概述
自动化风险
2. 用户投票
3. 增长
工资
5. 体积
描述
资源
评论

精算师

中等风险
49%
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与朋友和家人分享您的结果。
投票 评论 (16)
或者，更深入地探索这个职业...
自动化风险
计算出的
61%
(高风险)
投票
37%
(低风险)
Average: 49%
劳动力需求
增长
21.8%
到2033年
工资
$120,000
或每小时 $57.69
体积
25,470
截至 2023
摘要
工作评分
6.6/10

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计算自动化风险

61% (高风险)

高风险（61-80%）：这个类别的工作面临着来自自动化的重大威胁，因为他们的许多任务可以使用当前或近期的技术轻松自动化。

有关这个分数是什么以及如何计算的更多信息可在这里找到。

工作中的一些相当重要的品质难以自动化：

  • 社会洞察力

用户投票

在接下来的二十年内，实现全自动化的可能性为37%。

我们的访客投票表示，这个职业被自动化的可能性很低。 然而，我们生成的自动化风险等级表明自动化的可能性要高得多：有61%的机会会被自动化。

你认为自动化的风险是什么？

精算师在未来20年内被机器人或人工智能取代的可能性有多大？






情感

以下图表在有大量投票数据时会显示。这些可视化图表展示了用户投票结果随时间的变化，提供了情感趋势的重要指示。

随着时间（每年）的情绪变化

增长

相对于其他职业，非常快速的增长。

预计"Actuaries"的工作空缺数量将在2033内增长21.8%

总就业人数和预计的职位空缺

* 根据劳工统计局的数据，该数据涵盖了从2021到2031的期间。
更新的预测将在09-2024到期.

工资

相对于其他职业，薪酬非常高。

在2023，'Actuaries'的年度中位数工资为$120,000，或每小时$57。

'Actuaries'的薪资比全国中位工资高149.7%，全国中位工资为$48,060。

随着时间推移的工资

* 来自美国劳工统计局的数据

体积

与其他职业相比，就业机会的下限范围较低。

截至2023，在美国有25,470人被雇佣为'Actuaries'。

这代表了全国就业劳动力的大约< 0.001%

换句话说，大约每5 千人中就有1人被雇佣为“Actuaries”。

工作描述

分析统计数据，如死亡率、事故率、疾病率、残疾率和退休率，并构建概率表以预测未来福利支付的风险和责任。可能需要确定保险费率和确保未来福利支付所需的现金储备。

SOC Code: 15-2011.00

资源

如果您正在考虑开始新的职业生涯，或者想要换工作，我们已经为您创建了一个方便的工作搜索工具，它可能会帮助您找到那个完美的新角色。

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评论

Leave a comment

Alex (没有机会) 6 months ago
When it comes to economics, AI has an upper hand in understanding statistics and mathematics, with that said: The general economy suffers from a 100% secure stance in economy. For that reason it's extremely unlikely that AI takes the place of an actuary.
0 0 Reply
Frank Chang (低) 6 months ago
Too much of actuarial work requires judgment, including commercial pricing and reserving.
If AI will be able to determine the outcome of lawsuits, actuaries might be at greater risk
0 0 Reply
Vittorio (低) 1 year ago
It is based on expert judgement and a holistic comprehension of technical, but also massive qualitative and strategic choices
0 0 Reply
;P (极有可能) 1 year ago
I don’t think AI is going to replace this job completely but def gonna lower the average salary. Some of the actuarial jobs are getting paid absurd amount of money for rather simple work lol
0 1 Reply
JohnQ (没有机会) 1 year ago
GPT 4 has failed all of the actuarial exams by a large margin.
0 0 Reply
Harsha Rajendran (极有可能) 1 year ago
Because it mostly involves mathematical calculations and actuarial techniques, these can only be done using computers due to the vast data. Once programmed to reckon the necessary sequence of steps required, from small to complex, inclusive of advising the stakeholders with reasonable output, decisions can be easily automated.
0 0 Reply
Anon (极有可能) 3 years ago
A job that’s both repetitive and centered around statistics and numbers. Easily replaceable by robots. No need to hire a human and pay such a large salary. Cuts costs massively
0 1 Reply
human (没有机会) 4 years ago
The automation of analysis and modeling is a great and useful tool for actuaries. There will always be a need for humans to study actuarial science because we will never achieve a final, perfect model (and if we did, we could let the robots take over!). To achieve a perfect model, all relevant pieces of information regarding how every individual human being will make every future decision must be known. This is obviously impossible, so sorry robots.

Because more data is being generated and analysis tools are improving constantly, the practice of improving actuarial models will be profitable for employers of actuaries. As long as actuaries continue to study and update actuarial assumptions and modeling techniques they will have a very important and well-compensated role in the workforce.
0 0 Reply
Nearly obsolete human 1 year ago
You claim that robots will not be able to replace humans because "all relevant pieces of information regarding how every individual human being will make every future decision must be known" in order for this to happen. This does not make a lot of sense to me. Human actuaries do not have access to this information, so why would a robotic actuary need to have access to this information in order to replace humans? An AI model would not have to be perfect in order to be better than humans. For example, I suspect that chess programs do not play perfectly, but they play better than humans.

Regarding your second paragraph, I see no reason why a sufficiently advanced AI couldn't update actuarial assumptions based on new data, and it seems possible that an advanced AGI might be able to actually develop better models than humans.
0 0 Reply
Bernard Everstein (极有可能) 4 years ago
Its literally a job focussed around data analysis... that's what computers are for
0 0 Reply
Kakkask 2 years ago
You know nothing about actuarial science. They have to analyze data and predict the financial risk for the future. Ever heard of dy/dx. That's what actuary does a lot in a daily basis.
0 0 Reply
momo 3 years ago
lol I know right. People are so delusional when it comes to automation. Reminds me of the truckers saying "ai will never make the tough decisions from moment to moment"

There is no job ai cannot replace. Imagine an AI that models the human brain inside a perfect humanoid body. Why couldn't it do job x? Or are you convinced such a simulacrum could never be achieved?
0 0 Reply
sarina tang 4 years ago
Its analysing statistical data which AI's can already do
0 0 Reply
Mario 3 years ago
There's a lot of common sense behind it that you need someone there for
0 0 Reply
Phil 1 year ago
Hardly, there is certainly interpretation and communication involved in the process, and there will probably always be someone to watch over it, but it will take 10 human jobs and reduce them to 1.
0 0 Reply
Rob the Robot 4 years ago
101010101010101010101010101010101010101010101010101010101010010101010101beep beep, I would not be so sure beep boop. I am coming for your job. beep beep
101010101000110001110001001001-100101001001001010101010
1 0 Reply

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