Blab AI
Corporate AI Spending Surges as U.S. Shuts Down Anthropic Models, Europe Urges Sovereign AI
In the first week of June, the U.S. Commerce Department issued an export‑control directive that forced Anthropic to disable its most advanced models, including Mythos and Fable. The move followed a reported jailbreak that raised national‑security concerns and left European companies scrambling to secure their own AI infrastructure.
The shutdown has amplified a growing debate in Europe about “sovereign AI.” At VivaTech in Paris, industry leaders and policymakers discussed how the continent can reduce its dependence on U.S. models. The conference highlighted the need for local data centers and open‑source alternatives, a sentiment echoed by the recent €2.4 million funding round for Berget AI, a Swedish startup building a sovereign platform.
Meanwhile, corporate spending on AI is accelerating. Uber reportedly exhausted its entire 2026 AI budget in just four months, and its chief operating officer said the cost is becoming harder to justify. A consultant told Axios that a client spent $500 million in a single month after employees were given unrestricted access to generative models. Amazon’s senior vice‑president Peter DeSantis explained that the high costs are a normal part of the technology‑adoption curve, comparing the current phase to the early days of cloud computing.
“Just like every technology, when we first launched the cloud, some of our most successful customers were delighted by the agility… but many of them woke up one day, and they’re like: ‘Wow, we’re spending a bunch of money,’” DeSantis said in an interview with Fortune.
Schneider Electric’s chief AI officer, Philippe Rambach, noted that buyers are becoming more selective. He told Fortune that the company now focuses on matching use cases to cheaper, fit‑for‑purpose models. “On the solutions that we build, we are very cautious to use the right model; you don’t always need to use the latest frontier model,” Rambach said.
The shift toward cost control is mirrored in the broader market. Sensor Tower’s State of AI Report for 2026 shows that ChatGPT’s share of the AI‑assistant market fell below 50% for the first time, reaching 46.4% by the end of May. Gemini holds 27.7% and Claude about 10.3%. Anthropic leads in subscription conversion, with 13% of its users paying for a plan. The report also noted that global AI app spending is on pace to exceed $4.2 billion in the first half of 2026.
Regulatory actions are also tightening. JPMorgan recently removed Anthropic’s Claude from the list of AI tools available to its Hong Kong staff, following a similar decision by Goldman Sachs. The move stems from Anthropic’s licensing terms, which exclude use in Greater China—a category that some banks interpret to include Hong Kong.
In the talent arena, Noam Shazeer, a co‑lead on Google Gemini and co‑founder of Character.AI, announced his departure from Google to join OpenAI. Shazeer has been a key figure in the development of modern LLMs, and his move is part of a broader trend of high‑profile talent shifting between major AI labs.
Apple is preparing its first AI‑focused wearable, a pair of camera‑equipped AirPods slated for release in late 2027. Bloomberg reports that the earbuds will use computer‑vision cameras to feed visual context to Siri, allowing users to ask questions about their surroundings.
Public sentiment toward AI regulation is strong. A Johns Hopkins University survey of more than 2,000 U.S. adults found that 79% want a human option for medical care, 76% for legal proceedings, and 74% for education. Across sectors, 75% want to be told when they are interacting with AI, 73% want AI banned from using individuals’ faces and voices, and 68% want labels on AI‑generated images and video.
The convergence of rising corporate costs, regulatory tightening, and public demand for transparency underscores a pivotal moment for the AI industry. Companies are moving from experimentation to optimization, seeking to demonstrate clear business value while managing budgets. At the same time, governments are grappling with how to balance innovation with security and ethical considerations.
As the U.S. continues to enforce export controls and European policymakers push for sovereign AI, the next few months will likely see intensified investment in local infrastructure, clearer usage guidelines, and a reevaluation of how generative models are deployed across industries.
The industry will be watching closely how these dynamics play out, especially as new models like OpenAI’s GPT‑5.5 roll out and as companies like Apple introduce AI‑enhanced hardware. The trajectory of AI spending, regulatory frameworks, and public trust will shape the next wave of AI adoption.
The shutdown has amplified a growing debate in Europe about “sovereign AI.” At VivaTech in Paris, industry leaders and policymakers discussed how the continent can reduce its dependence on U.S. models. The conference highlighted the need for local data centers and open‑source alternatives, a sentiment echoed by the recent €2.4 million funding round for Berget AI, a Swedish startup building a sovereign platform.
Meanwhile, corporate spending on AI is accelerating. Uber reportedly exhausted its entire 2026 AI budget in just four months, and its chief operating officer said the cost is becoming harder to justify. A consultant told Axios that a client spent $500 million in a single month after employees were given unrestricted access to generative models. Amazon’s senior vice‑president Peter DeSantis explained that the high costs are a normal part of the technology‑adoption curve, comparing the current phase to the early days of cloud computing.
“Just like every technology, when we first launched the cloud, some of our most successful customers were delighted by the agility… but many of them woke up one day, and they’re like: ‘Wow, we’re spending a bunch of money,’” DeSantis said in an interview with Fortune.
Schneider Electric’s chief AI officer, Philippe Rambach, noted that buyers are becoming more selective. He told Fortune that the company now focuses on matching use cases to cheaper, fit‑for‑purpose models. “On the solutions that we build, we are very cautious to use the right model; you don’t always need to use the latest frontier model,” Rambach said.
The shift toward cost control is mirrored in the broader market. Sensor Tower’s State of AI Report for 2026 shows that ChatGPT’s share of the AI‑assistant market fell below 50% for the first time, reaching 46.4% by the end of May. Gemini holds 27.7% and Claude about 10.3%. Anthropic leads in subscription conversion, with 13% of its users paying for a plan. The report also noted that global AI app spending is on pace to exceed $4.2 billion in the first half of 2026.
Regulatory actions are also tightening. JPMorgan recently removed Anthropic’s Claude from the list of AI tools available to its Hong Kong staff, following a similar decision by Goldman Sachs. The move stems from Anthropic’s licensing terms, which exclude use in Greater China—a category that some banks interpret to include Hong Kong.
In the talent arena, Noam Shazeer, a co‑lead on Google Gemini and co‑founder of Character.AI, announced his departure from Google to join OpenAI. Shazeer has been a key figure in the development of modern LLMs, and his move is part of a broader trend of high‑profile talent shifting between major AI labs.
Apple is preparing its first AI‑focused wearable, a pair of camera‑equipped AirPods slated for release in late 2027. Bloomberg reports that the earbuds will use computer‑vision cameras to feed visual context to Siri, allowing users to ask questions about their surroundings.
Public sentiment toward AI regulation is strong. A Johns Hopkins University survey of more than 2,000 U.S. adults found that 79% want a human option for medical care, 76% for legal proceedings, and 74% for education. Across sectors, 75% want to be told when they are interacting with AI, 73% want AI banned from using individuals’ faces and voices, and 68% want labels on AI‑generated images and video.
The convergence of rising corporate costs, regulatory tightening, and public demand for transparency underscores a pivotal moment for the AI industry. Companies are moving from experimentation to optimization, seeking to demonstrate clear business value while managing budgets. At the same time, governments are grappling with how to balance innovation with security and ethical considerations.
As the U.S. continues to enforce export controls and European policymakers push for sovereign AI, the next few months will likely see intensified investment in local infrastructure, clearer usage guidelines, and a reevaluation of how generative models are deployed across industries.
The industry will be watching closely how these dynamics play out, especially as new models like OpenAI’s GPT‑5.5 roll out and as companies like Apple introduce AI‑enhanced hardware. The trajectory of AI spending, regulatory frameworks, and public trust will shape the next wave of AI adoption.
