
๐ง๐ต๐ฒ ๐ฆ๐๐ฎ๐๐ฒ ๐ผ๐ณ ๐ช๐ต๐ถ๐๐ฒ ๐๐ผ๐น๐น๐ฎ๐ฟ ๐๐ผ๐ฏ๐ ๐ถ๐ป ๐๐ป๐ฑ๐ถ๐ฎ
There exists a 30:40:30 split where the scale indicates low to intense ambiguity of outcomes. It is also understood that the same is correlated deeply with the compensation that these folks earn, with the exception of top 10%ers within each job function who earn great regardless.
- ๐ง๐ต๐ฒ ๐๐ผ๐๐๐ผ๐บ ๐ฏ๐ฌ%:
About 20-30% of white collar jobs are absolutely menial that relies purely on a human in the loop model, where the role of an individual is limited to point and click on a screen. Jobs like this could be something along the lines of compliance, inventory tracking, etc. where approving a certain decision relies on a human.
These jobs are among the most susceptible to automation, even without advanced Machine Learning. Perhaps, it's a matter of trust. People prefer human accountability over machines when it comes to decision-making, due to an intrinsic trust in humans over machines.
๐ฎ. ๐ง๐ต๐ฒ ๐ก๐ฒ๐ ๐ ๐ฐ๐ฌ%:
Around 40% of jobs fall into a middle ground: they involve interaction, file management, and value creation but remain somewhat detached from core decision-making. These roles are often found in Big4, WITCH, large MNCs, and marketing/advertising sectors, representing a standard job that offers a decent income and work-life balance, though the level of fulfilment can be debated.
Typically, those in this category have moderate personal ambitions or high ambition with a low risk appetite.
๐ฏ. ๐ง๐ต๐ฒ ๐๐ถ๐ป๐ฎ๐น ๐ฏ๐ฌ%:
This is inclusive of folks who are either: A. Work on the cutting edge in their respective fields. B. Run enterprises. C. Work in well run companies and took exceptional risk
Almost exclusively they work/studied in STEM related fields and coupled it with smart risk taking. It also consists of folks who thrive in ambiguity and have the intellectual horsepower to drive outcomes in uncertain environments.
I posit that our positioning within this tier-list determines our outlook towards life and work.
Talking product sense with Ridhi
9 min AI interview5 questions

Hmm good attempt but I guess life & humans are full of surprises.

@FunnyBones Ofcourse, there is no antidote to real scenarios. It is an attempt at understanding patterns in an otherwise non-conformist world.
Outliers exist nevertheless that cannot be explained by what I just said.


Very nice write up @salt
Although, I really suspect that 30% of jobs are actually as good as you describe in the final 30%
Curious if thereโs a basis in which the split is done?

@AlphaGrindset It is a very subjective take. Just like 50:50, decided to go with 30:40:30 assuming that number of great jobs(final 30%) is the same as number of first 30% of jobs.
Could have easily been 20:60:20, but this just feels cleaner.
I agree. The top 30% of jobs are quite unlikely to be as good as I describe them, so it only feels fair to judge them as a 30% proportion of all โwhite collar jobsโ rather than all jobs(including blue collar).

You've put down the breakdown very thoughtfully.

@tbk I was just thinking about the kind of jobs that exist and it made much more sense to look at ambiguity of outcome over money in general.

Imo the final well paid % is even lower, tbh itโs less than 10%. Consider the number of people paying tax in the top bracket from gov tax reports.

@ReddyAnna Not exactly, White Collar is a subset of All Workers.
White collar workers make 4% of Indiaโs Total workforce. 30% of that is merely 1.2% of the entire workforce in our country.

Makes sense. Skipped the part where you were considering just white collar jobs. My bad.

Started from 1, Seen 3(16h a day, made good corpus ) and now chilling in 2.

@Sherlock007 A nice strategy, must say it looks about right to me.

Yup... especially if u want peace of mind.
Money is like greed, more you chase it, less u enjoy it.
Most of Indian family can live a good life spending 1lpm and saving another 80-90k pm but I see people chasing 5lpm and screw life and relationships.

One of the best post that I've come across on this platform. Kudos to the OP for articulating it so well.

@LittleLulu Thank you! I get to learn a lot from others on the platform, this is my little way of giving it back.