www.forbes.com Β·
Wall Streets Trillion on Chain Migration Is Rewiring Capital Markets

News Analysis β AI Analysis
Original analysis generated by News Analysis. This is our own commentary on the story, not the publisher's article text.
Financial institutions are rapidly adopting on-chain technology and asset tokenization to solve settlement friction, which has historically cost the industry vast amounts of capital. This shift is driven by the need for infrastructure that can support high-velocity, AI-driven trading, moving away from fragmented traditional banking systems. Major players are building proprietary tokenized layers because they recognize that controlling this foundational data and intelligence layer is crucial for future market dominance.
Key points
- Settlement friction has cost the financial industry an estimated $1 trillion over the last decade, prompting a move to on-chain solutions.
- The adoption of stablecoins reached $33 trillion in 2025, signaling a massive shift toward digital assets and tokenization.
- On-chain systems generate structured, immutable transaction data, which is essential for training advanced AI models used in risk management and liquidity optimization.
- Major banks like JPMorgan are launching tokenized funds on blockchains such as Ethereum, while Nasdaq has secured approvals for tokenized trading of major securities.
- Industry leaders view this transition as a fundamental upgrade to the financial system's 'plumbing,' comparable to the shift from postal mail to email.
Claims assessed
- VerifiableSettlement delays and failed trades have cost the financial industry an estimated nearly $1 trillion over the past decade.
- VerifiableGlobal stablecoin transaction values reached $33 trillion in 2025.
- VerifiableReducing equity settlement from two business days to one day immediately freed billions of trapped capital.
- UnverifiedMajor financial institutions are building proprietary tokenized settlement layers because controlling this infrastructure means owning critical market intelligence for AI.
Missing context
The article does not detail the specific regulatory hurdles or geopolitical risks associated with cross-border tokenized asset transfers, nor does it provide concrete data on how much capital might be trapped in traditional systems if the transition slows down.
Topic context
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The full article is on the original publisher site.
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