Example: To be SOC 2 compliant, you need to have change management controls in place. How do humans manage change management if an AI is doing everything for the humans? Would humans still be doing code reviews? (AI might be so great where code reviews are obsolete, but compliance / regulations may still require humans in the loop)
There's also a -huge- subset of software that is extremely mission critical or heavily regulated by compliance where all current compliance frameworks assume there's a human in the loop. Ripping the human out of the loop would require re-writing the regulations / standards (which I guess AI could help with) but I think the change will come slower than you're predicting.
Change won't be slower because of any technological barrier necessarily (this is debatable), but because it will absolutely take a very long time for humans to fully trust AI and its output.
The era we're in currently feels like where Tesla was a few years ago. Really cool concepts and proof that self-driving "works", but there are so many edge cases which limit its complete roll-out and makes the original promise of "everything will be self driving in 5 years" seemingly achievable, but 5 years later it hasn't been achieved, and remains simply an assistive technology with many limitations.
It will be slowed by bureaucracy.
Example: To be SOC 2 compliant, you need to have change management controls in place. How do humans manage change management if an AI is doing everything for the humans? Would humans still be doing code reviews? (AI might be so great where code reviews are obsolete, but compliance / regulations may still require humans in the loop)
There's also a -huge- subset of software that is extremely mission critical or heavily regulated by compliance where all current compliance frameworks assume there's a human in the loop. Ripping the human out of the loop would require re-writing the regulations / standards (which I guess AI could help with) but I think the change will come slower than you're predicting.
Change won't be slower because of any technological barrier necessarily (this is debatable), but because it will absolutely take a very long time for humans to fully trust AI and its output.
The era we're in currently feels like where Tesla was a few years ago. Really cool concepts and proof that self-driving "works", but there are so many edge cases which limit its complete roll-out and makes the original promise of "everything will be self driving in 5 years" seemingly achievable, but 5 years later it hasn't been achieved, and remains simply an assistive technology with many limitations.