I’m an accountant. Components of the job have been being automated or systemised for many decades. Most of the tasks that occupied a graduate when I was one 20 years ago don’t exist anymore.
Not because AI is doing those tasks but just because everything became more integrated, we configure and manage the flow of data rather than making the data, you might say.
If you had to hire 100 professional programmers in the past, but then AI makes programmers 10% more efficient than previously, then you can do the same work with 91 programmers.
That doesn’t mean that 9 people were doing something that an LLM can do, it just means that more work is being completed with fewer programmers.
To add on this, this doesn’t necessarily mean that there are fewer programing jobs in total. If people work 10% more efficently, that means that the cost of labor is only 91% of what it was before meaning that people might be able to afford to finance more programing projects. One thing that does matter is for example things like entry level jobs disappearing or the nature of the work changing. Doing less boring gruntwork can make the job more fun, but otoh digitization sometimes results in the worker having less agency in what they do since they have to fit everything into a possibly inflexible digital system.
Automation is always incremental.
I’m an accountant. Components of the job have been being automated or systemised for many decades. Most of the tasks that occupied a graduate when I was one 20 years ago don’t exist anymore.
Not because AI is doing those tasks but just because everything became more integrated, we configure and manage the flow of data rather than making the data, you might say.
If you had to hire 100 professional programmers in the past, but then AI makes programmers 10% more efficient than previously, then you can do the same work with 91 programmers.
That doesn’t mean that 9 people were doing something that an LLM can do, it just means that more work is being completed with fewer programmers.
To add on this, this doesn’t necessarily mean that there are fewer programing jobs in total. If people work 10% more efficently, that means that the cost of labor is only 91% of what it was before meaning that people might be able to afford to finance more programing projects. One thing that does matter is for example things like entry level jobs disappearing or the nature of the work changing. Doing less boring gruntwork can make the job more fun, but otoh digitization sometimes results in the worker having less agency in what they do since they have to fit everything into a possibly inflexible digital system.