IS WORK OVER?

Automation index

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

Today an AI can already spin variants and assemble a first cut. Deciding what works, what ships, and why, is still direction.

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

Task comparison

Photographer

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
Adjust apertures, shutter speeds, and camera focus according to a combination of factors, such as lighting, field depth, subject motion, film type, and film speed.
Estimate

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

10%28%+2.8
Use traditional or digital cameras, along with a variety of equipment, such as tripods, filters, and flash attachments.
Estimate

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

8%28%+2.2
Create artificial light, using flashes and reflectors.
Estimate

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

8%28%+2.2
Manipulate and enhance scanned or digital images to create desired effects, using computers and specialized software.
Estimate

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

7%28%+2
Estimate or measure light levels, distances, and numbers of exposures needed, using measuring devices and formulas.
Estimate

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

7%28%+2
Transfer photographs to computers for editing, archiving, and electronic transmission.
Estimate

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

7%28%+2
Perform general office duties, such as scheduling appointments, keeping books, and ordering supplies.
Estimate

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

7%28%+2
Determine desired images and picture composition, selecting and adjusting subjects, equipment, and lighting to achieve desired effects.
Estimate

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

7%28%+2
Other less frequent tasks (weight estimated from frequency).
Estimate

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

39%28%+10.9
Total100%28%

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

Skills and activities

  • interview techniques
  • photography
  • editorial standards
  • writing techniques
  • spelling
  • grammar
  • copyright legislation
  • participate in editorial meetings
  • set up photographic equipment
  • study topics

Sources for this job· O*NET 27-4021.00· ESCO/ISCO 3431

Ice-cream maker

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
Base, overrun and the recipe.
Estimate

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

16%44%+7
Churn, age and the one that crystals.
Estimate

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

18%12%+2.2
List, season and the flavour that misses.
Estimate

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

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

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

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

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

18%18%+3.2
Creamy in the mouth, and not selling ice.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • churn
  • overrun
  • age bases
  • ice-cream list
  • cold chain
  • ice crystals
  • vanilla
  • ice-cream season

Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512

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