Investment Fund Managers
Employment data isn't available specifically for this occupation from the Bureau of Labor Statistics, so we are using the data from Financial Managers.
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Automation risk
High Risk (61-80%): Jobs in this category face a significant threat from automation, as many of their tasks can be easily automated using current or near-future technologies.
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. However, the automation risk level we have generated suggests a much higher chance of automation: 62% chance of automation.
What do you think the risk of automation is?
What is the likelihood that Investment Fund Managers 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 'Financial Managers' job openings is expected to rise 16.8% by 2032
Total employment, and estimated job openings
Updated projections are due 09-2023.
Wages
In 2023, the median annual wage for 'Financial Managers' was $156,100, or $75 per hour
'Financial Managers' were paid 224.8% higher than the national median wage, which stood at $48,060
Wages over time
Volume
As of 2023 there were 787,340 people employed as 'Financial Managers' within the United States.
This represents around 0.5% of the employed workforce across the country
Put another way, around 1 in 192 people are employed as 'Financial Managers'.
Job description
Plan, direct, or coordinate investment strategy or operations for a large pool of liquid assets supplied by institutional investors or individual investors.
SOC Code: 11-3031.03
Comments
Medium & Long term investment horizons = more volatility and uncertainty, market becomes non-optimal; hard to model.
AI could be used to optimize & speed up workflows for PMs.
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