Automation index

How much of a Radiation oncologist’s job can AI already do?

Assisted contouring comes earlier. Setting the field and not burning healthy tissue do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#311 / 623

Radiation oncologist

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
Contouring, fractions and the dose plan. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Clinic, the tumour and what can be irradiated. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Simulation, immobilisation and the machine day. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Side effects, pauses and the patient who cannot take it. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Board, the surgeon and the medical oncologist. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Signing the plan and the dose that does not erase. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

26%

#198 / 623

Web developer

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. Estimate No public source provides a precise figure. This is our estimate.	20%	48%	+9.6
Accessibility, performance and technical SEO. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Design, product and the client who changes their mind. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Deploys, incidents and monitoring. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Tests, code review and documentation. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not shipping a half-change on a Friday. Estimate No 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