Mathématiciens

Risque Faible
31%

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RISQUE D'AUTOMATISATION
CALCULÉ
28%
(Risque Faible)
SONDAGE
34%
(Risque Faible, Basé sur 641 votes)
Average: 31%
DEMANDE DE TRAVAIL
CROISSANCE
3,7%
par l'année 2033
SALAIRES
116 440 $
ou 55,98 $ par heure
Volume
2 220
à partir du 2023
RÉSUMÉ
Que montre ce flocon de neige ?
Le Flocon de neige est un résumé visuel des cinq badges: Risque d'automatisation (calculé), Risque (sondé), Croissance, Salaires et Volume. Il vous donne un aperçu instantané du profil d'un métier. La couleur du Flocon de neige est liée à sa taille. Plus le métier obtient de bons scores par rapport aux autres, plus le Flocon de neige devient grand et vert.
SCORE DE TRAVAIL
6,3/10
Qu'est-ce que c'est ?
Score de l'emploi (plus c'est élevé, mieux c'est) :

Nous évaluons les emplois en utilisant quatre facteurs. Ceux-ci sont :

- Risque d'automatisation
- Croissance de l'emploi
- Salaires
- Volume de postes disponibles

Ce sont quelques points clés à prendre en compte lors de la recherche d'un emploi.

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Risque d'automatisation calculé

28% (Risque Faible)

Risque Faible (21-40%) : Les emplois à ce niveau présentent un risque limité d'automatisation, car ils nécessitent un mélange de compétences techniques et centrées sur l'humain.

Plus d'informations sur ce que représente ce score et comment il est calculé sont disponibles ici.

Certaines qualités assez importantes du travail sont difficiles à automatiser :

  • Originalité

Sondage utilisateur

34% chance de pleine automatisation au cours des deux prochaines décennies

Nos visiteurs ont voté qu'il y a peu de chances que cette profession soit automatisée. Cette évaluation est davantage soutenue par le niveau de risque d'automatisation calculé, qui estime 28% de chances d'automatisation.

Que pensez-vous du risque de l'automatisation?

Quelle est la probabilité que Mathématiciens soit remplacé par des robots ou l'intelligence artificielle dans les 20 prochaines années ?

Sentiment

Le graphique suivant est affiché là où il y a suffisamment de votes pour produire des données significatives. Il présente les résultats des sondages utilisateurs au fil du temps, offrant une indication claire des tendances de sentiment.

Sentiment au fil du temps (annuellement)

Croissance

Une croissance modérée par rapport à d'autres professions

On s'attend à ce que le nombre de postes vacants pour 'Mathematicians' augmente 3,7% d'ici 2033

Emploi total, et estimations des offres d'emploi

* Données de la Bureau of Labor Statistics pour la période entre 2023 et 2033
Les prévisions mises à jour sont attendues 09-2025.

Salaires

Très bien rémunéré par rapport à d'autres professions

En 2023, le salaire annuel médian pour 'Mathematicians' était de 116 440 $, soit 56 $ par heure.

'Mathematicians' ont été payés 142,3% de plus que le salaire médian national, qui était de 48 060 $

Salaires au fil du temps

* Données provenant du Bureau des Statistiques du Travail

Volume

Gamme d'opportunités d'emploi significativement inférieure par rapport à d'autres professions

À partir de 2023, il y avait 2 220 personnes employées en tant que 'Mathematicians' aux États-Unis.

Cela représente environ < 0,001% de la main-d'œuvre employée à travers le pays

Autrement dit, environ 1 personne sur 68 mille est employée en tant que 'Mathematicians'.

Description du poste

Effectuez des recherches en mathématiques fondamentales ou dans l'application de techniques mathématiques à la science, à la gestion et à d'autres domaines. Résolvez des problèmes dans divers domaines en utilisant des méthodes mathématiques.

SOC Code: 15-2021.00

Commentaires (25)

