Automation index

How much of a Data architect’s job can AI already do?

A lake diagram comes earlier. Data that can be used, and does not rot, do not.

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

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#83 / 623

Data architect

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
Models, lineage and the catalogue. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Pipelines, quality and the data contract. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The analyst who finds nothing and the mess. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Privacy, retention and the field you cannot keep. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The business, shadow IT and not building another lake. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it gets used, and not letting raw data rot. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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

IS WORK OVER?

23%

#299 / 623

Labour inspector

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
Plan visits, complaints and the firm’s history. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site or workplace, stop unsafe work and take statements. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Minutes, orders and the penalty proposal. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Contracts, hours and the bogus self-employed. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Union, employer and what is argued in the corridor. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
A penalty that holds, and not looking away. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		23%

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