With many companies blaming AI technology for cutting their workforce, Anthropic has introduced a new metric for enterprises to determine where AI is making an impact.
Generative AI vendor released report on March 5, finding that AI technology has not yet reached its full potential in the workplace.
In the report, the vendor used the “Observed Exposures” metric to look at three data sources. They are whether a large language model (LLM) such as a vendor’s cloud model can perform a task twice as fast as a human; How the cloud is actually being used in work-related settings, and how job descriptions reflect the use of AI in specific roles. Using specific role metrics, Anthropic found that actual AI use in the workplace is lower than thought.
The cloud maker said there has been no systematic increase in unemployment among workers, such as older professionals, women, more educated individuals and higher-paid employees, since 2022. However, recruitment of youth workers has declined, and Job roles most exposed to AISuch as computer programmers, customer service representatives, and those for whom writing, reading, and research can be automated. At the same time, humans are still not using AI technology to its full potential, according to the report.
Anthropic’s report This comes amid an unfavorable job market, with many companies blaming layoffs on AI technology. For example, on February 26, block ceo jack dorsey Said his company will lay off 4,000 employees to restructure AI-powered teams. Oracle is also expected to cut jobs as it tries to meet its AI data center debt commitments. Other companies, including Pinterest, Salesforce and HP, have blamed AI for widespread layoffs and layoff plans.
What is really going on
These events have affected the job market with many people fearing that LLM will take away their jobs. However, the Anthropic report reiterates what some experts have concluded: It is too early AI blamed for layoffsBecause it is still not clear what impact technology is having on jobs.
“Given that we are not yet three and a half years into the AI era, it is difficult to trust any quantitative measures of the impact on labor,” said Michael Bennett, associate vice chancellor for data science and artificial intelligence strategy at the University of Illinois Chicago.
Bennett added, “Some employers are using the notion of AI displacement of human workers to help justify cuts they would have made.” “While others are simultaneously seeing signs of real obsolescence in their workplaces and handing out pink slips.”
Despite this, layoffs are causing particular concern among programmers and engineers who are concerned about how AI is changing the coding task They do, Bennett said. AI coding platforms like Anthropic’s Cloud Code and OpenAI’s Codex Have become increasingly popular and are being considered a threat to coding-based jobs.
He said Anthropic’s Observed Exposure metric is useful for identifying changes that AI technology is making in the workplace.
“We need more and more granular metrics,” he said. “This will likely encourage the development of new approaches.”
