Outsell’s latest survey finds that peer review looks healthy from the researcher’s side, but the goodwill keeping it afloat rests on a small, overstretched group of reviewers. Meanwhile, AI is reshaping how reviews are written before anyone has agreed the rules.
Silverchair’s Research Bridge helps scholarly publishers distribute content via AI research assistants, but may divert usage from the platforms Silverchair hosts. It highlights a challenge for information services: capturing value from AI distribution without undermining existing business models.
Standards bodies and technology vendors agree on the shape of the deal but not the number. In the absence of a proven formula, breaking out of pilot purgatory takes internal decisions and a tolerance for risk on both sides of the table.
The tracker logs 112 AI announcements in engineering, standards, supply chain and compliance (Oct 2024 to Oct 2026). Each gets one test: does AI remove a workflow stage, or only speed up one that remains? Compression leads two to one; displacement is where reference stops being looked up.
Top 100 sales and marketing tool and service providers delivered a banner year in 2025, growing 9.8% YoY. In 2026, that growth is colliding with a harder reality: AI is reshaping how enterprises buy, build, and staff sales and marketing work, and the old delivery model is no longer a safe bet.
Informa’s purchase of Clarion doubles down on B2B and puts distance between it and competitors. But the long-term win won’t be scale. It will be Clarion’s buyer data and how well Informa turns it into insights and revenue.
Informa’s decision to “separate” Taylor & Francis (T&F) from the rest of the group puts the world’s fifth largest scholarly publisher onto the market. The question of future ownership remains on the table, with no clear potential buyer at this early stage.
Governance, Risk & Compliance reached $79.9B in 2025, up 11%. Workflow software drives 87% of revenue. Growth is led by due diligence, IT risk and AI-driven compliance automation, while platforms such as ServiceNow and SAP gain share and fraud, AML and identity converge.
Copyright awareness has stopped rising just as AI is accelerating the flow of third-party content beyond licensed use. New research reveals where the risk is concentrating, why traditional compliance has reached its limit, and how content owners can build licensing into the tools where work happens.
If your AI strategy is “build a better assistant,” you may be defending the wrong front. New analysis on where publishers can still get paid once customers leave the platform.
Trust in scholarly publishing has eroded — paper mills, fabrication, and high-profile retractions have undermined peer review’s credibility. Research integrity is maturing in response: trust markers shift the model from reactive fraud detection to proactively demonstrating trustworthiness upfront.
Salesforce’s partnership with Anthropic demonstrates how SaaS companies respond to growing SaaSpocalypse concerns while allowing Anthropic to increase its position of strength in enterprises. More importantly, the move shows how data holds the key to drive company value for B2B SaaS brands.
The AI content licensing market has stopped rewarding good negotiators and started rewarding good infrastructure. The corpus sale was a one-off event, and metered access at the moment of use is the new revenue line.
McGraw Hill, Pearson and Cengage’s latest financial results show higher education growth rates splitting apart on AI strategies and business models, while international markets proved problematic for everyone. Investors remain cautious, with all three seeing flat share prices or small declines.
The five largest listed scholarly publishers all grew in H1 2026, but only Wiley’s share price rose. The market isn’t rewarding AI exposure — it’s rewarding AI revenue that recurs, and punishing the kind that doesn’t.
RELX, TR, and WK all grew faster in H1 2026 than a year earlier, despite shares falling sharply on AI disruption fears. Investors are pricing a collapse that is not happening, but the risk is Big Tech AI costs a fraction of incumbents’ tools, but lag only slightly on quality, and keep improving.