The U.S. stock exchange just rolled out a rule that could bring high‑profile artificial‑intelligence (AI) companies into its flagship Nasdaq 100 index faster than ever before. At the same time, a wave of mega‑initial public offerings – including SpaceX, OpenAI and Anthropic – is poised to lift billions of dollars into the hands of early investors and the major tech firms that have poured capital into these startups.

Announced on May 1, the new rule allows any company whose market capitalization lands it in the top 40 of the Nasdaq 100 to be added to the index within 15 trading days, cutting the previous 90‑day minimum. The change is meant to keep the index in step with the rapid growth of technology firms, but it also means that index‑fund holders may see exposure to AI IPOs sooner than they expect.

SpaceX, founded by Elon Musk, is slated to go public in June 2026 and could command a valuation of roughly $1.8 trillion. OpenAI, the creator of the GPT series of large language models, was valued at $500 billion after a $6.6 billion share sale in October 2025. Anthropic, founded by former OpenAI employees, had an estimated valuation of $965 billion as of May 2026. Early investors in these companies stand to benefit from the potential upside of a public listing, while the firms’ major backers – Microsoft, Alphabet, Amazon and Nvidia – could see increased demand for their cloud services, computing hardware and other infrastructure.

Those same four technology giants are also significant shareholders in the AI firms they support. Microsoft has invested more than $13 billion in OpenAI and supplies Azure cloud computing resources. Alphabet and Amazon have each invested tens of billions in Anthropic and provide the cloud infrastructure that powers its operations. Nvidia, the leading supplier of AI chips, has invested in several of the emerging AI companies. Because these firms are both investors and customers, a downturn in the AI market could affect the giants on both sides of the transaction, creating a “financial labyrinth” that investors may find difficult to navigate.

A key challenge for investors is determining how much of the reported AI revenue reflects genuine market demand versus self‑reinforcing growth within this tightly knit ecosystem. OpenAI and Anthropic have filed confidential S‑1 registration statements with the U.S. Securities and Exchange Commission, meaning that detailed revenue figures are not yet publicly available. According to technology investor Om Malik, “The question is not whether 25× revenue is too much. The question is whether the revenue is the revenue.” Malik noted that revenue figures would only become clear once the companies disclose them in their SEC filings.

The new Nasdaq rule could amplify the impact of this uncertainty. Index investors who hold Nasdaq 100 funds may see the new AI companies added to the index within a few weeks of their IPOs, potentially increasing the weight of the interconnected tech giants in the index. If the AI boom stalls, the exposure could become a drag on the index’s performance.

Historical parallels can be drawn to the late‑1990s telecom boom and Japan’s late‑1980s asset bubble, where capital flowed among a small group of companies and banks, creating the illusion of robust growth that later collapsed when one participant slowed spending. Investors now face a similar question: how much of the AI sector’s growth is independent demand, and how much is sustained by the same group of investors, suppliers and customers?

In short, the upcoming AI IPOs and the Nasdaq rule are poised to reshape the composition of the Nasdaq 100 and create new opportunities for early investors. However, the intertwined relationships among the major tech firms and the lack of transparent revenue data mean that investors should scrutinize the underlying sources of AI revenue and remain cautious about the potential for a sudden shift in the sector’s dynamics.