  To advance control, operation and planning tools of electrical networks with
ML is not straightforward. 110 experts were surveyed showing where and how ML
algorithmis could advance. This paper assesses this survey and research
environment. Then it develops an innovation roadmap that helps align our
research community towards a goal-oriented realisation of the opportunities
that AI upholds. This paper finds that the R\&D environment of system operators
(and the surrounding research ecosystem) needs adaptation to enable faster
developments with AI while maintaining high testing quality and safety. This
roadmap may interest research centre managers in system operators, academics,
and labs dedicated to advancing the next generation of tooling for electrical
networks.
