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 |
52%
Moderate Risk
|
23%
Low Risk
|
25%
Low Risk
|
39%
Low Risk
|
39%
Low Risk
|
| JOB SCORE | 2.7/10 | 5.3/10 | 5.9/10 | 5.5/10 | 5.2/10 |
| POLLING |
60%
(High Risk,
Based on 61 votes)
|
54%
(Moderate Risk,
Based on 45 votes)
|
53%
(Moderate Risk,
Based on 39 votes)
|
45%
(Moderate Risk,
Based on 105 votes)
|
66%
(High Risk,
Based on 7,029 votes)
|
|
GROWTH
by year 2034
|
-1.8%
|
3.1%
|
18.5%
|
3.0%
|
4.6%
|
| WAGES |
$59,740
or $28.72 per hour
|
$80,190
or $38.55 per hour
|
$90,400
or $43.46 per hour
|
$78,420
or $37.70 per hour
|
$81,680
or $39.27 per hour
|
|
VOLUME
as of 2024
|
53,530
|
127,450
|
62,830
|
397,770
|
1,448,290
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Determine tax liability or collect taxes from individuals or business firms according to prescribed laws and regulations. | Obtain evidence, take statements, produce reports, and testify to findings regarding resolution of fraud allegations. May coordinate fraud detection and prevention activities. | Enforce or ensure compliance with laws and regulations governing financial and securities institutions and financial and real estate transactions. May examine, verify, or authenticate records. | Examine, evaluate, and investigate eligibility for or conformity with laws and regulations governing contract compliance of licenses and permits, and perform other compliance and enforcement inspection and analysis activities not classified elsewhere. | Examine, analyze, and interpret accounting records to prepare financial statements, give advice, or audit and evaluate statements prepared by others. Install or advise on systems of recording costs or other financial and budgetary data. |
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.