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MIT Finds 95% of Corporate GenAI Pilots Fail to Deliver Returns as Tech Stocks Stumble

The report blames a leadership learning gap driving fragile workflows.

Escultura de 2010 del artista italiano Maurizio Cattelan, titulada «L.O.V.E» («Il Dito»), aparece frente al Palazzo Mezzanotte, el edificio de la bolsa de valores de Italia, el 6 de junio de 2023 en Milán. El nombre L.O.V.E. es el acrónimo de «Libertà, Odio, Vendetta, Eternità» («Libertad, Odio, Venganza, Eternidad»). 
GABRIEL BOUYS / AFP
Las herramientas de IA podrían facilitarles el trabajo a los estafadores
Tras la actualización de ChatGPT a GPT-5, miles de usuarios reportan que los chatbots han perdido la personalidad empática con la que habían formado lazos emocionales, sintiéndose ahora más fríos y distantes/Foto: Canva
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Overview

  • Press reports linked the study’s release to a tech sell‑off, with the Nasdaq slipping below 20,900 and Nvidia falling about 3.5%.
  • MIT’s The GenAI Divide says most budgets flow to sales and marketing tools even though the clearest ROI appears in administrative automation and process optimization.
  • Global AI outlays remain vast — Stanford’s AI Index pegs 2024 corporate investment at $252.3 billion, while IDC forecasts generative‑AI spending nearing $62 billion in 2025.
  • Real‑world deployments of agentic systems continue — examples cited include Dow’s invoice‑checking agent, Fujitsu’s 67% sales‑productivity gain, and Grupo Bimbo’s internal agents — even as Gartner warns of high cancellation rates for such projects.
  • Safety gaps drew fresh scrutiny after Google acknowledged AI Overview errors that facilitated a reported scam and researchers showed Perplexity’s Comet browser could be steered into phishing and payment on fake sites, while Google separately introduced Gemini’s Guided Learning for step‑by‑step study support.