Gini Loh System Tools

AI Automation Index

Will AI Replace Financial Risk Specialists?

Task-level automation exposure for Financial Risk Specialists: 30 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

64% weighted task index

30 of 30 tasks scored

Median Salary

$117,330 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

63,850 people hold this job — size, not growth

Projected 2025–35

+7.4% employment change

4,800 openings a year · BLS line item

Pay by state

BLS OEWS publishes 51 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$58,440 – $158,320

Highest medians

New Hampshire $158,320
Maine $141,020
Delaware $139,440
New York $136,830
North Carolina $132,040

Lowest medians

Louisiana $58,440
Puerto Rico $60,360
Arkansas $66,110
North Dakota $74,630
Kentucky $74,640

State figures come from the 13-2054 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 64%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 67%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 10%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Constituent Task Mix

30 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 73%

22 tasks

Medium exposure (≥ 35%) 27%

8 tasks

Low exposure (below 35%) 0%

0 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#21605 · Core · 60% automatable

Analyze areas of potential risk to the assets, earning capacity, or success of organizations.

decision support — Risk assessment needs organizational context and judgment

Assess risks to business operations.
#21606 · Core · 65% automatable

Analyze new legislation to determine impact on risk exposure.

information retrieval — Law-to-activity mapping; human owns compliance

Evaluate applicable laws and regulations to determine impact on organizational activities.
#21607 · Core · 60% automatable

Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.

decision support — Risk assessment needs organizational context and judgment

Assess risks to business operations.
#21608 · Core · 55% automatable

Confer with traders to identify and communicate risks associated with specific trading strategies or positions.

decision support — Financial conferral aided; judgment and trust human

Confer with others about financial matters.
#21609 · Core · 78% automatable

Consult financial literature to ensure use of the latest models or statistical techniques.

information retrieval — AI surfaces updates; human internalizes knowledge

Update professional knowledge.
#21610 · Core · 60% automatable

Contribute to development of risk management systems.

decision support — AI drafts system specs; business context human

Develop business or financial information systems.
#21611 · Core · 58% automatable

Determine potential environmental impacts of new products or processes on long-term growth and profitability.

decision support — Green-tech investment risk; human owns decisions

Analyze risks related to investments in green technology.
#21612 · Core · 62% automatable

Develop contingency plans to deal with emergencies.

text generation — Plans drafted; accountability and tailoring human

Develop contingency plans to deal with organizational emergencies.
#21613 · Core · 69% automatable

Develop or implement risk-assessment models or methodologies.

data analysis — Builds and runs models; human validates assumptions

Apply mathematical models of financial or business conditions. Develop financial analysis methods.
#21614 · Core · 60% automatable

Devise scenario analyses reflecting possible severe market events.

decision support — Risk assessment needs organizational context and judgment

Assess risks to business operations.
#21615 · Core · 60% automatable

Devise systems or processes to monitor validity of risk assessments.

decision support — AI drafts system specs; business context human

Develop business or financial information systems.
#21616 · Core · 78% automatable

Document, and ensure communication of, key risks.

data analysis — Reports and budgets drafted; human owns assumptions

Prepare financial documents, reports, or budgets.
#21617 · Core · 70% automatable

Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.

text generation — Data/product visuals generated; human selects and verifies

Create images of data, locations, or products.
#21618 · Core · 70% automatable

Evaluate and compare the relative quality of various securities in a given industry.

decision support — Valuation aided; human owns final value judgment

Determine the value of goods or services.
#21619 · Core · 58% automatable

Evaluate the risks and benefits involved in implementing green building technologies.

decision support — Green-tech investment risk; human owns decisions

Analyze risks related to investments in green technology.
#21620 · Core · 58% automatable

Evaluate the risks related to green investments, such as renewable energy company stocks.

decision support — Green-tech investment risk; human owns decisions

Analyze risks related to investments in green technology.
#21621 · Core · 72% automatable

Gather risk-related data from internal or external resources.

data analysis — Gather performance info, human validates sources

Gather organizational performance information.
#21622 · Core · 70% automatable

Identify key risks and mitigating factors of potential investments, such as asset types and values, legal and ownership structures, professional reputations, customer bases, or industry segments.

data analysis — Analyzes structured financial data with tools

Assess risks to business operations. Analyze business or financial data.
#21623 · Core · 76% automatable

Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions.

data analysis — Analyzes structured financial data with tools

Apply mathematical models of financial or business conditions. Analyze business or financial data.
#21624 · Core · 70% automatable

Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.

data analysis — Analyzes structured financial data with tools

Assess risks to business operations. Analyze business or financial data.
#21625 · Core · 85% automatable

Maintain input or data quality of risk management systems.

data analysis — Enter and maintain data in information systems

Maintain data in information systems or databases.
#21626 · Core · 50% automatable

Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations.

interpersonal — Client education needs trust and fiduciary accountability

Educate clients on financial planning topics.
#21627 · Core · 72% automatable

Monitor developments in the fields of industrial technology, business, finance, and economic theory.

data analysis — Trend analysis from data and reports

Analyze industry trends.
#21628 · Core · 55% automatable

Prepare plans of action for investment, using financial analyses.

text generation — Business plans drafted; human owns assumptions and risk

Develop financial or business plans.
#21629 · Core · 50% automatable

Produce reports or presentations that outline findings, explain risk positions, or recommend changes.

interpersonal — Business presentations are live persuasive human work

Present business-related information to audiences.
#21630 · Core · 70% automatable

Provide statistical modeling advice to other departments.

data analysis — Explains techniques well; application needs human

Advise others on analytical techniques.
#21631 · Core · 50% automatable

Recommend investments and investment timing to companies, investment firm staff, or the public.

decision support — Analysis supports recommendations; fiduciary judgment stays human

Recommend investments to clients.
#21632 · Core · 62% automatable

Recommend ways to control or reduce risk.

decision support — Drafts advice; accountability and context owned by human

Advise others on business or operational matters.
#21633 · Core · 70% automatable

Review or draft risk disclosures for offer documents.

text generation — Draft regulatory docs; human owns compliance

Prepare regulatory or compliance documentation.
#21634 · Core · 61% automatable

Track, measure, or report on aspects of market risk for traded issues.

data analysis — Business indicator dashboards are AI-monitorable with human review

Monitor business indicators. Present business-related information to audiences.
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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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