Which Jobs Are Using AI the Most?

Which Jobs Are Using AI the Most?


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This infographic visualizes AI usage across job categories, highlighting which jobs are using AI the most and where adoption is lacking.

Charted: Which Jobs Are Using AI the Most?

Two years on from the launch of ChatGPT, millions of people are now using a variety of AI tools to get tasks done daily.

However, AI adoption varies widely across jobs. While some occupations are seeing high levels of AI engagement, others remain largely untouched.

To find out how AI different professions are using AI, Anthropic analyzed millions of conversations with Claude— Anthropic’s language learning model and AI chat assistant—and documented the results in a research paper.

This infographic uses data from Anthropic’s research to visualize which jobs are using AI the most, along with data from the U.S. Bureau of Labor Statistics for what share of the U.S. workforce these jobs represent.

AI Usage by Job Categories

AI adoption exhibits a sharp divide across industries—while creative and digital professions show significant AI usage, its presence remains minimal in labor-intensive sectors.

Unsurprisingly, the Computer and Mathematical category (including software development) showed a significant amount of AI usage, accounting for 37.2% of Claude queries despite only making up 3.4% of the U.S. workforce.

Creative fields like Art, Design, and Media account for 10.3% of Claude conversations, highlighting AI’s prevalence in marketing and content generation. Similarly, Education has experienced growing AI adoption, making up 9.3% of AI-related conversations.

On the other hand, labor-intensive job segments like Construction, Transportation, Farming, and Food Preparation showed minimal AI usage. Overall, AI usage remains relatively limited in the majority of the U.S. workforce.

How People Use AI: Augmentation vs. Automation

How exactly is AI being used across different professions?

Anthropic found that in 57% of the conversations, Claude’s role was augmentative, where humans and AI collaborate to complete a task. The other 43% involved automation, where the AI directly performed tasks with minimal human intervention.

Furthermore, the research identified certain key skills that Claude exhibited in conversations. Critical thinking and listening were the most prevalent aptitudes, followed by reading comprehension, writing, and programming.