On May 6, 2026, Anthropic CEO Dario Amodei took the stage at his company’s developer conference in San Francisco and said something you almost never hear from a tech CEO: Growth is the problem.
Anthropic had predicted a 10-fold increase. The result was 80-fold growth in the first quarter, on an annualized basis. Revenue has surpassed $30 billion, up from $9 billion at the end of 2025. The company is eyeing a funding round at a reported valuation of $900 billion – which, if closed on these terms, would likely surpass OpenAI’s most recent post-money valuation of $852 billion. And yet, as Amodei told the audience that day: “I hope this 80-fold growth doesn’t continue because it’s just crazy and too much to handle.”
He was not falsely modest. Request for Claude has already created what Anthropic described as “unavoidable strain on our infrastructure,” affecting reliability and performance during peak hours. Hours before Amodei took the stage, the company announced a deal with SpaceX — which earlier this year merged with xAI, the company behind the Grok AI models, now renamed SpaceXAI — to take over the entire computing capacity of the Colossus 1 data center in Memphis, giving it access to more than 300 megawatts of capacity and 220,000 Nvidia GPUs.
The detail should be noted: xAI and Anthropic are direct competitors at the model layer. The fact that Grok’s infrastructure is now running Claude’s workloads is the clearest signal yet of how limited high-end computing capacity has become. This is a bridge built under emergency conditions, not a planned expansion.
So why should SEO professionals, content marketers, and entrepreneurs care about Anthropic’s infrastructure issues? Because this story is actually about something much bigger than a company scrambling to get capacity on its servers.
This has already happened
In 2011, I read I’m lucky: the confessions of Google employee number 59 by Douglas Edwards, who was Google’s first director of marketing and brand management. That’s when I realized how close Google was to giving in to its own early success.
In late 1999, Edwards wrote: “Google began to accelerate its rise to market dominance. The media began whispering about the first search engine that actually worked, and users began telling their friends to try Google. More users meant more queries, and that meant more machines.” Then the machines became impossible to obtain. A global RAM shortage hit at the worst possible time, and Google’s system, as Edwards puts it, “started wheezing asthmatically.”
This infrastructure crisis led to decisions that shaped the web for the next two decades. Google began filtering out duplicate content – even non-malicious versions like printable pages – because each redundant page required material to be added without improving the user experience. Constraint shaped the product. The product shaped SEO.
Anthropic’s IT crisis is the same dynamic, playing out 25 years later on a different scale. The question is not whether they will solve it. They will. The question is what decisions they will make under pressure and how those decisions will reshape the products that millions of marketers depend on.
What the data actually shows
When I researched what this moment of growth meant for practitioners, I found headlines and data pointing in startlingly different directions.
Rand Fishkin recently shared the findings of the Datos Q1 2026 Research Status report, which draws on journey data from tens of millions of real devices. His summary was precise: AI is disrupting traditional research – no, the data doesn’t show that. AI tools are growing faster than traditional search in absolute terms. No, traditional search still outpaces the growth of AI tools in absolute terms. Google’s AI mode is huge – no, its share is still less than 0.2%, growing but still small. ChatGPT is moving away from Claude – actually no. Claude closes the gap, Gemini is in second place and growing, and ChatGPT has reached a plateau since September 2025.
It’s not the stories that generate clicks. But that’s what the data says.
At the same time, I went to Think with Google and worked on their report, “The rise of the super-authorized consumer“, which tells another part of the same story. Some of what’s there deserves more attention than it gets. AI Overviews 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 daily active users, with nearly 1 in 6 queries using voice or images. AI Mode queries last three times longer than traditional searches, and sessions are becoming longer Google Lens powers more than 25 billion visual searches each month Shoppers are 2.3 times more likely to use Google Search than ChatGPT for purchasing decisions, and 40% of consumers who use Google AI to shop say they use ChatGPT less as a result.
Two different images of the same moment. Both accurate. Neither is complete on its own.
What to remember for practitioners
The AI industry generates a wealth of information, most of which is consumed at the headline level. A company announces 80x growth, and people read that as an AI success story. Fishkin releases data showing traditional search still outperforms AI tools in absolute volume, and people read it as a story about the doom of AI. Google releases consumer report showing AI previews reaching 2 billion users, and people are reading it as confirmation that SEO is dead.
None of these readings are wrong. All are incomplete.
The strategic value does not lie in reading the information. It’s about following the thread further — downloading the Datos report, working on Google’s consumer research, checking the CNBC article against the Cryptopolitan analysis of what the Anthropic-SpaceX deal actually signals about the infrastructure war playing out between big AI companies.
Google’s first infrastructure crisis led to lasting decisions regarding duplicate content that practitioners are still navigating. Anthropic’s current will produce decisions on throughput limits, model availability, enterprise pricing, and compute allocation that will shape how Claude-based tools work for the marketers and developers who use them. These decisions have already been made.
THE practitioners who understand the context those who come from these decisions will be better placed than those who only read the title.
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Featured image: Anton Vierietin/Shutterstock
