Economists
Most of the workflow is automatable. Human judgment remains for exceptions, clients, or ambiguity.
SOC 19-3011 · Life Physical And Social Science
Signal composition
how the 0-100 score is assembled
By seniority
multiplicative adjustment from category curve
Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.
Task-level analysis
scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance
Prepare reports on economic research and analysis
Report preparation from completed analysis is highly automatable—AI can structure findings, generate executive summaries, create standard sections, and format documents. This is similar to the paralegal contract drafting anchor, where AI handles most production with human review.
BLS evidence: Economists 'conduct research, prepare reports, and evaluate issues related to monetary and fiscal policy.'
Present research findings in tables, graphs, and written articles
AI can generate visualizations, draft written summaries of findings, and create tables from structured data with minimal oversight. Modern LLMs can translate statistical results into clear prose, though final framing and emphasis choices often require human review.
BLS evidence: Economists 'Present research in tables, graphs, and articles for academic journals, government publications, and other media.'
Analyze data using mathematical models, statistical tools, and software
AI excels at applying standard statistical methods, running regressions, and implementing established mathematical models. Modern AI can write analysis code, execute complex calculations, and identify patterns, though economists still guide model selection and validate appropriateness for specific contexts.
BLS evidence: Economists 'Analyze data using mathematical models, statistical tools, and other software' and 'study historical trends and make forecasts, using software to analyze data.'
Analyze consumer demand and market conditions to support business decisions
AI systems can process point-of-sale data, analyze consumer behavior patterns, segment markets, and forecast demand using established techniques. These are well-structured analytical tasks where AI already demonstrates strong performance, though strategic interpretation remains human-led.
BLS evidence: Business economists 'may analyze consumer demand and sales to help a company maximize its profits.'
Conduct surveys and collect economic data
Survey design, distribution, and data collection are increasingly automatable through digital platforms and AI-assisted tools. AI can handle sampling, questionnaire logic, and initial data cleaning, though survey design for novel research questions still benefits from human expertise.
BLS evidence: Economists 'Conduct surveys and collect data' and those in government 'may collect and analyze data about the economy, including employment, prices, productivity, and wages.'
Interpret and forecast economic trends such as financial markets and business cycles
AI can process vast datasets and identify statistical patterns in economic indicators, but forecasting requires integrating qualitative factors, structural breaks, and unprecedented events that challenge pure pattern-matching. Human judgment remains critical for interpreting model outputs in context.
BLS evidence: Economists 'Interpret and forecast trends, such as of financial markets' and 'study historical trends and make forecasts.'
Evaluate economic policies and proposals to inform policymakers
AI can analyze policy proposals against historical data and economic models, but evaluation requires weighing competing values, assessing political feasibility, and anticipating second-order effects in ways that demand human judgment about priorities and trade-offs.
BLS evidence: Economists in government 'may evaluate various economic policies or proposals to inform policymakers about the impact of laws and regulations.'
Research economic issues related to labor, trade, education, and other topics
AI can assist with literature review, data gathering, and initial pattern identification, but formulating novel research questions and designing methodologically sound studies in economics still requires substantial human judgment about what matters and why.
BLS evidence: Economists typically 'Research economic issues related to education, the labor force, international trade, and other topics' as their primary duty.
Advise businesses, governments, and individuals on fiscal policy and economic problems
While AI can generate policy analysis and recommendations, advising requires building trust, understanding unstated stakeholder constraints, navigating political considerations, and adapting communication to audience sophistication—high-touch human skills that AI cannot yet replicate effectively.
BLS evidence: Economists 'Advise businesses, governments, and individuals on problems related to fiscal policy or other economic topics' and 'help managers understand the economy to inform their decision making.'
Task heatmap
automation score by task, sorted by weighted contribution
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External signals and sources
category-level priors and BLS fields that feed the four non-task signals
- Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
- BLS projected outlook: Slower than average (1%)
- Indeed demand signal (monthly refresh pending)
- BLS typical entry-level education: Master's degree
- Credential trend signal (annual refresh)
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