The AI Economy
U.S. jobs requiring AI-literacy skills grew 70% year over year in LinkedIn’s 2026 labor-market research, even as overall hiring remained well below pre-pandemic levels.
The important distinction is that AI literacy is broader than AI engineering. Employers are increasingly asking workers in technical and nontechnical functions to understand how to use, evaluate or work alongside AI systems. That shifts the skills question from a narrow specialist pipeline toward a wider set of occupations.
LinkedIn also argues that sluggish hiring is not primarily an AI effect, citing broader economic uncertainty and monetary conditions. That is an important constraint on interpretation: faster growth in AI-related skill requirements does not establish that AI caused the overall hiring slowdown.
For workers, the practical implication is to evaluate AI fluency as an increasingly transferable skill while still grounding career decisions in occupation-specific demand.
Source: LinkedIn Economic Graph, Building a Future of Work That Works, 2026. https://economicgraph.linkedin.com/research/labor-market-report-2026





