Who uses artificial intelligence the most? The anthropic economic index spreads the data

Artificial intelligence transforms a newfangled workplace, but until now its impact on individual tasks and competitions was hard to estimate. AND new report With AnthropicStart -up and for ClaudeIt offers a view based on how companies and specialists integrate artificial intelligence for their work.

. Anthropic economic indicatorPublished today, it contains a detailed analysis of the utilize of artificial intelligence in various industries, drawing on millions of anonymous conversations with Claude, AI Antropic assistant. The report states that although artificial intelligence is not yet widely automatized by entire tasks, it is widely used to expand specific tasks – especially in terms of software creation, technical writing and business analysis.

“The use of artificial intelligence is focused primarily on the creation of software and writing, which together constitute almost half of the total use”, ” Report countries. “However, the utilize of artificial intelligence extends more widely in the entire economy, with ~ 36% of the competition using AI for at least a quarter of its related tasks.”

Not only noise: a view on AI adoption

Unlike previous studies, which were based on expert forecasts or surveys reported by them, anthropic research is based on direct analysis of how employees actually utilize AI. The company used its privacy tool tool, Clioto examine over four million user talks with Claude. These interactions were then mapped to the professional categories from the American Labor Department O*net database.

Data suggests that artificial intelligence plays an crucial role as a tool of cooperation, not just an automation engine. In fact, 57% of the utilize of artificial intelligence in the data set concerned “enlargement”, which means that AI helped employees instead of replacing them. This includes tasks such as brainstorming, refining ideas and checking work in terms of accuracy. The remaining 43% of utilize belonged to the direct automation category in which AI performed tasks with minimal human involvement.

This balance between enlargement and automation is a key indicator of how companies implement AI. “We believe that 57% of interaction shows improvement patterns (e.g. forward iteration and defects in the task), while 43% suggests automation (e.g. completing the application with minimal human involvement),” says the report.

More partner than a deputy: AI increases, not eliminating work

One of the most striking conclusions of the report is that artificial intelligence does not make the whole role of work. Instead, it is selectively received, helping in specific tasks, not fully automation of the competition.

“Only ~ 4% of the competition shows the use of AI for at least 75% of their tasks, which suggests the potential of deep use at the task level in some roles,” notes the report. “To put it more, ~ 36% of the competition shows the use of at least 25% of their tasks, which indicates that AI has already begun to spread in the task portfolios in a significant part of the labor force.”

This selective adoption suggests that although AI transforms the work, it does not yet lead to universal displacement. Instead, professionals utilize artificial intelligence to enhance performance, unload repetitive work and improve decision making.

The report defines software engineering as a field with the highest AI adoption, which is 37.2% of the analyzed conversations. These interactions usually included tasks such as debugging code, modifying software and solving problems.

The second highest category of utilize was imaginative and editorial works, including roles in the media, marketing and content production (10.3% of queries). AI is widely used to design and improve text, facilitate in research and generate ideas.

However, the utilize of AI was much lower in areas that require physical work, such as healthcare, transport and agriculture. For example, only 0.1% of the analyzed conversations were related to agricultural, fishing and forest tasks.

This discrepancy emphasizes the current AI restrictions that stand out in text and analytical tasks, but fights works that require practical work, manual dexterity or complicated interpersonal interactions.

Division of AI remuneration: A surprising sweet place for adoption

One of the most intriguing findings of the report is that the utilize of AI is not in line with a straightforward model when it correlates with wages. Instead of being concentrated in low or high salary works, AI adoption peaks in the field of remuneration from half to amount.

“AI uses peaks in the upper payroll quarter, but the pay spectrum decreases in both extremes,” notes the report. “Most of the high -use competitions focused in the upper quarter correspond mainly to the positions of the software industry, while both competitions with very high salaries (e.g. doctors) and low -wage items (e.g. restaurant employees) show relatively low use.”

This means that artificial intelligence is most aggressively taken in roles that require analytical and technical skills, but not necessarily the highest level of specialist specialist knowledge. It also raises crucial questions about whether artificial intelligence exacerbates or alleviate existing economic inequalities-especially if employees of lower salaries have less access to the benefits of increasing AI efficiency.

What business leaders must know because AI transforms his working force

For technical decision -makers, the report contains a road map in which AI can have the greatest impact on miniature -term. The data suggest that companies should focus on AI adoption in knowledge -based competitions in which enlargement, and not explicitly replace, is a dominant model.

The report is also an early warning for decision -makers: although AI does not yet replace all work on a huge scale, its growing presence in high value tasks may have a deep impact on the dynamics of the workforce.

“AI has already begun spreading into the task portfolios in a significant part of the workforce,” says the report. “While our data reveals where AI is used today, the inference of long -term consequences of these early use trends is significant empirical challenges.”

Anthropic has Open data set For her analysis, inviting scientists to further examine how AI shapes the economy.

The AI ​​economy is here – are we ready?

. Anthropic economic indicator It provides one of the most comprehensive snapshots regarding the utilize of AI in the workplace – not theoretically, but in practice. His findings suggest that AI does not lead to mass displacement, which many were afraid of, but changes the nature of work in a significant way.

For companies, this means that AI adoption does not only apply to reduction of costs – it is about unlocking fresh performance and creativity. In the case of decision -makers, urgent questions about how to ensure that AI benefits are evenly distributed, not deepening existing economic divisions.

The challenge lies not only in measuring these changes, but also preparing for them. If AI continues to expand its role in the working force, companies and employees who learn how to develop it effectively, they will develop. Those who ignore this risk leaving behind.

Daily observations in matters of business utilize with VB daily

If you want to impress your boss, VB Daily is covered by you. We give you an internal measure about what companies do with generative artificial intelligence, from regulatory changes to practical implementation, so you can share insights for the maximum roi.

Read our Privacy Policy

Thanks for the subscription. Check out more VB newsletter here.

There was a mistake.