Headline risk
34%
High RiskSolutions Engineer
AI displacement pressure score based on US employment data, wages, and demand signals. Built from 3 related occupations weighted by relevance.
Why this score
81% of tasks overlap with current AI
41% human advantage from judgment & presence
66% demand buffer from the local labour market
These factors interact with each other — the final score is not a simple sum of these bars.
Share of tasks AI can handle today
Work that requires human presence or coordination
How strong local hiring demand is for this role
How complete the underlying data is
Workflow profile
How this role's daily work breaks down across different dimensions.
Workflow dimensions (0 = low, 1 = high)
US employment data
Employment overview
Share of job tasks AI can currently perform
Annual median wage
Projected employment change 2024–2034
Education and training typically needed
Key metrics
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
What this job involves
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.
Entry requirements: Extensive preparation
The occupation usually needs extensive preparation, training, and experience.
Wage context
Median annual
USD 79,350
Mean annual
USD 92,880
10th percentile: USD 48,150
25th percentile: USD 60,880
75th percentile: USD 106,270
90th percentile: USD 161,020
Employment: 48,820 workers
Demand outlook
Current employment
58.9K
Projected employment
60.2K
Openings: 4.4K
Projected change: 2.3%
Education: Doctoral or professional degree
On-the-job training: None
Median wage: 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.
Workforce profile
Based on a survey of workers currently in this occupation.
Protects from AI displacement
- Can telework <10% of workers
- License required 52.3% of workers
Typical background
- Certificate <10% of workers
- High school diploma 45.2% of workers
- Bachelor's degree 43.6% of workers
- Associate's degree 11.2% of workers
- On-the-job training 51.8% of workers
Other characteristics
- Specific vocational preparation 23.5% of workers
Day-to-day work
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.
Key tasks
- 1. Compile, administer, and grade examinations, or assign this work to others. · AI can do 91%
- 2. Evaluate and grade students' class work, assignments, and papers. · AI can do 95%
- 3. Maintain student attendance records, grades, and other required records. · AI can do 0%
- 4. Prepare course materials, such as syllabi, homework assignments, and handouts. · AI can do 0%
- 5. Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction. · AI can do 78%
- 6. Maintain regularly scheduled office hours to advise and assist students. · AI can do 0%
Tools commonly used
Work environment
- 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
Who does this work
Median age: 49.2
1.1M employed · Under 25: 3% · 25–54: 60% · 55+: 36%
Data sources: O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Component occupations
Sales representatives, wholesale and manufacturing, technical and scientific products
41-4011 · 30% weight
Technical sales professional
Support bundle: Moderate preparation
Mathematical science teachers, postsecondary
25-1022 · 40% weight
Enterprise/Solution architect
Support bundle: Extensive preparation
Software developers
15-1252 · 30% weight
Software developer
Support bundle: Moderate preparation
How this score works
The score measures how much this role's tasks overlap with current AI capabilities, adjusted for human-only requirements and local job market demand. This is a structural pressure estimate, not a prediction of job losses. Learn how scores work →