In this video, David Linthicum explains why the future of AI should not be judged by the pace of data center construction. Recent headlines about delayed or canceled data center projects have led many people to assume that AI growth is in trouble, but that conclusion misses the bigger picture. AI is not fundamentally about building more infrastructure. It is about using technology in smarter ways to improve business performance, make better decisions, reduce waste, and create new opportunities.

David argues that tying AI progress too closely to GPU, CPU, and storage expansion creates the wrong mindset and distracts leaders from what actually matters. He also points out that energy and grid constraints make unlimited infrastructure growth unrealistic, forcing businesses to think more carefully about efficiency and value. Instead of asking how to build more capacity, organizations should ask how to get better outcomes from the resources they already have.

This conversation is a reality check for executives, analysts, and technology leaders who need to separate AI hype from practical strategy and focus on how AI can truly transform the business without confusing infrastructure spending with innovation, adoption, or measurable enterprise success in the years ahead for most organizations today worldwide.