Laisser un commentaire
singe rapide (Modéré)
08 avr. 2025 21:25
AI is getting better by the day at solving problems it hasn't seen before. But proving mathematical theorems isn't just about formal manipulation, mathematicians rely on their senses, physical experience, intuition etc. I think AI will bypass these creative difficulties to produce interesting math eventually, but it will take a while.
FERNANDO  GARCIA CORTES (Incertain)
09 déc. 2024 16:21
I suppose it will depend on how able the IA is to reply to the process of thinking a mathematician has when he/she makes a demonstration.
1 (Faible)
28 nov. 2024 23:06
Because is hard and needs creativity but also computers can use programs
Guest
29 juil. 2024 08:08
Aaaand Google DeepMind invented AI (AlphaGeometry 2 and AlphaProof) that solves IMO on silver medal. That escalated quickly...
Kevin Gonzalez Gordillo
07 juil. 2024 02:05
Lately, I have been studying Gödel's Incompleteness theorems, and I was thinking, could an AI, or even an AGI, discover that in a consistent system of arithmetic, there are true statements that cannot be proven (incomplete system)? I mean the level of self-awareness and nuance that it would take to discover such a theorem and prove it true would be astounding since not even the best mathematicians of Gödel's times were convinced that was the case. So at this level of logic, I would really doubt an AI would take the jobs of people responsible for opening the heart of mathematics and showing the gaping hole of its fundamental flaw; for any mathematician reading this: Let's keep proving the true, the false, and the unprovable truths, and let's "embrace the unknown at the heart of any quest for truth" -(TED-Ed).
papo (Aucune chance)
14 juin 2024 01:03
Mathematics is a science that is still in discovery, AI will not be able to understand this context
skyss0fly (Modéré)
27 avr. 2024 03:59
Robots have to utilise logic in their programming using arithmetic skills and therefore use mathematics to perform tasks and as such can compute mathematical tasks quite easily
Chickenlover69 (Aucune chance)
05 juil. 2024 08:40
Being a mathematician is researching math itself, like science. It needs creativity and human intelligence. For example, I certainly don't think AI can discover or invent complex numbers such as i, i = sqrt(-1). But I think you misunderstood the job of a mathematician as you probably thought that they just solve regular math questions that we already know how to solve, no it's not. Math is part of science and will always will be. Science will never be able to be taken over by AI. Remember that.
Anonymous (Incertain)
11 déc. 2023 05:40
Logic can be programmed, so they may be able to eventually prove theorems
Europe2048 (Modéré)
15 sept. 2023 12:57
Maybe WolframAlpha is taking over?
Me (Aucune chance)
24 août 2023 06:50
Mathematical insights rely on human originality.
Anish (Très probable)
08 juil. 2023 02:47
It will simply outclass us in every field.
Probabilist
23 mai 2023 17:39
Mathematicians generally find new ideas to solve problems, they also find new questions, whereas AI is just able to copy what already exists and to adapt it to classical situations. But maybe mathematicians will be able to create themself a new AI which will be able to replace them !!
Andre (Très probable)
17 mars 2023 23:39
People saying this is unlikely are silly. The progress in the field of computer generated proofs has been faster than the progress in AI art. I don't expect any of the Millennium Prize problems to be solved by humans, and I expect them all solved by 2030.
Jason
10 juil. 2024 03:50
I find it equally silly when you say that none of the Millennium Prize problems will be solved by Humans and all of them will be solved by 2030 (I consider myself an amateur mathematician at best, but from what I understand, the Poincare conjecture has been solved, and the solver, Grigori Perelman I think he's human?) I've hanged out in some mathematics communities and from what I've seen ai has proved some competitive math questions, I guess the four color theorem requires computer assistance, and I've seen Terrence Tao say that Ai could be used to help give Ideas to mathematicians? I've tried searching up ai replacing mathematicians and i only get results of lean which from what i know really only checks if a theorem is right or not. Overall I find the statement that Ai will complete all of the Millennium problems by 2030 to be ridiculous Ai does not seem to be anywhere close to proving some of the most fundamental century old problems in essentially 6 years
Carlos (Aucune chance)
11 juin 2022 21:36
I believe that even general AI will require a lot of time to reach a level where it can be compared on a full basis to a human in regards to maths.
Saurabh Sarkar (Aucune chance)
06 nov. 2021 12:11
AI was created from Math. Its development is dependent on the development of new Math. It will be next to impossible for AI to develop new functional math.
James (Incertain)
28 mai 2021 08:49
Because, AI and supercomputer can overtake the common knowledge
Jo
21 avr. 2021 10:09
If you've ever done college level math and the number of ways you've been told to "Do it by inspection" and the unconventional method that every solution takes, Math is very unlikely to become automated.
AK (Aucune chance)
29 mars 2021 13:18
Mathematics can go so far, there are literally so infinite possibilities. That may sound extreme but there are so many number systems out there that mathematicians are uncovering everyday as a team and they still can not find all of them. A computer may be faster but since there are so many possibilities both mathematicians and computers must work TOGETHER.
Alex (Faible)
15 déc. 2020 14:32
Mathematics requires quite a bit of creativity, which AI is not capable of.
Faisal Ali Al-Zharani
20 avr. 2020 16:46
Mathematicians being replaced by AI technology is not a bad idea. But this still upsets some people. Like me yes I'm a little upset but I don't I'll be thinking about creating jobs for mathematicians that hasn't bee in the (mathematics society) something like a direct career path for full time mathematicians. If is that secondary school teaching alright but not other job opportunities provided for mathematicians. I'm still thinking about the medicine field & how are experts in the field medicine are going to be replaced by artificial intelligence (AI) & also occupations like engineers or scientists.
Mon
23 août 2022 20:37
Which career is most persistent to be replaced by AI according to you?

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