
Which bank will lead OpenAI's IPO?
$0.00
1
6
Which bank will lead OpenAI's IPO?

$0.00
1
6
AI Analysis
Trader mode: Actionable analysis for identifying opportunities and edge
About This Event
Before Jan 1, 2028 If X serves as lead-left underwriter on OpenAI's initial public offering in the United States before Jan 1, 2028, then the market resolves to Yes. If two or more underwriters are presented on the cover of the final prospectus as jointly occupying the lead-left position, such that no single underwriter is uppermost-and-leftmost, for example, two names sharing equal top billing, then each such underwriter's outcome resolves to $1/, the number of tied underwriters, rounded down,
What Prediction Markets Are Forecasting
Traders on Kalshi currently give Goldman Sachs roughly a 2 in 3 chance (66%) of leading OpenAI's initial public offering as the top underwriter before January 1, 2028. That's a strong lean, but not a lock. Think of it like a weather forecast calling for scattered showers: you'd bring an umbrella, but you wouldn't cancel your picnic.
The market is also tracking other banks, though none come close to Goldman's odds. This isn't surprising. OpenAI is arguably the most anticipated tech IPO since Meta (then Facebook) went public in 2012. Whoever lands this deal gets a trophy client, massive fees, and bragging rights for years.
Why the Market Sees It This Way
Goldman Sachs has history with OpenAI. The bank reportedly helped OpenAI secure its massive $6.6 billion funding round in October 2024, one of the largest private raises in history. That relationship matters. Banks that lead private rounds often win the public offering later. It's a natural pipeline.
Goldman also leads the tech IPO pack generally. It ran Meta's IPO and has been the go-to for big-name consumer tech listings. OpenAI's board includes people with deep ties to traditional finance, and they'll want a bank with the distribution muscle to place shares with the world's biggest institutional investors.
Still, 66% leaves room for surprises. Morgan Stanley, JPMorgan, and others have poached deals from Goldman before. OpenAI could also delay past 2028, though the market implies that's unlikely since it's pricing this as the leading scenario.
Key Dates and Events to Watch
OpenAI's CEO Sam Altman has said the company isn't in a rush, but the pressure to go public grows as it burns through capital. Watch for:
- Any announcement of a formal IPO filing, which would name the underwriters
- OpenAI's next major funding round, which could signal which banks have the inside track
- Leadership changes at OpenAI, since board composition influences bank selection
- Regulatory shifts around AI, which could speed up or delay the timeline
If OpenAI files confidentially with the SEC, that paperwork often leaks the lead bank before the public prospectus appears.
How Reliable Are These Predictions?
Prediction markets have a solid track record on binary events like this, especially when they involve well-known companies and clear timelines. The 2020-2021 SPAC boom and the 2024 Trump Media IPO showed that markets can price bank selections reasonably well when relationships are visible.
But there's a catch. This market resolves only if OpenAI actually goes public before 2028. If the company stays private, or gets acquired, or merges with another entity, the market may resolve to No for everyone. That's a real possibility. AI companies have been merging and partnering at a dizzying pace.
The market's 66% already accounts for some of that risk. It's saying: given that an IPO happens, Goldman is the favorite. But "favorite" in a field with several strong contenders still means there's a real chance someone else takes the crown.
Current Market Outlook
Kalshi traders currently price Goldman Sachs at 66% to serve as lead-left underwriter on OpenAI's IPO before January 1, 2028. That's a strong favorite, but not a lock. A 66% probability suggests the market sees Goldman as the clear frontrunner while acknowledging real competition from other bulge-bracket banks.
The market structure is unusual: OpenAI has not officially filed for an IPO, and the company remains privately held with a valuation near $300 billion following its October 2024 funding round. The January 2028 deadline gives roughly three years for the company to go public, which aligns with industry chatter that OpenAI could list as soon as late 2025 or 2026.
Key Factors Driving the Odds
Goldman's lead reflects its dominant position in tech IPOs over the past decade. The bank led or co-led most major mega-cap tech listings, including Meta's 2012 debut and Uber's 2019 offering. Its technology banking group has deep relationships with OpenAI's board, including ties through Microsoft, which holds a 49% economic stake in the company.
OpenAI's capital structure complicates any IPO. The company's unusual capped-profit model and Microsoft's preferred share arrangements require careful structuring. Goldman has the most experience navigating complex dual-class and special-purpose vehicles, which matters here.
Competition is real. Morgan Stanley and JPMorgan both maintain strong AI banking franchises. Morgan Stanley led Anthropic's financing rounds, and JPMorgan has been aggressive courting AI startups. But neither has the same depth of pre-IPO relationship with OpenAI's leadership team.
What Could Change These Odds
The market could shift if OpenAI announces a formal underwriter selection process. Company leadership, particularly CFO Sarah Friar, has hinted at IPO preparations but has not confirmed any bank mandates. A public filing would likely trigger a flurry of banking announcements and potentially move Goldman's odds.
Regulatory risk cuts both ways. The SEC's scrutiny of AI-related disclosures and potential antitrust review of Microsoft's stake could delay the IPO past 2028, which would nullify all bank outcomes. Conversely, if OpenAI opts for a direct listing instead of a traditional IPO, the lead-left underwriter question becomes moot entirely.
