Generative AI Cuts Cloud Costs and Boosts Migration, But Widespread Adoption Still Years Away

Generative AI can cut cloud migration work 30-50% when done right, per McKinsey's Bhargs Srivathsan. Helps understand infrastructure, weaknesses, and migrate workloads.

40% of enterprises investing in AI are updating investment. Srivathsan sees symbiotic relationship between generative AI and cloud.

Biggest AI use cases content generation, customer engagement, synthetic data, and coding. Latter helps with legacy code.

LLMs will stay in hyperscale for 5-6 years until models mature. Most use cases don't need ultra low latency.

Don't need massive models for simple tasks. Do need API gateway to surface alerts on model/data access.