Crypto Technologies Studied by Goldman Sachs: Tokenization and Prediction Markets

Goldman Sachs continues to expand its research into two key technologies that are both driving industry change: tokenization and prediction markets. According to CEO David Solomon, these technologies are not only part of their research agenda but are actively being evaluated by the company for potential integration into their trading and advisory operations.

Last month, Solomon stated during the company’s quarterly earnings call that Goldman has a large internal team dedicated to understanding how to expand and accelerate these new markets. “Both of these technologies are highly regarded by many members of our organization—tokenization, stablecoins—and we have a dedicated group spending time with senior leadership to identify potential pathways to strengthen our business,” Solomon said.

Tokenization and Prediction Markets: Both Technologies Invite Goldman

These two technologies share an important characteristic: both reflect the future of the digital asset ecosystem and open new opportunities for traditional financial institutions. Tokenization converts physical and digital assets into blockchain-based representations, while prediction markets create decentralized platforms where users can trade on the outcomes of future events.

For Goldman, both technologies represent the same strategic goal: understanding how they can create value for their clients and core business operations. The company is actively engaging with regulatory stakeholders and exploring practical applications of each technology.

Concrete Opportunities in Prediction Market Platforms

In the early weeks of 2026, Solomon held direct meetings with leading prediction market platforms. Although he did not specify names, his emphasis on CFTC-regulated platforms suggests interest in entities like Kalshi and Polymarket.

“I personally met with the two main prediction market companies and their leadership over the past two weeks, and I spent a lot of time with each to better understand their models and opportunities,” Solomon said. “Our group is exploring with them, and we clearly see ways this could integrate into our trading and risk management operations.”

Goldman is assessing how prediction markets could become part of their broader strategic framework, particularly in the context of market structure and information advantage they could leverage.

Regulatory Landscape and the Role of the Digital Asset Market Clarity Act

One of the main challenges facing the industry is regulatory uncertainty. Solomon also spoke about Goldman’s active engagement with lawmakers in Washington, particularly regarding the Digital Asset Market Clarity Act.

“Much action is happening in Washington regarding the clarity bill, and I am actively consulting with policymakers to ensure our perspective is heard in the legislative process,” Solomon explained. The Digital Asset Market Clarity Act is a critical bill aimed at providing a clear regulatory framework for digital assets, but this step has become complicated due to competing interests—including the stance of traditional banks against the cryptocurrency industry in some aspects.

The Realistic Timeline for Adoption

Despite Goldman’s growing interest in these technologies, Solomon offered a pragmatic view on the timeline for adoption. He does not believe change will happen as quickly as many industry experts hope.

“Sometimes, there are many reasons to be excited about these things, but the pace of real change can be slower than some people expect,” he said. Nonetheless, Solomon emphasized that Goldman is serious about advancing these opportunities and will continue to evaluate how they can generate real value for their business.

Solomon’s strategic focus highlights the tension faced by traditional financial institutions: the need to stay alert to emerging technologies while maintaining realistic expectations about adoption timelines and market maturity.