{"slug": "chainlink-partners-with-swift-ubs-and-euroclear-to-tackle-58b-ai-risk-in-actions", "title": "Chainlink partners with Swift, UBS, and Euroclear to tackle $58B AI risk in corporate actions", "summary": "Chainlink announced on September 29, 2025, that a coalition of 24 financial institutions, including Swift, DTCC, Euroclear, UBS, DBS Bank, and BNP Paribas Securities Services, achieved near-100% data consensus in Phase 2 of its corporate actions initiative, using AI models from OpenAI and Google combined with blockchain infrastructure to address the $58 billion annual cost of corporate actions processing. The system processes data in ISO 20022-compliant records, distributed via Swift and Chainlink's CCIP, and aims to reduce errors from manual processing and AI hallucinations.", "body_md": "Via disruptionbanking.com\n\n# Chainlink partners with Swift, UBS, and Euroclear to tackle $58B AI risk in corporate actions\n\nPhase 2 of a 24-institution initiative achieved near-100% data consensus using AI and blockchain to fix one of finance's most expensive back-office problems\n\nCorporate actions, the mundane-sounding category that covers dividends, mergers, stock splits, and other events that companies inflict on their shareholders, costs the global financial industry an estimated $58 billion per year. That number is climbing by 10% annually. Chainlink just showed up with receipts suggesting it can fix the problem.\n\nThe oracle network announced the results of Phase 2 of its corporate actions initiative on September 29, 2025, revealing that a coalition of 24 major financial institutions achieved near-100% consensus on corporate actions data processed through a combination of AI models and blockchain infrastructure. The participants read like a who’s-who of global finance: Swift, DTCC, Euroclear, UBS, DBS Bank, and BNP Paribas Securities Services, among others.\n\n## Why corporate actions are a $58 billion headache\n\nWhen a company announces a stock split or a dividend, that information needs to flow accurately across thousands of institutions, custodians, and brokers. A single corporate event can generate costs as high as $34 million and involve over 110,000 interactions among firms.\n\nThe reason it’s so expensive is almost embarrassingly simple: less than 40% of corporate actions processing is automated. In English, that means humans are still manually extracting data from PDFs, press releases in different languages, and regulatory filings, then typing it into systems.\n\nThe result is a fragile chain of manual processes where errors compound. When AI models attempt to extract this data automatically, they face their own well-documented problem: hallucinations. A large language model confidently stating the wrong dividend date or the wrong share ratio can cause downstream chaos worth millions. This is the specific risk Chainlink’s initiative targets.\n\n## How the solution actually works\n\nPhase 2 combined large language models from OpenAI and Google with Chainlink’s oracle infrastructure to create a multi-step verification pipeline. Rather than trusting a single AI model’s output, the system runs corporate actions data through multiple models and then checks their answers against each other.\n\nThe initiative achieved what Chainlink described as near-100% data consensus across AI models, with accuracy further confirmed through institutional attestation. That last part matters: actual financial institutions signed off on the outputs, not just algorithms grading their own homework.\n\nThe processed data is delivered in structured records compliant with ISO 20022, the messaging standard the financial industry has been migrating toward. Distribution happens two ways: through the Swift network for traditional financial infrastructure, and through Chainlink’s Cross-Chain Interoperability Protocol (CCIP) for blockchain-native systems. The system also handles multilingual processing, converting source documents in various languages into standardized records in minutes.\n\nChainlink co-founder Sergey Nazarov framed the project as establishing a consensual framework for critical financial data using AI and decentralized technologies.\n\n## The tokenization angle\n\nTokenized equity, where traditional stocks are represented as tokens on blockchain rails, has a data problem. Smart contracts need reliable, structured corporate actions data to function correctly. If a tokenized stock is about to undergo a split, the smart contract managing that token needs to know about it with perfect accuracy.\n\nBy creating what Chainlink calls a single source of truth accessible by both smart contracts and traditional systems, the initiative essentially builds the data plumbing that tokenized public equity markets need to scale.\n\nThis is why the participant list matters so much. Swift processes messaging for over 11,000 financial institutions globally. DTCC settles the vast majority of US securities transactions. Euroclear is one of the world’s largest settlement systems. These aren’t crypto-native startups experimenting with blockchain. These are the institutions that literally run global financial infrastructure, and they’re actively building with Chainlink’s technology.\n\n## What this means for investors\n\nThe $58 billion annual cost figure provides useful context for the scale of the opportunity. If even a fraction of those costs are reduced through automation, the savings flow directly to the bottom lines of financial institutions adopting the technology.\n\nFor Chainlink specifically, the initiative positions its oracle and interoperability infrastructure as essential middleware between AI, blockchain, and traditional finance. The network’s CCIP protocol becomes the delivery mechanism not just for crypto-native data, but for standardized financial information that institutions already need.\n\n**Disclosure:** This article was edited by Editorial Team. For more information on how we create and review content, see our\n\n[Editorial Policy](https://cryptobriefing.com/editorial-policy/).", "url": "https://wpnews.pro/news/chainlink-partners-with-swift-ubs-and-euroclear-to-tackle-58b-ai-risk-in-actions", "canonical_source": "https://cryptobriefing.com/chainlink-swift-ubs-euroclear-ai-corporate-actions/", "published_at": "2026-08-01 13:06:20+00:00", "updated_at": "2026-08-01 13:34:57.656450+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-infrastructure"], "entities": ["Chainlink", "Swift", "DTCC", "Euroclear", "UBS", "DBS Bank", "BNP Paribas Securities Services", "OpenAI"], "alternates": {"html": "https://wpnews.pro/news/chainlink-partners-with-swift-ubs-and-euroclear-to-tackle-58b-ai-risk-in-actions", "markdown": "https://wpnews.pro/news/chainlink-partners-with-swift-ubs-and-euroclear-to-tackle-58b-ai-risk-in-actions.md", "text": "https://wpnews.pro/news/chainlink-partners-with-swift-ubs-and-euroclear-to-tackle-58b-ai-risk-in-actions.txt", "jsonld": "https://wpnews.pro/news/chainlink-partners-with-swift-ubs-and-euroclear-to-tackle-58b-ai-risk-in-actions.jsonld"}}