I think the people most likely to thrive will be those who can combine independent thinking, judgment under uncertainty and emotional stability.
A lot of analytical work becomes increasingly commoditized once information processing itself becomes cheap.
But real-world systems -especially finance, capital flows and human behavior -are still messy, reflexive and nonlinear.
So the advantage probably shifts from “processing more information” toward:
Workers (analytical/technical/who need instruction and direction), focus on small part of the system. Decision makers have a bigger picture as they handle macroscopic tasks and give direction .worker can’t be decision makers and vice versa . Therefore there are lead/manager roles as of now.
However with AI replacing jobs, I have seen even managers/leads are expected to do workers job(and I bet they don’t like it ) . why so? because workers are being made redundant . So they are the ones left on stage .
My guess is ones who are going to thrive are the jack of all trades and master of none . Or the unicorn - master of all skillset.
I wonder if this will impact the types of people who succeed in FS from a background POV. It sounds like deep technical acumen will become less and less important as opposed to political and sales skills.
Maybe the gold standard degree for future bankers is “Philosophy and Economics” rather than something more technical.
MBAs might become increasingly useful too in this paradigm. Horrifying thought!
I think deep technical skills will still matter, but the way they create value may change.
As AI lowers the barrier to analysis and execution, differentiation probably shifts more toward judgment, communication, positioning, and the ability to make decisions under uncertainty.
The strongest people will likely be those who can combine technical understanding with business thinking and strong communication skills.
I agree.
The technical toolkit will continue to evolve, but in fields like investing and risk management, information itself is rarely the scarce resource.
The real challenge is interpreting incomplete information, managing risk, and making decisions when no outcome is certain. AI can improve analysis, but judgment under uncertainty remains one of the most valuable skills.
