CAPITAL STRATEGY INSIGHTS: Reimagining the Process #027

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April 2, 2026

#027 A Real Guy Talking AI

Kind of ironic, but I went to Claude AI by Anthropic to begin this post. Largely it did OK, but it didn’t hit the topic the way I intended.

It started “By now, you have heard more about Artificial Intelligence than you probably care to. It is everywhere – in the news, on LinkedIn, at every conference, and in every vendor pitch deck.” That was the part I liked. Much of what followed was not exactly what I wanted. What I wanted to do is give a real person’s perspective on the pros and cons of AI. Shoot, I may even use some of what Claude gave me, but not all off it.

Not a total whiff, but not on point. And that’s the point.

We are embracing AI in our firm. We’re learning more everyday how these tools can make us more efficient, implementing them into products and operations. The Claude document aptly identified several positives:

  • Speed – AI can process large volumes of data quickly
  • Analytics – Large volumes of data analyzed quickly
  • Decision Support – Analysis with conclusions
  • Reduced Workload – Large volumes of data and analysis done quickly can be a time saver

Good stuff! What can possibly go wrong?

  • Insufficient and poor data leads to poor analytics
  • Ask the wrong questions and get the wrong answers
  • Too much trust in the output

Remember “GIGO”: Garbage In, Garbage Out? Combine that with the old adage “If you computerize a bad process, you just screw up at the speed of light.” Wrong analytics at warp speed leads to faster bad decisions.

The summary from Claude: “The bottom line? AI is a tool – a genuinely powerful one – but it is not a strategy. It will not replace the expertise of the people who understand their organizations… What it can do is make those people more effective. That is worth paying attention to.”

This is why computers, robots, the internet, and other technologies that have come into being in my career have never had widespread reduction in workforce; they have only changed the composition of the workforce because humans find new ways to implement the technology to expand business. You still need someone on the end of the output that can determine the quality, value, and usefulness of the AI output.

Again, that’s the point.

Like you, we will be working to intelligently employ these tools for strategic management of medical capital equipment throughout its life cycle. Looking forward to working together as stakeholders in our industry to make data work harder to ultimately deliver better patient care.

Thanks again for reading these posts. I hope you find value in them. Until next time, be well and continue to think strategically about your medical equipment.

If this was helpful, please comment on LinkedIn or at info@medicalequipmentconsultants.com.