AI in S&T
Salespeople, strategists, and traders, where will these roles evolve into with the adoption of AI? Which roles would be cut first?
Salespeople, strategists, and traders, where will these roles evolve into with the adoption of AI? Which roles would be cut first?
Career Resources
AI adoption in Sales & Trading (S&T) is already reshaping roles, and here's how things are likely to evolve based on the most helpful WSO content:
Salespeople:
Strategists:
Traders:
Key Takeaways:
Sources: Q&A: 25 years Sales / Trading Experience, Q&A: AI will automate many roles in the IB/PE world. A live Q&A with Arctic, who are recruiting finance professionals to help manage that change, Work at top AM -- AI will virtually kill of entry-level roles in AM over the next 5yrs, Q&A: AI will automate many roles in the IB/PE world. A live Q&A with Arctic, who are recruiting finance professionals to help manage that change
Bump also curious
I remember this forum talking about this many years ago.
Same advice as back then - great salespeople will remain. Great analysts/strategists will remain. Really just a function of if you are a great communicator and you understand how to use AI at work.
The greats will remain but they are also building their own tooling around their specific subject matter expertise. Few examples of this already out there in the wild if you look hard enough
Can you expand on what you mean by "tooling around their specific subject matter expertise"?
Like chatbots trained around these subjects?
Bump
FoxMulder is touching on something that gets overlooked a lot. The traders and salespeople pulling ahead aren't just "using AI at work" in some generic way. They're building pretty specific, narrow tools around their own workflow. Like a rates trader who has a setup that pulls in positioning data, recent auction results, and Fed commentary and spits out a morning brief tailored to how they actually think about the market. Or a credit salesperson who built something that watches their client book's holdings and flags when new issuance or secondary flow is relevant to a specific account. The gap this creates is real though. Someone doing that for two years is just operating at a different speed than someone still manually pulling the same stuff together every morning. And honestly most of these setups aren't even that technically complex. API calls, some prompt engineering, knowing what questions actually matter for your desk. Knowing what to build is the hard part because it means you really understand your own workflow and where time gets wasted. The people most at risk are the ones who can't clearly describe what they do day to day well enough to strip out the repetitive stuff. Technical ability (how we currently define it) will increasingly become less important.
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