Compare Occupations

SUMMARY
72%
High Risk
23%
Low Risk
48%
Moderate Risk
50%
Moderate Risk
33%
Low Risk
44%
Moderate Risk
JOB SCORE 1.8/10 5.3/10 3.0/10 4.1/10 4.1/10 3.9/10
POLLING
70%
(High Risk, Based on 71 votes)
54%
(Moderate Risk, Based on 45 votes)
72%
(High Risk, Based on 220 votes)
62%
(High Risk, Based on 303 votes)
43%
(Moderate Risk, Based on 15 votes)
59%
(Moderate Risk, Based on 132 votes)
GROWTH
by year 2034
-10.5%
3.1%
-4.4%
1.7%
3.3%
-5.1%
WAGES
$46,040
or $22.13 per hour
$80,190
or $38.55 per hour
$80,970
or $38.92 per hour
$74,180
or $35.66 per hour
$50,480
or $24.27 per hour
$76,790
or $36.92 per hour
VOLUME
as of 2024
165,020
127,450
67,370
290,530
28,110
305,020
SNOWFLAKE [?] The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes. Snowflake diagram for Bill and Account Collectors Snowflake diagram for Fraud Examiners, Investigators and Analysts Snowflake diagram for Credit Analysts Snowflake diagram for Loan Officers Snowflake diagram for Credit Counselors Snowflake diagram for Claims Adjusters, Examiners, and Investigators
DESCRIPTION Locate and notify customers of delinquent accounts by mail, telephone, or personal visit to solicit payment. Duties include receiving payment and posting amount to customer's account, preparing statements to credit department if customer fails to respond, initiating repossession proceedings or service disconnection, and keeping records of collection and status of accounts. Obtain evidence, take statements, produce reports, and testify to findings regarding resolution of fraud allegations. May coordinate fraud detection and prevention activities. 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. 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. 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. Review settled claims to determine that payments and settlements are made in accordance with company practices and procedures. Confer with legal counsel on claims requiring litigation. May also settle insurance claims.

Compare Occupations Side by Side

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.

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.

Job Score

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.

Polling Data

Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.

Growth & Wages

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.

Volume of Workers

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.

The Snowflake Diagram

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.