The Google-Anthropic partnership made trust the strategy behind a $30B run rate

Google LLC and Anthropic PBC are two of the most powerful forces shaping enterprise AI. As agentic deployments demand platforms that are both capable and safe to build on, the Google-Anthropic partnership is fast becoming the model others are measured against.

Google and Anthropic have spent three years building one of the most consequential partnerships in enterprise AI, with Anthropic’s annual revenue run rate surging from $9 billion at the end of 2025 to more than $30 billion in early 2026. The underlying ambition is to give enterprises a single, trusted platform for building AI for the long term, according to Jim Anderson (pictured, left), vice president of the North America partner ecosystem and channels at Google Cloud.

“Our strategy is to provide a full AI financial stack and really to try to de-risk a customer’s journey for AI,” Anderson said. “We do that by working with partners — third-party partners and first-party partners — to give customers the agility to make sure they can pick the right technology for the right time and the right environment that they’re working with. That’s really what it’s about right now — getting that time to value, de-risking the journey and working closely with partners.”

Anderson and Dan Rosenthal (right), head of cloud partnerships at Anthropic, spoke with theCUBE’s John Furrier at Google Cloud Next, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how the Google-Anthropic partnership is scaling enterprise AI adoption through trust. (* Disclosure below.)

Google-Anthropic partnership drives enterprise AI adoption at scale

The enterprise adoption story has accelerated across three dimensions simultaneously: employee productivity, internal process reinvention and externally-facing product transformation. Customers are no longer sequencing those investments — they are pursuing all three at once, and coding has emerged as the fastest-moving entry point, Rosenthal noted. Google Cloud’s developer tools and global reach have made it a natural accelerator for that coding transformation, turning what might have been gradual adoption into a sprint.

“Literally every enterprise in the world is using this technology and wants to go deeper in it,” Rosenthal said. “Every company in the world is thinking, ‘How do I adopt this? How do I write software more quickly, more efficiently [and with] better quality?’ We’ve gone from a nine billion run rate to north of 30 billion here in three months since the start of the year. We can’t do that without a partner like Google.”

To help partners and customers accelerate that journey, Google Cloud committed $750 million at Google Cloud Next 2026 to arm its 120,000-member ecosystem with skills, tooling and forward-deployed engineering capacity. Mutual customers like Shopify Inc., which built its AI-powered Sidekick agent on Google Cloud and Claude, and Palo Alto Networks Inc., which has seen a 20% to 30% increase in engineering velocity using Gemini Enterprise, illustrate where ROI is becoming tangible, Anderson explained. Beneath those results lies something harder to manufacture than capability: trust, Rosenthal added.

“We are a partnership you can trust and we do that by leading with choice,” Rosenthal said. “There are going to be some use cases that it’s better with Gemini, others better with Claude. But … Google Cloud plus Anthropic is where an enterprise can build for the long term with confidence and trust us to do the right thing in terms of how we build safety into our models — into the depth and sophistication of the infrastructure that underlies them.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Google Cloud Next:

(* Disclosure: TheCUBE is a paid media partner for Google Cloud Next. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE