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 |
58%
Moderate Risk
|
30%
Low Risk
|
23%
Low Risk
|
29%
Low Risk
|
21%
Low Risk
|
| JOB SCORE | 4.2/10 | 5.6/10 | 6.0/10 | 5.4/10 | 5.1/10 |
| POLLING |
66%
(High Risk,
Based on 295 votes)
|
46%
(Moderate Risk,
Based on 110 votes)
|
50%
(Moderate Risk,
Based on 32 votes)
|
There hasn't been enough votes on this occupation yet
|
50%
(Moderate Risk,
Based on 27 votes)
|
|
GROWTH
by year 2034
|
6.4%
|
12.5%
|
3.7%
|
5.2%
|
3.0%
|
| WAGES |
$43,460
or $20.89 per hour
|
$44,200
or $21.25 per hour
|
$161,180
or $77.48 per hour
|
$48,790
or $23.45 per hour
|
$78,420
or $37.70 per hour
|
|
VOLUME
as of 2024
|
487,920
|
793,460
|
100,870
|
174,060
|
397,770
|
| SNOWFLAKE |
|
|
|
|
|
| DESCRIPTION | Prepare medications under the direction of a pharmacist. May measure, mix, count out, label, and record amounts and dosages of medications according to prescription orders. | Perform administrative and certain clinical duties under the direction of a physician. Administrative duties may include scheduling appointments, maintaining medical records, billing, and coding information for insurance purposes. Clinical duties may include taking and recording vital signs and medical histories, preparing patients for examination, drawing blood, and administering medications as directed by physician. | Plan, direct, or coordinate clinical research projects. Direct the activities of workers engaged in clinical research projects to ensure compliance with protocols and overall clinical objectives. May evaluate and analyze clinical data. | Assist patients in obtaining services, understanding policies and making health care decisions. | Coordinate and document internal regulatory processes, such as internal audits, inspections, license renewals, or registrations. May compile and prepare materials for submission to regulatory agencies. |
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.