IS WORK OVER?

Automation index

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

Today an AI can already classify, reconcile, and prep a first close. The final call, and what goes to the tax office, still has a name on it.

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

Task comparison

Data scientist

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.

TaskShareAIPoints
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
Estimate

No public source provides a precise figure. This is our estimate.

14%55%+7.7
Manage timely flow of business intelligence information to users.
Estimate

No public source provides a precise figure. This is our estimate.

13%28%+3.6
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
Estimate

No public source provides a precise figure. This is our estimate.

11%48%+5.3
Provide technical support for existing reports, dashboards, or other tools.
Estimate

No public source provides a precise figure. This is our estimate.

9%55%+5
Synthesize current business intelligence or trend data to support recommendations for action.
Estimate

No public source provides a precise figure. This is our estimate.

6%28%+1.7
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.
Estimate

No public source provides a precise figure. This is our estimate.

6%55%+3.3
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.
Estimate

No public source provides a precise figure. This is our estimate.

6%55%+3.3
Identify or monitor current and potential customers, using business intelligence tools.
Estimate

No public source provides a precise figure. This is our estimate.

6%28%+1.7
Other less frequent tasks (weight estimated from frequency).
Estimate

No public source provides a precise figure. This is our estimate.

29%28%+8.1
Total100%40%

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

Skills and activities

  • analyse data
  • models
  • dashboards
  • python
  • information structure
  • data warehouse
  • database
  • web programming
  • ICT security legislation
  • business process modelling

Sources for this job· O*NET 15-2051.01· ESCO/ISCO 2521

Cabinetmaker

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.

TaskShareAIPoints
Cutting list, CNC and ironmongery lists.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Assemble, veneer and fit in the shop.
Estimate

No public source provides a precise figure. This is our estimate.

22%10%+2.2
Install in the home and leave it true.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Client, real measures and changes.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Finishes, varnish and repairs.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Not delivering a drawer that will not close.
Estimate

No public source provides a precise figure. This is our estimate.

14%14%+2
Total100%19%

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

Skills and activities

  • Cutting list, CNC and ironmongery lists
  • Assemble, veneer and fit in the shop
  • Install in the home and leave it true
  • Client, real measures and changes
  • Finishes, varnish and repairs
  • ebanista
  • cabinetmaker
  • mueble a medida

Sources for this job· O*NET 51-7011.00· ESCO/ISCO 7522

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