What Twin IPO Filings Say About AI’s New Phase
OpenAI and Anthropic’s near-simultaneous IPO filings mark a turning point where frontier AI labs stop behaving like experimental ventures and start operating as large, accountable public businesses shaped by quarterly scrutiny, broad shareholder bases, and market expectations for durable revenue and profit growth. Within one week, Anthropic confidentially filed for an IPO on June 1 and OpenAI followed on June 8, a pairing that would have seemed unlikely when AI was still framed mainly as a research gamble. Both firms are already heavyweights: OpenAI reports about 900 million weekly active users and USD 2 billion (approx. RM9.2 billion) in monthly revenue, while Anthropic projects USD 10.9 billion (approx. RM50.1 billion) in Q2 revenue and a USD 47 billion (approx. RM216.2 billion) annualized run rate. Their move signals that AI is now a mainstream, large-scale business ready for public markets.
Valuations and Investor Confidence in AI Public Markets
OpenAI’s IPO filing comes after a record USD 122 billion (approx. RM560.8 billion) fundraise in March at an USD 852 billion (approx. RM3.9 trillion) valuation, while Anthropic’s confidential filing follows a USD 65 billion (approx. RM298.8 billion) round at a USD 965 billion (approx. RM4.4 trillion) valuation. These figures show extraordinary investor confidence ahead of any OpenAI IPO filing or Anthropic IPO valuation set by public markets. According to Stark Insider, OpenAI has raised about USD 180 billion (approx. RM826.8 billion) across 15 rounds, and Anthropic has crossed a USD 47 billion (approx. RM216.2 billion) annualized revenue run rate. Rather than raising cash out of necessity, both firms are shifting toward public markets to gain liquidity for acquisitions and broaden their shareholder bases. Traditional capital markets are signaling that scaled AI businesses deserve the same attention as established platform companies.
From Venture Darlings to Public AI Platforms
The OpenAI IPO filing and Anthropic’s listing plans highlight a clear transition: the most visible AI companies are moving from venture-backed experiments to enduring public platforms. Both started with mission-heavy structures focused on safety and long-term impact, but public investors will demand clearer paths to sustained profit. OpenAI’s model spans ChatGPT, GPT-5 and enterprise APIs sold to over one million business customers, plus more than 50 million consumer subscribers. Anthropic has Claude, Claude Code and Claude Cowork and counts more than 300,000 business customers, including Netflix, Spotify, KPMG, L’Oréal and Salesforce. Going public turns these offerings into the core of a transparent, benchmarked business story. The shift signals that AI industry public markets activity will increasingly center on companies that can show reliable, recurring revenue rather than speculative model launches alone.
Industry Consolidation and the AI Company IPO Wave
The twin filings fit into a wider consolidation of AI power. Tech giants have integrated large language models into their core suites, while Meta’s Llama open weights put pressure on the pricing of proprietary APIs. In that setting, the AI company IPO wave is a scale play: OpenAI and Anthropic want public equity to fund acquisitions, recruit global talent, and keep pace with incumbents that already enjoy vast distribution. The move also coincides with SpaceX’s S-1 for its combined SpaceX-xAI entity, amplifying the sense that advanced AI belongs on public exchanges, not just in private labs. As more AI industry public markets listings appear, mid-tier startups may find that exit paths concentrate around being acquired by a few large, well-capitalized AI and platform players.
New Pressures for AI Safety, Startups, and Capital Flows
Public status will reshape incentives across the AI landscape. OpenAI and Anthropic have long emphasized safety-first cultures and long-term missions, but quarterly reporting and growth targets can make cautious product rollouts harder to justify. This tension will influence how fast they ship new models and how they weigh risk against speed. For startups, the presence of two newly public AI leaders with enormous market caps and spending power changes the funding map. Venture investors may back fewer, more differentiated bets, expecting that most successful AI application companies will partner with or sell to the largest model providers. Capital that once chased early-stage AI research may flow toward companies that can plug into these public ecosystems. The era of AI as a speculative research project has given way to AI as a visible, market-tested business.
