Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

47.2%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Regulatory Affairs Specialists

They ensure products like medicines and foods meet legal standards by checking rules and helping companies follow them.

This role is evolving

The career of Regulatory Affairs Specialists is labeled as "Evolving" because AI is being used to handle repetitive tasks like formatting and drafting parts of reports, which makes their work faster and more efficient. However, the core responsibilities still require human judgment, such as making important decisions and understanding complex regulations.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
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Analysis
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This role is evolving

The career of Regulatory Affairs Specialists is labeled as "Evolving" because AI is being used to handle repetitive tasks like formatting and drafting parts of reports, which makes their work faster and more efficient. However, the core responsibilities still require human judgment, such as making important decisions and understanding complex regulations.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Changing fast iconChanging fast

16.0%

16.0%

Anthropic's Economic Index

Evolving iconEvolving

61.2%

61.2%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

39.7%

39.7%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

3.0%

Growth Percentile:

50.4%

Annual Openings:

33,300

Annual Openings Pct:

76.8%

Analysis of Current AI Resilience

Reg. Affairs Specialists

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Regulatory affairs teams already use smart software to help with the paperwork. Large life-science firms are building modern submission platforms (called RIMS) that automate routine steps. These systems can auto-format tables, check data, and even draft sections of reports [1] [1].

In fact, a McKinsey study found that using generative AI cut writing time for a sample report from 180 hours to 80, with half the errors [1]. Some AI tools can even suggest answers to regulators’ routine questions and flag missing information, easing the load on specialists [1] [1].

Even so, most core work still needs a human touch. Experts note AI today mainly helps with simple or repetitive bits – junior staff and computer checks handle those dull, data-heavy parts [2] [1]. Decisions about what filings to submit for a device change, or explaining new rules to the team, still rely on experienced people.

Industry analysts emphasize that regulatory jobs involve a lot of judgment. (For example, U.S. job data says these specialists “evaluate information to determine compliance” nearly all day [3].) In short, AI can handle some busywork, but it cannot replace the critical thinking and context that human experts provide [2] [1].

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AI Adoption

AI in the real world

Regulatory teams may adopt AI faster because the payoff is big. Faster approvals can earn companies tens of millions of dollars for a new drug, so investing in AI tools has real benefits [1] [1]. There is also pressure from the labor market: experts are in high demand and often need digital skills.

One industry report notes that tech companies are competing for regulatory pros who understand data and AI [2]. In practice, about 80% of top pharma companies now use modern submission systems and are automating parts of the process [1]. This suggests many leaders see AI as a useful assistant.

Still, adoption is cautious. Overhauls of submission systems can be expensive, and life-science work is high-stakes. One analysis found that beyond basic writing and formatting, most of the review process is still done by people [1].

Regulators and companies must trust any AI output, so new tools need thorough checks. In other words, the field is moving forward with AI, but carefully. Analysts expect that in the future AI will take over the “mundane” tasks, freeing specialists to focus on strategy and safety [2] [1].

This means human skills like judgment, clear communication, and understanding complex rules will stay very important – making the role of regulatory affairs professionals secure even as AI becomes a helpful partner.

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More Career Info

Career: Regulatory Affairs Specialists

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Employment & Wage Data

Median Wage

$78,420

Jobs (2024)

418,000

Growth (2024-34)

+3.0%

Annual Openings

33,300

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

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

1

90% ResilienceCore Task

Develop or conduct employee regulatory training.

2

90% ResilienceCore Task

Prepare or direct the preparation of additional information or responses as requested by regulatory agencies.

3

85% ResilienceCore Task

Escort government inspectors during inspections and provide post-inspection follow-up information as requested.

4

85% ResilienceCore Task

Identify relevant guidance documents, international standards, or consensus standards and provide interpretive assistance.

5

85% ResilienceSupplemental

Develop or track quality metrics.

6

85% Resilience

Monitor national or international legislation on ozone-depleting substances or global warming.

7

80% ResilienceCore Task

Communicate with regulatory agencies regarding pre-submission strategies, potential regulatory pathways, compliance test requirements, or clarification and follow-up of submissions under review.

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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