Google paid the Big 4 $750M to gate your AI rollout

The deal’s actual structure: $750M spread across AI value identification, prototyping, agent building, upskilling, and embedded Forward Deployed Engineers (FDEs) across a 120,000-partner ecosystem. The headline number is misleading. Roughly 80% of deployment dollars will route through ten named firms — the Big 5 strategy houses (Accenture, Bain, BCG, Deloitte, McKinsey) plus Capgemini, Cognizant, HCL Tech, PwC, TCS. The remainder funds a thin “AI-native services” tier — Altimetrik, Artefact, Covasant, Deepsense, Distyl.ai, Northslope, Quantium, Tribe.ai, Tryolabs — to absorb mid-market overflow the Big 4 won’t touch under $1M ACV.

The contrarian read: Google is doing what AWS did to MSPs in 2014 and what Salesforce did to SI partners in 2018 — pay the channel to lock customers into your stack before they can shop competitors. Anthropic’s $30B ARR figure (Friday’s premium) explains the timing. Google can’t out-feature Anthropic on standalone enterprise contracts in 2026, so they’re routing around the procurement decision entirely by pre-positioning Gemini inside the Statement of Work your CIO will sign with Deloitte in Q3. The model choice is being made before you ever see the RFP.

What this does to your timeline: if your AI deployment goes through a Big 4 partner now, you’ll get Gemini whether or not it’s the right model for your workload. Embedded FDEs make swap costs prohibitive once an agent stack is built around Google’s tooling — Vertex AI, Agent Builder, Gemini Enterprise SDK. Prediction: by Q4 2026, McKinsey’s AI practice will quietly default-architect against Gemini for any client paying under $5M in fees, because that’s where the FDE subsidy makes the unit economics work. You’ll be told it’s “best in class for your use case.” What you’re actually getting is the model with the cheapest deployment math for the consultant.