That's not true at all, sure CRUD might not have been that difficult, but absolutely there is extremely complicated software out there that is really difficult to write in a performant and correct manner.
That too is "domain" even it feels like it is NOT. Domain of signal processing, Euclidian spaces, information theory and what not. Thar too is all "domain" and that "domain" part is difficult to write.
It just does not matter. The ideas matter. Novel functionality matters. But that isn't what any of that is. Same old. And the effort spent, the resources, the energy. All for more polygons on Lara Croft.
For well funded organisations, ISDN video conferencing facilities were reasonably common.
Mordern GPUs are streaming multiprocessors. Complaining that GPUs use a ton of resources is like complaining that a firehose uses a ton of water. Maximum data throughput is the point!
>But that isn't what any of that is. Same old. And the effort spent, the resources, the energy. All for more polygons on Lara Croft
There are MANY novel games being released every year. It's up to you to find them.
I was a developer for 20 years, before I pivoted to cybersecurity. My hobby projects were always more complex than the software I wrote at my day job.
The majority of software developers are writing some type of CRUD code or glue code for business processes. A small minority are writing complex code at big tech companies.
AI will most likely replace the need for many software developers.
For example, it takes years to develop the knowledge and idioms required to effectively write high-performance systems code, which is separate from the language the code is written in. You can have decades of experience in a systems language and zero experience writing modern systems code in that language. Same with embedded code, supercomputing code, etc.
Writing software is only "not difficult" if you've already learned how to write it.