Somewhat Resilient

Last Update: 10/7/2026

AI Resilience Score for Credit Analysts:

37.3%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

Methodology and Scoring Rationale

To score how resilient credit analysis 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 credit analysis, seven of eight sources had data, with Adaptive Capacity missing. Sources split on AI exposure: Anthropic and Microsoft rated human contribution as medium, while AI Resilience Model, Will Robots Take My Job, and OpenAI Signals all rated it low, pointing to real automation risk. Weak hiring demand kept the score down, landing credit analysts at "Somewhat Resilient."

AI Resilience Report forCredit Analysts

$83,510 median salary•3,100 annual openings•SOC Code: 13-2041.00

Credit Analysts are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Credit analysts are labeled "Somewhat Resilient" because AI is already taking over a big chunk of the number-crunching and data-gathering work that used to fill analysts' days, which means the job is genuinely changing rather than staying the same. Tools like the system DBS Bank built can handle more than 70 tasks and cut research time by at least 30 percent, so the role is shifting away from pulling together data and toward reviewing, judging, and taking responsibility for final decisions.

Learn more about how you can thrive in this position

This role is somewhat resilient

Credit analysts are labeled "Somewhat Resilient" because AI is already taking over a big chunk of the number-crunching and data-gathering work that used to fill analysts' days, which means the job is genuinely changing rather than staying the same. Tools like the system DBS Bank built can handle more than 70 tasks and cut research time by at least 30 percent, so the role is shifting away from pulling together data and toward reviewing, judging, and taking responsibility for final decisions.

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Analysis of current AI resilience

Credit Analysts

Updated quarterly

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Latest AI news for Credit Analysts

These articles highlight how AI is reshaping the role of credit analysts rather than replacing them. For instance, AI excels in routine tasks like financial statement analysis, allowing analysts to focus on more strategic decision-making. While some traditional tasks may diminish, opportunities will arise in hybrid roles that blend human insight with AI efficiency. Students should embrace this evolution, as developing skills in AI tools and understanding their applications can enhance career resilience in the finance sector.

More Career Info

Career: Credit Analysts

They assess if people or businesses can repay loans by reviewing financial information and credit history to help banks make lending decisions.

Employment & Wage Data

Median Wage

$83,510

Jobs (2025)

64,700

Growth (2025-35)

-4.3%

Annual Openings

3,100

Education

Bachelor's degree

Experience

None

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

65% ResilienceSupplemental

Confer with credit association and other business representatives to exchange credit information.

2

62% ResilienceCore Task

Consult with customers to resolve complaints and verify financial and credit transactions.

3

48% ResilienceCore Task

Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money.

4

45% ResilienceCore Task

Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans.

5

42% ResilienceCore Task

Complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval.

6

40% ResilienceSupplemental

Contact customers to collect payments on delinquent accounts.

7

35% ResilienceCore Task

Prepare reports that include the degree of risk involved in extending credit or lending money.

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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