43
/100

SOC 13-2099

Financial Specialists, All Other

ElevatedFrey/Osborne: 33.0%

Risk Score

โš ๏ธ

43/100

Elevated

US Employment

๐Ÿ‘ฅ

127,450

Total workers

Median Wage

๐Ÿ’ฐ

$80K

$46K โ€“ $152K

Projected Growth

๐Ÿ“ˆ

+3.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

81/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Financial Specialists, All Other face a risk score of 43/100 โ€” 1 points below the national average of 44. With 81/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $80K ($34K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 43/100, Financial Specialists, All Other faces moderate automation pressure. While tasks like automated financial reporting and reconciliation are increasingly handled by AI, the role retains significant human elements. The 127,450 workers in this occupation should focus on strengthening skills in navigating regulatory ambiguity and compliance judgment and stakeholder management in complex organizational settings to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Financial Specialists, All Other?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated financial reporting and reconciliation

2

Automated tax preparation and compliance tools

3

AI summarization replacing manual report compilation

4

AI-generated written content replacing manual drafting

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating regulatory ambiguity and compliance judgment

โœ“

Stakeholder management in complex organizational settings

โœ“

Crisis financial decision-making under uncertainty

โœ“

Strategic advisory requiring deep client relationship knowledge

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.

โ€ข

Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.

โ€ข

Interpret results of financial analysis procedures.

โ€ข

Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.

โ€ข

Define or recommend model specifications or data collection methods.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Data base management system software

โ€ข

Financial analysis software

โ€ข

Object or component oriented development software

โ€ข

Data mining software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Economics and Accounting

โ€ข

Law and Government

โ€ข

Computers and Electronics

๐Ÿ“Š vs National Average

Median Wage$80K
+$34K

National avg: $46K

Risk Score43/100
-1

National avg: 44/100

GenAI Exposure81/100
+43

National avg: 38/100

Projected Growth3.1%
-0.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K59%
Lawyers, Judges, and Related Workers17$144K57%
Business Operations Specialists28$80K75%