The Competitive Edge Has Shifted: It Is Not the AI Model, It Is the Process Behind It
This week's signals converge on an uncomfortable conclusion: the race for cutting-edge AI models is becoming irrelevant as a competitive differentiator. With 95% of pilot projects stalling before reaching production, according to research from academic institutions and specialized consulting firms, the bottleneck is not technological. It is organizational. Companies that continue evaluating AI by model intelligence rather than the business outcomes it generates are optimizing the wrong metric. The appointment of dedicated data and AI executives in sectors such as investment management, combined with a growing focus on scaling experiments into corporate strategy, signals that more mature organizations have already grasped this shift: value lies in the ability to operationalize, not to experiment.