Automation Risk
Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.
| SUMMARY |
59%
Moderate Risk
|
33%
Low Risk
|
50%
Moderate Risk
|
48%
Moderate Risk
|
52%
Moderate Risk
|
| JOB SCORE | 3.2/10 | 4.1/10 | 4.1/10 | 3.0/10 | 3.2/10 |
| POLLING |
There hasn't been enough votes on this occupation yet
|
43%
(Moderate Risk,
Based on 15 votes)
|
62%
(High Risk,
Based on 303 votes)
|
72%
(High Risk,
Based on 220 votes)
|
69%
(High Risk,
Based on 28 votes)
|
|
GROWTH
by year 2034
|
-2.3%
|
3.3%
|
1.7%
|
-4.4%
|
1.0%
|
| WAGES |
$48,950
or $23.53 per hour
|
$50,480
or $24.27 per hour
|
$74,180
or $35.66 per hour
|
$80,970
or $38.92 per hour
|
$51,500
or $24.76 per hour
|
|
VOLUME
as of 2024
|
173,100
|
28,110
|
290,530
|
67,370
|
156,260
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Interview loan applicants to elicit information; investigate applicants' backgrounds and verify references; prepare loan request papers; and forward findings, reports, and documents to appraisal department. Review loan papers to ensure completeness, and complete transactions between loan establishment, borrowers, and sellers upon approval of loan. | Advise and educate individuals or organizations on acquiring and managing debt. May provide guidance in determining the best type of loan and explain loan requirements or restrictions. May help develop debt management plans or student financial aid packages. May advise on credit issues, or provide budget, mortgage, bankruptcy, or student financial aid counseling. | 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. | Analyze credit data and financial statements of individuals or firms to determine the degree of risk involved in extending credit or lending money. Prepare reports with credit information for use in decisionmaking. | Determine eligibility of persons applying to receive assistance from government programs and agency resources, such as welfare, unemployment benefits, social security, and public housing. |
Curious how automation and AI could affect your career? Our comparison tool lets you view two or more jobs side by side, helping you quickly spot differences in risk level, pay, growth, and popularity. All of this is based on a mix of academic research, user polling, and official labour data.
Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.
A quick summary of how a job performs overall — factoring in wages, growth, volume, and automation risk. It’s a handy way to see the bigger picture at a glance.
Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.
See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.
Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.
Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.
Use this comparison page to research careers, guide students, or simply explore the future of work. All data is regularly updated to keep the results relevant.