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NewsMaterial3 min readDisconfirmAI Editorial

Consultant Jason Bloomberg: Anthropic's Prospectus Omits the Potentially Fatal Risk of Diseconomies of Scale

In a column, Intellyx founder Jason Bloomberg argues that frontier large language model vendors must simultaneously upgrade increasingly expensive specialized hardware and continuously train new experts. This exposes them to diseconomies of scale never experienced by cloud providers, fundamentally altering the assumptions investors use to evaluate Anthropic's path to profitability.

2026-10-30 23:26 GMT+8

Jason Bloomberg is the founder and managing director of Intellyx, a firm that advises business leaders and technology vendors on digital transformation strategies. In a guest column published on SiliconANGLE on October 30, 2026, he raised a sharp question regarding Anthropic’s initial public offering (IPO): The prospectus, which lists 88 risk factors across 93 pages, omits a potentially fatal risk—diseconomies of scale.

His argument begins with a seemingly reasonable analogy: since the AI industry, like cloud computing, requires massive data center construction, can frontier model vendors also reap the benefits of economies of scale that cloud providers once enjoyed? Bloomberg believes this assumption is likely incorrect.

He first reviews two known models of economies of scale. Traditional software vendors benefit from negligible marginal costs—once an application is developed, the cost of delivering additional copies to more customers is minimal. Cloud providers combine software and hardware: while each physical server has a cost, hyperscale cloud vendors achieve economies of scale by deploying massive numbers of standardized servers. As their business expands, the cost per unit of output (such as one server instance or one unit of cloud storage) continues to decline.

Bloomberg points out that the economic reality for frontier large language model vendors differs from both of these. On the hardware front, Anthropic has required GPUs and other high-end specialized hardware from day one. As models iterate rapidly, the demand for specialized processors continues to escalate—these hardware components only become more expensive, rather than cheaper as they are purchased in volume, unlike standardized servers. Although cloud providers later added various specialized hardware instance types, this did not change the fundamental economic structure of the cloud business.

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The difference is equally significant on the human resources front. Cloud administrators can easily scale from managing one thousand servers to ten thousand or even one million as the underlying platform matures. However, Bloomberg argues that frontier model vendor teams must constantly upgrade their professional capabilities. New generation large language models are not simply scaled-up versions of older ones; each requires new human expert knowledge. Anthropic is racing against competitors to launch increasingly powerful models within unprecedented timeframes, imposing diseconomies of scale on its teams that cloud providers have never had to face.

Superimposing the triple pressures of increasing hardware costs, accelerated software innovation, and continuous workforce upskilling, Bloomberg concludes: This creates diseconomies of scale the technology industry has never seen before. We are so accustomed to the zero marginal cost of software and the massive economies of scale of the cloud that we are entirely unprepared for this new reality that frontier LLM vendors must navigate.

He acknowledges one possibility: if models become sufficiently powerful and hardware performance adequate, a plateau might emerge where familiar economies of scale take over again. But he immediately adds that no such plateau is currently in sight.

The article ends by posing a core question to potential investors: Is Anthropic’s leading position in the LLM market a strength or a weakness? How far can it innovate and grow before its products become too expensive for customers to accept? And what will it do then?

At the end of the piece, Bloomberg discloses that Anthropic is not a client of Intellyx.

Sources

  • siliconangle.comSiliconANGLE↗
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