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IoT Developers

Computer & Mathematicalmediumaugment
BLS 2024-34: +18%
Median Wage: $105,840
Employment: 38K

Overall Exposure

51

2025 vs 2023

Theoretical Exposure

70

What AI could do

Observed Exposure

32

What AI actually does

Automation Risk Score

25

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

51โ†’65
+14

2025 โ†’ 2028 (estimated)

Theoretical Exposure

70โ†’81
+11

2025 โ†’ 2028 (estimated)

Observed Exposure

32โ†’49
+17

2025 โ†’ 2028 (estimated)

Automation Risk

25โ†’38
+13

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202445652520actual
202551703225estimated
202656743830estimated
202761784434estimated
202865814938estimated

Task Breakdown

Write device firmware and communication protocols
42%ฮฒ 0.5
Integrate sensor data with cloud analytics platforms
55%ฮฒ 1
Debug and test hardware-software interactions
30%ฮฒ 0

About This Occupation

If you work as an IoT Developer, AI is augmenting your coding and integration tasks. With an automation risk of 25/100 and overall exposure at 51%, this role faces medium transformation. Cloud integration sees the highest automation at 55%. BLS projects +18% growth through 2034.

Frequently Asked Questions

With an automation risk score of 25%, IoT Developers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for IoT Developers is 25% (2025 data). Overall AI exposure is 51%, with 70% theoretical exposure and 32% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for IoT Developers are: Integrate sensor data with cloud analytics platforms (55%), Write device firmware and communication protocols (42%), Debug and test hardware-software interactions (30%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +18% employment change for IoT Developers from 2024 to 2034. Combined with an overall AI exposure of 51%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in IoT Developers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.