Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Legislators:

58.4%

Median Score

Meaningful human contribution

Low

Long-term employer demand

High

Sustained economic opportunity

High

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient legislative work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For legislative work, six of eight sources had data, with no input from Anthropic or Will Robots Take My Job. The three AI exposure sources (AI Resilience Model, Microsoft, and OpenAI Signals) all agreed that AI can handle much of the analytical workload, pushing the human contribution score low. Strong demand and pay signals pulled the overall score up, landing legislators at "Mostly Resilient" with medium-high confidence.

AI Resilience Report forLegislators

$108,510 median salary305,100 annual openingsSOC Code: 11-1031.00

Legislators are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Legislators are labeled "Mostly Resilient" because the heart of the job, which includes listening to constituents, negotiating with colleagues, and making judgment calls on complex issues, is deeply human work that AI simply cannot replicate. O*NET rates the core legislative tasks as only about 2% automatable, and voters expect real, accountable human representation, which creates a natural barrier to AI replacement.

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This role is mostly resilient

Legislators are labeled "Mostly Resilient" because the heart of the job, which includes listening to constituents, negotiating with colleagues, and making judgment calls on complex issues, is deeply human work that AI simply cannot replicate. O*NET rates the core legislative tasks as only about 2% automatable, and voters expect real, accountable human representation, which creates a natural barrier to AI replacement.

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Analysis of Current AI Resilience

Legislators

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Legislators jobs?

If you're worried a chatbot will replace your local state senator, take a breath — AI is showing up more as a helpful assistant than a replacement. The core work of a legislator (listening to constituents, negotiating, voting, and showing up at meetings, which O*NET rates as only about 2% automatable) is still deeply human. But the paperwork side is being augmented fast.

Fifty-five percent of legislative staff are using generative AI tools for legislative work, according to the most recent survey results. Usage is up 11 percentage points from 2025, and more than double since 2024. NCSL's June 2026 RELACS Report [1] notes staff are using ChatGPT, Copilot, Gemini, and Claude for research, proofreading, transcription, legal analysis, and some drafting — the same kinds of tasks (like balancing expense accounts, rated ~30% automatable) that support lawmakers behind the scenes.

POPVOX Foundation's recap of the 2026 NCSL Summit [2] describes state offices running "AI sandboxes" that turn a 139-page statute into a dashboard of trackable obligations. But augmentation has real limits: Engadget, citing Politico [3], reports the House Office of Legislative Counsel is buried in AI-drafted bills with wrong citations and mislabeled terms, and The Next Web [4] says fixing them takes longer than writing them from scratch.

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AI Adoption

How fast is AI adoption growing for Legislators?

Adoption is moving quickly because the tools are cheap or free, and they save time on tedious research and drafting. NCSL reports [1] 38 AI usage policies now exist across 26 state legislatures, showing institutions are formalizing use. But adoption will stay bounded by trust and law.

Brookings' 2026 analysis [5] shows lawmakers themselves are actively passing AI rules, and state legislators told the Council on Criminal Justice [6] they're proceeding cautiously because voters expect accountable, human representation. The skills that matter most — judgment, empathy, coalition-building — remain very much yours to grow.

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Will AI replace Legislators?

Will AI replace Legislators?

No. We don't think AI will replace Legislators, though we do expect the job to change.

Legislators earn a 58.4% AI Resilience Score, landing them in "Mostly Resilient" territory. The core work, listening to constituents, negotiating deals, casting votes, and showing up, is still deeply human. O*NET rates that kind of work as only about 2% automatable. What is shifting is the support layer around it.

AI is already inside legislative offices. More than half of legislative staff are using generative tools for research, drafting, and transcription [1], and that number has more than doubled since 2024. But the tools are not seamless. The House Office of Legislative Counsel is dealing with AI-drafted bills full of wrong citations and mislabeled terms, and fixing them takes longer than writing from scratch [3]. Augmentation, yes. Replacement, not close.

The bigger picture holds up well. Lawmakers themselves are writing the rules that govern AI [5], and state legislators say voters expect accountable, human representation [6]. The judgment, empathy, and coalition-building that define this job are skills you can build and own. AI will handle more of the paperwork. The actual governing stays with people.

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Latest AI news for Legislators

These articles highlight the growing importance of AI regulation for aspiring legislators. For instance, a bipartisan group of lawmakers is urging fast action on AI oversight, emphasizing the need for collaborative policy-making. Similarly, Michigan lawmakers are addressing AI risks, showcasing how legislators can shape the future of technology. By staying informed about these developments, students can position themselves to advocate for effective regulations that promote AI resilience, ensuring that they play a crucial role in safeguarding their communities as technology evolves.

More Career Info

Career: Legislators

They create and vote on laws to help solve community problems and improve the lives of people in their area.

Parent Careers

Minor Group:Top Executives
Broad Group:Legislators

Employment & Wage Data

* Data estimated from parent occupation

Median Wage

$108,510

Jobs (2025)

3,904,100

Growth (2025-35)

+4.9%

Annual Openings

305,100

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

98% Resilience

Vote on motions, amendments, and decisions on whether or not to report a bill out from committee to the assembly floor.

2

98% Resilience

Attend receptions, dinners, and conferences to meet people, exchange views and information, and develop working relationships.

3

98% Resilience

Represent their government at local, national, and international meetings and conferences.

4

97% Resilience

Appoint nominees to leadership posts, or approve such appointments.

5

97% Resilience

Debate the merits of proposals and bill amendments during floor sessions, following the appropriate rules of procedure.

6

97% Resilience

Make decisions that balance the perspectives of private citizens, public officials, and party leaders.

7

97% Resilience

Negotiate with colleagues or members of other political parties in order to reconcile differing interests, and to create policies and agreements.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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