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The AI Paradox in Business, More Speed, More Chaos (and Why We’re Failing at Implementation)
The AI Paradox in Business, More Speed, More Chaos (and Why We’re Failing at Implementation)
The 3 Key Errors According to McKinsey
- AI on Poorly Designed Processes: The most common mistake is adding a layer of artificial intelligence over inefficient or poorly structured workflows, hoping that technology will “fix” structural inefficiencies on its own. The result is not real optimization, but an acceleration of chaos.
- The Myth of Isolated Automation: Many companies focus on automating individual tasks rather than redesigning the complete workflow. This generates what the report calls “operational debt” and “noise”: speed is gained in specific steps, but coherence and control are lost in the overall process.
- Confusing Technological Challenges with Organizational Ones: The biggest obstacle is not the technology itself, but the organization. AI should not be seen merely as a tool to do the same things faster, but as an opportunity to rethink how work is done. Real value emerges when roles and processes are restructured from scratch, not when algorithms are overlaid on old ways of operating.
What’s the Solution? Redesign, Don’t Just Automate
- Centralizing and updating information in real time.
- Eliminating dependence on “key people” for operational processes.
- Ensuring business continuity without human bottlenecks.