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AI Use Surges While Data, Skills and Security Limit Real-World Value

A growing shift in business focus toward data governance, workforce retraining and public infrastructure shows that models alone will not deliver returns from widespread generative-AI adoption.

Overview

  • Surveys compiled in 2026 show near‑ubiquitous corporate use of AI, with the Stanford AI Index finding 88% of organizations used AI in at least one function during 2025 and 79% using generative tools.
  • Many firms say data — not model choice — is the main bottleneck for value: studies in Mexico report 88% view data as their strategic edge while about 71% cannot turn that data into real‑time, usable information.
  • AI is already changing services: platforms and businesses deploy memory‑enabled conversational agents for marketing and sales, and students and professors increasingly use chat tools for emotional support according to SEP’s Eniag 2025.
  • Harms are rising as bad actors adopt the same tools, with Peru reporting roughly 21,000 cybercrime complaints through May 2026 and authorities warning of deepfake romance scams that fabricate voices and video to build trust.
  • Competitive and policy pressures are growing because lower‑cost, open Chinese models are expanding user access, which lengthens ROI timelines for some providers and strengthens calls for public computing, data governance and fast skill retraining.