Healthcare organizations are balancing tight budgets and operational transformation.

While finances remain in a perilous state (market research finds year-to-date operating margin increases are hovering below 0.5%, with nonlabor expenses driving cost inflation), healthcare is ramping up its use of artificial intelligence, with more than two-thirds of organizations actively using AI and close to half assessing or using agentic AI.

Standing at the intersection of these trends is the evolving question of where and how to best deploy AI.

Often, healthcare organizations focus on the balance between running AI workloads on the right infrastructure and managing costs, says Tony Nunes, senior manager for strategic business development in healthcare and life sciences at AMD. While this strategy is necessary, especially with cloud management costs remaining higher than expected, it can neglect the importance of aligning and redesigning workflows to accommodate AI.

“Whether you build something in house or buy something off the shelf, you’re investing in something that fundamentally changes how people, process and technology work together,” Nunes says. “If you’re not prepared, and you just try to implement something without thinking about workflows, you’re going to meet resistance.”

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