Detailed Narrative
The Two-Engine Flywheel: Research Feeding AI, AI Accelerating Research
Management framed Wiley around two reinforcing growth engines: research publishing (the durable, mid-single-digit foundation built on scale and society relationships) and AI/data analytics (the emerging engine layering research intelligence services over the same proprietary content). The moat is depth in AI-relevant domains: leading positions in 150-plus disease areas in life sciences and healthcare, over 100 chemistry areas including one of the world's most comprehensive spectral database collections, 50-plus areas each in engineering and material science, 48 agriculture and food-science topics, and — with Emerald — top-1-or-2 positions in key areas of economics, business, and finance. Beyond articles, Wiley holds structured metadata, validated research protocols, peer-review signals, citation networks, and author/institutional relationships. More than 14,000 new peer-reviewed articles are published industry-wide every day, and management stressed a capital-light, AI-first, platform-agnostic partnering model that avoids defending legacy platforms while creating network effects.
Research Momentum and Society Partnerships
Research is taking share, with large-scale, high-quality publishers gaining at the industry's expense. The society ecosystem of 600-plus partners delivered a landmark signing of the American Society of Mechanical Engineers — which had self-published for nearly 150 years — and a renewal of the 30-year American Cancer Society partnership. The flagship Advanced journal collection was praised by an industry newsletter as 'quietly building an enviable portfolio.' The research exchange platform landed its first external publisher client in Liverpool University Press, which will use it to modernize workflows and scale its journals; management sees a meaningful market in migrating additional smaller publishers facing the same pressures onto the platform, and a full launch is planned for fiscal 2027.
Emerald: Largest Acquisition Since 2007
The all-cash Emerald Publishing acquisition is a scale play in high-margin, recurring research publishing and a content play for AI. It makes Wiley a powerhouse in the social sciences — economics, business, finance and related fields — expanding the combined portfolio to roughly 2,500 journals with leading positions across all key publishing areas. Prospective AI customers for the acquired content include financial services firms, consultancies, and business schools. Management emphasized integration confidence: Emerald's operating model (journal publishing, content licensing, recurring institutional revenue) mirrors Wiley's own, the integration draws on a proven playbook, and the research exchange platform is purpose-built to onboard journal assets quickly. Emerald is described as UK-based, mission-driven, and a strong cultural fit with performance-aligned incentives.
AI and Data Analytics: From Content Access to Intelligence
Management laid out three organic AI growth vectors, each with its own path and large addressable markets: database solutions (in-demand proprietary data sets like clinical outcome assessments), applied research intelligence (a synthesis-first platform embedding Wiley content in corporate R&D workflows, moving up the value chain), and audience monetization (scaling data assets and reach into an analytics and ad-tech platform), with a fuller readout promised at a fiscal 2027 Investor Day. The healthcare AI ecosystem built through the year: the AWS Life Sciences partnership at the start of FY26, becoming the first publisher on Anthropic's Claude for Life Sciences in July, the IQVIA clinical outcome assessment partnership in November, and March agreements with Open Evidence and Microsoft. Wiley and IQVIA co-hosted a two-day AI summit with senior leaders from Novo Nordisk, Microsoft, Amazon, Salesforce, the American Heart Association, and Johns Hopkins University. Management is also monitoring IP copyright court decisions expected in the coming months⏳, which it believes will further validate the value of its content.
Cost Discipline and Tech Transformation
Three workstreams drive the cost agenda: tech transformation (the largest multiyear savings driver — consolidating facilities, retiring technical debt, and the Virtusa partnership), corporate cost structure (streamlining shared services across finance, operations, HR, and marketing), and AI productivity (initiatives in legal, marketing, and content operations, plus a new AI Center of Excellence). Over two years, adjusted EBITDA margin and adjusted operating margin have expanded 340 and 560 basis points respectively, share repurchases have more than doubled, and return on invested capital is described as substantially higher. Virtusa spans all three tech priorities — operational efficiencies, enterprise modernization, and freeing capital for product innovation.
Learning: Stabilization Actions and Improvement Drivers
Learning faced market-related challenges all year — Amazon's inventory practices (which began in August 2025 and will weigh on year-over-year comparisons until lapped this August), softer print, and consumer/corporate spending headwinds in professional publishing and assessments. Management responded by taking out costs, refocusing editorial toward higher-value authors and titles, and accelerating the shift to digital products and inclusive access. Scientific and technical book programs are seen as data-dense content with a meaningful AI monetization opportunity that the company is actively pursuing. Q4 academic results were also depressed by a prior-year AI licensing comparison, partially offset by growth in digital content and courseware.
Leadership, Capital Allocation, and Outlook Framing
Jessica Kowalski joined as General Manager of Research from Microsoft, where she held full P&L accountability for a global AI, data, and cloud services business, after leading data and analytics partnerships at AWS and spending 11 years in senior roles at Relic (as transcribed) helping elevate it from publisher to information-analytics company; she succeeds the departing Jay Flin (as transcribed). She joins CFO Craig Albright and Rafal (as transcribed), Chief AI and Data Analytics Officer, among FY26 leadership additions. Capital allocation follows four priorities: organic investment first, M&A (Emerald), portfolio optimization (ongoing divestiture evaluation for fit to growth and margin profile), and shareholder returns under a 'dividend forward' policy with opportunistic buybacks — management believes the shares are undervalued. Wiley was named one of the world's most impactful companies by Time Magazine, will be a key sponsor at the UN's AI for Good Summit, and enters its 220th year in 2027.