36% of Jobs Use AI for 25% Tasks, 57% Augment Work, 43% Automate, Software Leads at 37.2%

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The Anthropic Economic Index which was released this week provides detailed analysis about industries that have been using AI by using the data from Claude. The report also talks about that AI isn’t going to replace majority of jobs anytime soon but it is changing how we work in workplaces by providing help in areas like technical writing, software developer and business analysis and 36% of the jobs have been using AI for at least a quarter of their tasks. The report focuses on finding real world usage of AI and its adoption instead of using predictions and surveys by analyzing four million conversations of users with Claude.

The findings of the analysis shows that 57% of the AI usage is augmented which helps AI in tasks like polishing ideas, brainstorming and checking accuracy of works. On the other hand, 43% of AI usage is direct automation in which AI handles tasks with minimal human help. This shows that businesses are using augmentation as well as automation to do their tasks. It was also found that AI isn’t replacing the jobs entirely, it is just being used for assistance in specific tasks. 4% of the jobs are using AI for 75% of their tasks which shows that AI can be helpful in certain roles. 36% of the jobs are using AI for 25% of the tasks which tells that people are slowly integrating AI to become a part of their jobs.

The report also shows in which fields AI adoption is strongest, with fields kike media, tech and business being at the top. The analyzed conversations with Claude shows that software development is the leading field with AI interactions (37.2%) and people are using it for tasks like modifying software, debugging codes and troubleshooting networks. 10.3% of the analyzed conversations were about creative and editorial roles where people are using AI for researching, drafting text and generating ideas. AI adoption was found to be lower in jobs with physical labor like transportation, healthcare and agriculture. Only 0.1% of the conversations involved fishing, farming and forestry tasks. This shows that most people are using AI in text based and analytical tasks while it is not being helpful to people in physical work and complex human interactions.

An interesting thing from the report was that AI adoption doesn’t follow a certain wage pattern, and it is higher in mid to high salary ranges. The report says that AI usage is higher in the upper quartile of wages mostly in software roles, but is lower in very high wage jobs like physicians and very low wage jobs like restaurant workers. This shows that AI adoption and usage doesn’t depend on highest levels of expertise or wages, rather it depends on how much technical and analytical skills are required for a job. The report offers a helpful guide for business leaders who want to know about AI’s impact and how its adoption will bring a change.