Anthropic launched Fable 5 as its most advanced and expensive model to date, but the numbers tell a very different story from what anyone expected. And look, this story is starting to worry the company on the eve of what could be one of the biggest IPOs of all time.
Data collected by Ramp, a payments company that tracks spending across 70,000 businesses, shows that Fable 5 accounts for only about 11% of total spending on Anthropic tools, even after more than two months on the market. That number has plateaued and never took off the way a lot of people expected.
The reason? Corporate users are choosing cheaper alternatives, and this trend is already raising serious questions about the future of the company’s business model. 🤔
What is happening here goes well beyond a simple price preference. It is a real shift in behavior across the artificial intelligence market, where efficiency and cost-effectiveness are starting to speak louder than raw processing power. And that changes the game significantly for every company betting big on cutting-edge model development.
Why are companies ignoring Fable 5?
The short answer is money. But the full answer is a lot more interesting than that. Anthropic‘s Fable 5 hit the market in early June with a clear pitch: it was the most capable model the company had ever built. The problem is that those improvements come at a price — literally. The cost of Fable 5 is considerably higher than its predecessors, which still get the job done for most enterprise tasks.
As Miles Clements, a partner at Accel who has invested close to 1 billion dollars in Anthropic, put it: most people do not need to operate at the frontier of technology. According to him, the period when customers only picked the most advanced models was never going to last. And the Ramp data backs up that reading pretty directly.
Corporate users are making a rational choice. For most day-to-day tasks — summarizing documents, answering emails, generating drafts, and automating simple workflows — older and cheaper models work just fine. Paying several times more for a model that delivers marginal gains in very specific use cases simply does not make sense for the majority of operations. 💡
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Clements also makes an important point: advances in intelligence are still essential for delivering on the more ambitious promises these companies make, like curing diseases and attracting top researchers. But increasingly, those advances will serve as showcases rather than necessarily being the best-selling products in everyday use.
The rocky launch that held back liftoff
Fable 5 did not have an easy start. Its launch in early June was interrupted by the Trump administration, which forced Anthropic to pull the model from the market citing national security concerns. The model only got the green light to return on July 1.
Since then, concerns about access restrictions on Fable have largely faded. Political uncertainty became a secondary factor compared to price and performance when customers decided which model to use. In other words, even with the political dust settled, adoption never gained the momentum everyone expected.
Ara Kharazian, chief economist at Ramp, points out that data retention rules imposed by the Trump administration also hurt Fable adoption. Multiple factors stacked up to create an unfavorable scenario right out of the gate.
The AI market is shifting quietly
What the Ramp data reveals about Fable 5 is not a problem unique to Anthropic. It is a signal of something much bigger happening across the artificial intelligence ecosystem as a whole. For a long time, the industry race was defined by a simple logic: whoever has the most powerful model wins. But the enterprise market is starting to challenge that logic in a very practical way.
The proliferation of competent and affordable alternatives is creating a new landscape. The availability of open-weight models coming out of China and elsewhere has given customers far more options outside the major American labs. That forces companies like Anthropic to rethink their pricing strategy, because the argument that the most expensive model is always the best one simply does not hold up anymore.
There is also the question of specialization. The market is moving toward a model where different tools are used for different tasks. Companies are building architectures where cheaper models handle the heavy lifting on volume, while more capable models are reserved for the most critical cases. In that scenario, having the most powerful model in the portfolio does not guarantee market share if it is not positioned correctly within this combined-use logic.
Interestingly, Anthropic itself has an example of this in-house. Opus 5, a smaller but still powerful model with a lower price tag, has already surpassed Fable in enterprise spending since its late July launch, according to Ramp. In other words, the company’s own customers are migrating to the more economical option within its catalog.
Anthropic’s IPO and the weight of real numbers
Anthropic is gearing up for one of the most anticipated IPOs in the tech sector, with investors anticipating a valuation of 2 trillion dollars or more that could happen as early as next month. The data on Fable 5 adoption arrives at a pretty delicate moment.
Anthropic‘s July revenue came in below the most optimistic investor expectations, which projected annualized sales surpassing 80 billion dollars. Last week, the company told shareholders that monthly revenue hit 65 billion dollars on an annualized basis, up from the 47 billion recorded in May. Strong growth, no doubt, but still short of what the most bullish crowd was dreaming about.
And it is worth highlighting here: the startup led by CEO Dario Amodei is still growing at an impressive pace, with revenue increasing nearly sevenfold since the beginning of the year. The company posted its first adjusted operating profit in the second quarter and signaled to investors that it expects to be profitable again in the third quarter. It also reported having 6,000 customers spending 100,000 dollars or more per year. Anthropic declined to comment on the matter.
The bigger strategic question is: how will Anthropic balance massive investment in research with the reality of a market that is voting with its credit card for more affordable alternatives? That tension does not have an easy answer, but it will define a lot of the company’s trajectory over the next few years. 📊
What about the competition? OpenAI is fighting back
While Fable 5 struggles, Sam Altman’s OpenAI appears to be regaining ground after spending much of 2026 at a disadvantage. The ChatGPT maker’s annualized revenue jumped 35% in the quarter so far and already exceeds 40 billion dollars.
A big part of that momentum came with the launch of GPT 5.6 in July, which revived the company’s performance after a sluggish start to the year. And here is an important detail: GPT 5.6 is priced significantly lower than Fable 5. Once again, cost is front and center in this battle.
Kharazian from Ramp admits that predicting Anthropic‘s trajectory even a few months out is a nearly impossible task. According to him, if you followed previous trends, you would have expected Anthropic to dominate the market. But because OpenAI’s newest model performed so well and Fable underperformed expectations, exactly the opposite happened.
What this means for everyday AI users
For companies and professionals using artificial intelligence tools, this scenario carries a very practical message. The idea that you always need the most powerful model available to get good results is, in most cases, an expensive myth. Understanding the profile of each task and choosing the right model for each situation is a skill that is becoming more valuable by the day.
The trend that the Ramp data captures — corporate users preferring cheaper alternatives over Fable 5 — reflects a growing maturity in how companies use AI. The phase of experimentation and fascination with the newest and most powerful option is giving way to a more pragmatic phase, where return on investment, cost per task, and spending predictability matter just as much as technical capability.
For Anthropic and the sector as a whole, the message is clear: technical innovation needs to go hand in hand with a value proposition that makes sense for the bottom line and for real-world business operations. Incredible models that end up underutilized because they are too expensive to run at scale are not a product success, no matter how many benchmarks they win. The future of the AI market will be built by those who can balance these two dimensions intelligently. 🚀
