Google's Cloud AI leads on the three frontiers of model capability | TechCrunch

TechCrunch

by Russell Brandom

February 23, 2026

AI-Generated Deep Dive Summary

**Google's Vertex AI Showcases Breakthroughs in AI Model Capabilities** In a recent interview, Michael Gerstenhaber, VP of Google Cloud’s Vertex AI, highlighted the advancements in AI models across three critical frontiers: raw intelligence, response time, and cost-effectiveness. These breakthroughs are reshaping enterprise applications, offering unparalleled capabilities for businesses seeking to integrate advanced AI solutions. The first frontier focuses on raw intelligence, exemplified by models like Gemini Pro, which prioritize delivering high-quality outputs regardless of processing time. This is crucial for enterprises requiring precision in tasks such as code writing and policy application, where accuracy surpasses speed considerations. The second frontier addresses response time, essential for real-time applications. AI systems must provide swift answers to maintain user engagement, especially in customer support or interactive platforms where delays can lead to disinterest. The third frontier is scalability and cost-efficiency, vital for handling vast datasets at minimal expense. This ensures large-scale operations, such as content moderation on platforms like Reddit or Meta, can efficiently manage extensive data without compromising performance. These advancements underscore the transformative potential of AI in driving enterprise innovation. By overcoming these technical barriers, Vertex AI enables businesses to adopt cutting-edge solutions that enhance operational efficiency and decision-making across various industries. This progress not only accelerates AI adoption but also paves the way for future developments, making Gerstenhaber's insights pivotal for tech enthusiasts and industry leaders alike.

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Originally published on TechCrunch on 2/23/2026