- Sluggish hiring is not AI’s fault. LinkedIn data shows economic uncertainty and monetary policy shifts are the primary drivers. Advanced economies are struggling the most, with hiring down 20%–35% compared to pre-pandemic levels.
- Skills are shifting by leaps and bounds. In the U.S., jobs requiring AI literacy skills, like prompt engineering, grew 70% year-over-year, as digital and data literacy have become the baseline across a variety of technical and non-technical job functions. This transformation is also changing the types of jobs professionals want, with trade careers drawing interest.
- Jobs in the “new collar” era have arrived. Over the past two years, 1.3 million new AI-enabled jobs have emerged globally, although AI adoption is slow and skills remain concentrated to just a few job functions. Still, these roles are giving rise to the new-collar era, an emerging workforce that blends knowledge work, advanced technical skills, and distinctly human strengths.
Leaning on insights from LinkedIn's network of over 1.3B members, this report explores how these trends are starting to transform work for professionals and companies.
