It's a form of the Red Queen's Race, with strong similarities to the "P-laws": Parkinson's Law (work expands to fill available time), the Peter Principle (people rise to their level of incompetence), and Putt's Law (technology is dominated by two types of people, those who understand what they do not manage and those who manage what they do not understand).[1]
Organisational or societal complexity will increase so long as the marginal returns of complexity are greater than its costs. The complexity will stop at the point at which marginal cost and marginal benefit are equal. That is, in an equilibrium condition, everyone is on average at the bare limit of their capability to cope and function.
This isn't a conspiracy, it's an emergent phenomenon. You'll find this in any circumstance in which complexity provides increasing capabilities with decreasing returns to scale.
One solution might be imposing some additional non-psychological cost on complexity. Another perhaps varying the environment in a way that pushing up to the complexity frontier is not sustainable --- some psychological reserve would be necessary to address exceptional circumstances, say.
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Notes:
1. See:
Red Queen's Race: https://en.m.wikipedia.org/wiki/Red_Queen%27s_race
Parkinson's Law: https://en.m.wikipedia.org/wiki/Parkinson%27s_law
Peter Principle: https://en.m.wikipedia.org/wiki/Peter_principle
Putt's Law:
https://en.wikipedia.org/wiki/Putt%27s_Law_and_the_Successfu...
Also Gamesmanship: https://en.m.wikipedia.org/wiki/Gamesmanship and
Systemantics: https://en.m.wikipedia.org/wiki/Systemantics