Digital Marketing

Anthropic Can’t Keep Up With Demand And Have Real SEO Results

On May 6, 2026, Anthropic CEO Dario Amodei took to the stage at his company’s developer conference in San Francisco and said something you’ve probably never heard from a tech CEO: Growth is a problem.

Anthropic had planned a 10-fold expansion. It experienced 80 times growth in Q1, year-on-year. Revenue exceeded $30 billion, up from $9 billion by the end of 2025. The company has a funding round weighted at a reported $900 billion — which, if closed on those terms, could surpass OpenAI’s latest post-money valuation of $852 billion. And yet, as Amodei told the audience that day, “I hope the 80-fold growth doesn’t continue because that’s crazy and very difficult to manage.”

He was not submissive. Claude’s demand has already created what Anthropic described as “unavoidable strain on our infrastructure,” hitting reliability and performance during peak hours. A few hours before Amodei took the stage, the company announced an agreement with SpaceX – which, earlier this year, merged with xAI, the company behind the Grok AI models, now renamed SpaceXAI – to take over all the computing capacity of the Colossus 1 data center in Memphis, giving access to more than 300 megawatts of capacity and GPUs00000000, GPUs0000000 GPU.

Details to note: xAI and Anthropic are direct competitors in the modeling layer. The fact that Grok’s infrastructure is now running Claude’s load is a clear sign, however, of how much high-end computing power has shrunk. That is an emergency bridge, not a planned expansion.

So, why should SEO experts, content marketers, and entrepreneurs care about Anthropic infrastructure issues? Because this story is actually about something much bigger than a single company looking for server capacity.

This Has Happened Before

In 2011, I learned I Feel Lucky: Confessions of Google Employee Number 59 by Douglas Edwards, who was Google’s first director of marketing and product management. It was then that I learned how close Google came to war under its success in the early days.

In late 1999, Edwards wrote, “Google began to accelerate its rise in the market. The press began to whisper about the first search engine that really worked, and users began to tell their friends to try Google. More users meant more queries, and that meant more machines.” Then machines became impossible. The global shortage of RAM came at a terrible time, and Google’s system, as Edwards put it, “began to breathe with asthma.”

That infrastructure problem led to decisions that shaped the web for the next two decades. Google has started filtering out duplicate content – even innocuous versions like printer-friendly pages – because each spam page requires additional hardware without improving the user experience. The limit has shaped the product. Product set up SEO.

The Anthropic computer crisis has the same potential, playing out 25 years later on a different scale. The question is not whether they will solve it. They will do it. The question is what decisions will they make under pressure, and how will those decisions reshape the products millions of marketers rely on.

What the Data Really Shows

While looking into what this growth period means for the workforce, I found headlines and data that point in surprisingly different directions.

Rand Fishkin recently shared findings from the Data State of Search Q1 2026 report, which draws on clickstream data from millions of real devices. His summary was pointed: AI is disrupting traditional search – no, the data doesn’t show that. AI tools are growing faster than traditional search in absolute terms – no, traditional search is still outpacing the growth of AI tools overall. AI mode at Google is huge – no, still less than 0.2% share, growing but still small. ChatGPT is from Claude – actually, no. Claude is closing the gap, Gemini is number two and growing, and ChatGPT has grown since September 2025.

This is not a narrative that gets clicks. However, they are what the data says.

At the same time, I went to Think with Google and worked on their report, “The Rise of the Superpower Consumer,” which tells a different part of the same story. Some content needs more attention than it gets. AI overview is used by more than 2 billion people, and users report making decisions faster and with more confidence. AI mode now has more than 75 million active users daily, with nearly 1 in 6 questions using voice or images. Queries in AI Mode run three times longer than normal searches, and sessions are more conversational. Google Lens handles more than 25 billion visual searches every month. Consumers are 2.3 times more likely to use Google Search than ChatGPT in purchasing decisions, and 40% of consumers who use Google AI Mode when shopping say they use ChatGPT less as a result.

Two different pictures from the same time. Both are accurate. No one is perfect alone.

Staff Takeaway

The AI ​​industry produces a firehose of information, and most of it is used at the subject level. The company announces 80-fold growth, and people read it as a story about AI winning. Fishkin publishes data showing traditional search is still outpacing AI tools in sheer volume, and people are reading it as a story about AI losing. Google publishes a consumer report showing AI Overview reaching two billion users, and people read it as confirmation that SEO is dead.

None of this reading is wrong. All are not perfect.

The value of this strategy is not in reading the stories. It is in the continuation of the series – downloading the Datos report, working with the Google consumer research, looking at the CNBC article against the Cryptopolitan analysis of what the Anthropic-SpaceX agreement indicates about the infrastructure war being played between the big AI companies.

Google’s early infrastructure problems produced permanent decisions about duplicate content that employees still navigate. Anthropic’s current will make decisions about scale limits, model availability, enterprise pricing, and computing allocations that will change the way Claude’s powerful tools work for the marketers and developers who use them. Those decisions are already being made.

Employees who understand the context in which those decisions are made will be in a better position than those who only read the headline.

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Featured image: Anton Vierietin/Shutterstock

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