Will AI replace internet of things engineers?
AI will not replace this job because it requires the physical integration of hardware and software in unpredictable environments. While AI can optimize code, it cannot physically install sensors or troubleshoot hardware failures in the field.
Why AI struggles to replace this job
- AI lacks the physical dexterity required to install and maintain complex hardware sensors in industrial environments.
- Developing IoT systems requires custom cross-disciplinary problem solving between electrical, mechanical, and software engineering.
- Engineers must navigate unique physical site constraints that vary wildly between different buildings and factories.
- Trust and safety protocols for physical infrastructure require human oversight to prevent catastrophic real-world system failures.
Tasks AI could automate
- Writing boilerplate firmware code for standard sensor communication protocols.
- Analyzing massive datasets from connected devices to identify performance anomalies.
- Generating documentation for API endpoints used in device connectivity.
- Simulating network traffic loads to test device stress levels.
The 10-year outlook
Demand will surge as 'smart' infrastructure expands across all sectors, leading to high wage growth. The role will shift from basic connectivity toward managing edge computing and complex AI-driven device ecosystems.
Common questions
Will AI replace internet of things engineers?
AI will not replace this job because it requires the physical integration of hardware and software in unpredictable environments. While AI can optimize code, it cannot physically install sensors or troubleshoot hardware failures in the field.
What is the AI replacement risk for internet of things engineers?
Internet of Things Engineer scores 15/100 — This career is well shielded from AI replacement. Roughly 35% of the tasks in this role could be automated with current and near-future AI.
How much do internet of things engineers earn in 2026?
The US median salary for a internet of things engineer is about $128,000 per year, with projected employment growth of +25% over the next decade (much faster than average).
Which internet of things engineer tasks can AI automate?
Writing boilerplate firmware code for standard sensor communication protocols. Analyzing massive datasets from connected devices to identify performance anomalies. Generating documentation for API endpoints used in device connectivity. Simulating network traffic loads to test device stress levels.
Is internet of things engineer a good career to switch to?
Internet of Things Engineer has a low AI risk score (15/100) and a +25% 10-year outlook. Compare it with your current job or use the salary calculator to see how a switch would affect your pay.
How can internet of things engineers use AI instead of fearing it?
AI can speed up routine internet of things engineer tasks like Writing boilerplate firmware code for standard sensor communication protocols. and Analyzing massive datasets from connected devices to identify performance anomalies.. The most resilient workers learn to direct these tools while focusing on the human judgment, creativity and physical work that AI can't easily replicate.
Internet of Things Engineer at a glance
| AI Risk Score | 15/100 · Low risk |
|---|---|
| Automation potential | 35% of tasks |
| Median salary (US) | $128,000 |
| 10-year outlook | +25% · Much faster than average |
| Typical education | Bachelor's degree |
Plan your next move
A risk score is most useful when you compare it with other options.
Training paths for Internet of Things Engineer
Build skills for this role or prepare for a resilient next move. Course links may earn us a commission; they never affect your AI Risk Score.
Machine Learning Specialization
Coursera · Intermediate · 3 months
Building the models beats being replaced by them — the highest-leverage move in tech right now.
AWS Cloud Solutions Architect
Coursera · Intermediate · 4 months
Architecture and production reliability require accountability, not just code output.
AI Engineering Professional Certificate
edX · Advanced · 4–6 months
Move from writing routine code to designing the systems that use AI.
Google AI Essentials
Google · Beginner · ~10 hours
Learn to work with AI tools instead of competing with them — the fastest way to stay valuable in any role.
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