A silent change is taking place in the halls of international financial institutions. With companies such as Goldman Sachs and BNP Paribas adopting AI into their fundamental infrastructure, the entry-level environment is being transformed. However, as the technical bar shifts, a paradox arises: the more we automate, the more the ultimate competitive advantage is the human skills, judgment, networking, and mindset.
Between Implementation and Design. We are leaving behind a time when the worth of an analyst was determined by how fast he or she could work in Excel or how well he or she could summarize a 50-page report. The what is now being done by AI. The contemporary analyst has to be concerned with the how and the why.
Problem Structure: The quality of the output of an AI is directly determined by the clarity of the reasoning of the human.
Critical Checking: Reliability has become a skill. The information is plenty, yet reality entails discernment.
In a Digital-First World, Networ