In my view it is. It’s a race to the bottom. What is a company going to do when they are in a competition with other firms that have less staff but the same output (i.e., a much lower cost base)? The options are either to go out of business or to restructure to the market reality. This is a problem that needs to be solved at the government level.
That might be the case if AI were actually as competent as humans and actually cheaper. AI may be faster, but they aren’t going to get any cheaper, and LLMs won’t get much more “competent” than they are now.
AI is getting cheaper every year and the output is becoming better. Look at token prices. The so called frontier models are not that far ahead of the open source models that you or I can run essentially for free, either.
The reality is that you can sit down and automate significant tasks with AI in an afternoon, today. I work in an industry where a significant amount of time is spent auditing and QAing output. A properly trained skill for Claude is able to do the same QA task to 90% of my (senior) level in 2% of the time. Similarly, it is able to coach the junior staff to produce work that is a much higher level than would be otherwise expected of them, reducing the actual audit length on that side too.
I am hugely positive for the future of AI. I am hugely negative about what it means for people.
“Expect”. As though it’s entirely out of their hands.
In my view it is. It’s a race to the bottom. What is a company going to do when they are in a competition with other firms that have less staff but the same output (i.e., a much lower cost base)? The options are either to go out of business or to restructure to the market reality. This is a problem that needs to be solved at the government level.
“The same output” lol.
That might be the case if AI were actually as competent as humans and actually cheaper. AI may be faster, but they aren’t going to get any cheaper, and LLMs won’t get much more “competent” than they are now.
AI is getting cheaper every year and the output is becoming better. Look at token prices. The so called frontier models are not that far ahead of the open source models that you or I can run essentially for free, either.
The reality is that you can sit down and automate significant tasks with AI in an afternoon, today. I work in an industry where a significant amount of time is spent auditing and QAing output. A properly trained skill for Claude is able to do the same QA task to 90% of my (senior) level in 2% of the time. Similarly, it is able to coach the junior staff to produce work that is a much higher level than would be otherwise expected of them, reducing the actual audit length on that side too.
I am hugely positive for the future of AI. I am hugely negative about what it means for people.