Too many people (in finance, mostly - which drives the rest: entrepreneurs, "big" managers, etc.) in the industry (like to) think that maintenance is bad, because it's not new or growth-capable (which is where they expect to get more, and more, and more).
But maintenance/routine is actually most of the work for everyone, everywhere on this planet. Which is good work.
You can/may outsource, or automate (it's the same actually: getting the same output for a lower cost), it. With the consequences it comes with.
You can/may prefer to be in the 1% of innovation too. But once you innovate (on) something, you've got to maintain it. Someone has to.
The good places where to work are those that admit, and implement (in their structure, in how the manage people and their expectations), that maintenance is most of the work, and that innovation is the small part of it.
It's like in art: most/99% of the time, you practice, you learn. 1% of the time, you get to do/find something great out of it.
Which leads me to the dullness of generative AI: you can't have the 1% if you don't go through the 99% - and you may not understand this if you never tried once to get through those 99%.
And it comes down to hubris.
Too many people (in finance, mostly - which drives the rest: entrepreneurs, "big" managers, etc.) in the industry (like to) think that maintenance is bad, because it's not new or growth-capable (which is where they expect to get more, and more, and more).
But maintenance/routine is actually most of the work for everyone, everywhere on this planet. Which is good work.
You can/may outsource, or automate (it's the same actually: getting the same output for a lower cost), it. With the consequences it comes with.
You can/may prefer to be in the 1% of innovation too. But once you innovate (on) something, you've got to maintain it. Someone has to.
The good places where to work are those that admit, and implement (in their structure, in how the manage people and their expectations), that maintenance is most of the work, and that innovation is the small part of it.
It's like in art: most/99% of the time, you practice, you learn. 1% of the time, you get to do/find something great out of it.
Which leads me to the dullness of generative AI: you can't have the 1% if you don't go through the 99% - and you may not understand this if you never tried once to get through those 99%.