Jen Underwood writes
We live in an incredible era of extremely fast, disruptive innovation. Globalization, accelerated technology change, infinite cloud scale, ubiquitous connectivity, and an Internet of smart things is enabling a fourth industrial revolution, the digital transformation. The challenges data and analytics professionals are facing right now are not technology related. The challenges are related to adapting to constant change and keeping up with the frenetic pace of innovation to remain relevant.
I can imagine the day coming soon when the pace of innovation is faster than the ability of humans to keep up at all. Only AI machines will be able to keep up. The machines will then face the problem of the pace of innovation technology accelerating faster than the pace of the capability of AI technology at a given point in time to keep up.
Faster, more agile machines could be developed, but if the pace accelerates past a certain breakpoint, there could be an accumulation of outdated technological hardware, i.e., debris, lost to obsolescence and disruption in the accelerating race. This could raise benefit:cost issues.
There are probably multiple outcomes and solutions to this hypothetical situation. It might be useful to start pondering them.