Wikipedia has inked major AI firms, including Microsoft, Meta and Amazon, to high-priority data access deals. The Wikimedia Foundation's commercial subsidiary, Wikimedia Enterprise, offers faster and more voluminous API access to its vast 65 million articles for a fee.
The agreements bring the total number of major tech companies that have partnered with the foundation's paid program to six, following Google in 2022. Smaller firms such as Ecosia, Nomic, Pleias, ProRata and Reef Media also participate.
Lane Becker, president of Wikimedia Enterprise, explained that Wikipedia content is "a critical component" for big tech companies' work, but needs financial support. The foundation has been exploring how to monetize its data without compromising its free ethos.
The push for paid access comes as infrastructure costs have risen sharply due to the increasing demand from AI developers who scrap Wikipedia content in large volumes. In April last year, bandwidth used for multimedia downloads grew by 50 per cent since January 2024, largely driven by bots. The foundation also reported a fall of around eight per cent in human traffic to its site over the past year.
In response, Wikipedia introduced new measures to detect and block automated scrapers, which has led to a decline in website visitors. However, founder Jimmy Wales welcomed AI models training on Wikipedia data, but said big tech companies should pay for their fair share of the costs incurred by maintaining the platform.
Wikipedia's revenue from its paid program will help offset infrastructure costs, which are largely funded by small donations. The deals demonstrate the growing importance of the foundation's content in the development of artificial intelligence models.
The agreements bring the total number of major tech companies that have partnered with the foundation's paid program to six, following Google in 2022. Smaller firms such as Ecosia, Nomic, Pleias, ProRata and Reef Media also participate.
Lane Becker, president of Wikimedia Enterprise, explained that Wikipedia content is "a critical component" for big tech companies' work, but needs financial support. The foundation has been exploring how to monetize its data without compromising its free ethos.
The push for paid access comes as infrastructure costs have risen sharply due to the increasing demand from AI developers who scrap Wikipedia content in large volumes. In April last year, bandwidth used for multimedia downloads grew by 50 per cent since January 2024, largely driven by bots. The foundation also reported a fall of around eight per cent in human traffic to its site over the past year.
In response, Wikipedia introduced new measures to detect and block automated scrapers, which has led to a decline in website visitors. However, founder Jimmy Wales welcomed AI models training on Wikipedia data, but said big tech companies should pay for their fair share of the costs incurred by maintaining the platform.
Wikipedia's revenue from its paid program will help offset infrastructure costs, which are largely funded by small donations. The deals demonstrate the growing importance of the foundation's content in the development of artificial intelligence models.