Actuaries

Trending
Low Risk
Low High

Alternative careers

Related career paths that build on similar skills and experience

Mathematicians
19% automation risk | Minimal Risk
2.1 pts lower View career
Why it fits

Uses advanced mathematics, modeling, proofs, and analytical problem solving with domain shift.

Operations Research Analysts
25% automation risk | Low Risk
More jobs
View career
Why it fits

Transfers optimization, simulation, forecasting, and quantitative decision-support skills to operations problems.

Financial Examiners
25% automation risk | Low Risk
More jobs
View career
Why it fits

Uses insurance and financial records, reserves, controls, documentation, and regulatory review knowledge.

Statisticians
22% automation risk | Low Risk
View career
Why it fits

Applies statistical modeling, sampling, uncertainty, validation, and interpretation skills outside insurance.

Compare this job with others
or search for another job
Share your results with friends and family.

Occupation snapshot

What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
6.4/10
What's this?
Job Score (higher is better):

We rate jobs using four factors. These are:

- Chance of being automated
- Job growth
- Wages
- Volume of available positions

These are some key things to think about when job hunting.

Risk & user votes

Calculated automation risk

21% (Low Risk)

Low Risk (21-40%): This occupation has a lower risk of full replacement by AI, software, or robotic systems. Some tasks may be automated or assisted, but the role usually still relies on human judgement, communication, responsibility, physical adaptability, or practical decision-making.

More information on what this score is, and how it is calculated is available here.

Human strengths important in this job

These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.

Decision-making and problem solving

Very important
Why this matters
Analyze information, weigh tradeoffs, and choose the best solution—especially when situations are ambiguous, high-stakes, or have real-world consequences.
Jobs that also use this strength

Thinking creatively

Quite important
Why this matters
Coming up with original ideas and designs—creating new concepts, products, systems, or artistic work. This kind of open-ended invention and taste-based judgment is harder to automate end-to-end than routine, rule-based tasks.
Jobs that also use this strength

Social perceptiveness

Quite important
Why this matters
Noticing others’ emotions and reactions in the moment and adjusting what you say or do based on why they’re responding that way.
Jobs that also use this strength

Coaching and developing others

Quite important
Why this matters
Helps people learn and improve through coaching, mentoring, and feedback. This relies on trust, motivation, and adapting guidance to each person—work that’s hard to replace end-to-end with automation.
Jobs that also use this strength

Communicating with people outside the organization

Quite important
Why this matters
Represents the organization to customers, the public, or government—handling questions, concerns, and relationship-building through conversations, writing, calls, or email.
Jobs that also use this strength
Show 3 more strengths

Consulting and advising others

Quite important
Why this matters
Provide guidance and expert advice to managers or teams on technical, system, or process decisions—explaining options, tradeoffs, and recommended actions.
Jobs that also use this strength

Active learning

Quite important
Why this matters
Keeps learning from new information and applying it to make better decisions now and in the future, especially when situations change.
Jobs that also use this strength

Operations analysis

Quite important
Why this matters
Figure out what people need and what a product must do, then translate those requirements into a workable design.
Jobs that also use this strength

What users think

Based on 909 votes

43% chance of full automation within the next two decades

Our visitors have voted they are unsure if this occupation will be automated. However, employees may be able to find reassurance in the automated risk level we have generated, which shows 21% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Actuaries will be replaced by robots or artificial intelligence within the next 20 years?

Sentiment

Based on user votes over time

View sentiment trend

How opinions have changed over time

Pay & outlook

Wages

Very high paid relative to other professions

In 2024, the median annual wage for Actuaries was $125,770 ($60 per hour).

The median annual wage for Actuaries was 154.1% higher than the national median annual wage, which stood at $49,500.

View wage trend

Wages over time

* Data from the Bureau of Labor Statistics

Growth

Very fast growth relative to other professions

The number of 'Actuaries' job openings is expected to rise 21.8% by 2034

View employment trend

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Volume

Lower range of job opportunities compared to other professions

As of 2024 there were 28,340 people employed as 'Actuaries' within the United States.

This represents around < 0.001% of the employed workforce across the country

Put another way, around 1 in 5 thousand people are employed as 'Actuaries'.

People also viewed

Computer Programmers Accountants and Auditors Lawyers Financial and Investment Analysts Web Developers

What people are saying (22)

Leave a comment
Rob the Robot
20 Dec 2019 01:59
101010101010101010101010101010101010101010101010101010101010010101010101beep beep, I would not be so sure beep boop. I am coming for your job. beep beep 101010101000110001110001001001-100101001001001010101010
JohnQ (No chance)
31 Mar 2023 20:53
GPT 4 has failed all of the actuarial exams by a large margin.
nax1m (Low)
27 Feb 2026 04:16
needs analysis and decision maing skills
U (Low)
11 Jan 2025 19:13
There is a person touch to it that doesn't allow robots to take over, and actuaries are likely to use AI, but not be replaced by it
Jim C.
01 Oct 2025 04:47
Not going away totally, but requirements might rise. Since standards are already very high and a full career path requires a ton of hard tests (waste many years of your free time studying), the number employed is not going to grow substantially. This is a tough career path that isn't worth the effort. Also, outsourcing and H1-B visas are a threat although salaries will likely rise overall.
Zachary Fisher (No chance)
19 Apr 2025 00:52
too many complex of assumptions and variables to consider on a daily basis.
Frank Chang (Low)
19 May 2024 05:06
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
Vittorio (Low)
09 Jun 2023 09:40
It is based on expert judgement and a holistic comprehension of technical, but also massive qualitative and strategic choices
Matthew (Low)
09 Aug 2025 04:59
Many actuaries could be replaced by AI. However, some assess far trickier risks that could not be easily shoehorned into existing patterns.
zacattack
19 Apr 2025 00:55
seems more like the growth is outpacing any automation.
Alex (No chance)
23 May 2024 23:02
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.
human (No chance)
28 Oct 2020 06:00
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.
Nearly obsolete human (Highly likely)
02 Jun 2023 21:06
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.
Harsha Rajendran (Highly likely)
27 Jan 2023 12:40
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.
Bernard Everstein (Highly likely)
20 Oct 2020 20:53
Its literally a job focussed around data analysis... that's what computers are for
momo
16 Sep 2021 17:05
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?
Kakkask
29 Sep 2022 12:29
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.
sarina tang
02 May 2020 12:31
Its analysing statistical data which AI's can already do
Mario
23 Nov 2020 05:06
There's a lot of common sense behind it that you need someone there for
Phil
07 May 2023 13:18
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.
Anonymous (Highly likely)
28 Sep 2021 22:33
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
;P (Highly likely)
06 Apr 2023 15:27
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
Leave a reply about this occupation
0/8000

Job description

Analyze statistical data, such as mortality, accident, sickness, disability, and retirement rates and construct probability tables to forecast risk and liability for payment of future benefits. May ascertain insurance rates required and cash reserves necessary to ensure payment of future benefits.

O*NET-SOC code: 15-2011.00