Anthropic introduced anthropic Economic Index on Monday to understand how Artificial Intelligence (AI) is affecting the labor market and the economy. Preliminary reports of research show that the software engineering sectors are the most affected by this new technology. In research, art, design, sports, entertainment and media areas found second place in terms of jobs affected by AI. In addition to finding the affected markets, the report also claimed that the use of AI is bending more towards an increase than automation.
Anthropic Economic Index shares initial report
In a news room PostThe AI firm announced the launch of the Anthropic Economic Index. The purpose of the initiative is to understand how AI is affecting labor markets and economy over time. The new research uses data from interaction with clouds rather than traditional methods such as opinions from general surveys and general surveys.
As of its beginning ReportResearch found that software engineering roles saw AI’s highest adoption with 37.2 percent questions sent to Cloud. AI Chatbott was mainly asked about tasks like software modification, code debugging and network troubleshooting.
Data conceived from anthropic Economic Index
Photo Credit: Anthropic
The second largest category affected by AI included “Art, Design, Sports, Entertainment and Media” with 10.3 percent questions. The report states that Claude was mainly asked questions about various types of writing and editing functions. The lowest represented category includes “farming, fishing and forestry” roles, which contributed only 0.1 percent questions.
In addition to AI-affected jobs, Dataset also revealed that only four percent of jobs used AI for three-fourths related tasks. On the other hand, 36 percent of the jobs used AI for at least one-fourth of their functions. Both low-payments and very high-paying jobs saw a very low rate of AI use. However, mid-to-high average pay-paying jobs were found to be one of the heaviest AI users.
Interestingly, the report also states that instead of AI automation (where AI collaborated with a user to do a task) (where AI did a work directly) Was more inclined towards growth. Depending on the data, it was found that 57 percent of the quarry works for cloud were being extended contrary to 43 percent of the works that were becoming automated.
We also saw in more detail on how the work was being done – in particular, in which works “automation” (where AI works directly like drafting the document) versus “growth” (where AI does a task For the user cooperates as it works)).
“In more than half of the cases only, AI was not being used to change the people doing tasks, but worked with them inste , Learning (eg, new knowledge and skills that help the user achieve new), and work recurrence (for example, helping the user brainstorming or otherwise repeated, doing normal work), ”the report states.
