The value AI creates is not distributed evenly. In most organisations, it is captured by model vendors — not by the company that deploys them.
AI value creation is the net economic advantage generated by an AI deployment, after deducting costs (licences, integration, training, governance) and risks (dependencies created, regulatory exposure, future exit costs).
At tointelligence, we observe a systematic asymmetry: organisations overestimate short-term productivity gains and underestimate medium-term dependencies and governance costs. Real AI ROI is often lower than announced, and its distribution favours model vendors.
AI works. But it does not create value for everyone. Organisations often confuse AI usage with value creation. In many cases, the company is buying productivity from a vendor that captures a significant share of the value.
Time gains, automation, cost reduction. Real value, but easily accessible to competitors.
Improvement of decisions, operations or processes through proprietary data and business integration. More defensible value.
New business model, durable differentiation, proprietary capability, unique data, learning loop difficult to replicate.
Often invisibly. AI can generate hidden costs: dependencies that increase exit costs, unanticipated regulatory exposure, loss of internal skills, proprietary data transferred to vendors who benefit from it.
AI value is defensible when it rests on proprietary data that competitors cannot replicate, deep business integration creating internal network effects, or an organisation-specific learning capability.
We analyse where your AI creates real value and where it transfers it. Exclusively executive committees.
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