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Notes -
I do this... In that I make AI tools for work, albeit I do test them and put in effort to make sure the quality is good. I always feel kind of embarassed for saying this since I sound like a linkedin golem. But anyway...
There's a phase transition I think from 'we slowly and expensively make a tool or an output that is supposed to work totally right the first time but still doesn't because bugs and errors are a thing and so we have to go back and slowly fix it' to 'fast, disposable code that is way cheaper but buggier, less well-thought out but more easily fixed and altered'. This is a case of old standards being applied to a new paradigm. And there are people using the new tools in the wrong way too. But this is the new way to do things and it's how more and more things will be done, just like how water flows downstream. Artisanal code will be like artisanal clothing.
I think iprayim3 is not talking about programming code, but other things we call deliverables at my workplace. Like, a powerpoint deck for a technical meeting or a spec document. If there is important errors, it's usually huge waste of time as the work can't start or perhaps someone already started making their thing but it is now going in the wrong direction. Or even worse, someone made decisions that can't be walked back or talked to a client using the bad information. Any substantial correction may trigger a long thread of further discussion, or a series of new meetings solely devoted to correcting the mistake.
It will require total reinvention of corporate social contract, in my experience you can't treat meetings with other businesspeople like a test suite you can throw things at. If anything, time does not become cheaper with AI.
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