Table of Contents
Loan Officers
The 54% risk score reflects the overall automation risk of your profession on a scale of 0–100. The higher the score, the more likely parts of your role could be handled by AI, increasing efficiency, but also raising the possibility of job disruption. Nearly all jobs include tasks that are automatable to some degree.
In this role, you 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, loan underwriters, and payday loan officers. Your job is considered Mid Risk for AI automation.
Below is your job's AI vulnerability profile with salary trends and employment data, plus detailed breakdowns of tasks, knowledge areas, skills, and abilities. Each item includes AI risk scores and importance ratings to help you prioritize what to focus on. Remember, look for tasks that you can automate in your job to make you more productive, while focus on developing the areas that AI cannot easily automate. Plus, explore the technology section to see what tools and software you'll likely encounter in this role and therefore can look for AI alternatives.
You're already ahead of the curve by checking your risk and exploring your options. This project goes beyond one role, we’re building a global job warning system to help everyone stay ahead of AI. By supporting our research, you’ll unlock your full job profile, including detailed risk breakdowns, trend alerts, and priority access to new research. Supporting our research not only gives you deeper insights into your own role, it helps us keep this project alive for millions of others navigating the future of work, but don't worry, if you are not ready to support us, we provide enough free insights to get you started.
In the meantime explore the sections below, and don't miss the What to do next? section for practical steps you can start today.
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Salary Trends
Historical salary data for Loan Officers
Higher salaries make roles attractive targets for automation due to greater cost savings potential. However, high-paying jobs often involve complex decision-making, creativity, and interpersonal skills that are more difficult to automate.
*Based on US labor data
Employment Trends
Historical employment levels for Loan Officers
Declining employment may indicate outsourcing to AI or overseas, automation impact, industry changes, or evolving job requirements. Consider upskilling or transitioning to related roles with growing demand.
*Based on US labor data
On the job, you would
On-the-job activities and responsibilities that define your role. Each task is analyzed for automation potential and contributes to your overall AI risk assessment.
Approving loans involves standardization that AI can assist with, but human oversight is needed for complex decision-making.
Meeting with applicants involves gathering nuanced information and building rapport, which is challenging for AI to replicate.
Analyzing financial status involves data analysis that AI can assist with, but human judgment is needed for comprehensive assessments.
Explaining loan options involves interpreting complex financial data for clients, which AI can assist with but not fully automate.
Obtaining and compiling financial records is a task that can be largely automated with AI systems designed for data management.
Reviewing and updating credit and loan files is largely data-driven and can be automated by AI systems that maintain data in information systems or databases.
Verifying the accuracy of financial information in loan agreements can be automated with AI, though human oversight is still needed for policy interpretation.
Computing payment schedules is a straightforward, rule-based task that AI can automate effectively.
Staying abreast of new financial products requires human judgment and adaptability, which are less automatable by AI.
Knowledge
Theoretical knowledge and understanding required for your position. Knowledge areas are evaluated for AI replacement likelihood and factor into your risk score.
Skills
Practical abilities and competencies you need to perform your job effectively. Skills are assessed for automation vulnerability and help determine your AI risk level.
Abilities
Innate and learned capabilities that enable you to succeed in your role. Abilities are analyzed for AI replication potential and contribute to your overall risk assessment.
Technology Used
Tools, software, and technological systems you use in your work.
Expert Insights
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What to do next?
Your job faces a moderate automation threat. A few timely moves can put you back in the safe zone. Choose your strategy below:
Recommended for Mid Risk:
- • Upskill: Develop skills that complement AI rather than compete with it
- • Use AI: Master AI tools to increase your efficiency and value
- • Pivot Smart: Consider transitioning to roles that require human judgment and creativity
- • Stay Alert: Get notified of industry changes that could affect your role
Each tab contains curated resources designed to help you take the next step. More resources will be added over time.
Top Learning Platforms

Coursera
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LinkedIn Learning
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ADPList
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Skillshare
Hands-on creative workshops to build your portfolio.

Udemy
Affordable deep dives on tech, leadership & more.
Top Learning Platforms

Coursera
Unlimited access to 2,000+ courses from top universities.

LinkedIn Learning
Short, practical videos for on-the-job upskilling.

ADPList
Free global mentorship from experienced professionals in design, product, and tech.

Skillshare
Hands-on creative workshops to build your portfolio.

Udemy
Affordable deep dives on tech, leadership & more.
Frequently Asked Questions
Based on our analysis, a this role has a 54% AI risk score, which is considered mid risk. While some tasks in this role may be automated, the profession as a whole is moderately vulnerable from complete replacement. The key is understanding which specific aspects of your job are most vulnerable, some of which are shown on this page.
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