Competitive Strategy: AWS vs. Google Cloud Platform (GCP)

First, I would validate their reliance on AWS, acknowledging that their current stability is a rational choice given AWS's market maturity. However, I would then probe for specific friction points, such as high egress fees, slow data pipeline iterations, or the difficulty of integrating advanced AI models into legacy infrastructure. If they are struggling with these, I would pivot to GCP's distinct strengths. For instance, I would highlight how our unified data platform in BigQuery eliminates the need for complex ETL pipelines, potentially reducing their data latency by 60%. Furthermore, since Google pioneered Kubernetes, I would explain how Anthos provides a consistent control plane across multi-cloud environments, solving the very fragmentation issues often caused by migrating to new cloud providers. Instead of a risky 'big bang' migration, I would propose a phased approach: moving non-critical batch processing workloads first to demonstrate cost savings and performance improvements. By quantifying the reduction in engineering hours spent managing infrastructure versus building features, we can show that while AWS offers stability, GCP offers agility and future-proofing that directly impacts their bottom line and innovation velocity.