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Generative AI Spreads Across Enterprises as ROI Lags and Strategies Reset

Executives say disciplined engineering plus external expertise are needed to scale pilots.

Overview

  • McKinsey reports that more than 75% of companies use generative AI in at least one function, yet only about one in five see clear financial impact so far.
  • An IDC survey finds 89% updated data strategies for generative AI, but just 26% have deployments at scale and only 12% trust their infrastructure for autonomous decisions despite broad investment in agentic workflows.
  • A new MIT study shows many pilots stall before production, with external partnerships significantly increasing success rates compared with in‑house efforts.
  • Industry leaders stress real‑time, high‑quality data pipelines and strong governance, with Google Cloud’s Oliver Parker warning about bias, errors, energy use and privacy risks.
  • Latin America is emerging as a testbed as Google invests in regional infrastructure and launches training for one million people in Mexico, while McKinsey projects up to 30% of U.S. work hours could be automated by 2030.