Will AI Replace Technology Jobs?
We analyzed 38 occupations in technology to determine their AI replacement risk. The average risk score is 45/100.
Risk Distribution
⚠️ Highest Risk Technology Jobs
✅ Safest Technology Jobs
Web and Digital Interface Designers
5Design digital user interfaces or websites. Develop and test layouts, interfaces, functionality, and navigation menus to...
Computer Occupations, All Other
6All computer occupations not listed separately.......
Penetration Testers
6Evaluate network system security by conducting simulated internal and external cyberattacks using adversary tools and te...
Digital Forensics Analysts
6Conduct investigations on computer-based crimes establishing documentary or physical evidence, such as digital media and...
Blockchain Engineers
6Maintain and support distributed and decentralized blockchain-based networks or block-chain applications such as cryptoc...
Data Scientists
8Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information us...
Mathematical Science Occupations, All Other
8All mathematical scientists not listed separately.......
All Technology Jobs by AI Risk
Future-Proof Your Technology Career
Technology has a relatively low average risk score of 45/100, but staying ahead of AI trends is still crucial for career growth.
Frequently Asked Questions
Will AI replace technology jobs?
Based on our analysis of 38 occupations, the average AI replacement risk in technology is 45/100. 1 jobs face high risk, while 7 jobs have low risk. The impact varies significantly depending on the specific tasks involved in each role.
Which technology jobs are most at risk?
The highest-risk jobs include Computer User Support Specialists (73/100). These roles involve repetitive or data-processing tasks that AI can increasingly handle.
How can technology workers prepare for AI?
Focus on skills that AI struggles with: creative problem-solving, emotional intelligence, complex physical tasks, and strategic thinking. Consider learning to work alongside AI tools rather than competing with them. Upskilling in data literacy and AI fundamentals can also help you leverage these technologies in your current role.