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Grayscale research head lays out bets on $19T tokenization wave

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Canton, Avalanche and Ethereum as potential winners of tokenization phases (Zach Pandl presentation/Grayscale)

Tokenization has become one of crypto’s favorite buzzwords, but Grayscale head of research Zach Pandl said investors should think about it less as a single trade and more as a long roadmap with different winners at different stages.

Speaking at EthCC conference in Cannes, France, Pandl said that the trend is still in its infancy. Tokenized assets — the process of using blockchain rails to settle, transfer and record ownership of all kinds of financial assets such as bonds, funds and equities — is rapidly growing. However, currently at $27 billion, it still represents roughly 0.01%, a tiny fraction, of global capital markets. That’s projected to swell to near $19 trillion by 2033, according to BCG and Ripple.

Big banks and asset managers already understand the opportunity. “The two things that institutions are aware of are stablecoins and tokenization,” Pandl said. But they are still trying to figure out where to allocate capital to actually benefit from these innovations.

From here, Pandl expects tokenization to unfold in phases, with different types of networks and models capturing value at each stage.

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The first winners, he said, may be projects that look more like traditional finance, not less.

“In the early stages of the tokenization process, you will see things that have success that look more similar to how the financial system works today,” he said.

That means institution-centric, permissioned systems that solve practical issues like privacy, identity and control.

Canton, Avalanche and Ethereum as potential winners of tokenization phases (Zach Pandl presentation/Grayscale)
Canton, Avalanche and Ethereum as potential winners of tokenization phases (Zach Pandl presentation/Grayscale)

Pandl pointed to the Canton Network (CC), backed by Wall Street giants like DRW, TradeWeb, Goldman Sachs and Nasdaq, as a potential winner in this early phase of tokenization.

He said it is “a perfectly reasonable investment” for investors who want nearer-term traction, even if Canton’s approach represents only “a slightly different, slightly upgraded version” of today’s financial system.

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The second phase

The second phase of tokenization could be a hybrid model where we have both institution-owned blockchains and a global shared state, with those networks interconnected and speaking to each other. One example for that is Avalanche (AVAX), with hundreds of sovereign, corporate-owned chains (called subnets) live but connected to a primary, layer-1 network.

Ethereum’s ether (ETH), in his view, is the bigger but slower bet. Pandl said he believes the market will eventually move toward “global decentralized finance,” but added that “the tech is not fully ready” and that institutions are not ready either.

That makes ETH the more ambitious investment for those willing to wait for the longer-term shift away from financial intermediaries.

There are also picks-and-shovels plays. Pandl highlighted chain-agnostic service providers such as Chainlink as another way to get exposure, saying they may be “even more compelling” than some blockchains.

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Read more: How tokenized assets could become a $400 billion market in 2026

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Crypto World

US Law Firm Apologizes For AI Hallucinations in Filing

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US Law Firm Apologizes For AI Hallucinations in Filing

Sullivan & Cromwell’s Andrew Dietderich said the company has AI policies to prevent incorrect citations and other errors, but procedures weren’t followed on this occasion.

Wall Street law firm Sullivan & Cromwell has apologized to a federal judge after submitting a court filing that contained around 40 incorrect citations and other errors caused by AI hallucinations.

“We deeply regret that this has occurred,” Andrew Dietderich, co-head of Sullivan & Cromwell’s global restructuring team, wrote Friday in a letter to Chief Judge Martin Glenn of the US Bankruptcy Court for the Southern District of New York.

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“The Firm and I are keenly aware of our responsibility to ensure the accuracy of all submissions including under Local Bankruptcy Rule 9011-1(d), and I take responsibility for the failure to do so,” he said of an emergency motion filed nine days earlier.

Excerpt from Andrew Dietderich’s letter to Chief Judge Martin Glenn. Source: Sullivan & Cromwell

The incident highlights the risk AI tools can pose in high-stakes professional work without proper oversight. A database managed by legal technologist Damien Charlotin has recorded 1,334 incidents of AI hallucinations in court filings around the world, including more than 900 in the US.

Charlotin pointed out that most of these hallucinations involve fabricated citations, though AI-generated legal arguments have also occasionally been identified.

Dietderich said Sullivan & Cromwell has policies in place for the use of AI tools, which include a review of the citations it uses, but said the policies weren’t followed.

“Regrettably, this review process did not identify the inaccurate citations generated by AI, nor did it identify other errors that appear to have resulted in whole or in part from manual error.”

Sullivan & Cromwell is one of the largest law firms in the US by revenue, ranking 30th on the AmLaw Global 200. The firm also represented crypto exchange FTX in its bankruptcy case.

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Sullivan & Cromwell is conducting an internal investigation

Dietderich said the law firm took “immediate remedial measures,” including a full review of the circumstances that led to the errors. 

Related: Coinbase’s AI payments protocol x402 launches app store for AI agents

The firm is also “evaluating whether further enhancements to its internal training and review processes are warranted,” Dietderich said.

Dietderich also noted that the errors were spotted by a rival law firm.

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“I also called Boies Schiller Flexner LLP on Friday to thank them for bringing this matter to our attention and to apologize directly to them as well,” he said. 

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