Simon Janssen
Simon Janssen· CTO at HappyNurse · US AI Exposure Map 2026
Management

Construction Managers and AI

Moderate exposureAI score 4/10 · Management
4out of 10
JPE Score
Median salary
$115K
OEWS May 2025
Forecast 2030
0% to +10%
Employment
609K
BLS Employment Projections 2025
Employment growth 2021-2025 (OEWS)
+34%
Forecast trend 2025-2030
growth
Education
Graduate
Sector
Management

Exposure scores

JPE (Practical Exposure)4/10 — Moderate exposure
Felten AIOE (academic reference)6.4/10
Employment growth 2021-2025 (OEWS)+34%

AI exposure explained

What does an AI score of 4/10 mean?

Interpretation

Moderate exposure — Parts of this work can be assisted by AI. The role will evolve but not disappear.

For Construction Managers, AI exposure is moderate: some tasks will be assisted or automated, but the occupation as a whole is expected to evolve rather than disappear. Staying current with AI tools in the field is the key adaptation.


Forecast 2030

What changes for Construction Managers?

Expected employment change, 2025 to 2030
0% to +10%
Midpoint +4% · Growth occupation: expected demand rises
BaseBLS projection, AI not named by BLS+4%
Base + AIJPE 4/10: 0%+4%
Base + AI + roboticsno robotics effect before 2030+4%
Rows add up: the bottom row is the forecast.

The forecast starts from the national projection per occupation and adds AI and robotics as separate layers. The band of 0% to +10% matters more than the midpoint.

BLS AI exposure category: High (context next to the JPE score, not used in the forecast)

Sources: base BLS Employment Projections 2025-35 · jobs: BLS Employment Projections, 2025 (incl. self-employed) · growth 2021-2025: OEWS May 2021 to May 2025 · salary: OEWS May 2025. BLS already builds AI and automation effects into its projection for some occupations; where it does, no separate layer is added on top.

Read the methodology →


Simon Janssen
The person behind this map

I build with AI. And I track what it does to work.

I'm Simon Janssen, CTO and management board member at HappyNurse. This map shows, occupation by occupation, what AI does to work, based on official labour-market data rather than hype. On LinkedIn I share what I see as a CTO: what AI is already taking over, what it isn't, and what that means for people.


Sector context

Management and AI

Construction Managers belongs to the Management sector. This sector has an education level index of 4/4, indicating higher formal education requirements. Occupations in Management with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

ChatGPTMicrosoft Copilot

Career outlook

AI as an asset

This occupation is not directly threatened by AI. The smartest move is to learn the AI tools that strengthen your work: not because you have to, but because it makes you more productive and valuable.


Personal development

Personal development plan

Based on your sector (Management) and AI exposure level, here are three concrete steps to future-proof your career.

Learn AI strategy and governance

Every leadership role now requires AI literacy

→ MIT Sloan AI courses, CIONET
Master data-driven decision making

AI provides options; leaders must choose wisely

→ Microsoft Copilot, Notion AI
Develop change management skills

Leading AI transformation is the #1 challenge

→ Prosci, Kotter methodology

Related occupations

Similar occupations on the map

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AI 6/10·0% 2030
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Computer and Information Systems Managers
AI 7/10·+4% 2030
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Medical and Health Services Managers
AI 6/10·+9% 2030
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Home Health and Personal Care Aides
AI 3/10·+9% 2030
Healthcare Support
Retail Salespersons
AI 5/10·-1% 2030
Sales

International

This occupation in other countries

🇩🇪Bauleiter/innen
AI 4/10Construction Managers

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. The Felten AIOE score is shown as an academic reference. Employment from BLS Employment Projections 2025-35 (2025, including self-employed); growth 2021-2025 and salaries from BLS OEWS May 2021 and May 2025 (an estimate where OEWS has no figure). The 2030 forecast (JPE-prognose v3) starts from the BLS Employment Projections and adds separate AI and robotics layers only where BLS does not already include those effects. These are modelled scenarios, not predictions. A high AI score does not automatically mean job loss. All data CC BY 4.0.

Full methodology, sources and download →


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