Will credit analysts be replaced by AI?
Updated
Credit analysts score 62 of 100 for AI exposure. The largest share of their task time, 54%, is work AI speeds up while they stay in charge. AI can take over 34% outright, and 12% stays with people.
- 34% AI can do it
- 54% AI helps
- 12% Needs a person
High exposure
Higher than 93% of the 923 occupations we scored.
Task by task
We graded 11 tasks, listed here from most to least exposed. AI can do 4 of them today, speeds up 5 and leaves 2 to people.
| Task | AI exposure |
|---|---|
| Generate financial ratios, using computer programs, to evaluate customers' financial status. Ratio calculation is already software driven; AI fully handles it. | 80% AI can do it |
| Review individual or commercial customer files to identify and select delinquent accounts for collection. Filtering files by delinquency status is routine database work. | 80% AI can do it |
| Prepare reports that include the degree of risk involved in extending credit or lending money. AI drafts risk reports well; analyst checks conclusions and approves. | 65% AI can do it |
| Complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval. AI drafts summaries and packages; analyst verifies and submits applications. | 62% AI helps |
| Compare liquidity, profitability, and credit histories of establishments being evaluated with those of similar establishments in the same industries and geographic locations. Peer benchmarking from databases is largely automatable with AI tools. | 62% AI helps |
| Evaluate customer records and recommend payment plans, based on earnings, savings data, payment history, and purchase activity. Payment plan options follow rules; AI drafts, analyst approves exceptions. | 60% AI can do it |
| Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money. Core risk analysis; AI speeds analysis, analyst is responsible for the decision. | 55% AI helps |
| Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans. Qualitative judgments on management and market position stay with analysts. | 45% AI helps |
| Contact customers to collect payments on delinquent accounts. Outreach messages can be automated; difficult calls need human handling. | 45% AI helps |
| Consult with customers to resolve complaints and verify financial and credit transactions. Live customer conversations and complaint resolution need human judgment. | 30% Needs a person |
| Confer with credit association and other business representatives to exchange credit information. Exchanging credit information involves live calls and relationship judgment. | 20% Needs a person |
How credit analysts compare
All occupations (923)
Business and financial operations (48)
Pay and outlook in the US
- Median pay
- $83,510 a year, May 2025
- People employed
- 64,390 in the US, May 2025
- Projected change in jobs
- -4.3% from 2024 to 2034
Skills to build
- Write delinquency queries in SQL and Microsoft SQL Server
- Model loan profitability and stress cases in SAS
- Run peer benchmarking comparisons in Microsoft Excel
- Write credit memos for loan committees in Microsoft Word
- Hold live calls with credit associations and trade references
- Approve payment plan exceptions outside the standard rules
Safer roles nearby
5 related occupations with lower scores.
Questions about credit analysts and AI
Will AI replace credit analysts?
Largely. About 6 in 10 working hours go to tasks AI can already do, mostly ratio calculation and delinquency file review. What stays with people is the judgment on loan risk, the final approval of exceptions, and live calls with customers and business references.
Which tasks are AI taking over for credit analysts?
Ratio calculation and delinquency file screening go first, both at exposure 80. Software already computes ratios from statements and filters accounts by delinquency status with database queries. Drafting risk reports and payment plan options follows, at 65 and 60.
Which tasks stay with credit analysts?
Exchanges with credit associations and other business representatives stay with people, at exposure 20, because they run on live calls and relationship judgment. Resolving customer complaints, at exposure 30, is similar. Judging management quality and market share for expected loan profitability, at exposure 45, stays with the analyst, with AI speeding the data work.
How can credit analysts stay valuable?
Move your hours toward judgment work that software leaves unfinished. Take on the approval of payment plan exceptions and check each draft before it goes out. Write your delinquency queries in SQL or SAS. Build peer benchmarks in Excel and defend the conclusions to loan committees in PowerPoint.
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