Chief executives
SOC Code: 11-1011
Chief executives carries a 43% AI exposure score (High automation risk), with a median annual wage of $206,420 and +4.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 309,400 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 43% AI exposure, Chief executives sits 6 points above the 37.2% average across 832 U.S. occupations - more exposed than 76% of them. Most of its core tasks still require human judgment.
Career outlook score
66/100
Chief executives, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage A+ $206,420
Annual median wage, percentile rank vs all tracked occupations
- Projected growth B +4.3%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) F 43% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Chief executives in the High band.
Credential × growth standing
Bachelor's band with mid-pack BLS pace
Chief executives shares the Bachelor's gate with 178 peer occupations and lands in Average (378 of 832). Neither the rarest nor the most crowded growth shelf - use wage and AI desks on this page for the differentiator.
Where Chief executives sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Chief executives sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
43% Higher than most higher than 76% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Chief executives vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Chief executives is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Chief executives's High automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 11-1011) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Chief executives be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Chief executives. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Direct or coordinate an organization's financial or budget activities to fund operations, maximize investments, or increase efficiency.
- 2. Monitor and evaluate effectiveness of sustainability programs.
- 3. Develop or execute strategies to address issues such as energy use, resource conservation, recycling, pollution reduction, waste elimination, transportation, education, and building design.
- 4. Develop, or oversee the development of, sustainability evaluation or monitoring systems.
- 5. Confer with board members, organization officials, or staff members to discuss issues, coordinate activities, or resolve problems.
- 6. Prepare budgets for approval, including those for funding or implementation of programs.
- 7. Direct, plan, or implement policies, objectives, or activities of organizations or businesses to ensure continuing operations, to maximize returns on investments, or to increase productivity.
- 8. Supervise employees or volunteers working on sustainability projects.
- 9. Prepare or present reports concerning activities, expenses, budgets, government statutes or rulings, or other items affecting businesses or program services.
- 10. Implement corrective action plans to solve organizational or departmental problems.
Key Skills Required
- Writing
- Critical Thinking
- Reading Comprehension
- Active Listening
- Speaking
- Complex Problem Solving
- Social Perceptiveness
- Persuasion
- Judgment and Decision Making
- Systems Analysis
Knowledge Areas
- English Language
- Administration and Management
- Law and Government
- Communications and Media
- Building and Construction
- Customer and Personal Service
- Education and Training
- Economics and Accounting
- Sales and Marketing
- Transportation
Frequently Asked Questions
Will AI replace Chief executives?
Chief executives has an AI exposure score of 43%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Chief executives?
According to BLS Employment Projections 2024-2034, Chief executives is projected to grow by 4.3% over the decade. Current employment stands at approximately 309,400 workers.
What skills are needed for Chief executives?
Key skills for Chief executives include Writing, Critical Thinking, Reading Comprehension, and others. Typical entry-level education is Bachelor's degree.
How much do Chief executives earn?
The median annual wage for Chief executives is $206,420, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Chief executives?
The typical entry-level education for Chief executives is Bachelor's degree. Employers generally expect 5 years or more of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Chief executives?
Chief executives roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Chief executives: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (43% here).
- Adult basic education, adult secondary education, and english as a second language instructors · AI exposure 43%
- Coin, vending, and amusement machine servicers and repairers · AI exposure 43%
- Correctional officers and jailers · AI exposure 43%
- Engineering technologists and technicians, except drafters, all other · AI exposure 43%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (+4.3% here).
- Agricultural technicians · growth +4.3%
- Bus drivers, transit and intercity · growth +4.3%
- Fundraisers · growth +4.3%
- Material moving workers, all other · growth +4.3%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 14 occupations with a comparable automation-risk profile.
What to do with this
Use Chief executives' numbers above to compare, not just read in isolation.
- Compare Chief executives side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).