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 |
51%
Moderate Risk
|
26%
Low Risk
|
31%
Low Risk
|
42%
Moderate Risk
|
34%
Low Risk
|
36%
Low Risk
|
| JOB SCORE | 3.0/10 | 4.5/10 | 5.4/10 | 6.3/10 | 4.8/10 | 4.2/10 |
| POLLING |
54%
(Moderate Risk,
Based on 40 votes)
|
43%
(Moderate Risk,
Based on 52 votes)
|
26%
(Low Risk,
Based on 51 votes)
|
32%
(Low Risk,
Based on 36 votes)
|
38%
(Low Risk,
Based on 142 votes)
|
55%
(Moderate Risk,
Based on 125 votes)
|
|
GROWTH
by year 2034
|
-0.9%
|
1.1%
|
-0.8%
|
12.9%
|
0.6%
|
1.8%
|
| WAGES |
$46,860
or $22.53 per hour
|
$70,760
or $34.02 per hour
|
$71,300
or $34.28 per hour
|
$62,630
or $30.11 per hour
|
$77,180
or $37.10 per hour
|
$73,340
or $35.26 per hour
|
|
VOLUME
as of 2024
|
73,010
|
14,680
|
59,990
|
60,830
|
92,710
|
146,450
|
| SNOWFLAKE |
|
|
|
|
|
|
| DESCRIPTION | Repair, maintain, or install computers, word processing systems, automated teller machines, and electronic office machines, such as duplicating and fax machines. | Build, install, test, or maintain robotic equipment or related automated production systems. | Repair, test, adjust, or install electronic equipment, such as industrial controls, transmitters, and antennas. | Test, adjust, or repair biomedical or electromedical equipment. | Apply electrical and electronic theory and related knowledge, usually under the direction of engineering staff, to design, build, repair, adjust, and modify electrical components, circuitry, controls, and machinery for subsequent evaluation and use by engineering staff in making engineering design decisions. | Analyze, test, troubleshoot, and evaluate existing network systems, such as local area networks (LAN), wide area networks (WAN), cloud networks, servers, and other data communications networks. Perform network maintenance to ensure networks operate correctly with minimal interruption. |
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.