Academic Publishers Adapt to AI and Funding Cuts

Tuesday, Jun 10, 2025 1:19 am ET2min read

Academic publishers are signing deals with AI companies to carve out a new revenue stream as US research funding cuts dim their outlook. Informa Plc's Taylor & Francis signed a $10 million deal with Microsoft, while Bloomsbury Publishing Plc and John Wiley & Sons Inc. announced partnerships with Amazon Web Services and Perplexity. These deals could offset the impact of US funding cuts, with 11% of Taylor & Francis' subscription revenues at risk.

Academic publishers are pivoting towards AI licensing deals to bolster their revenue streams in the face of looming US research funding cuts. Informa Plc's Taylor & Francis and Bloomsbury Publishing Plc have signed significant deals with tech giants, while John Wiley & Sons Inc. is also exploring partnerships. These strategic moves aim to offset the financial impact of reduced government funding.

Taylor & Francis, a leading academic publisher, has inked a $10 million deal with Microsoft, marking a significant step in leveraging AI technology to generate new revenue streams [1]. The agreement allows Microsoft to access Taylor & Francis' vast library of academic content for AI training, potentially offsetting the 11% of subscription revenues at risk due to US funding cuts.

Similarly, Bloomsbury Publishing Plc has partnered with Amazon Web Services, while John Wiley & Sons Inc. is exploring a deal with Perplexity, another AI company. These partnerships aim to monetize the extensive copyrighted text libraries controlled by these publishers, providing a new source of income [2].

The trend of academic publishers securing AI licensing deals mirrors that of other media sectors, including music and news publishers, which are actively pursuing compensation for AI training data. The music industry, for instance, is pushing for AI firms to implement fingerprinting technology to track usage and ensure artists are paid [3]. News organizations like The New York Times have also signed deals with AI companies, viewing these arrangements as a way to generate profits [4].

However, the academic publishing industry faces unique challenges. Unlike music and news publishers, academic publishers often operate on a model where authors and peer reviewers work for free, with the middleman capturing the value [5]. This model is under scrutiny, as authors and publishers seek fair compensation for their intellectual property.

The UK government's commitment to AI infrastructure investment, including a £1 billion ($1.36bn) pledge, underscores the global push for AI development and its potential to create new economic opportunities [6]. While academic publishers navigate this shift, they must also consider the environmental and ethical implications of AI, including its impact on data privacy and the spread of misinformation [7].

In conclusion, academic publishers are adopting AI licensing deals to mitigate the financial impact of US research funding cuts. These partnerships not only provide new revenue streams but also align with the broader trend of media sectors leveraging AI technology. As the industry evolves, publishers must balance the potential benefits of AI with the need to protect intellectual property and ensure fair compensation for authors and peer reviewers.

References:
[1] https://thenewpublishingstandard.com/2025/06/04/ai-licensing-deals-heat-up-but-trade-book-publishers-risk-falling-behind/
[2] https://afrotech.com/op-ed-ai-companies-should-pay-media-for-their-content
[3] https://www.linkedin.com/posts/joseantoniobowen_major-record-labels-are-reportedly-in-licensing-activity-7335767086893285378-yuaM
[4] https://www.facebook.com/askpstudyinaustralia/posts/academic-publishing-is-the-only-industry-where-everyone-works-for-free-except-th/1154912013320329/
[5] https://www.datacenterdynamics.com/en/news/uk-pledges-1-billion-ai-compute-investment-nscale-plans-to-deploy-10000-nvidia-gpus/
[6] https://www.barchart.com/story/news/32757762/want-to-invest-in-sovereign-ai-this-1-hidden-gem-stock-could-be-a-better-buy-than-nvidia

Academic Publishers Adapt to AI and Funding Cuts

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