Will AI replace Credit Analysts?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

62/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Credit Analysts?

Not entirely. Today's AI tools can take on about 62% of the typical work in this occupation, mostly: complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval. The parts that stay human include: Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money.; Prepare reports that include the degree of risk involved in extending credit or lending money.; Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Complete loan applications, including credit analyses and summaries of loan requests, and submit to loan committees for approval. 72%

Generate financial ratios, using computer programs, to evaluate customers' financial status. 72%

Prepare reports that include the degree of risk involved in extending credit or lending money. 68%

Compare liquidity, profitability, and credit histories of establishments being evaluated with those of similar establishments in the same industries and geographic locations. 62%

Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money.AI already used 60%

Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans. 55%

+ 5 more tasks (16% of the week) in the full test.

Your human edge

Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money.
Prepare reports that include the degree of risk involved in extending credit or lending money.
Analyze financial data, such as income growth, quality of management, and market share to determine expected profitability of loans.

AI tools to try

Excel / Sheets with Copilot or GeminiChatGPT / Claude for analysis and draftingAI document extraction (invoices, contracts, forms)

Related roles

A 3-phase AI learning plan

Phase 1

Automate the routine

AI for data entry, extraction and reconciliation.
Formulas, pivot tables and checks written with AI.
Standard emails and documents from templates.

Project

Use AI to extract balance sheet and income statement lines from 10 anonymized borrower financials into a ratio spreadsheet, and time it against your manual process.

Phase 2

Analysis and advice

Forecasts and variance analysis with AI, checked against the source.
Plain-language summaries of numbers for managers or clients.
Research rules and regulations with AI, then verify in the original.

Project

Build an AI-assisted 3-year cash flow forecast and covenant variance analysis for one public company, then write a one-page plain-language risk summary for a loan committee.

Phase 3

Process owner

Map and automate a full process with no-code tools (Make, Zapier, Power Automate).
Data quality, controls and audit trails for AI-assisted work.
Turn saved time into higher-value advisory work.

Project

Map and automate your credit memo workflow end-to-end with a no-code tool, adding source-check and audit-trail steps, and report hours freed per application.

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