Banks are burning $58B a year because they're still processing data like it's 1985.
(And Chainlink just published an article showing how to fix it.)
Here's the idea in a nutshell:
Every time a public company does a stock split, merger, or dividend payout - that's a "corporate action."
There are 3.7M of these events per year in the U.S. alone.
And 46% of the data is STILL processed manually.
(Think: Analysts reading PDFs and copy-pasting into spreadsheets - in 2026!)
Each event touches 110,000 firm interactions and costs $34M to process.
Total damage: $58B per year in costs, errors, and delays.
So Chainlink teamed up with 24 of the world's biggest financial institutions (Swift, Euroclear, UBS) to try something different.
Instead of forcing thousands of companies to change how they send data (tried for decades, never worked)...
They changed how the data gets received.
Step 1: AI reads the messy PDFs and pulls out the key info.
Step 2: Chainlink oracles take that data from multiple AIs, verify it, and agree on one trusted answer.
Step 3: That answer gets published onchain as a "Golden Record" - one source of truth that can't be tampered with.
The kicker?
They hit 100% consensus across all tested corporate actions - with ZERO hallucination problems.
The TL;DR of all of the whole concept:
TradFi connects to onchain infrastructure → AI collects the data → Oracles verify it → Blockchains secure it.
And DTCC, Euroclear, Swift, and BNP Paribas are already plugging in.