---
title: "Will AI Replace Loan Officers? (2026)"
description: "BLS rates loan officers' exposure to AI as very high. What that means, which parts of the work AI touches, and the 2025–2035 outlook (+1.1% projected)."
canonical: "https://nuecareer.com/careers/will-ai-replace-loan-officers"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Loan Officers? (2026)

**Short answer:** AI will reshape this job more than most, but BLS does not forecast it disappearing. The exposure is among the highest BLS measured, yet it still projects employment to grow.

The Bureau of Labor Statistics places loan officers in its very high AI exposure category, among the occupations most exposed to current AI. BLS projects employment to change by +1.1% over 2025–2035, against 3.5% for all occupations, with about 17,100 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Very high | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 20/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +1.1% | BLS EP 2025–2035 |
| Openings a year | 17,100 | BLS EP 2025–2035 |
| Median annual wage | $76,690 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low | 203 |
| Moderate | 194 |
| High | 190 |
| Very high (this job) | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Face-to-face discussions: 4.9/5 (O\*NET work context)
- Establishing and maintaining interpersonal relationships: 4.3/5 (O\*NET work activity importance)
- Dealing with the public: 4.6/5 (O\*NET work context)
- Performing for or working directly with the public: 3.6/5 (O\*NET work activity importance)

## What AI reaches first

- Processing information: 4.3/5 (O\*NET work activity importance)
- Evaluating information to determine compliance with standards: 4.5/5 (O\*NET work activity importance)
- Time spent sitting: 4.6/5 (O\*NET work context)
- Documenting/recording information: 3.8/5 (O\*NET work activity importance)

## O\*NET tasks

- Explain to customers the different types of loans and credit options that are available, as well as the terms of those services.
- Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information.
- Meet with applicants to obtain information for loan applications and to answer questions about the process.
- Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans.
- Review and update credit and loan files.
- Handle customer complaints and take appropriate action to resolve them.

## Related careers less exposed to AI than loan officers

- [Insurance Appraiser, Auto Damage](https://nuecareer.com/careers/insurance-appraiser-auto-damage): BLS exposure High, median $78,240
- [Fundraiser](https://nuecareer.com/careers/fundraiser): BLS exposure High, median $72,550; [Will AI replace fundraisers?](https://nuecareer.com/careers/will-ai-replace-fundraisers)
- [New Accounts Clerk](https://nuecareer.com/careers/new-accounts-clerk): BLS exposure High, median $47,670
- [Labor Relations Specialist](https://nuecareer.com/careers/labor-relations-specialist): BLS exposure High, median $95,420

## FAQ

**Will AI replace loan officers?**

AI will reshape this job more than most, but BLS does not forecast it disappearing. The exposure is among the highest BLS measured, yet it still projects employment to grow. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +1.1% over 2025–2035, against 3.5% for all occupations, with about 17,100 openings a year.

**How exposed are loan officers to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Loan Officers are in the very high category, alongside 198 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

**What parts of a loan officer's job can AI do?**

In O\*NET's description of the work, the parts that overlap most with what AI handles well are processing information, evaluating information to determine compliance with standards and time spent sitting. The parts that hold up best are face-to-face discussions, establishing and maintaining interpersonal relationships and dealing with the public. These come from O\*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

**Is being a loan officer a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, loan officers score 20 out of 100, higher than 11% of the occupations we score. The job pays a median of $76,690 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

**What careers similar to loan officers are less exposed to AI?**

Insurance Appraiser, Auto Damage (high exposure, $78,240 median), Fundraiser (high exposure, $72,550 median), New Accounts Clerk (high exposure, $47,670 median), Labor Relations Specialist (high exposure, $95,420 median). Each is in a lower BLS exposure category than loan officers, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/loan-officer.

---

This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology