财务和投资分析师
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计算自动化风险
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。
用户投票
我们的访客投票认为,这个职业很可能会被自动化。 这个评估进一步得到了通过计算得出的自动化风险等级的支持,该等级预计有77%的机会实现自动化。
你认为自动化的风险是什么?
财务和投资分析师在未来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。
随着时间的推移的情绪(季度)
随着时间(每年)的情绪变化
增长
预计"Financial and Investment Analysts"的工作空缺数量将在2033内增长9.5%
总就业人数和预计的职位空缺
更新的预测将在09-2024到期.
工资
在2023,'Financial and Investment Analysts'的年度中位数工资为$99,010,或每小时$47。
'Financial and Investment Analysts'的薪资比全国中位工资高106.0%,全国中位工资为$48,060。
随着时间推移的工资
体积
截至2023,在美国有325,220人被雇佣为'Financial and Investment Analysts'。
这代表了全国就业劳动力的大约0.21%
换句话说,大约每466人中就有1人被雇佣为“Financial and Investment Analysts”。
工作描述
进行定量分析,涉及公共或私人机构的投资计划或财务数据,包括对企业的估值。
SOC Code: 13-2051.00
资源
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评论
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Reporting activities are done by Python robots and so on.
Investment activities are being replaced by robots and AI, but we still have the issue of emotions involved. However, since companies don't usually take aggressive approaches to investments, they typically invest in fixed income.
Operational tasks are a thing of the past.
Entry-level it's pretty much just data entry, things that can easily be automated.
On higher levels, it requires decision making, data analysis, and other skills that will be out of any computer's reach for quite some time still.
Overall it's fairly safe from automation as of now. The human brain is still the single best pattern recognition system that we know of and pattern recognition is a large part of Financial Analysis.
However, the Finance Industry requires analysis in association with human bias and understanding, so the very nature of financial analysts is likely not replicable by automation or AI easily.
Unless, everything is automated. But that would mean a large majority of jobs would be gone in every industry.
The machine learning algorithms already can identify data insights and generate data visualizations based on the information.
Financial Analysts work will shift away from data flattening to asking questions about the data.
In the next decade, rather than the CFO asking questions for the lines of business to bring back information, they can text chat a bot to serve up in the information across the entire enterprise. This has implications on existing organizational hierarchies. I would expect a reduction in growth rate of this industry.
a machine can be fed information, divide it based on rules you've set for it, but it cannot make decisions or influence others because of political and socioeconomic trends.
Further more, the statement 'rules you've set for it' is an admission of your own ignorance, since it is through
development of artificial intelligence and machine learning that the likelihood of replacement through automation is even a threat to any industry.
Tldr, robots are becoming better financial analysts every single day.
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