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.
1. 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.
