Solid • Senior-Level

Loan Officer.

Evaluate, authorize, or recommend approval of commercial, real estate, or credit loans. Advise borrowers on financial status and payment methods. Includes mortgage loan officers and agents, collection analysts, loan servicing officers, and loan underwriters.

Salary$74,180per year
Openings20,300per year
Growth+2%10 year

Example job titles

Branch ManagerBusiness Banking OfficerCommercial BankerCommercial Loan OfficerCorporate Banking OfficerLoan OfficerMortgage Loan OfficerMortgage Loan OriginatorPortfolio ManagerRelationship ManagerRelationship Banker

Why This Rating.

[01]

This role is solid

Loan officers build trusted relationships with borrowers, guiding them through complex financial decisions where human reassurance and accountability genuinely matter-especially for large purchases like homes. They carry regulatory responsibilities and must exercise judgment on borderline cases that automated systems flag but can't resolve. AI will likely handle much of the routine underwriting and paperwork, freeing loan officers to focus on client advising and complex deal structuring, though simpler loan products may increasingly bypass them entirely.

Risks & Opportunities.

[02]
[01] Risks
38%

of mortgage lenders now use AI in origination, up from 15% in 2023[1]

Automated underwriting systems from Fannie Mae and Freddie Mac already handle the bulk of conforming loan decisions algorithmically, and a 2025 STRATMOR Group survey found 38% of lenders now use some form of AI or machine learning in origination, up from 15% in 2023 [STRATMOR Group, Nov 2025]. Document classification and indexing, core administrative tasks for loan officers, are being automated at 63% of AI-using lenders [STRATMOR Group, Nov 2025]. BLS projects slower-than-average employment growth for loan officers (1–2%), reflecting this headcount pressure even as total mortgage volume fluctuates [U.S. Bureau of Labor Statistics, Sep 2024].

[02] Opportunities
58%

AI efficiency gain on explaining loan options to clients[2]

Loan approval requires a licensed officer under NMLS regulation and carries fiduciary accountability, two barriers that automated systems cannot cross for final decisions. The AEI data shows that the explanation and advisory work is where AI augments rather than replaces: 58% augmentation on explaining loan options means AI helps officers communicate, not substitute for them [CPA.com / AICPA, Jun 2025]. Research on the future of financial services professionals consistently finds advisory roles anchored in client relationships more resilient than transactional ones, precisely because trust and compliance accountability cannot be delegated to automated systems [Thomson Reuters, Jun 2025].

Observed AI Impact.

[03]

AI is starting to automate these

Share of AI conversations where this task is handled solo, with little human involvement.

Maintain/update account records
Maintain and review account records, updating and recategorizing them according to status changes.
85.8% automated
Med usage

AI assists but needs guidance

Share of AI conversations where this task is handled collaboratively, with a human steering.

Identify clients' financial goals
Work with clients to identify their financial goals and to find ways of reaching those goals.
64.6% augmented
Med usage
Personal Finance Counseling
Counsel clients on personal and family financial problems, such as excessive spending or borrowing of funds.
50.3% augmented
Med usage

AI hasn't figured these out

Low or no AI usage recorded for these tasks.

Analyze loan applications
Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans.
No data
Meet with applicants
Meet with applicants to obtain information for loan applications and to answer questions about the process.
No data
Explain loan options
Explain to customers the different types of loans and credit options that are available, as well as the terms of those services.
No data
Approve/refer loans
Approve loans within specified limits, and refer loan applications outside those limits to management for approval.
No data
Review credit and loan files
Review and update credit and loan files.
No data
Gather applicant documents
Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information.
No data
Supervise loan personnel
Supervise loan personnel.
No data

Data: Anthropic Economic Index (Jun 2026) · Real-world Claude usage patterns across occupations

How to Adapt.

[04]
[01] Already in this role?

Start using AI tools built into your LOS for document processing and application review so that capacity goes to client-facing relationship work. STRATMOR data shows lenders deploying AI inside the workflow, not just adjacent to it, see measurably better throughput [STRATMOR Group, Nov 2025]. Over the next six months, build depth in purchase mortgage advising and small-business lending, these are the segments where complexity and relationship trust create the most defensible position against automated approval platforms. Renewing NMLS credits in compliance and fair lending is also worth prioritizing as AI raises regulatory scrutiny in lending.

“AI alone can't deliver outcomes. True AI needs to be in the workflow, not adjacent to it.”

Rob Chrisman, Senior Advisor, STRATMOR Group

“AI is fundamentally reshaping the accounting profession, accelerating the move toward more strategic advisory services.”

Erik Asgeirsson, President and CEO, CPA.com

[02] Thinking of entering?

Enter the field targeting purchase mortgages and small-business lending rather than refinance volume. Refi pipelines are most exposed to automated platforms because the client already knows the product. Purchase buyers are making one of the largest financial decisions of their lives and still want a human to walk them through it [U.S. Bureau of Labor Statistics, Sep 2024]. Get NMLS licensed first, then look for positions at community banks or credit unions where the loan mix is more complex and relationship-driven than at large mortgage-only shops. Thomson Reuters data shows professionals who adopt AI tools actively are twice as likely to see revenue growth, so platform fluency is worth building from day one [Thomson Reuters, Jun 2025].

“The real opportunity isn't chasing shiny AI tools from companies that just learned what the mortgage industry is. It's embedding AI into the process where it creates repeatable value.”

Rob Chrisman, Senior Advisor, STRATMOR Group

“Organizations with visible AI strategies are twice as likely to experience revenue growth compared to those with informal or ad-hoc approaches.”

2025 Future of Professionals Report, Thomson Reuters

The Career Map.

[05]

The full BLS career track, plus relevant emerging AI-native paths. Click any role to see how to transition to it.

Entry

Bookkeeper

43-3031.00

Risky

Tax Preparer

13-2082.00

Risky
Mid-Level

Accountant

13-2011.00

Solid
Senior

Loan Officer

★ This Role

Credit Analyst

13-2041.00

Exposed

Financial Advisor

13-2052.00

Strong

Financial Risk Specialist

13-2054.00

Solid

Credit Counselor

13-2071.00

Strong

Insurance Underwriter

13-2053.00

Shifting

Alternative Data Loan Officer

✦ Emerging

Lead or Specialist

Fraud Investigator

13-2099.04

Solid

Financial Examiner

13-2061.00

Shifting

Algorithmic Lending Strategist

✦ Emerging

Automated Underwriting Supervisor

✦ Emerging

Principal

Financial Manager

11-3031.00

Solid

Sources

0.Loan Officer Occupational Data- O*NET Online

  1. 1.Artificial Intelligence in Mortgage Lending- STRATMOR Group, Nov 2025
  2. 2.CPA.com Issues 2025 AI in Accounting Report- CPA.com / AICPA, Jun 2025
  3. 3.AI in Financial Services- World Economic Forum, Nov 2023
  4. 4.Jobs on the Rise 2024- LinkedIn Economic Graph, Jan 2024