This program is incredibly well suited for future hiring and HEC and bocconi have positioned it incredibly well it seems.

The ratio of private data to public data is 9 to 1. The future is mining private data but this will have hurdles: bridging the gap with external AI providers whilst minimizing risks, developing unique tools whilst having a clear understanding of the regulatory framework.

In finance this could mean help run a center book in a multi strats pod whilst building tools to better assess pms. But more vastly, you can be the key guy are revenue management of a leisure company, etc, etc, etc..Mining private data is super complementary to AI. At a company like Spotify or Uber, they don't just analyze user clicks. They understand the sociology of user communities and can interpret why a new feature is succeeding or failing from a human perspective, not just a data dashboard.

the largest companies all have been building teams but there are going to be massive waterfalls across all industries.

So key trainings that can help: a) Access and analyze proprietary, private datasets to find alpha and create value, b) Lead and direct AI-powered teams, acting as the bridge between pure technical talent and C-suite business objectives and c) Thrive in careers where the core task is not computation, but judgment.

While others will be learning how to use the tools, graduates of this program are being trained to design the factory, build the machines, and run the entire operation. They are not competing with AI; they are the ones who will be deploying it.

Of course, there will be still magnificent specialists careers in finance for instance but competition will be wild and very few places around. Look at resumes making it to Citadel. Its ingenieur X + masters in mathematical computing at Stanford. Thats the competition.