Takeover Tracker
42%medium risk

Credit Analysts

Analyze credit data and financial statements of individuals or firms to determine the degree of risk involved in extending credit or lending money. Prepare reports with credit information for use in decision making.

Higher risk than 86% of occupations
Checking for existing plan...

How AI Impacts Each Task

11 tasks analyzed

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

Risk: 49.6%AI: 56.38ObservedTime: 20%

Generate financial ratios, using computer programs, to evaluate customers' financial status.

Risk: 88.0%AI: 97EstimatedTime: 10%

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

Risk: 25.0%AI: 25EstimatedTime: 8%

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

Risk: 86.0%AI: 92EstimatedTime: 10%

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

Risk: 86.0%AI: 92EstimatedTime: 10%

Compare liquidity, profitability, and credit histories of establishments being evaluated with those of similar establishments in the same industries and geographic locations.

Risk: 55.0%AI: 70EstimatedTime: 12%

Review individual or commercial customer files to identify and select delinquent accounts for collection.

Risk: 73.8%AI: 61.38ObservedTime: 5%

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

Risk: 50.2%AI: 57.9ObservedTime: 10%

Evaluate customer records and recommend payment plans, based on earnings, savings data, payment history, and purchase activity.

Risk: 55.0%AI: 70EstimatedTime: 5%

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

Risk: 21.0%AI: 15EstimatedTime: 5%

Contact customers regarding delinquent accounts to collect payments.

Risk: 27.0%AI: 30EstimatedTime: 5%

Skill Impact Analysis

AI-Vulnerable Skills (6)

Reading Comprehension10%

High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Information Ordering5%

High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Mathematics10%

High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Mathematics10%

High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.

Memorization5%

Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.

Programming15%

Programming is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.

AI-Resistant Skills (11)

Adaptability/Flexibility85%

Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.

Complex Problem Solving75%

Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.

Leadership88%

Leadership is AI-resistant — strengthening this skill provides durable career protection.

Service Orientation82%

Service Orientation is AI-resistant — strengthening this skill provides durable career protection.

Persuasion80%

Persuasion is AI-resistant — strengthening this skill provides durable career protection.

Coordination70%

Coordination is AI-resistant — strengthening this skill provides durable career protection.

Social Perceptiveness90%

Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.

Negotiation85%

Negotiation is AI-resistant — strengthening this skill provides durable career protection.

Recommended Courses

Courses matched to Credit Analysts skill gaps, ranked by relevance to your displacement risk profile.

Get personalized recommendations. Answer a few questions about your experience and skills to get course suggestions tailored specifically to you.

Upskill to Reduce Risk

Courses addressing your most AI-vulnerable skills

Courseraintermediate

Machine Learning Specialization

by Stanford / DeepLearning.AI

~10 weeks$49/mo4.9Certificate
Addresses vulnerability: Mathematics

Estimated Impact

-7.3pt risk+$4K/yr salary

AI-Augmentation Tools

Learn to work alongside AI and boost your productivity

Courserabeginner

Google UX Design Professional Certificate

by Google

~5 months$49/mo4.8Certificate
Enhances AI augmentation: Critical Thinking

Estimated Impact

-5.3pt risk+$5K/yr salary

Strengthen Your Edge

Double down on skills AI can't replicate

Courseraintermediate

Leading People and Teams Specialization

by University of Michigan

~6 weeks$49/mo4.7Certificate
Strengthens resilience: Leadership

Estimated Impact

-3.5pt risk+$4K/yr salary

We may earn a commission when you enroll through our links, at no extra cost to you. This helps fund the Takeover Tracker.

Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.

Alternate Career Paths

See all transitions

Score History

Risk score over 3 scoring runs

-7.8

overall change

Education & Training

Percentage of workers at each education and training level

Education Level

High School Diploma7%
Some College7%
Post-Secondary Certificate7%
Associate's Degree27%
Bachelor's Degree50%
Master's Degree3%

Prior Experience Needed

Work experience required to enter this job

None13%
6 months - 1 year7%
1-2 years20%
2-4 years53%
4-6 years3%
6-8 years3%

Training Provided After Hiring

How long it typically takes to learn on the job

None3%
Up to 1 month23%
1-3 months33%
3-6 months13%
6 months - 1 year13%
1-2 years7%
2-4 years3%
4-6 years3%

Related News

Recent articles about AI affecting this occupation

1 articles

Why Autonomous AI Fails at Complex Tasks Without Human Oversight

As enterprise AI transitions to autonomously executing tasks like issuing credits, it struggles with data reliability. These unreliable outcomes highlight the ongoing need for human-in-the-loop oversight to catch errors.

CX Todayyesterday

Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis