Fast Company
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Anthropic’s IPO filing is the start of the ‘put up or shut up’ era of AI
Anthropic has filed for an IPO, targeting a $1.5 trillion valuation, with an investor roadshow potentially starting November 9. The company revealed a significant $80.7 billion net loss on $16.3 billion in revenue, though operating losses are decreasing. Anthropic boasts impressive customer engagement, with 250 customers paying over $10 million annually and a 900% net revenue retention. However, the S-1 filing highlights risks, including potential revenue from undesirable users and reliance on cloud providers that are also competitors.The IPO will test investor confidence in AI, with experts like Susannah Streeter noting the turbulent market conditions. While private AI investment has surged, some economists, like Torsten Slok, question AI's financial payoff outside the tech sector. Others, like Tae Kim, argue it's too early for broad economic impact, pointing to Anthropic's explosive 1,300% revenue growth as evidence of demand.Kim highlights the massive demand for computing power, citing rising GPU rental costs and chip shortages as indicators of the "major computing shift." Conversely, skeptics like Gary Marcus and Dan Ives acknowledge the massive near-term losses but focus on the growth trajectory into 2027 and 2028. Anthropic itself acknowledges risks, including competition from cheaper Chinese models.The central question for investors is whether the AI boom mirrors the dot-com bubble or signifies an enduring technological shift. Kim dismisses dot-com comparisons, citing high AI infrastructure utilization and constrained chip supply as key differences. Rival OpenAI also plans an IPO, potentially intensifying market scrutiny and raising concerns about a frothy bubble.Ultimately, investors will assess if Anthropic's growth can yield sustainable profits and if AI's economic benefits will extend beyond tech companies. The upcoming IPOs of Anthropic and OpenAI will provide crucial tests for these assumptions against tangible financial results. Despite concerns, Kim believes the AI revolution is still in its early stages with a bright future.