Actuaries
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Automation risk
Moderate Risk (41-60%): Occupations with a moderate risk of automation usually involve routine tasks but still require some human judgment and interaction.
More information on what this score is, and how it is calculated is available here.
User poll
Our visitors have voted they are unsure if this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 52% 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
The following graph(s) are included wherever there is a substantial amount of votes to render meaningful data. These visual representations display user poll results over time, providing a significant indication of sentiment trends.
Sentiment over time (yearly)
Growth
The number of 'Actuaries' job openings is expected to rise 20.8% by 2032
Total employment, and estimated job openings
Updated projections are due 09-2023.
Wages
In 2022, the median annual wage for 'Actuaries' was $113,990, or $54 per hour
'Actuaries' were paid 146.1% higher than the national median wage, which stood at $46,310
Wages over time
Volume
As of 2022 there were 25,010 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'.
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.
SOC Code: 15-2011.00
Resources
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Comments
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.
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.
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?
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