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7h ago

Generative AI’s Rapid Gains Raise Environmental, Labor and Oversight Concerns

Resource-hungry AI models face scrutiny after UNESCO flagged soaring energy and water demands; corporate studies confirm rapid returns on investment; experts urge stronger human oversight.

A la izquierda, la ilustración que realizó María Verónica Ramírez; a la derecha la copia que circuló en redes sociales
Inteligencia artificial. Archivo Clarín.
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Overview

  • A UNESCO report warns that generative AI could triple data-center water use by 2027 and calls for a shift to smaller models that can cut energy consumption by up to 90%.
  • A Google Cloud and National Research Group study finds 74% of companies recouped AI investments within a year and 86% saw revenue growth of at least 6% tied directly to generative AI.
  • The E-MINDS initiative from TU Graz and partners has enabled AI models to run on IoT devices with just 4 kilobytes of memory, unlocking new edge computing applications.
  • Investor Vinod Khosla predicts AI will automate 80% of economically valuable jobs over the next six years and could eliminate the need to work by 2040, highlighting potential workforce upheaval.
  • Thought leaders advocate for hybrid intelligence orchestrators to scrutinize AI outputs, as OpenAI’s experimental “Study Together” feature emphasizes the growing role of human judgment in AI-driven decisions.