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AI employees are not employees. They are tools, not people. The fallacy here is applying a closed world assumption where the amount of code doesn't change but
by jillesvangurp 10mo ago
AI employees are not employees. They are tools, not people.
The fallacy here is applying a closed world assumption where the amount of code doesn't change but more of it is written by AIs and sold for the same dollar amount. And therefore less taxes get paid. That assumption is wrong; and so are the conclusions and sand castles built on it.
The reality is that whenever we give programmers better tools, we get more programmers, not less. And then they start creating even more software than before. Also the value of software drops but the amount spent on software grows. That's because economies grow when you drop the cost of something and create more demand for that stuff. In this case software. Where in the past some companies might not have bothered with an app or a website or automation, many now do have some of that stuff. And now they get to raise the ambition level and maybe see if they can automate some more of their internal processes.
Most companies won't do that themselves. They'll pay others to do this for them. And those people and companies will compete with each other on who does the best job most cheaply for a given return on investment. Which is nothing new. The winners will likely be leaning heavily on AI tools to earn handsomely for solutions that deliver some kind of value. They'll want better/smarter apps, deeper integrations with stuff, more automation, a sprinkling of AI, and whatever else makes their companies run better and earn more money.
AI tools themselves are already a commodity and just a means to an end. Anyone can use them. But only some know how to use them well. The skill is in understanding how to use them, what to fix, where to apply them, etc. Those wielding them best will line up more happy customers and revenue. And then they pay their taxes. Over the value they created.
They here being companies that increase their profits, software companies that charge for helping them do that, people employed by those companies, and AI infrastructure and other suppliers that are part of the solution here. Economies grow over time. VAT, profit tax, income tax, etc.
There's a lot of work that will need to happen over the next few decades to pull a lot of this planets industries out of last century. Anyone that believes it's all going to be AIs doing that by themselves more or less unprompted is dreaming. This is going to be a lot of work that will involve a lot of investment for potentially very big returns on investment. A lot of that work wasn't happening because it was too hard or expensive. It just got cheaper, so more of it will start happening now. There's plenty left to do.
- tombert 10mo agoI agree. It's not like we're ever going to get to a state where we say "oh wow, all potential work is done, there's literally nothing left to do". Like pretty much every technical innovation in history, when we have access to more tools, we just figure out how to solve bigger problems. People might have felt bad for horse breeders who lots out when planes, trains, and automobiles became ubiquitous, but people adapted around it. Now people can work and travel around the world, and there are industries around all these things. It's generally applied to parallelism, but I think it applies here: https://en.wikipedia.org/wiki/Gustafson%27s_law https://en.wikipedia.org/wiki/Gustafson%27s_law While I've had my issues with the "vibe coding" performance right now, ultimately if I can get something to handle the boring and tedious parts of programming, then that frees up time for me to focus on stuff that I find more fun or interesting, or at the very least it frees me up to work on more complicated problems instead of spending half a day writing and deploying yet another "move stuff from one Kafka topic to another Kafka topic" program.