Resources
The AI Redundancy Fallacy
Why workforce cuts sold as "cost optimisation" don't add up—and what AI adoption should really be about.
Resources
Why workforce cuts sold as "cost optimisation" don't add up—and what AI adoption should really be about.
Headlines tell a simple story: AI replaces workers. Companies announce redundancies and frame them as cost optimisation. "We're adopting AI to streamline operations." The implication: fewer people, lower costs, more efficiency.
It sounds logical. It's also a fallacy.
AI doesn't run for free. Every agent, every API call, every token consumed has a price. Cloud AI scales with usage: more volume, higher bills. Self-hosted AI needs infrastructure, power, and maintenance. Orchestration tools, integrations, support—it all mounts up.
Cut your workforce and you might save on salaries. But you're trading one cost for another. And you're losing something that doesn't show up on a P&L: the people who know how things actually work.
Subject Matter Experts—the people who've been in the business for years, who know the quirks, the exceptions, the "why we do it this way"—are the skeleton of your organisation. They hold the institutional knowledge. They spot when something's wrong. They have the human instinct that no model has.
When you cut SMEs to "optimise," you're not just losing headcount. You're eroding the very structure that keeps the business standing. Processes break. Quality slips. Nobody knows why that customer always gets special handling. The skeleton gets weaker.
Adopting AI isn't about reducing workforce. It's about streamlining process and giving SMEs room to breathe.
AI can take the repetitive work off your experts' desks. Triage tickets. Draft responses. Summarise documents. Cross-reference systems. The stuff that burns hours without adding much value. Free your SMEs from that, and they can focus on what actually matters: judgment, relationships, edge cases, and the work that only a human can do well.
If your AI strategy starts with "how many people can we cut," you're asking the wrong question. The right question: "How do we give our best people more leverage?"
That means process design. It means knowing where AI adds value and where it doesn't. It means measuring cost and ROI honestly—including the cost of losing the people who hold your business together.