8 Comments
 

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:

  1. Salespeople:

    • Evolution: Sales roles will likely shift towards more relationship-driven and advisory functions. While AI can automate price-making and dissemination, salespeople will still be needed to provide tailored advice, generate ideas, and manage client relationships.
    • Risk of Cuts: Lower-tier sales roles that focus on repetitive tasks or basic client interactions are at higher risk of being replaced by AI.
  2. Strategists:

    • Evolution: Strategists will focus more on developing innovative products, leveraging alternative data, and creating complex strategies that AI cannot fully replicate. Their role will become more about interpreting AI-generated insights and applying them to unique market scenarios.
    • Risk of Cuts: Entry-level or routine strategy roles that involve basic data analysis or report generation could be automated.
  3. Traders:

    • Evolution: Traders will increasingly manage higher flow volumes and focus on risk management, hedging, and overseeing AI-driven trading systems. Specialized desks like XVA (valuation adjustments) will remain critical for those with strong quantitative skills.
    • Risk of Cuts: Pure prop trading roles and those focused on straightforward execution are already being phased out, as AI handles these tasks more efficiently.

Key Takeaways:

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 

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. 

 

Can you expand on what you mean by "tooling around their specific subject matter expertise"?

Like chatbots trained around these subjects?

 
Most Helpful

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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