Anthropic introduced the Anthropic Economic Index on Monday to understand how artificial intelligence (AI) is impacting the labour market and the economy. The Initial Report of the Research Reveals that Software Engineering Fields are the most impacted by this new technology. The research found the arts, design, sports, entertainment, and media fields to be in the second spot in terms of jobs being impacted by ai. Apart from finding the impacted markets, the report also claimed that ai’s usage is learning more Towards Augmentation Compared to Automation.
The Anthropic Economic Index Shares Initial Report
In a newsroom post, the AI firm announced the launch of the anthropic economy index. The initiative is aimed at understanding how ai is impacting the labour markets and economy over time. The new research uses data from conversations with claude, instead of traditional methods such as opinions from experts and general surveys.
As per its initial report, the research found that software engineering roles witnessed The AI Chatbot was primarily asked about tasks such as software modification, code debugging, and network Troubleshooting.
Visualized data from the anthropic economic index
Photo Credit: Anthropic
The second largest category to be impacted by ai involved the fields of “arts, design, sports, entertainment, and media” with 10.3 percent of queries. The report stated that claude was mainly asked questions about Various Kinds of Writing and Editing Tasks. The least represented category incluses “Farming, Fishing, and Forestry” Roles which will only contributes 0.1 percent of queries.
Apart from jobs being impacted by ai, the dataset also reviewed that only four percent of jobs used ai for three-futures of the associates. On the other hand, 36 percent of jobs used ai for at least one-front of their tasks. Both low-post and very-high-paying jobs witnessed very low rates of ai usage. However, The Mid-to-High Median Salary-Paying Jobs was found to be among the heaviest ai users.
Interestingly, the report also stated that AI was learning more Towards Augmentation (where ai collaborated with a user to perform a task) Rather than automation (where ai directly performed a task). Based on the data, it was found that 57 percent of tasks Queried to claude was being augmented as opposed to 43 percent of tasks that wereed automated.
We also looked in more detail at how the tasks were being performed – Specifically, at which tasks involved “automation” Olaborates with a user to perform a task ).
“In just over half of cases, ai was not being used to replace people doing tasks, but instead worked with them, engaging in tasks like Validation (EG, Dual-CHACKING The User’s Work), Learning (Eg, Helping uire new Knowledge and skills), and task iteration (EG, helping the user brainstorm or otherwise doing repEed, generative tasks), ”The report added.
