VC Questions OpenAI IPO Intentions While Betting on Anthropic Blockbuster Listing

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Michael Fertik of Verdict Capital has expressed skepticism regarding OpenAI's public listing intentions, suggesting that rival Anthropic could serve as a blockbuster alternative if its competitor remains private. During a recent CNBC interview, Fertik raised doubts about the clarity and financial neatness of OpenAI's leaked metrics. Meanwhile, Anthropic reportedly shared its third-quarter financial results with prospective investors, revealing a substantial surge in revenue to $16.8 billion, up from $11.6 billion in the second quarter and $4.7 billion in the first. The Claude developer also posted a positive free cash flow, an adjusted gross margin of 85 percent, and an adjusted operating margin exceeding 11 percent. These robust figures surfaced alongside a broader tech sector selloff driven by hotter-than-usual U.S. inflation data and mounting concerns over soaring artificial intelligence valuations and massive infrastructure spending across chipmakers and cloud providers like Microsoft, Amazon, and Alphabet.

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Anthropic's Q3 revenue surged to $16.8 billion, raising expectations for an initial public offering. On the other hand, overlapping concerns over rising U.S. inflation and AI overvaluation caused the Nasdaq to drop 1.9% and semiconductor ETFs to plummet 8.7%. Investors are closely monitoring the earnings of major AI companies and the sustainability of their massive infrastructure spending.

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Anthropic's strong earnings and the potential pursuit of a $2 trillion IPO reaffirmed the fundamentals of the AI sector, but simultaneously fueled valuation controversies driven by its steep rally. Particularly, coinciding with the U.S. inflation shock, large-scale profit-taking emerged across semiconductors and general tech stocks, triggering a sharp decline.

The future direction of stock prices will depend on the continuity of AI infrastructure investments by major cloud providers and chipmakers, as well as Anthropic's actual listing schedule and valuation. Investors should use the trend of profitability improvement among AI companies in a high-interest-rate environment and macroeconomic indicators as core monitoring metrics.

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