The IPO of Anthropic, the artificial intelligence research lab with its flagship product Claude, is among the most widely discussed financial and technological events of the year. In light of its upcoming IPO date, we have analyzed hypothetical scenarios on how the possible unfolding of the stock price in the following month may impact financial markets and relevant sectors.
As a starting point for this analysis, we used the SpaceX IPO as a parallel example. Both offerings set record-high capital inflows of over $50 billion, and both firms are directly related to investor demand for AI and heavy tech infrastructure (despite the fact SpaceX started as a pure aerospace company).
Noting the two companies diverge in fundamental areas such as the valuation of SpaceX was built more on the monopoly physical infrastructure versus the Anthropic value has more digital origin, which is based on the firm’s talent and the promise of future enterprise AI adoption.
Another significant difference is the revenue source. SpaceX has reliable and profitable revenue engines via its Starlink connectivity business, generating cash flow, while Anthropic’s high-growing revenue is heavily exposed to fierce competition, aggressive open-source pricing pressure, and a shifting political environment following the U.S. midterm elections. Both revenue-source differences indicate the expected realization of the price of Anthropic holds more uncertainty and is more prone to volatility, based on the intangibility of its business model.
Additionally, a significant stress factor for the Anthropic IPO and its subsequent price development is the shift in investor sentiment on AI. The environment for this IPO has reshaped with the most recent AI stock sell-off from the first week of November after Democrats achieved majorities in both the Senate and House. This has raised investor concerns about the potential for more regulation of AI and data centers.
The market sell-off radically changed Anthropic’s initial pricing mechanics, pushing down valuations and subsequent market expectations. The initial hyper-growth expectations are now tempered with investors’ demand for proof of sustainable, profitable business models.
The inclusion requirements of some broad indices would not allow Anthropic stock to enter at an early stage, however the tech-tilted indices as well as specific industry sector indices may include the stock shortly after it is traded. The price volatility of this one stock should not have immediate or significant direct impact on the broader indices, where diversification measures are in place. (For details how a factor risk model covers a new listing from its first trading day and how a new position shifts portfolio exposures, read our November 11 analysis, Anthropic IPO: A Risk Perspective.)
However, in our analysis of hypothetical scenarios, the most probable outcome is an indirect impact on the AI-related companies due to a (hypothetical) lower Anthropic valuation a couple of weeks or months after the IPO, as that would signal that investors are no longer willing to pay speculative prices for AI growth. That scenario is similar to how the actual SpaceX price drop triggered a broader correction across the technology sector and stalled the AI investment cycle.
The last couple of years already witnessed a few AI sell-offs, where the market correction from AI-related companies was abrupt with different types of triggers: from launches of competitive low-cost models, increased capital expenditure that did not meet expectations for return on investment, and shifting political and consumer sentiment.
To make our evidence-based analysis more robust, we built it on the market responses observed during AI-related sell-off events over the last couple of years and the impacts on the main investable indices—notably with more focus on the technology-tilted Nasdaq, Nasdaq 100, and S&P Information Technology indices in the table below.
We focus on four events:
A technology market sector shock in January 2025 when the Chinese AI startup DeepSeek released its low- cost reasoning model, which matched the capabilities of leading U.S. models at the time.
A macro revenue correction from October to November 2025 when institutional regulatory bodies issued warnings that massive AI capital expenditures could lead to unsustainable global tech valuations.
The AI bubble reassessment in July 2026, triggered by institutional panic over AI spending as the immediate direct revenue returns from generative AI software firms failed to match hyper-inflated valuations.
Percent Return of Investable Indices Following an AI Market Correction Trigger
We built one moderate scenario for the responses 1 week and 1 month after a hypothetical valuation drop in Anthropic’ s price (based on the average returns from the events presented in the above data table) and a more severe scenario, which is based on the AI drawdown from November 5, 2026.
Moderate scenario – AI market correction – Anthropic price plunge – 1 week:
Nasdaq 100 drops 3%
S&P IT drops 5.5%
VIX index spikes 20%
US corporate bonds drop 0.35%
Moderate scenario – AI market correction – Anthropic price plunge – 1 month:
Nasdaq 100 drops 4%
S&P IT drops 5%
VIX index spikes 17%
US corporate bonds drop 0.2%
Severe scenario – AI market correction – Anthropic price plunge - 1 day:
Nasdaq 100 drops 6.4%
S&P IT drops 7.3%
VIX index spikes by 70%
US corporate bonds drop by 0.1%
We performed the analysis on a set of standard US investable strategies by changing the allocations to equity and bond assets, as shown below. You could execute the same analysis on any investable portfolio and index, as the scenarios are predictive and shock all relevant factors based on their correlation to the shocked indices above.
Aggressive Growth: 100% equities
Growth: 80% equities, 20% corporate bonds
Moderate: 60% equities, 40% corporate bonds
Balanced: 50% equities, 50% corporate bonds
Conservative: 40% equities, 40% corporate bonds, 20% government bonds
Income: 20% equities, 40% corporate bonds, 40% government bonds
Core Bond: 50% corporate bonds, 50% government bonds
A few observations from the analysis, run as of November 10, 2026:
Based on the average returns from the data tables above, we see the 1-week and 1-month responses of the indices are relatively close for bond-tilted strategies. For equity-tilted strategies, the 1-month loss is larger and the gap widens as equity exposure rises.
In an adverse scenario, replicating the most recent observed daily response of the market to an AI market correction is more acute than the average scenarios. It represents the immediate response from November 5, 2026, and shows how sensitive the equity markets—and especially tech-tilted indices—are to AI-related news and political and consumer sentiment changes. The returns represent a sudden, acute panic, leading to surprise valuation slash or emergency repricing.
As expected, equity-heavy investment strategies lost more under all of our hypothetical scenarios, while bond-tilted ones had small to negligible reactions. This aligns with the market observations, the scenario assumptions, and the perception of bonds as a safer asset type in such equity-driven market shocks when volatility originates entirely within the stock market (specifically tech equities) rather than being triggered by outside forces such as credit market freezes, bank failures, or macroeconomic shifts.
The last couple of years show a sufficient number of situations when the market responded to unfolding fears or concerns over the valuations, revenue growth, and sustainability of AI-related companies. This serves as a base for our analysis of hypothetical scenario stress tests, which are based on a plunge in the valuation of Anthropic following its IPO.
However, you could quite easily elaborate or intensify these stress-test scenarios with your own subjective assumptions within the Stress Testing Module of Portfolio Analytics in the FactSet Workstation.
This blog post is for informational purposes only. The information contained in this blog post is not legal, tax, or investment advice. FactSet does not endorse or recommend any investments and assumes no liability for any consequence relating directly or indirectly to any action or inaction taken based on the information contained in this article.