Automation Risk
Each occupation shows an average probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.
| RÉSUMÉ |
Risque Modéré
60%
(Moyenne des calculs et des votes)
|
| SCORE DE TRAVAIL | 4,6/10 |
| CALCULÉ |
60%
(Risque Modéré)
|
| SONDAGE |
60%
(Haut Risque,
Basé sur 57 votes)
|
|
CROISSANCE
par l'année 2033
|
6,3%
|
| SALAIRES |
76 210 $
ou 36,64 $ par heure
|
|
VOLUME
à partir du 2023
|
12 330
|
| FLOCON DE NEIGE |
|
| DESCRIPTION | Effectuer des recherches, des études et préparer des cartes et autres données spatiales sous forme numérique ou graphique à des fins légales, sociales, politiques, éducatives et de conception. Peut travailler avec des systèmes d'information géographique (SIG). Peut concevoir et évaluer des algorithmes, des structures de données et des interfaces utilisateur pour les systèmes de SIG et de cartographie. Peut collecter, analyser et interpréter des informations géographiques fournies par des levés géodésiques, des photographies aériennes et des données satellites. |
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 an average 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.