Level 1 - Absolute Beginner

Big companies sometimes sell small parts of themselves to the public. This is called an IPO. When you buy a piece of a company, you become a small owner. The company gets money to grow.

Three very famous technology companies are getting ready for big IPOs. They are OpenAI, Anthropic, and SpaceX. Together, they are worth about three trillion dollars. This is a very, very large number.

The boss of Goldman Sachs is named David Solomon. Goldman Sachs is a big bank that helps companies do IPOs. Solomon said that investors right now have a lot of greed. This means they are very excited to buy new shares.

Solomon also gave a warning. He said that greed can quickly change to fear. This means the market can fall very fast if people get scared. The world is watching to see how these huge IPOs go.

IPO

Initial Public Offering; when a company sells its shares to the public for the first time

share

a small piece of ownership in a company that can be bought and sold

investor

a person who puts money into a company or stock hoping to earn more money back

market

a place where buyers and sellers exchange goods, services, or shares

bank

an organization that handles money, saves it, and helps companies raise funds

greed

the desire to have more money or things than you need

trillion

one thousand billion; a very large number written as 1,000,000,000,000

warning

a statement telling someone about a possible danger or problem ahead

Level 2 - Elementary

Goldman Sachs is one of the world's most powerful investment banks. Its CEO, David Solomon, made an important statement on June 2, 2026. He told CNBC that financial markets are currently in greed mode - a phrase used when investors are very eager to put their money into new investments.

The reason for this mood is that three of the most valuable private companies in the world are preparing to go public. They are OpenAI, Anthropic, and SpaceX. Together, their estimated market capitalization is close to three trillion dollars. This would be the largest wave of new stock market listings in history.

Goldman Sachs is expected to be a key underwriter for several of these listings. That means the bank helps manage the process and earns large fees. Solomon said there is plenty of liquidity in the system, meaning that there is enough money available to absorb even these enormous offerings.

However, Solomon also offered a note of caution. He said greed can turn into fear very quickly. He also noted that large companies tend to adopt new technologies more slowly than smaller firms, which could limit how fast the AI companies grow after going public.

investment bank

a bank that helps companies raise money by selling stocks or bonds to the public

market capitalization

the total value of a company's shares on the stock market

underwriter

a bank or firm that organizes and guarantees a new stock offering, earning fees for doing so

liquidity

the availability of money in the financial system that can be used to buy investments

listing

the process of making a company's shares available to buy on a stock exchange

adopt

to start using something new, such as a technology or practice

earnings

the profits a company makes after paying its costs

caution

careful attention to possible risks or dangers

Level 3 - Intermediate

Goldman Sachs CEO David Solomon used a telling phrase on June 2, 2026, when he told CNBC that financial markets have decisively entered greed mode in anticipation of the largest technology-listing wave in stock market history. The trio of OpenAI, Anthropic, and SpaceX - the world's three most valuable private companies - are expected to file for initial public offerings within weeks of each other, with a combined prospective market capitalization approaching three trillion dollars. That sum would dwarf the dot-com-era IPO wave and exceed the combined market value of the entire S&P 500 index as recently as 2015.

Goldman Sachs is positioned to earn hundreds of millions of dollars in underwriting fees from the listings and has been a financial adviser to at least two of the three companies. Solomon's public assessment carries weight precisely because it is partly self-interested: if the bank's CEO says markets can absorb the supply, investors tend to believe the pipeline will stay open. He reinforced this by noting that there is plenty of liquidity in the system provided global conditions remain optimistic.

But Solomon also planted a flag of caution. He described the AI build-out as a multi-year project that could prove more profitable for the providers of computing infrastructure - chip manufacturers, data-center operators, and energy utilities - than for the AI companies themselves, at least in the near term. He also said that enterprises broadly would be slower to adapt to AI than current market expectations implied, a warning that has significant implications for revenue projections embedded in the forthcoming IPO filings.

The market's broader mood supported Solomon's characterization: the S&P 500 stood at 7,610 on June 3, roughly 40 percent above its 2024 pre-election level. Analysts at Bernstein estimated that the three IPOs could collectively absorb between 800 billion and 1.2 trillion dollars of institutional capital within the first 90 days of trading, which would represent the single largest reallocation of capital in equity market history.

initial public offering (IPO)

the first sale of a company's shares to the general public on a stock exchange

prospective market capitalization

the estimated total value of a company's shares if it were to list on a stock market at the expected price

self-interested

motivated by one's own financial or personal advantage

institutional capital

money managed by large organizations such as pension funds, insurance companies, and asset managers

reallocation

the transfer of resources or money from one type of investment to another

equity market

the market where shares of companies are bought and sold by investors

infrastructure

the basic physical and organizational systems needed for an industry to function, such as data centers and power grids

Level 4 - Advanced

Goldman Sachs CEO David Solomon's June 2, 2026, appearance on CNBC functioned as much as a strategic communication as a market commentary. By publicly declaring that investors are in greed mode and that the financial system has the liquidity to absorb an unprecedented trilogy of technology listings - OpenAI, Anthropic, and SpaceX with a combined prospective capitalization of roughly three trillion dollars - Solomon was simultaneously reassuring institutional allocators and signaling Goldman's readiness to serve as lead underwriter across all three processes. The bank's revenue stakes give its CEO a structural incentive to talk up market capacity; that the phrasing was candid about greed rather than diplomatically bland was calibrated to resonate with sophisticated investors who distrust sanitized optimism.

The historical analogy embedded in any discussion of this IPO cohort is unavoidable. Between 1999 and 2000, roughly 800 new companies raised approximately 100 billion dollars in US IPO proceeds. The forthcoming wave from three companies alone could raise between 200 and 300 billion dollars in primary proceeds while generating secondary-market turnover that would dwarf the dot-com secondary volume by an order of magnitude. Yet the businesses underlying the 2026 IPOs are demonstrably different in kind: SpaceX has recurring launch-service revenues in the billions, OpenAI has annualized revenue above 25 billion dollars, and Anthropic is approaching 30 billion dollars in ARR. The comparison is less about bubble risk and more about the organizational and regulatory challenges of managing publicly accountable AI corporations.

Solomon's more substantive caution concerned adoption velocity. He argued that enterprise clients - the Fortune 500 companies expected to pay for AI at scale - will go slower than current market expectations in deploying AI into revenue-generating workflows. This is the central bear case embedded in every AI equity valuation model: the gap between the pace of model capability advancement and the organizational, security, regulatory, and change-management friction that large enterprises face in capturing value from those capabilities. If Solomon's adoption timeline is correct, the revenue multiples baked into prospectus valuations could prove heroically optimistic in the near term even if the long-run thesis is sound.

The market structure context makes Solomon's framing particularly consequential. Institutional money-market funds and short-duration fixed-income portfolios have accumulated trillions of dollars since the interest-rate normalization cycle ended, capital that is now actively searching for equity returns. The AI IPO wave represents the most plausible vehicle for redeploying that capital at scale. If the three offerings clear at their expected valuations and trade at a premium in the secondary market, the resulting positive feedback loop could sustain the broader equity bull run well into 2027. Conversely, if any one of the three breaks below its offer price, the psychological damage to the greed mode thesis could be sudden and severe, validating precisely the tail risk that Solomon himself acknowledged.