The study reveals that AI usage is most prevalent in software development and writing tasks, accounting for nearly half of the total usage. However, its application extends to other economic sectors such as education and finance. The analysis shows that 57% of AI interactions are aimed at augmenting human capabilities, while 43% are for task automation.
The document also explores how different AI models, such as Claude 3 Opus and Claude 3.5 Sonnet, are used for various tasks. For instance, Opus is more commonly used for creative and educational work, whereas Sonnet is preferred for coding and software development tasks.
Although AI usage is more pronounced in occupations requiring considerable preparation, such as those with a bachelor's degree, it is less common in roles requiring minimal or extensive preparation, like in medicine or construction. This document is useful for understanding how AI is transforming the job market and which occupations are most impacted by this technology.
18/03/2026
Accenture report analyzing why cloud must evolve to sustain AI innovation. Based on data from 216 companies, it proposes three strategic ...
05/03/2026
Anthropic study proposing a new way to measure the real impact of AI on the labor market. Combines theoretical capabilities with real usage data and ...
27/01/2026
Essay by Dario Amodei analyzing the main risks of increasingly powerful AI systems: from unpredictable autonomous behaviors to biological weapons, ...
23/01/2026
Harvard Business Review Analytic Services report based on 623 respondents analyzing the current state of agentic AI in organizations: expectations, ...