will AI replace data analysts?
Will AI replace data analysts? Nobody knows. In conversations the Anthropic Economic Index matched to data analysis tasks, 53% stayed hands-on and 47% handed the task off. That's usage, not job loss. This isn't job advice.
Includes a sort-the-real-tasks widget built on the Anthropic Economic Index — hands-on or hands-off, then the real split.
| Task (verbatim) | Hands-on | Hands-off |
|---|---|---|
| Analyze, manipulate, or process large sets of data using statistical software. | 50% | 50% |
| Clean and manipulate raw data using statistical software. | 41% | 59% |
| Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. | 48% | 52% |
| Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. | 57% | 43% |
| Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users. | 29% | 71% |
| Identify relationships and trends or any factors that could affect the results of research. | 65% | 35% |
| Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis. | 39% | 61% |
| Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques. | 48% | 52% |
| Recommend data-driven solutions to key stakeholders. | 70% | 30% |
| Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. | 55% | 45% |
| Write new functions or applications in programming languages to conduct analyses. | 42% | 58% |
Data Scientists ranks 39 of 718 occupations by share of matched Claude usage (0.61%). Across every matched conversation for this occupation, 53% stayed hands-on and 47% were handed off. 11 of 16 tasks are published above; the rest are withheld for privacy, not zero. Period: May 2026. The index has no slice called 'data analysts'; the closest published occupation is Data Scientists, and that is what these numbers describe.
This page counts conversations matched to data analysis tasks, not people. Most of the humans in those conversations are probably not data scientists themselves. The data has no trend line, so it can't show usage rising or falling, and it says nothing at all about whether jobs in this field are growing, shrinking, safe, or at risk. Don't use this page to decide whether to enter, stay in, or leave this line of work, in either direction.
Source: the Anthropic Economic Index (CC BY 4.0), period May 2026, snapshot 2026-06-24. See every job on the task-by-task exposure checker. These numbers describe Data Scientists, not data analysts generally.