Bias isn’t just an ethical flaw in AI - it’s a cost center hiding in plain sight. Every few months a high-profile failure proves the point. But the real issue isn’t that AI sometimes behaves unfairly; it’s that biased automation quietly accumulates operational risk, reputational damage, and rework. That’s the very definition of technical debt.
Across digital services, we increasingly see how small, biased decisions compound over time, distorting customer journeys and forcing businesses into cycles of expensive correction. The ethical debate matters, but commercial consequences are becoming far harder to ignore.
