AI, cognitive labour and late capitalism
The report “The 2028 Global Intelligence Crisis” by Citrini Research explores how the global economy might react to a very rapid adoption of artificial intelligence between 2026 and 2028. Its central argument is that AI could make intelligence extremely abundant and cheap, drastically reducing the value of cognitive labour. Companies would replace many office workers with AI systems, increasing productivity but cutting wages and jobs. This could create a paradox: production rising while consumption falls, since fewer people would have income — a phenomenon the report calls “ghost GDP”.
This idea connects directly to the concept of Late capitalism, which describes the contradictions of capitalism in its advanced stage. The system tends to push efficiency and automation to the limit in order to reduce costs and boost productivity, yet it depends on consumers with disposable income. If automation reduces employment or wages, a structural contradiction emerges: who will buy the products?
The report therefore echoes concerns raised by thinkers such as Karl Marx and later theorists of late capitalism like Fredric Jameson, who argued that capitalism’s pursuit of efficiency can ultimately undermine the very foundations that sustain demand and consumption.
🇧🇷 🇵🇹 Português:
https://v.social/s/SQCzvWK
🇪🇸 🇦🇷 Español:
https://v.social/s/K9ZnnFs
