Why Investments into AI, Crypto, and Quantum Computing are Now a Waste of Resources but Could be a Proxy to Discharge Debts after the AI Bubble Collapse
- Trevor Alexander Nestor
- Oct 5
- 2 min read
Updated: Nov 16

Billions of dollars are pouring into AI, quantum computing, and cryptography - all for alleged economic benefits and increases in productivity. While people struggle to afford necessities like housing, childcare, healthcare, and education, Mark Zuckerberg announces he plans on building AI datacenters the size of Manhattan - economic planning you have no part in developing the vision for.
The reason this is a collosal waste of resources is that the brain is vastly more efficient then any of these systems - so from a purely economic and computational perspective, it would actually be better to invest directly in infrastructure and local communities.

Take the thesis of Dr. Penrose, who claims that the brain is a quantum computer that processes information by means of gravity - accounting for the measurement problem:
If his theory is correct, than it should be feasible to break postquantum lattice cryptography, and also build a scalable quantum computer by means of trophic social networks of people alone:
We also know that societies reach entropic limits of complexity after which they collapse because institutions become too complex to maintain (according to sociologist Joseph Tainter). In this view, it is more efficient to invest directly in people, local communities, and infrastructure than ever more complicated AI systems after a tipping point (which in post industrial societies is a bit after the point of financialization of the economy).
This also explains why overreliance on AI as an information survelliance and control loop in organizations after a saturation point of complexity can be their own downfall, like at Microsoft:

Currently the only likely value for further investments in this technology will be the discharge of debts through devaluation as the AI bubble pops.





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