Physiciens

Risque Minimal
11%
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RISQUE D'AUTOMATISATION
CALCULÉ
0,6%
(Risque Minimal)
SONDAGE
21%
(Risque Faible)
Average: 11%
DEMANDE DE TRAVAIL
CROISSANCE
4,7%
par l'année 2032
SALAIRES
155 680 $
ou 74,84 $ par heure
Volume
18 350
à partir du 2023
RÉSUMÉ
SCORE DE TRAVAIL
8,1/10

Les gens ont également vu

Risque d'automatisation calculé

0,6% (Risque Minimal)

Risque Minimal (0-20%) : Les professions dans cette catégorie ont une faible probabilité d'être automatisées, car elles exigent généralement une résolution complexe de problèmes, de la créativité, de solides compétences interpersonnelles et un haut degré de dextérité manuelle. Ces emplois impliquent souvent des mouvements de main complexes et une coordination précise, rendant difficile pour les machines de reproduire les tâches requises.

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

Certaines qualités très importantes du travail sont difficiles à automatiser :

  • Originalité

Certaines qualités assez importantes du travail sont difficiles à automatiser :

  • Perceptivité Sociale

  • Persuasion

Sondage utilisateur

21% 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 0,6% de chances d'automatisation.

Que pensez-vous du risque de l'automatisation?

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






Sentiment

Le graphique suivant est inclus chaque fois qu'il y a un nombre substantiel de votes pour rendre les données significatives. Ces représentations visuelles affichent les résultats des sondages utilisateurs au fil du temps, fournissant une indication significative des tendances de sentiment.

Sentiment au fil du temps (annuellement)

Croissance

Une croissance rapide par rapport à d'autres professions

On s'attend à ce que le nombre de postes vacants pour 'Physicists' augmente 4,7% d'ici 2032

Emploi total, et estimations des offres d'emploi

* Données de la Bureau of Labor Statistics pour la période entre 2021 et 2031
Les prévisions mises à jour sont attendues 09-2024.

Salaires

Très bien rémunéré par rapport à d'autres professions

En 2023, le salaire annuel médian pour 'Physicists' était de 155 680 $, soit 74 $ par heure.

'Physicists' ont été payés 223,9% 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 inférieure d'opportunités d'emploi par rapport à d'autres professions

À partir de 2023, il y avait 18 350 personnes employées en tant que 'Physicists' aux États-Unis.

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

Autrement dit, environ 1 personne sur 8 mille est employée en tant que 'Physicists'.

Description du poste

Effectuer des recherches sur les phénomènes physiques, développer des théories sur la base de l'observation et des expériences, et concevoir des méthodes pour appliquer les lois et les théories physiques.

SOC Code: 19-2012.00

Ressources

Si vous envisagez de commencer une nouvelle carrière ou de changer de travail, nous avons créé un outil de recherche d'emploi pratique qui pourrait vous aider à décrocher ce nouveau poste parfait.

Recherchez des emplois dans votre région locale

Commentaires

Leave a comment

Anonymous (Faible) 17 days ago
Honestly, robots only have have so much processing power, and with today’s tech, (and possibly tomorrow’s) it’s just not possible to run such complex calculations.
0 0 Reply
E (Aucune chance) 20 days ago
Physics requires complex models and creativity that artificial intelligence can not replicate without a human mind.
0 0 Reply
Oliver Cavendish 24 days ago
differentiating between experimental and theoretical physicists, i think that there is a chance that experimental physics will be replaced by automation in the near future especially as nuclear engineering also comes under this bracket and the militaries of major world powers such as America, China and India are looking to incorporate more cyber-warfare and robotics into their offensive (and defensive) technologies and there is also a high chance that as other fields like chemistry, for example, begin to get automated, experimental physics will too. but theoretical physics, on the other hand, is the purest discipline of science there is. it requires originality, innovation, creativity, fun, a genuine interest in science and physics for its own sake and the ability to make coherent theories and hypotheses based on observations and data gathered of and from natural phenomena. this, at least in the near future, is something that AI is thoroughly incapable of doing. so on the whole, no, theo.physicists' shouldn't be going anywhere; exp.physicists on the other hand..............unless, of course, elon surprises us again with a sentient AI that can actually take over everything and become the next SkyNet!
1 1 Reply
Saket (Faible) 4 months ago
I think that robots will not be able to find new things as of right now they can only use a database and find things out of there a robot doesnt have enough creativity to look out into space for example and think"Hmm why is it moving" for something htat shouldnt move it is just gonna see it and be like"cool"
1 0 Reply
Samik Yanque Amable (Aucune chance) 4 months ago
A pure science is a kind of art where your creativity must shine to observe problems and devise solutions. The truth is, it hurts to think that my future will be filled with the anxiety of "finding a problem" that is relevant to science, but it's the hell I chose.

