Beyond Tech Courses: Building Decision-Making Skills for an AI-Driven Workplace

The chief economic adviser emphasized that simply offering optional AI subjects will not close the emerging skills gap. Managers of the future will be judged more on their capacity to synthesize information, set priorities, and make balanced choices than on technical proficiency alone.

He illustrated the point by stating that AI’s growing competence in data analysis will free managers from low‑level calculations, but it will also amplify the need for human judgment. The real competitive edge will lie in deciding which questions to pose to AI and how much trust to place in its answers.

To operationalise this shift, he suggested that business schools integrate decision‑centric exercises throughout their programs. Case studies, role‑plays, and real‑time scenario analyses can help students develop a disciplined thought process that can be applied even when AI handles the bulk of data crunching.

In his view, the most pressing educational reform is to place decision‑making at the curriculum’s heart, ensuring graduates leave with a mindset that complements, rather than competes with, intelligent machines.