Google Cloud is betting three-quarters of a billion dollars that the fastest path to enterprise AI adoption runs through the world's biggest consulting firms. At its annual Cloud Next conference on April 22, the company unveiled a $750 million fund designed to arm consulting giants -- including McKinsey, Accenture, Deloitte, and KPMG -- with the resources, engineering talent, and early model access they need to deploy agentic AI at scale for their clients.
The move represents the largest single partner investment commitment from any major cloud provider, and it signals a decisive shift in the hyperscaler wars: the battlefield is no longer just infrastructure, but the armies of consultants and systems integrators who actually put that infrastructure to work inside Fortune 500 companies.
What the Fund Covers
The $750 million will flow to partners across Google Cloud's 120,000-member ecosystem, spanning global consulting firms, systems integrators, software partners, and channel partners. The money will finance a broad range of activities: AI value identification assessments, agentic AI prototyping and deployment, Gemini Enterprise practice building, Wiz security assessments, upskilling programs, and usage incentives to accelerate adoption.
Critically, Google will embed its own forward-deployed engineers (FDEs) alongside major consulting firms and systems integrators -- including Accenture, Capgemini, Cognizant, Deloitte, Devoteam, HCLTech, PwC, and TCS -- to help solve deep technical challenges during live customer deployments. Partners will also receive early access to Google's multimodal Gemini models, giving them a head start on building agentic solutions before competitors.
Google Cloud CEO Thomas Kurian framed the investment as a response to a fundamental change in how enterprises use AI. "The evolution of AI models is now changing what people are trying to do with them," Kurian said. "In the past, models were primarily used to answer questions from users submitting prompts and to generate content. Increasingly, however, models are now being asked to do tasks, to use tools, to have skills and to be able to do tasks on behalf of users."
The McKinsey Google Transformation Group
Alongside the broader fund, Google Cloud and McKinsey & Company announced a deeper, more structured partnership: the McKinsey Google Transformation Group. The new entity combines McKinsey's strategy, industry expertise, and transformation delivery capabilities with Google Cloud's full AI stack -- from compute accelerators and multimodal Gemini models to Gemini Enterprise -- to help clients move from AI pilots to enterprise-scale transformation.
The group will operate through joint teams, co-funded value assessments, and outcome-based commercial models, aiming to reduce upfront investment for clients while tying fees to measurable business results.
Bob Sternfels, Global Managing Partner of McKinsey & Company, made clear that the partnership is about more than technology adoption. "AI is pushing organizations to transform how they capture value and operate end to end," Sternfels said. "The McKinsey Google Transformation Group helps our clients move beyond pilots and fundamentally rewire their business by combining deep technology capabilities with industry and transformation expertise to reshape core processes at scale."
Why It Matters
The fund arrives at an inflection point for enterprise AI. While most large companies have experimented with generative AI over the past two years, the shift from copilot-style assistants to autonomous agentic AI -- systems that can independently execute multi-step business processes -- demands a far deeper level of integration, change management, and technical architecture. That is precisely the kind of work that consulting firms specialize in.
By financing the consultancies directly, Google is effectively subsidizing demand creation for its own cloud platform. Every AI agent built on Gemini, every agentic workflow prototyped with Google's FDEs, locks in another enterprise workload on Google Cloud. It is a channel strategy dressed in the language of AI transformation, and it is remarkably well-calibrated to the moment.
The competitive implications are significant. Microsoft has leaned heavily on its OpenAI partnership and Copilot branding to court enterprises, while Amazon Web Services has expanded its own consulting partner programs. Google's $750 million bet raises the stakes considerably, daring rivals to match not just the dollar figure but the depth of engineering commitment.
For the consulting firms themselves, the fund is a windfall. Accenture, Deloitte, and McKinsey can now offer clients Google-subsidized AI assessments and prototyping, lowering the barrier to entry for agentic AI projects. The embedded FDE model, in particular, addresses a persistent bottleneck: the shortage of engineers who understand both cloud-native AI systems and the messy realities of enterprise IT.
The Bottom Line
Google Cloud's $750 million fund is less a charitable gesture than a calculated land grab. By putting its money -- and its engineers -- directly into the hands of the consultants who shape enterprise technology decisions, Google is trying to ensure that when the agentic AI era arrives in earnest, it arrives on Google's platform. Whether that bet pays off will depend on whether Gemini and Google's broader AI stack can deliver the performance and reliability that enterprise clients demand. But in the meantime, the consultants are cashing the check.