AI is rapidly transitioning from a complement to a direct substitute for human intelligence, threatening the bedrock of the modern services economy. Alap Shah, CIO of Lotus Technology Management, argues that this shift could trigger a "Global Intelligence Crisis" by 2028, as corporate adoption of agentic coding and AI tools leads to widespread white-collar job displacement. While AI promises massive productivity gains and potential GDP growth, the mismatch between labor demand and technological advancement risks a consumption collapse. Addressing this requires fundamental structural changes, including tax reform that favors human labor over AI and aggressive reskilling initiatives. Ultimately, the challenge lies in managing the social and economic inequality caused by this transition, ensuring that the bounty of AI benefits society at large rather than concentrating wealth exclusively among capital owners.
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