Goldman Sachs has been working with the artificial intelligence startup Anthropic to create AI agents to automate a growing number of roles within the bank, the firm’s tech chief told CNBC exclusively.

The bank has, for the past six months, been working with embedded Anthropic engineers to co-develop autonomous agents in at least two specific areas: accounting for trades and transactions, and client vetting and onboarding, according to Marco Argenti, Goldman’s chief information officer.

The firm is “in the early stages” of developing agents based on Anthropic’s Claude model that will collapse the amount of time these essential functions take, Argenti said. He expects to launch the agents “soon,” though he declined to provide a specific date.

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“Think of it as a digital co-worker for many of the professions within the firm that are scaled, are complex and very process intensive,” he said.

Goldman Sachs CEO David Solomon said in October that his bank was embarking on a multi-year plan to reorganize itself around generative AI, the technology that has made waves since the arrival of OpenAI’s ChatGPT in late 2022. Even as investment banks like Goldman are experiencing surging revenue from trading and advisory activities, the bank will seek to “constrain headcount growth” amid the overhaul, Solomon said.

The news from Goldman, a leading global investment bank, comes as model updates from Anthropic, co-founded by a former OpenAI executive, have sparked a sharp selloff among software firms and their credit providers as investors wager on who the winners and losers from the AI trade will be.

Goldman began last year by testing an autonomous AI coder called Devin, which is now broadly available to the bank’s engineers. But it quickly found that Anthropic’s AI model could work in other parts of the bank, said Argenti. 

“Claude is really good at coding,” Argenti said. “Is that because coding is kind of special, or is it about the model’s ability to reason through complex problems, step by step, applying logic?”

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Argenti said the firm was “surprised” at how capable Claude was at tasks besides coding, especially in areas like accounting and compliance that combine the need to parse large amounts of data and documents while applying rules and judgment, he said.

Now, the view within Goldman is that “there are these other areas of the firm where we could expect the same level of automation and the same level of results that we’re seeing on the coding side,” he said.

The upshot is that, with the help of the agents in development, clients will be onboarded faster and issues with trade reconciliation or other accounting matters will be solved faster, Argenti said.

Goldman could next develop agents for tasks like employee surveillance or making investment banking pitchbooks, he said. 

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While the bank employs thousands of people in the compliance and accounting functions where AI agents will soon operate, Argenti said that it was “premature” to expect that the technology will lead to job losses for those workers.

Still, Goldman could cut out third-party providers it uses today as AI technology matures, he said.

“It’s always a tradeoff,” Argenti said. “Our philosophy right now is that we’re injecting capacity, which in most cases will allow us to do things faster, which translates to a better client experience and more business.”

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Tokenised collateral is shifting from experimental pilots into core financial market infrastructure, according to comments from Keith Grose, UK CEO of Coinbase, as central banks and institutions accelerate real-world deployment.

Grose explains growing engagement from central banks signals that tokenisation has moved beyond the crypto-native ecosystem and into mainstream financial plumbing, particularly around liquidity and collateral management.

From Pilots to Production

“When central banks start talking about tokenised collateral, it’s a sign this technology has moved beyond crypto and into core market infrastructure,” Grose said.

He pointed to new data from Coinbase, showing that 62% of institutions have either held or increased their crypto exposure since October, despite periods of market volatility.

According to Grose, this sustained institutional presence reflects a shift in priorities. Rather than speculative exposure, firms are increasingly focused on operational tools that allow them to deploy digital assets at scale within existing risk frameworks.

Demand for Institutional-Grade Infrastructure

Coinbase said it is seeing growing institutional demand for services such as custody, derivatives and stablecoins, which Grose said are essential for managing risk and supporting day-to-day financial activity. “That tells us the market is building for real-world use,” he said.

He added that tokenised assets and stablecoins are expected to move from being conceptual possibilities to becoming everyday instruments for liquidity and collateral management. This transition, Grose said, will define the next phase of market development through 2026 as infrastructure matures and regulatory clarity improves.

The Role of UK Regulation

Grose highlighted the importance of the UK regulatory environment in unlocking further capital allocation into tokenised markets. While the UK has made progress in developing a framework for digital assets, he said policy choices around stablecoins will be critical to sustaining momentum.

“In the UK, to grow tokenisation we need no limits or blocking of stablecoin rewards,” Grose said. He argued that allowing investors to keep funds circulating within the digital economy would help unlock a genuinely liquid, 24/7 tokenised marketplace.

As institutions move from testing to deploying tokenised collateral in live market environments, Grose expects adoption to accelerate across custody, derivatives and stablecoin-based settlement.

With central banks increasingly engaged and institutional exposure holding firm, tokenisation is positioning itself as a foundational layer of modern financial infrastructure rather than a niche crypto application.

What Is Tokenisation and Why It Matters

Tokenisation is the process of representing a real-world asset on a blockchain. Tokens can stand for a wide range of assets both financial and non-financial, including cash, gold, stocks and bonds, royalties, art, real estate and other forms of value.

In practice, anything that can be reliably tracked and recorded can be tokenised, with the blockchain acting as a shared ledger that records ownership and transfers in a transparent and verifiable way.

As tokenisation continues to develop, its implications for markets, infrastructure and risk management are becoming clearer, prompting further research and analysis into how on-chain assets can reshape financial systems.

The post Coinbase UK CEO Says Tokenised Collateral Is Moving Into Market Mainstream appeared first on Cryptonews.

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