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Artificial intelligence reshapes the modern workplace, but so far, it has been difficult to determine its impact on individual tasks and professions. A New report from manStarting artificial intelligence behind ClaudeIt provides a data -based offer on how to integrate companies and professionals from artificial intelligence in their work.
the Human Economy IndexAnd, which was released today, provides a detailed analysis of the use of artificial intelligence through industries, derived from millions of unknown conversations with Claude, AI’s assistant in humans. The report finds that although artificial intelligence is not yet automated, it is widely used to increase specific tasks – especially in developing software, technical writing and business analysis.
“The use of artificial intelligence is primarily focused on the tasks of developing and writing software, which represents nearly half of the total use,” Report Countries. “However, the use of artificial intelligence extends wider across the economy, as 36 % of professions use about 36 % of professions for at least a quarter of its associated tasks.”
Unlike previous studies that relied on expert predictions or self -reported investigative studies, anthropologist’s research depends on direct analysis of how workers already use artificial intelligence. The company benefited from the analysis tool for excavation, CleoTo check more than four million conversations used with Claude. Then these interactions were appointed to professional categories from the US Department of Labor O*a clear database.
The data indicates that artificial intelligence plays an important role as a cooperative tool rather than just an automation engine. In fact, 57 % of the use of artificial intelligence in the data set involves “increase”, which means that artificial intelligence was helping workers rather than replacing them. This includes tasks such as brainstorming, refining ideas, and checking work for accuracy. 43 % of the remaining use in the category of direct automation decreased, as Amnesty International has conducted tasks with the minimum human participation.
This balance is between the increase and automation of a decisive indicator on how companies are spreading artificial intelligence today. “We find that 57 % of the reactions show increasing patterns (for example, the repetition of the task) while 43 % suggest automation (for example, meeting a request with the minimum human participation),” says the report.
One of the most amazing conclusions of the report is that artificial intelligence does not make entire functionality roles outdated. Instead, they are selectively adopted, helping with specific tasks instead of fully automated professions.
“Only 4 % of professions show the use of artificial intelligence at least 75 % of its tasks, indicating the possibility of using the deep task level in some roles,” the report notes. “On a broader scale, about 36 % of professions appear in at least 25 % of their tasks, indicating that artificial intelligence has already begun to spread in the task portfolio across a large part of the workforce.”
This selective adoption indicates that although artificial intelligence converts work, it does not yet displace wide work. Instead, professionals use artificial intelligence to enhance productivity, drop frequent work, and improve decisions.
The report determines software engineering as the field with the highest accreditation of Amnesty International, which represents 37.2 % of the analyzed talks. These reactions usually include tasks such as error correction code, software modification, exploring and repairing errors.
The second highest category of uses in creative and liberal work, including roles in the media, marketing and content production (10.3 % of the inquiries). AI is widely used to formulate the text and its refinement, help in research, and generate ideas.
However, the use of artificial intelligence was much lower in fields that require physical work, such as health care, transportation and agriculture. For example, only 0.1 % of the analyzed conversations were linked to the tasks of agriculture, fishing and forests.
This contrast sheds light on the current restrictions of the IQ Agency, which excels in the tasks based on text and analytical but struggles with jobs that require practical work, handicraft or complex personal interactions.
One of the most interesting results for the report is that the use of artificial intelligence does not follow a simple pattern when it is associated with wages. Instead of focusing on low or high -wage functions, artificial intelligence depends its peak in the range of salaries from mid to top.
“Artificial intelligence uses peaks in the upper quarter of wages, but it decreases on both ends of the wage spectrum,” the report notes. “Most of the professions with high use in the upper quarter are compatible with software industry sites mostly, while both professions with very high wages (for example, doctors) and low -wage situations (for example, restaurant workers) show a relatively low use .
This means that artificial intelligence is adopted more strongly in roles that require analytical and technical skills, but not necessarily the highest levels of specialized experience. It also raises important questions about whether artificial intelligence will exacerbate or reduce the current economic inequality-especially if the less wage workers have access to the benefits of enhancing the productivity of artificial intelligence.
For technical decision makers, the report provides a road map for the place that is likely to have the largest influence in the short term. The data indicates that companies should focus on adopting artificial intelligence in knowledge -based professions where an increase, rather than an explicit replacement, is the prevailing pattern.
The report also provides an early warning to policy makers: While artificial intelligence does not replace the entire functions on a large scale, its increasing presence in high -value tasks can have a profound impact on the workforce dynamics.
“Artificial intelligence has already begun to spread in the governor of task through a large part of the workforce,” the report says. “While our data reveals the place where artificial intelligence is used today, the conclusion of long -term consequences of these early use trends constitute great experimental challenges.”
man Open source Data set Behind its analysis, the researchers invite more to explore how to form the artificial intelligence of the economy.
the Human Economy Index It provides one of the most comprehensive shots so far on how to use artificial intelligence in the workplace – not theory, but in practice. The results of which he reached indicate that artificial intelligence does not lead to the displacement of collective functions that many fear, but it changes the nature of work in meaningful ways.
For companies, this means that the adoption of artificial intelligence is not only related to reducing costs – it is related to canceling new competencies and creativity. For policy makers, it raises urgent questions about how to make sure the benefits of artificial intelligence are distributed equally, rather than deepening the current economic divisions.
The challenge facing measuring these changes is only in preparing for them. If artificial intelligence continues to expand its role in the workforce, companies and workers who learn how to use it effectively will flourish. Those who ignore this risk leaving it.