AI isn’t a magic human replacement in most fields at the moment.
What language models allow is automate tasks that couldn’t be automated before. For example, if you spread a 10% time gain from the people who are already working, you are going to hire 10% fewer people.
I’ll say here, where no one knows me, that GenAI tools have probably cut my workload by half. Probably more if you discount the amount of time I spend staying ahead of folks. I can also say that none of my teams have had additional any headcount approved in the last 2 years.
That honestly sucks as a zoomer. I will say that the people we have added to teams have all came from internal promotions or acquiring small companies. Maybe start a passion project company and start building something even if it doesn’t make money and is mostly on paper.
I’ve definitely cut down a lot of my workload with them.
I have data between multiple external systems I need to manage, so I built some tools to automate it.
Since the LLM agent can do follow up queries against the APIs independently it excels at cross referencing between systems. This work is impossible to know beforehand, so you can’t traditionally automate it.
So what used to waste several hours a week of pulling data, searching with crap search tools, pulling data again, etc. In 12 browser tabs is now just an LLM doing a couple dozen tool calls.
That leaves me to just take the output and act on it.
I’ve done tests and it is accurate and reproducible enough. Plus I already have a good sense of when such info exists, so if it is wrong I can trivially redirect it.
I have to do a lot of slides and emails. So I can dump in massive email threas, tell it the outcome and address every concern in my writing style. Then I read it over, delete parts and hit send. Same with prepping presentations. I can say recap the quarter’s highlights for xyz, pick a few and move on. I still have to present them and read things, but that’s getting to be the large part of the job.
As a systemically unemployed zoomer, yes. Although not so much AI as automation.
The only times AI actually works is in fields like health insurance claim processing, where the goal is provide the worst service possible.
AI isn’t a magic human replacement in most fields at the moment.
What language models allow is automate tasks that couldn’t be automated before. For example, if you spread a 10% time gain from the people who are already working, you are going to hire 10% fewer people.
I’ll say here, where no one knows me, that GenAI tools have probably cut my workload by half. Probably more if you discount the amount of time I spend staying ahead of folks. I can also say that none of my teams have had additional any headcount approved in the last 2 years.
That honestly sucks as a zoomer. I will say that the people we have added to teams have all came from internal promotions or acquiring small companies. Maybe start a passion project company and start building something even if it doesn’t make money and is mostly on paper.
i haven’t found much use in these tools just yet. what do you use it for that makes you so efficient?
I’ve definitely cut down a lot of my workload with them.
I have data between multiple external systems I need to manage, so I built some tools to automate it.
Since the LLM agent can do follow up queries against the APIs independently it excels at cross referencing between systems. This work is impossible to know beforehand, so you can’t traditionally automate it.
So what used to waste several hours a week of pulling data, searching with crap search tools, pulling data again, etc. In 12 browser tabs is now just an LLM doing a couple dozen tool calls.
That leaves me to just take the output and act on it.
I’ve done tests and it is accurate and reproducible enough. Plus I already have a good sense of when such info exists, so if it is wrong I can trivially redirect it.
interesting. how do you set llms up to talk to apis? what tools are you using?
I wrote model context protocol servers
I have to do a lot of slides and emails. So I can dump in massive email threas, tell it the outcome and address every concern in my writing style. Then I read it over, delete parts and hit send. Same with prepping presentations. I can say recap the quarter’s highlights for xyz, pick a few and move on. I still have to present them and read things, but that’s getting to be the large part of the job.
interesting, i will keep it in mind next time i need to do a stupid report again!