The Business and Human ROI of AI Adoption

Markets

In 1995, I stepped into a new role as the finance director for a manufacturing plant. The first major decision I was asked to make? Whether every member of my team needed their own computer. At the time, the standard setup was one shared computer per cluster of cubicles. People would take turns, floppy disks in hand, to input data. 

Today, the idea of “sharing” a computer seems preposterous.

We are currently standing at a similar precipice with AI. Just as the PC transitioned from a shared luxury to an individual necessity, AI is moving from a distant possibility or productivity tool to an essential, individualized extension of our roles.  For supply management professionals, the impacts are enormous.

As we look toward to the ISM World 2026 Annual Conference on April 26-28 in Denver, the conversation has shifted. We are no longer asking if we need AI; we are asking how individuals will manage their own fleets of AI agents.

Just as the PC eliminated the “clerk” and gave rise to the “analyst,” AI is recalibrating the nature of the work for supply chain professionals, transitioning them from “firefighters” to “orchestrators.”  When a machine can autonomously reroute a shipment or flag Tier-3 supplier risk in real time, the human role must evolve. This isn’t about replacing professionals; it’s about recalibrating their focus.

The new workforce needs are increasingly architectural. Organizations need professionals who can excel at:

• Architecting mindware, or designing the goal-oriented logic and ethical guardrails that allow autonomous agents to exercise business judgement
• Strategic intervention and governance, or stepping in only when complexity exceeds the agent’s delegated authority
• High-stakes ecosystem orchestration — a focus on high-empathy, multiparty negotiations and supplier partnerships that AI agents cannot yet replicate.

In addition to always-needed human skills like empathy and relationship management, these high-value activities demand a greater emphasis on core cognitive skills: systems-based logic, advanced analytics and critical analysis. 

The answer to the question on that new job in 1995 was, thankfully, yes. Giving everyone a computer didn’t make the finance team redundant; it made them more efficient and impactful, which had a great ROI. Technology doesn’t obfuscate the need for people, but it does radically change how work gets done.

In 2026, the same change is happening with AI. I wonder what decisions will seem preposterous in another 31 years?