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 play
PLAY 01
External capital is validating TPU demand, not just Google's own books.
On May 19, 2026, Blackstone committed $5B to a Google-backed venture to sell TPU capacity as a service, targeting 500MW by 2027. A third party betting billions on TPU (not Nvidia) compute is independent proof that TPU price-performance is credible at enterprise scale. AWS has no comparable outside vote of confidence in Trainium.
"Blackstone just put $5 billion behind TPU capacity. Outside money proves the silicon delivers."
Objection handling
"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.
"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.
"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.
"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.
"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.
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