An/Aso obsolescence — is it happening now?

Over the past MONTH I’ve noticed so many people using AI for work. Not just “pull this info” but in excel, PowerPoint, etc. It’s really been the last month or so. Previously, you’d see Outlook or Chrome on one screen and Excel or PPT on the right. But now, it’s AI on one and whatever you’re working on on the other.

I’m in an allocator / FoF role. I think I’ve been made obsolete—at least they need FAR fewer of us analysts / associates to do the work. My principal did a whole analysis this morning on a portfolio without asking me anything… and I’m the only analyst!

At least it’s very good at checking work. Catches so many things, correct FAR more often than not.

It’s probably only a matter of time before it’s as reliable as a calculator.

Are you all noticing this too? What’s next? Time to roll up the sleeves and learn operations or something niche?

5 Comments
 

The shift you're observing aligns with broader trends discussed in top WSO threads. AI is indeed reshaping the landscape for analysts and associates (An/Aso), particularly in roles that involve repetitive or process-driven tasks. Here's what you need to know:

  1. AI's Impact on Analyst/Associate Roles:

    • Many asset management firms are actively integrating AI tools to automate tasks traditionally handled by entry-level roles, such as drafting earnings notes, building models, and even creating presentations.
    • This trend is accelerating, with some firms projecting an 80% reduction in new associate positions by the late 2020s.
  2. AI as a Work Enhancer:

    • While AI is replacing some tasks, it's also enhancing productivity by catching errors, streamlining workflows, and enabling higher-value analysis. For example, tools can now generate financial models, summarize key portions of reports, and even identify risk phrases in earnings calls.
    • Analysts and associates who adapt by leveraging these tools effectively can still add value, particularly in areas requiring judgment, creativity, or nuanced understanding.
  3. Future-Proofing Your Career:

    • To stay relevant, consider pivoting toward roles or skills that are harder to automate. Operations, niche expertise, or areas like private markets (e.g., early-stage growth equity) may offer more resilience.
    • Building a "personal moat" by becoming indispensable—taking on more responsibility, mastering AI tools, and focusing on higher-impact work—can also safeguard your career.
  4. What’s Next?

    • The pace of AI adoption will likely continue to accelerate, but operational inefficiencies and the need for human oversight will slow full automation in the short term.
    • Long-term, roles may evolve rather than disappear entirely, with analysts and associates focusing more on strategic, creative, or interpersonal aspects of the job.

In short, while obsolescence is a concern, those who adapt and position themselves as value creators will find opportunities even in this rapidly changing environment.

Sources: Work at top AM -- AI will virtually kill of entry-level roles in AM over the next 5yrs, Work at top AM -- AI will virtually kill of entry-level roles in AM over the next 5yrs

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

I’m afraid yes. Claude Opus outperforms my Associate all day every day. I’d rather have $1,000 worth of Claude tokens every month than an Associate

The problem is the talent ladder as you can’t learn the job well by using Claude. So not only is Claude better / on par, the Associates are getting worse. I don’t need a human Claude interface either 

 

For a last quality check. I except  the work product to be bulletproof of mistakes and errors and hallucinations, it's not for me to go cell by cell or cross-check inputs with the sources it references to, so Claude might do 98% of the work mistake free, but it's up for the analyst/associate to catch the 2% and correct it. That's the last value add you have.

incentives triumph ethics
 

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