Goldman Sachs CEO David Solomon made it clear during the company’s Q4 earnings call on January 16 that the Wall Street giant is actively exploring opportunities in the prediction markets, with plans to enter the realm of trading on real-world events.
Solomon described prediction markets as "very interesting," noting that he personally met with the heads of the two largest firms in the sector over the past two weeks. The Wall Street heavyweight revealed that Goldman’s team is engaging with these companies and conducting in-depth research.
01 Goldman Sachs’ Strategic Moves
Goldman Sachs is moving quickly to evaluate how it can benefit from prediction markets. During the earnings call, Solomon emphasized that prediction markets have become a new area of focus for Goldman.
He specifically mentioned meeting with the leaders of the two largest prediction market companies in the past two weeks, spending hours to gain a deeper understanding of the sector. Goldman has assembled a dedicated team to engage with these companies and conduct thorough research.
The CEO also disclosed that Goldman is actively communicating with policymakers in Washington, particularly in the context of the Digital Asset Market Structure Clarity Act.
02 What Are Prediction Markets?
Prediction markets are blockchain-based platforms that allow users to trade on the outcomes of real-world events, ranging from elections and cryptocurrency prices to sports events and weather forecasts.
Unlike traditional centralized betting platforms, decentralized prediction markets offer on-chain transparency, self-custody of funds, and global permissionless access. As of October 2025, total on-chain prediction market trading volume has surpassed $2.6 billion, up more than 180% year-over-year.
In the crypto space, prediction markets sit at the intersection of derivatives trading, information markets, and social consensus mechanisms. They are particularly well-suited for events closely watched by crypto traders, such as ETF approvals, protocol upgrades, governance votes, and regulatory actions.
03 Leading Prediction Market Platforms
Polymarket has emerged as the go-to platform for forecasting crypto-related events, built on USDC settlement and automated market maker technology. In September 2025, the platform set a monthly record with approximately $1.43 billion in trading volume.
Kalshi is the first event trading platform in the US regulated by the CFTC, providing American users with a fully compliant way to trade outcomes tied to inflation data, Federal Reserve rate decisions, elections, and sports. The platform’s monthly trading volume surpassed $1 billion in 2025.
Augur is one of the earliest decentralized prediction market protocols, operating entirely on smart contracts and a decentralized oracle system. Meanwhile, Gnosis serves not as a consumer-facing platform but as infrastructure for numerous prediction markets, enabling outcomes to be represented as tradable, composable ERC-20 tokens.
04 Regulatory Landscape and Market Outlook
Solomon remains cautiously optimistic about the development of prediction markets. He noted that while the technology is promising, "the pace of change may not be as fast or as immediate as some experts suggest."
The Digital Asset Market Structure Clarity Act has become a focal point for the industry. Goldman analysts point out that improvements in the regulatory environment are a key driver for continued institutional adoption of cryptocurrencies.
It’s worth noting that some market-making firms have already entered the fray. The move by mainstream Wall Street institutions into prediction markets could boost the legitimacy and trading volume of this lightly regulated but rapidly growing financial niche.
05 Impact on the Crypto Industry
The rise of prediction markets is adding a new dimension of growth to the crypto industry. These platforms not only offer "betting" features, but more importantly, they provide a way to express probabilities, with prices acting as constantly updated forecasts.
For traders, DAOs, and researchers, prediction markets offer a distinct layer of signals—reflecting belief-weighted consensus rather than narrative momentum.
Solomon emphasized that Goldman is not only focused on prediction markets but is also closely monitoring adjacent crypto technologies such as tokenization and stablecoins, with "a large number of employees deeply dedicated to these areas."
This week, Morgan Stanley filed to launch its own spot Bitcoin exchange-traded fund as well as a spot Solana ETF, signaling that major global banks may be moving further toward cryptocurrency adoption.
Looking Ahead
Solomon stated, "I can definitely see opportunities for these prediction markets to intersect with our business, and we’re very focused on understanding that." When asked whether these emerging technologies might eventually be integrated into Goldman’s product lineup, he gave a clear response.
Wall Street’s financial giants are reassessing their relationship with the crypto sector. Goldman’s push into prediction markets, alongside Morgan Stanley’s spot crypto ETF applications, together paint a picture of accelerating convergence between traditional finance and the crypto world.
The investment bank stands at the edge of transformation, aiming to secure a foothold in the fast-evolving prediction market space. As the Digital Asset Market Structure Clarity Act advances and the regulatory landscape becomes clearer, prediction markets may emerge as a vital bridge connecting traditional finance with the crypto ecosystem.
