Automation index
How much of a Junior developer’s job can AI already do?
Today an AI can already do 31% of this job. What’s left takes judgment, team context, and reading what never shows up on the ticket.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Junior developer
31%↓
AI can already do 31% of this job.
#38 / 623
View rankingJunior developer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowledge of computer capabilities, subject matter, and symbolic logic.EstimateNo public source provides a precise figure. This is our estimate. | 13% | 48% | +6.2 |
Write, update, and maintain computer programs or software packages to handle specific jobs such as tracking inventory, storing or retrieving data, or controlling other equipment.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 28% | +3.1 |
Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 28% | +3.1 |
Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 12% | +1.1 |
Conduct trial runs of programs and software applications to be sure they will produce the desired information and that the instructions are correct.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Develop Web sites.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Compile and write documentation of program development and subsequent revisions, inserting comments in the coded instructions so others can understand the program.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 30% | 28% | +8.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- write code
- programming
- software development
- coding
- debug code
- computer programming
- decentralized application frameworks
- blockchain openness
- software components libraries
- ICT debugging tools
Sources for this job· O*NET 15-1251.00· ESCO/ISCO 2512
IS WORK OVER?
ML engineer
29%
#64 / 623
View rankingML engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Train models, features and notebooks.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Evaluate, document and compare runs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Deploy, monitor and retrain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to product about what a good error is.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Dirty data, bias and model limits.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
On-call, incidents and rollback.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Train models, features and notebooks
- Evaluate, document and compare runs
- Deploy, monitor and retrain
- Talk to product about what a good error is
- Dirty data, bias and model limits
- On-call, incidents and rollback
- machine learning engineer
- ingeniero ml
- mlops
Sources for this job· O*NET 15-1221.00· ESCO/ISCO 2511