AI Job Risk in Technology
Artificial intelligence is rapidly transforming this industry.
Many roles involving data analysis, document processing, and routine decision-making are increasingly automated by AI systems.
However, professions requiring strategic thinking and human judgment remain more resilient.
What to keep in mind first
Technology is one of the fastest-moving areas for AI adoption, but it is also one of the least uniform. Some roles are heavily shaped by automation support, while others become more important precisely because systems are growing more complex.
Industry Average Risk Score
51.13
Jobs Analyzed
23
How to read this page in practice
The notes below explain how to interpret the score, where automation pressure tends to show up first, and where human-led value is more likely to remain inside this industry.
How to Read This Industry
Technology becomes clearer when work that speeds up through AI assistance is separated from work that remains tied to design, integration, and operational judgment. The sector changes quickly, but that speed alone does not tell you which roles actually become easier to replace.
What Automation Hits First
AI tends to move quickly into coding support, testing assistance, documentation, routine debugging, and draft implementation work. It becomes less complete where the job depends on system design, architecture, operational tradeoffs, or decisions about how pieces should fit together over time.
What Still Depends on People
In technology, the work that holds its value most strongly is the work of defining structure, not simply generating output. Roles that connect design, constraints, responsibility, and long-term system behavior keep more value than roles built mostly on routine implementation steps.
How to Use the Gap
Read the score with the understanding that technology does not move as one block. It becomes more useful when you separate production support from architectural judgment, operational responsibility, and the work of deciding what should be built in the first place.
Jobs Most At Risk from AI
This table is a current snapshot of jobs in this industry that sit on the higher-risk side. Read it together with the fixed commentary above rather than as a permanent list of examples.
| Rank | Job | Risk Score |
|---|---|---|
| 1 | Data Entry Clerk | 81 |
| 2 | Software Tester | 73 |
| 3 | Data Analyst | 72 |
| 4 | System Administrator | 68 |
| 5 | QA Engineer | 65 |
| 6 | Mobile App Developer | 64 |
| 7 | Database Administrator | 63 |
| 8 | Software Engineer | 62 |
| 9 | IT Support Specialist | 61 |
| 10 | Programmer | 57 |
| 11 | Technical Writer | 55 |
| 12 | Game Developer | 54 |
| 13 | Web Developer | 53 |
| 14 | Network Engineer | 53 |
| 15 | DevOps Engineer | 39 |
| 16 | AI Engineer | 38 |
| 17 | Data Scientist | 37 |
| 18 | Cloud Engineer | 37 |
| 19 | Electrical Engineer | 34 |
| 20 | Product Manager | 33 |
Jobs Safest from AI
This table shows the jobs in this industry that currently sit on the lower-risk side. Use it as a comparison of task structure, not as a promise that these roles will never change.
| Rank | Job | Risk Score |
|---|---|---|
| 1 | Machine Learning Engineer | 23 |
| 2 | Cybersecurity Analyst | 26 |
| 3 | Robotics Engineer | 28 |
| 4 | Product Manager | 33 |
| 5 | Electrical Engineer | 34 |
| 6 | Data Scientist | 37 |
| 7 | Cloud Engineer | 37 |
| 8 | AI Engineer | 38 |
| 9 | DevOps Engineer | 39 |
| 10 | Web Developer | 53 |
| 11 | Network Engineer | 53 |
| 12 | Game Developer | 54 |
| 13 | Technical Writer | 55 |
| 14 | Programmer | 57 |
| 15 | IT Support Specialist | 61 |
| 16 | Software Engineer | 62 |
| 17 | Database Administrator | 63 |
| 18 | Mobile App Developer | 64 |
| 19 | QA Engineer | 65 |
| 20 | System Administrator | 68 |