Chainlink has partnered with Swift, UBS, and Euroclear to address a $58 billion risk tied to artificial intelligence in corporate actions processing. The collaboration aims to reduce costs and improve data accuracy across the financial industry.
The $58 Billion Problem
Corporate actions — events like dividend payments, stock splits, and mergers — generate massive amounts of data that must be processed accurately and on time. Errors in this processing already cost the industry billions each year. The rise of AI introduces new risks: automated systems can amplify mistakes if they rely on faulty or inconsistent data. The partnership targets that vulnerability head-on.
How the Partnership Works
Chainlink brings its decentralized oracle network, which pulls data from multiple sources and verifies it before feeding it into smart contracts. Swift provides the global messaging infrastructure that banks already use. UBS and Euroclear act as the financial heavyweights, testing the system in real-world scenarios. Together, they plan to create a standardized, tamper-proof pipeline for corporate action data.
The group will run pilot projects to see if the approach can cut the manual reconciliation that currently slows down processing. If it works, the system could automate much of the work, slashing costs and eliminating the errors that come from human data entry.
What This Means for the Industry
For banks and asset managers, faster, more accurate corporate actions processing means less risk and lower operational costs. For regulators, it offers a clearer audit trail. But the partnership is still in its early stages. The $58 billion figure — the estimated annual cost of corporate actions failures globally — underscores the scale of the opportunity.
The partners have not disclosed a timeline for implementation. They also haven't said how they'll handle the transition from existing systems. Those questions will likely be answered as the pilots progress.
