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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Economists are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of an economist is labeled as "Not Very Resilient" because many tasks involving data analysis and number crunching are being automated by AI, allowing machines to handle routine work like data cleaning and trend prediction. This means economists spend less time on these tasks, which were once a core part of their job.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is not very resilient
The career of an economist is labeled as "Not Very Resilient" because many tasks involving data analysis and number crunching are being automated by AI, allowing machines to handle routine work like data cleaning and trend prediction. This means economists spend less time on these tasks, which were once a core part of their job.
Read full analysisAnalysis of Current AI Resilience
Economists
Updated Quarterly • Last Update: 2/17/2026

Many data-oriented tasks in economics are being helped by AI. For example, Bloomberg Economics reports that machine learning can “automate routine tasks like data cleaning” and help pull insights from new data sources (like news articles or satellite images) to predict trends [1] [1]. One magazine notes AI “has become a dependable tool” for forecasting renewable energy output, finding patterns in weather and production data faster than old methods [2].
These examples show economists are using AI to crunch numbers and run models more quickly – letting them spend more time interpreting results and less on busywork [1] [2].
In contrast, human-to-human parts of the job stay mostly unchanged. Teaching or testifying in Congress is still done by people, not robots. Even in teaching, AI is only a tutor for basic questions so far: a study found ChatGPT can explain simple econ ideas correctly, but it often sounds too sure of itself and misses bigger context [3].
Tasks like supervising students or advising on policy require judgment, empathy, and trust – skills AI cannot replace. For instance, financial “robo-advisors” handle routine advice, but experts note human advisors are still in high demand [4]. In short, AI tools are starting to handle the math and data work in economics, but jobs that need human insight, ethics or personal contact remain firmly human.

AI tools are widely available now (think free chatbots and analytics software), so economists can try them easily. Some companies are already using AI quickly: for example, an insurer built a “junior underwriter” AI to do routine analysis so experienced staff can focus on complex cases [5]. Younger workers especially are eager to use AI and may push its use in research [5].
There are clear benefits – one law firm reported halving its project cost after building an AI document-review tool [5] – which encourages firms to invest.
However, adoption can be slow because of cost and trust issues. Setting up AI systems takes time and money, and a recent analysis found most AI pilot projects didn’t give a big return [5]. Economists also work on sensitive topics, so experts worry about errors or “hallucinations.” For example, research on AI tutoring notes that ChatGPT sometimes answers wrongly with too much confidence [3].
Because of this, people will likely keep humans “in the loop” – using AI for support but relying on people’s judgment, especially for policy recommendations or teaching difficult ideas. Overall, AI is growing as a helpful assistant in economics, but human skills like creativity, ethics, and clear communication remain very important [1] [4].

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They study money and resources to understand how they affect people and businesses, and they give advice on making smart financial decisions.
Median Wage
$115,440
Jobs (2024)
17,600
Growth (2024-34)
+1.2%
Annual Openings
900
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Provide litigation support, such as writing reports for expert testimony or testifying as an expert witness.
Supervise research projects and students' study projects.
Forecast production and consumption of renewable resources and supply, consumption and depletion of non-renewable resources.
Study the socioeconomic impacts of new public policies, such as proposed legislation, taxes, services, and regulations.
Testify at regulatory or legislative hearings concerning the estimated effects of changes in legislation or public policy and present recommendations based on cost-benefit analyses.
Provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers.
Develop economic guidelines and standards and prepare points of view used in forecasting trends and formulating economic policy.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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