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FTC report scrutinizes OpenAI’s and Anthropic’s partnerships with cloud giants

Complicated, opaque partnerships raise concerns of competition and fair business practices in a fast-moving industry.

On the last working day of Lina Khan’s FTC, the agency announced the release of a report that examines the terms of three of the largest deals between AI companies and cloud-computing giants, after requesting information from the parties in January 2024. The deals examined:

The agency requested nonpublic details of the partnerships from the companies, as part of the agency’s effort to monitor competition and power dynamics in the fast-moving AI industry.

In the announcement, outgoing FTC chair Lina Khan wrote:

“As companies rapidly deploy generative AI technologies, enforcers and policymakers must stay vigilant to guard against business strategies that undermine open markets, opportunity, and innovation. The FTC’s report sheds light on how partnerships by big tech firms can create lock-in, deprive start-ups of key AI inputs, and reveal sensitive information that can undermine fair competition.”

Microsoft’s partnership with OpenAI, for example, contains many elements that could have huge implications for the industry. The deal calls for Microsoft’s to be the “exclusive cloud provider” for OpenAI’s computing needs and for Microsoft to build a massive supercomputer “in collaboration with and exclusively for OpenAI.”

Recently, The Information reported that key terms of this deal were still being negotiated, including Microsoft’s equity stake in OpenAI, and the definition of the moment when OpenAI actually achieves “artificial general intelligence” (which would signal the end of the deal).

The redacted report examined the terms of the deals, including equity and revenue sharing, exclusivity rights, infrastructure spending commitments, the sharing of key employees, and the exchange of proprietary technology and sensitive business information. The report also examined how many of the cloud providers are starting to work on their own specialized GPUs to reduce dependence on industry AI-chip leader Nvidia.

The report listed some areas of concern that should continue to be scrutinized, such as a cloud-service provider deciding to sell its services only to its partners, or one partnership affecting the availability of AI engineering talent.

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Meta is bringing back facial recognition for its smart glasses

Meta is reviving its highly controversial facial recognition efforts, with plans to incorporate the tech into its smart glasses as soon as this year, The New York Times reports.

In 2021, around the time Facebook rebranded as Meta, the company shut down the facial recognition software it had used to tag people in photos, saying it needed to “find the right balance.”

Now, according to an internal memo reviewed by the Times, Meta seems to feel that it’s at least found the right moment, noting that the fraught and crowded political climate could allow the feature to attract less scrutiny.

“We will launch during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns,” the document reads.

The tech, called “Name Tag” internally, would let smart glass wearers identify and surface information about people they see with the glasses by using Meta’s artificial intelligence assistant.

Now, according to an internal memo reviewed by the Times, Meta seems to feel that it’s at least found the right moment, noting that the fraught and crowded political climate could allow the feature to attract less scrutiny.

“We will launch during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns,” the document reads.

The tech, called “Name Tag” internally, would let smart glass wearers identify and surface information about people they see with the glasses by using Meta’s artificial intelligence assistant.

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Anthropic raises $30 billion, now valued at $380 billion

Anthropic is now valued at $380 billion, after closing on its latest round of fundraising, taking in $30 billion from a wide range of investors. The Series G round was co-led by D. E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and the UAE’s investment arm, MGX.

Some other investors include: Qatar Investment Authority (QIA), Sequoia Capital, Fidelity Management & Research Company, JPMorgan Chase, Lightspeed Venture Partners, Microsoft, and Nvidia.

Anthropic offered a few details on the current state of its business:

  • Anthropic said that its annual run-rate revenue has reached $14 billion, seeing 10x growth each of the past three years.

  • “The number of customers spending over $100,000 annually on Claude (as represented by run-rate revenue) has grown 7x in the past year.”

  • “Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026.”

  • Business subscriptions to Claude Code have quadrupled since the start of 2026.

In a blog post announcing the round, the company said:

“We train and run Claude on a diversified range of AI hardware — AWS Trainium, Google TPUs, and NVIDIA GPUs — which means we can match workloads to the chips best suited for them. This diversity of platforms translates to better performance and greater resilience for the enterprise customers that depend on Claude for critical work.”

Anthropic offered a few details on the current state of its business:

  • Anthropic said that its annual run-rate revenue has reached $14 billion, seeing 10x growth each of the past three years.

  • “The number of customers spending over $100,000 annually on Claude (as represented by run-rate revenue) has grown 7x in the past year.”

  • “Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026.”

  • Business subscriptions to Claude Code have quadrupled since the start of 2026.

In a blog post announcing the round, the company said:

“We train and run Claude on a diversified range of AI hardware — AWS Trainium, Google TPUs, and NVIDIA GPUs — which means we can match workloads to the chips best suited for them. This diversity of platforms translates to better performance and greater resilience for the enterprise customers that depend on Claude for critical work.”

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