SOC 17-2000
Engineers
Risk Score
⚠️20/100
Low Risk
US Employment
👥1,746,750
Total workers
Median Wage
💰$106K
$70K – $173K
Projected Growth
📈+6.9%
2023-2033 (BLS)
GenAI Exposure
🤖35/100
Moderate exposure
💡 Engineers face a risk score of 20/100 — 24 points below the national average of 44. With only 35/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology →
💡 Workers in this field earn $106K ($60K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths →
🔍 AI Impact Analysis
With a risk score of just 20/100, Engineers is well-positioned against AI automation. Core responsibilities like cross-disciplinary collaboration on complex projects and client communication and technical consultation rely heavily on human judgment and interpersonal skills that AI cannot easily replicate. The 1,746,750 Americans in this role can expect continued demand, though they should still stay informed about AI tools that can enhance their productivity.
Will AI Replace Engineers?
Read our full analysis with verdict, risk factors, safe tasks, and career transition paths →
⚠️ Top Risk Factors
AI-assisted CAD and generative design tools
AI-optimized manufacturing process design
Robotic inspection and testing automation
🛡️ Tasks Safe from Automation
Cross-disciplinary collaboration on complex projects
Client communication and technical consultation
Safety-critical judgment in design review
On-site problem-solving in variable physical conditions
Novel engineering design for unprecedented challenges
📊 vs National Average
National avg: $46K
National avg: 44/100
National avg: 38/100
National avg: 3.7%
🔄 Career Transition Paths
| Occupation | Risk | Wage | Overlap |
|---|---|---|---|
| Architects, Except Landscape and Naval | 29 | $97K | 70% |
| Computer and Information Research Scientists | 30 | $141K | 65% |
| Electronics Engineers, Except Computer | 29 | $128K | 80% |