Chainlink and 24 Banks Deploy AI Oracles to Fix Global Finance’s $58 Billion Data Crisis

TLDR:

• Over 3.7 million corporate action events occur annually in the U.S., costing the global industry $58 billion each year.

• AI models extract unstructured financial data from PDFs, while Chainlink oracles verify and reach 100% consensus on accuracy.

• Major institutions including Swift, DTCC, Euroclear, and BNP Paribas are already distributing verified records across multiple blockchains.

• Onchain Golden Records are set to become the standard for tokenized assets, enabling real-time settlement and automated smart contracts.

Chainlink, alongside 24 of the world’s largest financial institutions, has addressed a persistent data inefficiency in global finance. The corporate actions processing system costs the industry an estimated $58 billion every year.

Institutions such as Swift, Euroclear, and UBS participated in the coalition effort. By combining artificial intelligence with decentralized oracle networks, the group achieved 100% consensus on verified data.

The solution is formally known as the “Onchain Golden Record.”

How AI and Oracle Networks Eliminate a Four-Decade Manual Process

Corporate actions include events like stock splits, mergers, and dividend payouts by public companies. There are over 3.7 million such events recorded annually in the United States alone.

About 46% of this data is still processed manually by financial analysts today. Analysts read complex PDF documents and manually enter data into their internal systems.

This manual workflow creates costly errors and processing delays across the financial industry. A single corporate action event can trigger over 110,000 firm interactions on average.

Processing just one such event can cost up to $34 million for a firm. These numbers collectively drive the industry’s $58 billion annual processing cost.

Past attempts to standardize communication formats across financial institutions consistently failed. Forcing thousands of global companies to change their data practices was not practical.

Chainlink and its partners took a different path by transforming the output, not the input. AI models — including ChatGPT, Gemini, and Claude — extract structured data from existing unstructured PDFs.

In a post on X (formerly Twitter), Chainlink stated that its decentralized oracle networks verify extracted data across multiple AI sources simultaneously.

The networks then reach consensus on a single trusted answer before recording it onchain. This process achieved 100% consensus across all evaluated corporate actions events. The Onchain Golden Record now serves as an immutable and verifiable source of financial truth.

Tokenized Assets and the Expansion of Verified Onchain Financial Data

Tokenized assets cannot scale without accurate corporate actions data available on the blockchain. Smart contracts need real-time information when a stock splits or a dividend is paid out.

Without oracle networks, tokenized stocks remain static and unreliable financial instruments. With verified onchain data, they become dynamic tools capable of automated transactions and real-time settlement.

Key industry players — including DTCC, BNP Paribas, Euroclear, and Swift — are already using Chainlink. They distribute verified records simultaneously across multiple public and private blockchains.

This setup allows different financial networks to access the same trusted data in real time. The infrastructure directly bridges traditional finance with the broader Web3 ecosystem.

Once Onchain Golden Records become the standard for tokenized assets, adoption across other financial instruments will follow. The corporate actions initiative demonstrates how existing financial systems can integrate with blockchain infrastructure.

More institutions joining the network means fewer errors and greater processing efficiency. The foundation of a more reliable and connected global financial system is actively being built now.

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