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AI in Healthcare Supply Chain: Lessons From 100+ Executives

Written by Steve Liou, Founder & CEO of Clarium | Aug 13, 2026, 2:11:19 PM

In July 2026, McKinsey released a survey of more than 100 health system supply chain executives in a report titled, “Powering Up Procurement: AI In Healthcare Supply Chains.” The results of the survey confirm what our team at Clarium team has been advocating for since we’ve started.

The takeaway is clear: ROI isn’t a nice to have, it’s a must have. AI platforms and tools must deliver a sizable return on investment in the next three years. Health system supply chain executives have spoken, and they’re ready to get their money’s worth. 

Here are some of the key stats from the McKinsey report:

  • 65% of respondents expect significant (5-10%) cost savings from AI within the next three years; 26% expect transformational (greater than 10%) savings.  
  • 46% of those using AI in the supply chain have already doubled their ROI while another 20% have seen smaller gains. 
  • 75% of respondents say their organizations have a dedicated budget for investing in AI for supply chain.
  • Overall, 85% of organizations are pursuing AI adoption in the healthcare supply chain.

Health system leaders ranked the top areas where AI had the greatest potential in the supply chain to generate returns. It’s no surprise that it aligns with the key areas where Clarium has focused its development efforts: supplier performance management and transparency, supply-demand forecasting and predictive analytics, and inventory management.

The McKinsey report had a few more stats that caught my eye: 

  • 44% say their organizations lacks a clear business case for AI adoption in the supply chain.
  • 42% say the most beneficial AI are agents that could proactively anticipate needs and make decisions semi-autonomously, after learning from past behavior. This is in line with what our customers are asking of us. I’d expect that number to be even higher in next year’s report.
  • 76% of respondents said data privacy and regulatory compliance has slowed the pace of adoption of AI in the supply chain.

To those of us who have been working on delivering outcomes and cost savings for health systems, this report was incredibly validating.

Here are four pieces of advice to health system leaders that are still figuring this out: 

  1. Demand that vendors show measurable ROI within a predefined window, and walk away from anyone who won't commit to those results.
  2. Focus on the companies that have built deep, trusted relationships with your peers, and also have real-world case studies to back up their claims. Word of mouth goes a long way in healthcare for a reason.
  3. Fix your data before you deploy AI. Every health system is under pressure to have an AI strategy, but AI on top of dirty, fragmented data only produces expensive noise faster.
  4. Elevate supply chain to a strategic function. Amazon and Walmart treat supply chain as a competitive advantage, while some health systems still treat the function as a back office function. CEOs should give their supply chain leader a real seat and voice at the executive table.