If any junior reads this message, I can only wish you the best. While your work is irreplaceable by AI, your future will be filled with problems where AI cannot assist you. Good luck.
2 0 Reply
Alec 3 months ago
Thank you. I am 12, and this is my dream job. Seeing this message really made me excited!
2 1 Reply
9 (Aucune chance) 11 months ago
We teach AI. That's how it understands. Although it can learn, it can't accumulate pure factual knowledge by itself.
0 0 Reply
Jamie (Très probable) 1 year ago
Hard science fields will be the easiest fields for AI to take-over.
0 2 Reply
MainEditor 7 months ago
But if AI can do hard science why it wouldn't as easy do soft science?
1 0 Reply
Zuzia (Modéré) 1 year ago
AI can already teach itself new things and it escalates very quickly, it probably will be able to analyze all the knowledge we have on Earth and come to some important conclusions.
1 0 Reply
Samuel (Aucune chance) 1 year ago
It requires thinking outside the box, solving new problems, writing new programs. It has already implemented computers for calculations.
0 0 Reply
Toast (Aucune chance) 1 year ago
Being a physicist requires, at least to a certain degree, being able to come up with purely original ideas, rather than interpolating the existing body of knowledge.
2 0 Reply
Quarked_Out (Faible) 1 year ago
Hmm, a lot of areas in physics do incorporate ML techniques and AI to some degree. However, people with physics training play an undisputedly dominant role in research.

If anything, I can see some simulation aspects or redundant experimental procedures being automated in the near term. But parts that incorporate creative problem solving or the physical intuition needed in determining directions to take research are things that are pretty safeguarded to humans for a bit.

I think those "intuitions" are very difficult to map to general problem-solving algorithms.
0 0 Reply
Brian (No Chance) 1 year ago
Many other experimental physicists and I already automate every measurement we can, but there is still plenty of work to do.
1 0 Reply
David (Aucune chance) 2 years ago
I wonder what all those people were thinking when they said there was a realistic possibility that physicists will be obsolete in 20 years. That's absurd on its face and every physicist I have ever met would agree.

We can have a discussion on whether it is possible in the next 200 years, sure, but 20 years? That's laughable. Given that only physicists are qualified to write, train, and optimize the algorithms that would be used to replace them, it will take a long, long, long time.

I suspect that we would need true machine sentience before we could actually start to talk about replacing theoretical and mathematical physicists.
0 0 Reply
Bimsara Bodaragama (Aucune chance) 2 years ago
It's more about intuition and innovativeness. Of course, we will use more tools, but with Physics, since we interpret as we observe (there is a little problem with that conclusion, though), AI may not be able to take it over.
0 0 Reply
Wesley I (Aucune chance) 3 years ago
I believe that it will be possible but not for a very long time, the process of positing new questions and then solving them is rather complex and I'm guessing that it will be at least 100 years before the jobs of theoretical physicists start to become threatened.
0 0 Reply
just bored (Aucune chance) 3 years ago
Even though computers may get more intelligent than us humans, there is still a very small chance because computers don't have the basic questioning ability which we humans have
0 0 Reply
Rowan (Incertain) 3 years ago
The development of AI is rapidly improving, AI maybe 10 years in the future being able to predict or understand the universe better through random generation or pure knowledge is very probable. However I doubt they will replace Physicists in the near decade it should be very increasingly possible.
0 0 Reply
rafel 3 years ago
We are users of AI to improve some calculations and we need robots and AI for experimental precision and performance. Until the singularity, we will be in charge.
0 0 Reply
Pinaki Patra 3 years ago
A huge section of theoretical physicists do algorithm based research, which can easily be replaced by automation.
However, Philosophy based theoretical research is difficult to be replaced.
0 0 Reply
Physics Boi (Faible) 3 years ago
Doubt it, anyway we need physicists to understand what the AI is discovering anyway
0 0 Reply

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