There was a submission a while back that might be relevant here: "Why Law Is Law-Shaped" (lawvm.org) [0]
You are comparing what it is with what should be.
PDF space is still more advanced than the people typing into "word processors" however. Making software to emulate letters was such a massive mistake for the trajectory of computing, it let people effortlessly "adopt computers" by making a digital facsimile of their terrible analog processes. Only with AI we now have the ability to digest all this unstructured mess.
There is a budget and when it is gone, no contractors until next budget round.
There are only so much customers to chose from and all of them have finite budgets.
The exponential growth curve only exists in MBA books.
You can see current AI hype as example, and its government didn't step in and printed N trillions yet.
If maintenance and security is fully automated and for small changes or a small feature you will only dump some spec document into your agent platform, for sure.
If you're in a product company and your development backlog is empty, run. That company is about to go out of business.
I have stupid question here. Why they sell tokens instead of AI generated full application and AI fixes to your code without you needing a single dev?
But the current state of AI is a very good indicator were it is going. Even if we don't achieve AGI, do you think AI in its current form will not be better in 5 or 10 years and we will have this solved a lot more/better than today?
Even with AI, you still need to design the software, test it, try it out, deploy it and scale it. An proper agentic platform still needs time to be build.
And the models need to be a little bit better and for that you want human feedback/reinforcement learning
In my sector? No, not really. Because the core problem isn't tech, but labor rights. Those will only worsen.
This alone will lead to being able to run a fable class claude model 24/7 and potentially running something like this in parallel multiply times over.
Naturally we can't use figures of speech.
And now your comparison is inaccurate. I said whole application. So the correct one would be selling/renting construction vehicles vs building entire building and here selling/renting is maybe 10% of developer income.
Digging a hole is like making small code change and if you wish to continue using this analogy then tokens are digging a hole and selling entire applications (thing Software house do) is construction company building entire building
Second obviously deliver more cash and here AI premise starts to crack. AI can't deliver anything good, costs much more than developing team (Uber proved it) and even if you use it as hard as possible and it does what it suppose to deliver max 5% increase across the board