Headline risk
21%
Moderate RiskProduct Manager
This page reuses the same role shell as Singapore, but the component occupations are mapped onto the United States layer so the score, context, and support bundle reflect US public evidence.
Why this score
79% of tasks overlap with current AI
63% human advantage from judgment & presence
64% demand buffer from the local labour market
These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.
Weighted overlap across component occupations
Human coordination and physical presence protection
Blended local-market buffer for this role
Component coverage and mapping quality
Workflow profile
Heuristic workflow context blended from the role mix. This explains the score; it is not used as a direct local-market forecast.
Workflow dimensions (0 = low, 1 = high)
United States support
Evidence bundle
Weighted task overlap from O*NET statements and Anthropic penetration
Median annual wage from BLS OEWS
Employment projections and openings from BLS
Preparation and entry requirements from O*NET and BLS
Support snapshot
Job zone
5The occupation usually needs extensive preparation, training, and experience.
Median wage
USD 79,350USD 60,880 to USD 106,270
Openings
4.4K2.3% projected change
Median age
49.21.1M employed
Occupation profile
Teach courses pertaining to mathematical concepts, statistics, and actuarial science and to the application of original and standardized mathematical techniques in solving specific problems and situations. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
Job Zone 5 · Extensive preparation
The occupation usually needs extensive preparation, training, and experience.
Task primitives
Matched task weight share: 100% · Effective coverage: 33%
Concentration: 17%
Wage context
Median annual
USD 79,350
Mean annual
USD 92,880
Hourly median: —
Employment: 48,820 workers
10th percentile: USD 48,150
90th percentile: USD 161,020
Demand outlook
2024 employment
58.9K
2034 employment
60.2K
Openings: 4.4K
Projected change: 2.3%
Education: Doctoral or professional degree
Work experience: —
On-the-job training: None
Median wage in projections: USD 79,350
Overall employment of postsecondary teachers is projected to grow 7 percent from 2024 to 2034, much faster than the average for all occupations.
Requirements and friction
Telework: <10% · Telework: >90% · Credentials: 52.3%
Narrative and skills
Postsecondary teachers instruct students in a variety of academic subjects beyond the high school level.
Most postsecondary teachers work in public and private colleges and universities, professional schools, and junior or community colleges. Most work full time, although part-time work is common.
Educational requirements vary by subject and the type of educational institution. Typically, postsecondary teachers must have a Ph.D. However, a master's degree may be enough for some postsecondary teachers at community colleges, and others may need work experience in their field of expertise.
The median annual wage for postsecondary teachers was $83,980 in May 2024.
Overall employment of postsecondary teachers is projected to grow 7 percent from 2024 to 2034, much faster than the average for all occupations.
Jobs: 1,415,600
Median pay: USD 83,980
Employment outlook: Overall employment of postsecondary teachers is projected to grow 7 percent from 2024 to 2034, much faster than the average for all occupations.
Openings: 96,700
Tasks and tools
- 1. Compile, administer, and grade examinations, or assign this work to others. · AI use 91%
- 2. Evaluate and grade students' class work, assignments, and papers. · AI use 95%
- 3. Maintain student attendance records, grades, and other required records. · AI use 0%
- 4. Prepare course materials, such as syllabi, homework assignments, and handouts. · AI use 0%
- 5. Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction. · AI use 78%
- 6. Maintain regularly scheduled office hours to advise and assist students. · AI use 0%
Work context
- E-Mail: 4.9/5
- Indoors, Environmentally Controlled: 4.7/5
- Face-to-Face Discussions with Individuals and Within Teams: 4.6/5
- Public Speaking: 4.5/5
- Freedom to Make Decisions: 4.3/5
- Contact With Others: 4.3/5
Tech density
6/6
6 hot · 0 in demand
Work pace
4.6/5
Average of the strongest work-context signals.
Worker profile
Median age: 49.2
Total employed: 1.1M · Under 25: 3% · 25 to 54: 60% · 55+: 36%
Support note
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.
Source vintage
O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Component occupations
Mathematical science teachers, postsecondary
25-1022 · 30% weight
ICT business process consultant / Business analyst
Support bundle: Extensive preparation
Marketing manager
n/a · 30% weight
Marketing manager
Management analysts
13-1111 · 20% weight
Management consultant
Support bundle: Moderate preparation
Public relations specialists
27-3031 · 20% weight
Marketing strategy/planning professional
Support bundle: Moderate preparation
Methodology
Shared spine
structural_pressure = exposure × (1 - bottleneck)
Country layer
headline_risk = structural_pressure × (1 - country_demand_resilience)
Published limitations
This is a synthetic role view built from mapped occupations. It reuses the same shell and visual components as the Singapore role pages, but only the US sources that actually exist are rendered here.