OpenAI valuation reaches $1.25 trillion in new funding round

A cooling AI market

OpenAI recently closed a new funding round totaling $11 billion, according to a source familiar with the matter told Reuters. This investment brings the company's valuation to $1.25 trillion, a significant figure that nonetheless represents a retreat from previous goals. Investors had originally been seeking a valuation in the $1.5 trillion range before the market sentiment shifted.

The report highlights a broader trend of waning enthusiasm for artificial intelligence companies over the last month. This shift is evident in the behavior of major backers who are now more conservative with their price tags. Even though the numbers remain massive, they indicate that the rapid, unchecked appreciation of AI assets is facing a period of correction.

The funding gap is also notable, as the $11 billion represents only a portion of OpenAI's initial $30 billion target. While the company continues to raise capital, the discrepancy suggests that the path to its ultimate financial goals is becoming more complex. Investors are weighing the immense potential of the technology against the growing risks and costs associated with scaling it.

Anthropic and market volatility

The cooling sentiment extends to other major players in the space, such as the AI startup Anthropic. Potential backers are currently valuing Anthropic's planned initial public offering (IPO) at approximately $1.5 trillion. This figure is notably lower than the roughly $2 trillion valuation that was expected earlier in the cycle.

Market turmoil has further complicated the timeline for these companies to go public. Sources familiar with Anthropic's investor discussions suggested that backers are skeptical about the company's ability to proceed with its planned roadshow this week. There is a growing possibility that the company may choose to postpone its November listing until the current market instability subsides.

The broader financial landscape has also seen a sharp downturn, with a recent selloff wiping out $2.5 trillion in market value from the Nasdaq. This represented the largest one-day drop for the exchange since April 2025. Such volatility makes it difficult for high-growth startups to maintain steady momentum during their transition to public markets.

Political and regulatory shifts

A primary driver of this market uncertainty is the anticipation of increased government scrutiny. Investors are worried that Democratic victories in recent midterm elections could lead to stricter oversight of AI-related issues. Specifically, concerns are mounting regarding the construction of large-scale data centers required to power these models.

Lawmakers are currently drafting a series of legislative measures regarding artificial intelligence to be introduced when they assume leadership of Congress in January. These legislative efforts aim to address the cybersecurity threats and financial risks posed by rapid advances in AI. The focus is shifting toward modernizing the way the government monitors the health of financial institutions in an automated era.

One specific proposal is the Real-Time Regulatory Study Act, introduced by Rep. Bill Foster of Illinois. This bill would instruct financial overseers to create, evaluate, and share public versions of demonstration software. As Foster stated, it is more important than ever to modernize monitoring because of the new risks AI creates for the financial sector.

Safety and liability standards

Beyond financial monitoring, new proposals aim to establish concrete safety standards for AI models. Rep. Lori Trahan of Massachusetts plans to pursue a bill that would require independent experts to test AI systems against specific safety benchmarks. This move seeks to move the responsibility of safety from the companies themselves to external auditors.

A critical component of this legislative push involves clarifying the legal landscape for AI developers. The proposed rules would aim to define exactly when and how companies can be held liable for harm caused by their systems. This would create a clearer framework for accountability as these technologies become more integrated into daily life and business operations.

The combination of these regulatory pressures and the cooling investment climate suggests a transition toward a more structured AI industry. While OpenAI may still raise more capital—with reports suggesting the total round could eventually reach $20 billion—the environment is becoming more regulated. Companies will have to navigate both a more cautious investor base and a more demanding set of government requirements.