Competitive Brief: Call Sheet
Researched: AWS · for Google Cloud reps
Focus: AI/ML infrastructure
Today's angle
On September 22, 2026, AWS made OpenAI's GPT-6 Sol and GPT-6 Luna generally available on Amazon Bedrock, extending the GPT-6 family (alongside Astra) with two models that support up to 1M tokens of context and ship at lower prices than their GPT-5.6 predecessors. This lands the same week AWS also added Claude Opus 5.5 to Bedrock.
Top 3 plays
PLAY 01
We just closed our biggest historical gap: enterprise delivery muscle.
On June 4, 2026, IBM and Google Cloud launched a joint practice putting thousands of IBM consultants behind industry-specific AI agents (banking, healthcare, telecom, government) on Gemini Enterprise. For regulated buyers who once rejected Google for thin systems-integrator support, there's now a credentialed delivery partner.
"Worried about delivery depth? You now get IBM's consultants building your agents on Google's stack. That's a combination AWS can't simply match."
PLAY 02
Verizon runs its enterprise on Gemini Enterprise, not a pilot.
On August 24, 2026, Verizon and Google Cloud announced a strategic partnership putting Google's full-stack AI, including Gemini Enterprise, across Verizon's customer experience, network operations, marketing and employee workflows. Gemini Enterprise for Customer Experience already handles the majority of Verizon's inbound consumer calls and chats each month. Verizon is also building autonomous network intelligence on Google Cloud and consolidating its legacy data lakes onto Google's Agentic Data Cloud to run it all. This is a named carrier-scale enterprise running production AI across multiple core business functions at once.
Verizon already runs the majority of its consumer calls and chats through Gemini Enterprise, that's a Fortune 500 network running its business on us at scale, not a pilot.
PLAY 03
A private equity firm just gave its whole portfolio structured access to Google Cloud.
On August 27, 2026, Clearlake Capital Group signed a strategic partnership giving its portfolio companies structured access to Google Cloud's full AI stack: Gemini Enterprise for agentic deployments, Gemini and third-party models through Vertex AI, TPU and Nvidia GPU capacity through AI Hypercomputer and Google's data and cybersecurity tools. Clearlake's portfolio company Alteryx is already running production workloads on it. That gives reps a warm path into every company Clearlake owns, backed by a live production reference rather than a pilot.
"Clearlake set up structured access to Google Cloud's full AI stack for its whole portfolio, and Alteryx is running production workloads on it today, so you'd be adopting a stack already proven inside your own investor group."
Objection handling
"Google kills products. You just retired Vertex AI. Why bet our ML platform on that?"
Counter: Convert the deprecation fear into contractual commitments rather than denying the pattern; that's what earns credibility.
"AWS is the market leader. That's the safe pick."
Counter: Concede the current-share point, then redirect to a 3 to 5 year trajectory framing where the growth gap and AI differentiation favor Google.
"Google Cloud had that massive 2025 outage. Why trust critical AI to them?"
Counter: Don't minimize it: acknowledge, point to the concrete process changes and pivot the reliability conversation to forward architecture, not past incidents.
"Even Pichai says Google Cloud is compute-constrained. We'll be stuck in a queue."
Counter: Turn the constraint into proof of demand, and lock in committed capacity now, because AWS is just as supply-limited.
"We want Claude, and that means AWS Bedrock."
Counter: Neutralize the "Claude = AWS" reflex early; make the conversation about which infrastructure runs Claude best, not which cloud has it.
Agent Scout · every claim verified against its source · 67 claims tracked