Tweet analysis: recruiters report candidates failing 10-K tasks and admitting use of ChatGPT, sparking concerns AI is eroding analyst skills. 65.6% support.
Spoke with a former colleague of mine who is currently at a hedge fund and involved in new analyst recruiting for his firm He has been interviewing candidates from banking and private equity backgrounds for the past month or so Apparently there has been a massive surge in kids who simply cannot figure out what the business model or revenue recognition of a business is with just the 10K in front of them One of them completely botched the case study, and when asked, simply answered that he uses ChatGPT and Claude at his current job to figure out the details Clearly an early sign of cognitive decline in analyst capacity coming because of AI
Real-time analysis of public opinion and engagement
What the community is saying — both sides
It’s praised for aggregation of data and initial research, but analysts must keep the ability to reason and synthesize on top of AI outputs.
A seasoned analyst using AI can become “dangerously good”; a junior who relies on AI before building a mental model risks producing shallow work.
Experience that comes from building revenue and fixing motion yields insights AI and inexperienced analysts can’t replicate.
Several replies argued younger cohorts who had disrupted schooling lack critical thinking and treat AI as a crutch.
AI is viewed as capable of delivering the biggest productivity gains while also precipitating a cognitive decline crisis if fundamentals are neglected.
Many predict AI reliance is a secular but temporary trend, followed by a return to fundamentals once the limits become obvious.
Investing time to hone analytical skills costs short-term productivity but pays dividends long-term; most people aren’t planning that far ahead.
Candidates can sound sharp with AI assistance but fail when the model is removed; there’s a worrying decline in simple “back-of-the-napkin” problem-solving.
Complaints range from finance-specific issues (e.g., 10‑K reading habits, bankers/PE unfamiliarity) to broader tech and hiring anecdotes, often expressed with frustration or blunt criticism.
skeptical that any IB/PE analyst would openly admit using Claude to read a 10‑K; the complaint is to raise the quality of these posts.
but a matter of different skillsets: execution/"trigger pulling" is a distinct talent from deep business analysis.
banking and PE cultures have long rewarded template-following and mimicry, not original analysis.
problem — people repeating scripts, not an erosion of intellect.
Most popular replies, ranked by engagement
Yeah….this is going to be a massive issue. The problem isn’t using AI, it’s using AI before you’ve built the mental model. A senior analyst using Claude to move faster? Dangerously good. A junior using Claude instead of thinking? Someone who never actually learned to think.
Agreed, analysts still need to retain the analysis capabilities on top of any ai use. what its very helpful with is the aggregation of data and initial research but cant lose the ability to reason on top of that.
huge decline in cognitive ability from scratch, they can't do "back of the napkin" shit
Cognitive decline or a different skillset? Trigger pulling is a talent like analyzing businesses is a talent.
To be honest, this was the case even before AI I knew lots of classmates in banking and PE who literally followed templates & didnt think about businesses or investing and they ended up going farther than you woulda thought simply by nodding and repeating back what was said
Don’t think that’s a new issue tbh
Found something wrong with this article? Let us know and we'll look into it.