Automation index

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

Pulling a dataset and a first chart is instant. Deciding which model holds, and explaining it to a ministry, is not.

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

Task comparison

IS WORK OVER?

30%

AI can already do 30% of this job.

#49 / 623

Economist

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
Clean data, estimate and produce tables. Estimate No public source provides a precise figure. This is our estimate.	22%	52%	+11.4
Draft notes, briefs and a first paper. Estimate No public source provides a precise figure. This is our estimate.	18%	45%	+8.1
Choose model, assumptions and robustness. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Present to a client, ministry or board. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
Debate, peer-review and defend the numbers. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Read the political context and data quality. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Total	100%		30%

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

IS WORK OVER?

24%

#282 / 623

Job insertion technician

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
Employer prospecting and the agreements. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Go with them to the job and the first day. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Follow-up, incidents and the one who quits. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Reports, indicators and justifying the grant. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The hard candidate and the employer who pulls out. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they stay, and not dressing the figure. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		24%

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