Watch for OpenAI's next major funding round. If the company raises again at a $400 billion valuation, that signals a longer private runway and pushes the IPO timeline toward the 2028 boundary, making the deadline risk more pronounced.
AI-generated analysis based on market data. Not financial advice.
Overview
OpenAI, the artificial intelligence research organization behind ChatGPT, has grown from a nonprofit founded in 2015 into one of the most valuable private companies in the world. As of early 2025, OpenAI is reportedly in discussions for an initial public offering (IPO) that could occur before January 1, 2028. The prediction market question asks which bank will serve as the lead-left underwriter on the cover of the final prospectus, a position that typically goes to the investment bank managing the offering. This is a significant decision because the lead-left underwriter, often called the bookrunner, plays a central role in pricing, marketing, and allocating shares, and the choice can signal the company's strategy and the likely success of the IPO. OpenAI's journey to a potential IPO has been unusual. The company was created as a nonprofit, then added a capped-profit arm in 2019 to attract investment, and has undergone several leadership changes, including the brief ouster and reinstatement of CEO Sam Altman in November 2023. In October 2024, OpenAI closed a $6.6 billion funding round at a $157 billion valuation, led by Thrive Capital, with participation from Microsoft, Nvidia, and others. Reports in early 2025 suggest OpenAI is in talks for another funding round that could value the company at $300 billion or more, and discussions with banks about a potential IPO have reportedly begun, though no formal underwriting agreement has been announced. The choice of lead-left underwriter is often a competitive process, with major investment banks vying for the mandate. For a company of OpenAI's scale and prominence, the fees could be substantial, and the prestige of leading such a high-profile IPO is considerable. The prediction market reflects the uncertainty around this decision, and observers are watching for signals such as which banks are hired for private placement or advisory roles, as these often precede the underwriting selection. The outcome will depend on OpenAI's timeline, the state of the IPO market, and the company's internal governance decisions. Interest in this topic extends beyond finance, as an OpenAI IPO would be a landmark event for the AI industry, potentially valuing the company at hundreds of billions of dollars and providing a public market benchmark for AI companies. The lead underwriter's role is not just ceremonial; it involves due diligence, regulatory compliance, and the crucial task of setting the initial share price, which can affect the company's valuation and investor sentiment. For these reasons, the prediction market question captures a key moment in the commercialization of artificial intelligence.
Historical Context
The role of the lead-left underwriter has been a staple of capital markets for decades. In a traditional IPO, the underwriting syndicate is listed on the cover of the prospectus, and the bank that appears in the upper-left position is considered the lead bookrunner, responsible for managing the offering. This position is highly coveted because it brings substantial fees, prestige, and influence over the pricing and allocation of shares. For example, in the Facebook IPO of 2012, Morgan Stanley served as the lead-left underwriter, a role that came under scrutiny after the stock initially fell, but the bank still earned significant fees and maintained its reputation. The modern IPO landscape has seen shifts in underwriting leadership. In the late 1990s, traditional banks like Goldman Sachs and Morgan Stanley dominated, but the rise of technology-focused banks like Allen & Company and boutique firms such as Evercore has added competition. However, for mega-cap IPOs, the lead-left role typically goes to one of the bulge-bracket banks. For instance, Alibaba's 2014 IPO, the largest in history at $25 billion, was led by Credit Suisse, Deutsche Bank, Goldman Sachs, JPMorgan, and Morgan Stanley, with Credit Suisse and Morgan Stanley sharing the top billing. This example highlights that sometimes multiple banks share the lead-left position, a scenario the prediction market's resolution clause accounts for. In the context of AI companies, there have been few large IPOs. C3.ai went public in December 2020 with a $650 million offering, led by Morgan Stanley and JPMorgan, and Palantir Technologies had a direct listing in September 2020 with no underwriters. These precedents are smaller in scale compared to what OpenAI's IPO could be, which is expected to be among the largest in history, potentially exceeding $50 billion in capital raised. The choice of underwriter will likely reflect OpenAI's desire for a bank with deep technology sector expertise, strong institutional relationships, and the ability to handle the regulatory scrutiny that comes with such a high-profile offering.
Why It Matters
The selection of the lead-left underwriter for OpenAI's IPO is not just a financial detail; it is a signal of the company's market positioning and the broader health of the IPO market. For OpenAI, the choice will affect the pricing of its shares, the distribution to investors, and the long-term relationship with the financial community. A successful IPO could provide OpenAI with the capital needed to continue its expensive AI research and development, while a poorly managed offering could damage its valuation and investor confidence. The underwriter's role in setting the initial price is critical, as an overpriced IPO can lead to a first-day pop or a decline, both of which have reputational consequences. Beyond OpenAI, the IPO would be a bellwether for the AI sector. If the offering is well-received, it could encourage other AI startups to go public, potentially leading to a wave of IPOs in the sector. Conversely, a failed offering could chill interest in AI investments. The lead underwriter's ability to manage the offering will also be scrutinized by regulators, particularly regarding the disclosure of risks associated with AI technologies, such as regulatory changes, ethical concerns, and competition. The decision will also impact the banks themselves, as the fees from a mega-IPO can be tens of millions of dollars, and the prestige of leading such a deal can enhance a bank's reputation and attract future business. For investors, the lead underwriter's reputation can serve as a proxy for the quality of the offering, influencing their willingness to participate.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

