Automation index
How much of a Web developer’s job can AI already do?
A layout and a component come earlier. A site that loads and does not die on a Friday does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Web developer
26%
AI can already do 26% of this job.
#198 / 633
View rankingWeb 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 |
|---|---|---|---|
Layout, components and API consumption.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Accessibility, performance and technical SEO.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Design, product and the client who changes their mind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Deploys, incidents and monitoring.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Tests, code review and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not shipping a half-change on a Friday.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- write code
- programming
- software development
- coding
- debug code
- Layout, components and API consumption
- Deploys, incidents and monitoring
- Tests, code review and documentation
- Not shipping a half-change on a Friday
- desarrollador web
Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513
IS WORK OVER?
Epidemiologist
31%
#34 / 633
View rankingEpidemiologist
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 |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263