Overview
- Regional surveys show strong interest but weak guidance: 85% of professionals want AI in their jobs yet only 18% of organizations report clear policies, with nine in ten Argentine employees using AI even though just 13% admit regular use.
- Experts warn that unreported “shadow AI” heightens error and trust risks and recommend clear task rules, disclosure of AI‑assisted work, and mandatory human review before final outputs.
- Time2Grow research says generative AI can assume over 90% of software engineering competencies, shifting workforce value toward decision‑making, empathy, communication, critical thinking and project management.
- The study urges preventive reskilling and anticipates a larger middle‑management layer as routine operations automate, cautioning that reactive training will leave firms short of needed supervisory talent.
- Marketing data highlight a trust gap and content fatigue: Pew finds half of U.S. adults more concerned than excited about AI, Deloitte ties purchase likelihood to relevant personalization, and 10Fold reports record 2025 content output that risks homogenization, reinforcing calls for transparent, hybrid human‑AI customer experiences.