Cloud computing promised efficiency, scalability, and reliability. But as AI workloads grow more complex, many enterprises are learning the hard way that these promises don’t come automatically.
In this episode of The AI Forecast, Paul Muller sits down with Linthicum Research founder David Linthicum to talk through the real state of hybrid cloud strategy and enterprise architecture in the age of cloud computing and AI.
Together, Paul and David delve into:
- Why cloud governance and resilience are now board-level concerns
- The hidden costs of hybrid cloud and multi-cloud environments
- Why workload repatriation is accelerating
- How vibe coding can generate inefficient, high-cost AI applications
- The difference between reliability and true operational resilience
- Why enterprises need a common operational control plane
If you’re a technology leader scaling AI systems, this episode offers practical guidance on building governed, cost-efficient cloud architectures that won’t fail as complexity rises.
To go deeper on cloud resilience, hybrid cloud strategy, and AI workloads, listen to Ep 59 | The Secret to Creating the Cloud-Like Experience Anywhere with Adam Skotnicky.
Stay in touch with David:
David Linthicum on LinkedIn: https://davidlinthicum.com/about-david-linthicum
David’s website: https://davidlinthicum.com/about-david-linthicum
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