Notes and analyses on AI adoption. Grounded in research, data and analyses I have gone through carefully myself.
It is rarely the model that is the problem. MIT NANDA's study "The GenAI Divide" shows that almost all enterprise pilots strand without effect on the bottom line. Not because of resistance, but because no one has taken responsibility for the way forward: neither ownership, structure nor a plan for operations.
BCG's principle for digital transformations: 10% is about algorithms, 20% about technology and data, and 70% about people and processes. Most budgets are allocated in the opposite order. That is where the gap between investment and effect appears.
Data from Ramp Economics Lab and Revelio Labs suggests that companies with deep AI use grow markedly faster in headcount (+10.2%) than those that bought the tools without changing their ways of working. The gain follows the depth of the integration.
A series of physical, handwritten notes on AI and people. All images are photographed, not generated. The series runs on LinkedIn.
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