Goldman’s David Solomon warns markets are in ‘greed’ mode for AI mega-IPOs
Solomon points to ample liquidity and argues the next wave could include OpenAI, Anthropic, and SpaceX at trillion scale.
Goldman Sachs CEO David Solomon says markets are in a 'greed' mode ahead of potential AI mega-IPOs. He argues ample liquidity could support trillion-dollar listings from OpenAI, Anthropic, and SpaceX.
Goldman Sachs CEO David Solomon is basically telling the room the market is feeling a little too confident. Ahead of a reported wave of AI mega-IPOs, Solomon said markets are in a “greed” mode, and he linked that mood to a key enabling factor: ample liquidity.
And because the names Solomon floated are not small players, the implication matters. He specifically suggested liquidity could support trillion-dollar listings from OpenAI, Anthropic, and SpaceX, putting a potential multi-company stamp on the idea that the public markets could underwrite enormous valuations for AI and space-linked businesses.
Let’s unpack what “ample liquidity” really changes for boards and executives. When liquidity is plentiful, capital becomes easier to access and harder to refuse. That does two things at once. First, it can expand the range of acceptable outcomes in IPO negotiations, because investors are more willing to pay up rather than wait. Second, it can shift timing risk from “Will we find buyers?” to “Will the valuation story hold once expectations are public?” In other words, liquidity reduces friction, but it increases scrutiny.
Solomon’s “greed” framing is also a signal about how investment banks and issuers may be thinking about sentiment. IPOs are not just auctions for shares. They are also social proof machines. If investors collectively decide the market is ready for trillion-dollar tech assets, the first mover gets a valuation advantage and the next movers get a reference point. That dynamic can become self-reinforcing quickly, especially when the beneficiaries are companies that already have strong mindshare and a narrative that markets understand: AI at scale, and the broader ecosystem that surrounds it.
Now, about the specific companies Solomon named: OpenAI, Anthropic, and SpaceX. These are not just brands. They are different kinds of bets that nonetheless share a common theme in how the market values them. AI companies often trade on expected future compute, data advantages, and product distribution. Space companies, meanwhile, have historically been judged on different milestones like launch cadence, contracts, and scale of operations. Solomon’s point is that the same liquidity environment could support trillion-dollar listings across those categories, meaning investors may be using a broad valuation lens rather than only a narrow, sector-by-sector lens.
This matters because the regulatory and market-structure backdrop is never neutral for IPOs, even when liquidity is abundant. In the United States, for example, public listings require disclosure, oversight, and ongoing compliance, and regulators watch for everything from risk concentration to how companies describe their business and prospects. AI in particular can raise questions about governance, data use, and how claims translate into measurable results. Space companies can face scrutiny tied to forecasts, safety, and execution milestones. The common thread for executives is that even in a “greed” market, you still have to be ready for the questions that arrive right after the hype.
Second-order effects are where boards should focus. If markets are willing to size IPOs at trillion-dollar levels, pre-IPO stakeholders will likely push for deals that maximize valuation and control, which can affect everything from capital structure to governance terms. That can also raise pressure on private-market comparables, since public comps often reset expectations for later fundraising and M&A. For employees, it can shift incentives and expectations for liquidity events. For competitors, it can intensify the race to secure capital and accelerate product roadmaps, because waiting too long may mean missing the window when sentiment and liquidity align.
For peers in finance and tech, Solomon’s remarks are a live wire: they suggest the market mood could be a tailwind, not just a background condition. The strategic stake is simple. If liquidity can support trillion-dollar listings, then the companies that move early can shape the valuation ceiling for everyone else. But if “greed” becomes too one-sided, the same liquidity that props up prices can also amplify downside when expectations meet reality. In executive terms, the question becomes less about whether a deal is possible, and more about whether the story, metrics, and governance are durable enough to survive the transition from private momentum to public accountability.
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