Best Response

you just ignored this part?

Companies already making the transition aren’t slashing workforces.

“This helps free up valuable subject experts to do more,” Moon said. “It will require people to use new skill sets, taking away manual work but allowing more around analytics, transformation and change.”

That echoes a view expressed last month by Jamie Dimon, the chairman and chief executive officer of the largest U.S. bank, JPMorgan Chase & Co. Technology creates opportunities while keeping costs at bay, he said, predicting headcount at his firm probably will rise over the next 20 years.

 

Right, I don't disagree with the premise, I just don't think it's going to lead banks to slash jobs... a large part of banking is and always will be a relationship business.

Is the machine going to take on a personality and go on road shows anytime soon? Sure, the repetitive tasks will get replaced (especially for tasks where it can analyze the feedback and improve), but I think it will have a less dramatic impact on hiring (especially front office) and will take more like ~5-10 years to get to a 30% of the work being replaced.

 

Yeah, at some point. Right away, it won't.

At some point, there won't be analysts, but there will still be associates and above. Ultimately automation tends to cull the headcount for "lower value" positions while opening up time/value for those above that level. Now automation will create some jobs (offsetting the jobs lost) but they won't be in areas that people qualified for Analyst positions will be able to fill. It'll create Automation Engineers, Data Analysts, Algorithmic Programmers, etc.

You'll probably see Associates and above become even more "sales" and "client facing" roles than before. That's the benefit of automation.

"It is better to have a friendship based on business, than a business based on friendship." - Rockefeller. "Live fast, die hard. Leave a good looking body." - Navy SEAL
 

Remember kids, so much about any job is the processing of natural language. NLP has a long, long way of going. Even extremely simple NLP tasks have proven to be extraordinarily difficult for a computer to do.

"Hey Bob,

Hope you had a great weekend. Could you take a look at the slides in the deck from last week for XYZ client and tweak them so that they look like ____________________. I think we should also _________________.

Thanks, DL"

Understanding such an email and actually doing the things asked correctly is super fucking hard for a computer to do. People aren't gunna want to give instructions specific enough for a computer because that would take so much time/effort.

 

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