Whatever the company you belong to, there are a few lessons to be drawn from these 2 exemplars to design your own AI-first organization:
- AI-first organizations are complex! There are made of multiple connected layers, a mix of centralization (research centers) and decentralization (making sure every team can leverage the possibilities of AI). This is obvious in the way know-how is distributed: from AI scientists to product managers, there is a wide range of AI skills.
- AI-first organizations are embodied through various means: not only teams, but also internal software platforms, open-source side projects, and the final services delivered.
- In AI-first organizations, the most technical experts are not only tasked with creating breakthrough research projects or new technologies; they must also lead internal training efforts.
- AI-first organizations are inherently agile: in the aggregate, their goal is to maximize both the number of experiments leveraging AI, as well as the speed of deployment and capacity of scaling the successful ones.
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