Google Cloud Commits $750 Million to Accelerate Partners’ Agentic AI Development

Google Cloud has announced a $750 million fund to deliver new resources and incentives to partners in its 120,000-member partner ecosystem to help accelerate joint customers’ transformations with agentic AI. The fund, available for global consulting firms, systems integrators, software partners, and channel partners, will support AI value identification, agentic AI prototyping, agent building and deployment, upskilling, and teams of embedded Google forward-deployed engineers (FDEs).

The fund will support new tools and resources for partners, including AI value assessments, Gemini proofs-of-concept, Gemini Enterprise practice building, agentic AI prototyping and deployment, Wiz security assessments, and usage incentives to accelerate adoption of AI within these companies and their customers.

As part of the expanded investment in partners, Google will embed FDEs alongside major consulting firms and systems integrators like Accenture, Capgemini, Cognizant, Deloitte, HCLTech, PwC and TCS to support customer deployments and solve deep technical challenges.

AI-native services partners are expected to launch Gemini practices as part of Google’s new Gemini Enterprise transformation program. To support these partners, Google Cloud will provide credits for sandbox development, technical upskilling, and referral opportunities to help them rapidly build, test, and deploy agentic solutions for joint customers.

“Google Cloud’s partners are already leaders in agentic AI development and deployment, and have become important channels for distributing AI technologies,” said said Kevin Ichhpurani, president, Global Partner Ecosystem at Google Cloud. “With this expanded funding, we will be able to dedicate new resources and technology to support our partners as they accelerate our mutual customers’ agentic AI journeys.”

Channel Impact^®
This new funding is expected to accelerate the capabilities of Google Cloud’s partner ecosystem— including partners’ ability to assess the full potential of AI, rapidly prototype and prove value, build AI agents and integrate these agents into existing software and workflows—ultimately helping more businesses realize value and benefit from Google Cloud’s AI capabilities.