Increased AI Exposure Is Changing Perceptions of Job Security and Productivity

A survey of more than 81,000 Anthropic AI users provides a detailed look at how artificial intelligence is influencing day-to-day work. Instead of relying only on economic models or company-level data, the study draws directly from individual experiences, capturing how people describe changes in their tasks, productivity, and expectations for the future.

Responses show that AI is already integrated into a wide range of roles, with many users reporting meaningful improvements in how they complete their work.

These improvements include finishing tasks more quickly and handling more complex assignments. At the same time, a significant portion of respondents express concern about how these changes could affect long-term job stability, especially in occupations where AI is heavily used.

The results highlight a workforce that is adapting to new tools while also reassessing the value and durability of its skills.

Why It Matters: The survey links observed AI usage with reported worker outcomes, showing that higher exposure to AI is associated with measurable increases in productivity, including faster task completion and the ability to handle more complex or unfamiliar work. However, it also finds that greater exposure and larger efficiency gains are tied to higher levels of concern about job security, particularly among early-career workers. These indicate that AI’s integration into daily tasks is changing how workers assess the future demand for their skills and potential changes in employment opportunities.

• AI Expands Work Capabilities: Nearly half of respondents who described productivity gains said AI allowed them to take on new types of work, with 48% answering expanded scope as their main benefit. This means that many users are working faster but also handling tasks that were previously outside their expertise, which can increase individual output and alter how roles are defined.

• Exposure Increases Job Concern: About 20% of all respondents expressed concern about job displacement. This concern rises with AI exposure, with people in the highest exposure group mentioning job risk about three times as often as those in the lowest exposure group. The data shows that as exposure increases, concern about job loss rises slightly. Specifically, for every 10% increase in exposure, the sense that jobs are at risk goes up by about 1.3%.

• New Tasks Become Accessible: Among those who described productivity benefits, 48% focused on expanded capabilities while 40% emphasized faster completion of existing tasks. This distribution shows that gaining access to new types of work is slightly more common than simply improving speed, reinforcing the idea that AI is changing what people can do on top of how quickly they can do it.

• Early-Career Workers Show Higher Concern: While exact percentages vary by group, the data shows that early-career respondents are significantly more likely to report concern about job displacement than senior workers. In addition, only about 60% of early-career respondents said they personally benefited from AI, compared to about 80% of senior professionals.

• Faster Work Raises Job Risk Perception: Respondents who reported the highest levels of speed improvement were also the most likely to express concern about job loss. The relationship follows a clear upward trend, where increasing speed gains correspond with higher perceived risk, indicating that efficiency improvements can heighten awareness of potential changes in labor demand.

Go Deeper -> What 81,000 people told us about the economics of AI – Anthropic