Will AI replace Economists?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 44 mean for a Economists?

It means that, weighted across the 14 tasks we analyzed for this role, the task mix sits at 44 on a 0–100 exposure scale — in the most-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

This role has no strongly automatable task in the current data release.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Economists

Conduct research, prepare reports, or formulate plans to address economic problems related to the production and distribution of goods and services or monetary and fiscal policy. May collect and process economic and statistical data using sampling techniques and econometric methods.

Also known as: Econometrician · Economic Advisor · Economic Analyst · Business Economist · Economic Developer · Economic Consultant

AI Task Exposure Score

Very High exposure

More exposed than 77% of 968 occupations · Rank #199 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Your free role snapshot

Start with the work, not the headline

This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.

Most exposed task

Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.

Augmentable 68/100 exposure

Most durable task

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.

Durable 25/100 exposure

Useful next step

Make one change to the task mix

Compare one real week with the exposed tasks, test one supervised delegation, and redirect the saved time toward more durable work.

Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.

Build my 7/30/90-day action plan — $9

Most exposed tasks

No task is classified fully automatable in this release. The highest-exposure task relative to this role is shown in the free snapshot above; the assistive work is detailed next.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.68
Study economic and statistical data in area of specialization, such as finance, labor, or agriculture.65
Study the socioeconomic impacts of new public policies, such as proposed legislation, taxes, services, and regulations.55

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

Supervise research projects and students' study projects.25
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.25
Explain economic impact of policies to the public.30

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 44 puts Economists in the most-exposed quarter of analyzed occupations. In practice, exposure this high is about the mix: 0 of 14 analyzed tasks lean automatable, 8 augmentable, and 6 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

$124,720median wage
17,790employed
900annual openings
+1.1%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Turn your actual week into a plan

Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.

Build my 7/30/90-day action plan — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

How this score was calculated

The score is the plain average of the AI-exposure values of this role’s 14 analyzed tasks (equal task weights in this release — no hidden factors):

Augmentable 8 tasks, averaging 55/100 exposure
Durable 6 tasks, averaging 29/100 exposure

score = (8×55 + 6×29) ÷ 14 ≈ 44

Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (Very High) is a corpus quartile; the percentile is tie-aware across all 968 occupations.

FAQ — Economists

Will AI replace Economists?: This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
What does a score of 44 mean for a Economists?: It means that, weighted across the 14 tasks we analyzed for this role, the task mix sits at 44 on a 0–100 exposure scale — in the most-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?: This role has no strongly automatable task in the current data release.
Which parts of this job are most durable?: The most durable responsibilities are: Supervise research projects and students' study projects; 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; Explain economic impact of policies to the public. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
Is this score personalized to me?: No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 14 of 14 tasks carry source-level provenance · methodology