors or donors, and the content improves. Many AI chatbots and search engine summaries now answer questions using Wikipedia content to train AI without sending users to the site itself. "It is in every AI company's best interest to support the long-term sustainability of Wikipedia, because Wikipedia and all the other projects that we support are so core to their business," Becker explained

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Source: Ars Technica

Source: Ars Technica

Tech Giants Recognize Need to Sustain Wikipedia's Operations

Wikipedia content is crucial to AI content training—its 65 million articles across over 300 languages are a key part of training data for generative AI chatbots and assistants developed by tech majors

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. "Wikipedia is a critical component of these tech companies' work that they need to figure out how to support financially," Lane Becker, president of Wikimedia Enterprise, told Reuters. "It took us a little while to understand the right set of features and functionality to offer if we're going to move these companies from our free platform to a commercial platform... but all our Big Tech partners really see the need for them to commit to sustaining Wikipedia's work"

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. Microsoft's Corporate Vice President Tim Frank stated, "Access to high‑quality, trustworthy information is at the heart of how we think about the future of AI at Microsoft... we're helping create a sustainable content ecosystem for the AI internet, where contributors are valued"

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Wikipedia Founder Supports Paid Access for AI Training

Wikipedia founder Jimmy Wales told The Associated Press that he welcomes AI models training on Wikipedia data. "I'm very happy personally that AI models are training on Wikipedia data because it's human curated," Wales said. "I wouldn't really want to use an AI that's trained only on X, you know, like a very angry AI." But he drew a line at free access: "You should probably chip in and pay for your fair share of the cost that you're putting on us"

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. The foundation did not disclose the financial terms of the deals. Wikipedia's content is created and maintained by about 250,000 volunteer editors globally, who write, edit and fact-check the information

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. Today, Wikipedia remains among the top-ten most-visited websites globally, where audiences view more than 65 million articles in over 300 languages, nearly 15 billion times per month

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