AI Is a Business Story, Not a Technology Story

Oracle’s recent moves make the point:  Massive layoffs, in part enabled by using AI.  Massive investment in AI — a huge bet that customers will derive huge value from AI.

AI needs to be a business story, not a technology story.

The hard part is not investing in and deploying AI.  The hard part is being very clear-minded about how AI can help build a stronger business — and perhaps a different business.

The right first question is not: What can AI do?

The right first question is: How can AI help us serve current customers better, win new customers, and open new markets?

That is where customer-driven operational excellence comes in.  Sure, operational excellence improves efficiency and productivity.  But the superior customer satisfaction it creates is also an accelerant to the top line: lose fewer existing customers, add more new customers, and open new markets.

So my bias and assertion is that AI should be used to build and drive operational excellence.

Operational excellence requires a clear understanding of customer priorities, simpler workflows, strong leadership, and disciplined execution.

If a business is burdened by complexity, fuzzy accountability, weak processes, and poor follow-through, AI is much less likely to create real value. It may simply scale a mess.

My bottom line is simple.

AI will not create much value unless leaders redesign the business around customer satisfiers, simpler workflows, clear accountability, and disciplined execution.

AI can amplify strengths.

It can also scale a mess.