Analysis: using AI only to speed up operational tasks devalues professional work
An analysis argues that adopting AI tools solely to speed up operational tasks pushes professionals toward commoditization and lowers their compensation. It cites a McKinsey (2025) study according to which the exponential increase in administrative or coding tasks creates an oversupply that drives their marginal value to zero. It proposes distinguishing between technologies that replace human capacity and those that augment it, and warns about "cognitive debt" and automation bias.
In 40 seconds
- The text distinguishes between technologies that replace human capacity and those that augment it as a multiplier of technical expertise.
- It cites McKinsey (2025): more volume of administrative or coding tasks can push their marginal value to zero.
- A study with 244 consultants identified three ways of working with AI: centaurs (14%), cyborgs (60%) and self-automators (27%).
IASummary generated by artificial intelligence from a story by Banca y Negocios. It may contain errors: the original source prevails.





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