site banner

Culture War Roundup for the week of April 8, 2024

This weekly roundup thread is intended for all culture war posts. 'Culture war' is vaguely defined, but it basically means controversial issues that fall along set tribal lines. Arguments over culture war issues generate a lot of heat and little light, and few deeply entrenched people ever change their minds. This thread is for voicing opinions and analyzing the state of the discussion while trying to optimize for light over heat.

Optimistically, we think that engaging with people you disagree with is worth your time, and so is being nice! Pessimistically, there are many dynamics that can lead discussions on Culture War topics to become unproductive. There's a human tendency to divide along tribal lines, praising your ingroup and vilifying your outgroup - and if you think you find it easy to criticize your ingroup, then it may be that your outgroup is not who you think it is. Extremists with opposing positions can feed off each other, highlighting each other's worst points to justify their own angry rhetoric, which becomes in turn a new example of bad behavior for the other side to highlight.

We would like to avoid these negative dynamics. Accordingly, we ask that you do not use this thread for waging the Culture War. Examples of waging the Culture War:

  • Shaming.

  • Attempting to 'build consensus' or enforce ideological conformity.

  • Making sweeping generalizations to vilify a group you dislike.

  • Recruiting for a cause.

  • Posting links that could be summarized as 'Boo outgroup!' Basically, if your content is 'Can you believe what Those People did this week?' then you should either refrain from posting, or do some very patient work to contextualize and/or steel-man the relevant viewpoint.

In general, you should argue to understand, not to win. This thread is not territory to be claimed by one group or another; indeed, the aim is to have many different viewpoints represented here. Thus, we also ask that you follow some guidelines:

  • Speak plainly. Avoid sarcasm and mockery. When disagreeing with someone, state your objections explicitly.

  • Be as precise and charitable as you can. Don't paraphrase unflatteringly.

  • Don't imply that someone said something they did not say, even if you think it follows from what they said.

  • Write like everyone is reading and you want them to be included in the discussion.

On an ad hoc basis, the mods will try to compile a list of the best posts/comments from the previous week, posted in Quality Contribution threads and archived at /r/TheThread. You may nominate a comment for this list by clicking on 'report' at the bottom of the post and typing 'Actually a quality contribution' as the report reason.

7
Jump in the discussion.

No email address required.

Paging @2rafa or anyone else who can explain to me what an investment banking analyst actually does: AI is coming for Wall Street: Banks are reportedly weighing cutting analyst hiring by two-thirds (paywalled for me on desktop but it's loading fine on mobile):

Incoming junior Wall Street analysts could be in danger of losing their jobs to AI, sources within banks told the New York Times.

Big firms are reportedly mulling whether to pull back on hiring new analysts as Wall Street leans more heavily on AI, several people familiar with the matter at Goldman Sachs, Morgan Stanley, and other banks told the publication this week.

Incoming classes of junior investment-banking analysts could up being cut as much as two-thirds, some of the people suggested, while those brought on board could fetch lower salaries, on account of their work being assisted by artificial intelligence.

I don't know how to evaluate the claims in the article because I have little understanding of what a banking analyst actually does on a day to day basis. How much of it requires "thought" (not thought of incredible complexity and originality, but thought nonetheless) and how much of it is just plugging numbers into Excel in a relatively formulaic fashion?

In general I lean towards being skeptical of these claims, especially in domains where I have little expertise, because the dominant pattern of the last 2 years is that people who don't know much about X tend to overestimate how good AI is at X.

If I compare this to a domain where I do have some knowledge (computer programming), most of the tests that people use to demonstrate LLMs' coding ability aren't particularly representative of what programmers do on a daily basis. Sitting down and opening a new blank file and "writing code to do X" is certainly part of the job, and it can be a bigger or smaller part of the job depending on what type of organization you're at and what type of project you're working on etc, but it's not the whole job (for some programmers, it's a very small part of it!)

So I'd like people with more domain knowledge to weigh in on what aspects of these financial jobs are liable to be automated today and what the forecast for the field is like.

I believe the big thing for them is availability and consistency. Like a McDonalds worker with great grammar and can do algebra and make an identical Big Mac at 4 am.

Simplistically Mr Banker meets with CEO at 3 PM on Tuesday. He gets feedback from the client on what they are thinking. At 7 PM he gives updates to his analysts. At 4 am the analyst have all the materials updated. At 7 am the printers have finished documents. At 8 am the banker has the new reports in his briefcase. At 9 am the Banker again meets with CEO and closes the deal.

And everything has to look perfect because it’s a big deal. Just having the correct numbers won’t work because it looks sloppy for that size of deal so hours spent picking out just the right shade of blue for a pie chart.

That’s my understanding of the job.

It’s also that even though analysts and associates are paid very well by general standards, they’re only paid a very small proportion of the deal fees the bank makes. On a big $20m fee (when apportioning based on bonuses and salary for the subsequent year), ‘the bank’ might make $10m, the ‘vice chairman’ (typically semi-retired senior banker still affiliated with bank because of their connections, some banks will have a different title) makes $2m, the head of the industry team (‘global head of industrials’) might make $1m, the two or three MDs involved may make $500k each, then you down from there through directors/EDs, VPs, associates and down to analysts. Of an analyst’s $60k or $80k bonus (maybe there are four or five staffed on the deal across an industry team and execution), perhaps $10k comes from this deal if one had to pick a number. (This isn’t how bonus pools work, but it illustrates how small the analyst’s share would be).