Corporate actions like dividends and stock splits cost the financial industry around $58 billion annually, a figure growing about 10% each year. Chainlink teamed up with major players including Swift, UBS, and Euroclear to tackle this costly problem using AI and blockchain.
On September 29, 2025, Chainlink revealed the outcome of Phase 2 in a project involving 24 top financial institutions. They achieved almost perfect agreement on corporate actions data by combining multiple AI models and blockchain for verification. The group also includes DTCC, DBS Bank, and BNP Paribas Securities Services.
Fixing the Broken Data Pipeline
Handling corporate events requires sharing precise information across thousands of firms. A single event can trigger up to 110,000 different interactions, causing costs that sometimes reach $34 million. Surprisingly, less than 40% of this process is automated, with many teams manually extracting data from PDFs and filings, often risking human errors.
While AI offers automation potential, it faces a critical issue called hallucination AI confidently generating wrong data, like incorrect dividend dates, leading to costly mistakes. Chainlink’s approach addresses this by running data through several AI models including those from OpenAI and Google and cross-checking the results via its oracle network. This multi-step verification drastically reduces errors and builds trust in the data.
The initiative's success signals a major step forward for back-office operations in finance, a field notoriously slow to adopt new tech. By blending AI with blockchain verification, Chainlink and its partners are cutting through the mess of manual data entry and inconsistent corporate actions reporting.
This material is for informational purposes and is not financial advice.
