ROI, productivity, cost reduction. These metrics measure AI as a tool. They do not measure a strategy.
Measuring AI strategy performance requires indicators that capture competitive advantage created, dependencies generated and decision quality — not only short-term operational efficiency gains.
In the vast majority of organisations, AI dashboards measure adoption and efficiency (tool metrics), not strategic value created or risks generated. This confusion produces performance illusions that mask real strategic problems.
70% of AI POC never scale. Not because AI does not work. Because local performance never becomes systemic. Measuring AI performance only by immediate ROI is insufficient. ROI can be positive in the short term while masking a long-term strategic dependency.
Gains, avoided costs, revenues generated, productivity, margin.
Differentiation, asset control, negotiating capacity, reduction of critical dependencies.
Traceability, supervision, responsibility, compliance, audit capability.
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