- The anthropic report finds that only 4% of workers use AI for 75% of their tasks
- Software engineers use more than other types of workers
- AI is better described as a technology that increases human capacilitos
Although investments in AI continue to grow, only 4% of occupations use AI for 75% or more of their tasks, highlighting how far you have to get to completely record technology within our workflows, they have Affirmed new reports.
It may not be conferred largely, but many workers have tried, with more than a third (36%) of occupations that incorporate technology for at least 25% of their tasks.
The figures come from an article published by Anthrope researchers, who analyze more than four million Claude.AI conversations.
Not many workers use too much
More specifically, Anthrope researchers break down exactly how AI tools are currently being used, revealing that almost two out of five (37%) IA users work in software engineering roles.
Two out of five (43%) use cases proved to be for automation, but the researchers observed the three remaining fifths (57%) of the requests for increasing human capacities, or in other words, increasing efficiency. This finding directly challenges the previous concerns that AI could replace human workers, and is only one of a growing number of studies that support the pro-human argument for AI.
The use of artificial intelligence is also more frequent in the middle and high works in which many knowledge workers are found. Both salary extremes and manual and physical work, as well as highly qualified workers and doctors, used less.
A separate study from Microsoft added that workers who trust more in a task are among the most likely to apply critical thinking to Genai production, compared to workers who could be less familiar with the task, confirming the power of the power of AI as a human aid and not a replacement.
However, we could be on the cusp of an important change. The researchers concluded: “As IA systems expand beyond the text to handle video, speech and physical actions through robotics, already measure that ia agents become more capable of carrying out Extended tasks autonomously, the nature of human-Ai collaboration is prepared to transform dramatically. “
