Michael Gerstenhaber, product vice president for Google Cloud's Vertex AI platform, explains that AI models are being evaluated on three fronts: raw intelligence, response time, and cost‑effective scalability. He notes that while the technology shows promise, broader adoption of agentic AI is slowed by missing infrastructure for auditing, data authorization, and production‑ready patterns. Gerstenhaber also points to Google’s unique vertical integration—from data centers and custom chips to APIs and compliance tools—as a strategic advantage in addressing these challenges.
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