IS WORK OVER?

Automation index

How much of a Video producer’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

Video producer

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
Write and edit news stories from information collected by reporters and other sources.
Estimate

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

9%55%+5
Research production topics using the internet, video archives, and other informational sources.
Estimate

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

9%48%+4.3
Plan details such as framing, composition, camera movement, sound, and actor movement for each shot or scene.
Estimate

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

8%28%+2.2
Communicate to actors the approach, characterization, and movement needed for each scene in such a way that rehearsals and takes are minimized.
Estimate

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

7%28%+2
Compose and edit scripts or provide screenwriters with story outlines from which scripts can be written.
Estimate

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

6%28%+1.7
Cut and edit film or tape to integrate component parts into desired sequences.
Estimate

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

6%28%+1.7
Perform management activities, such as budgeting, scheduling, planning, and marketing.
Estimate

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

6%28%+1.7
Direct live broadcasts, films and recordings, or non-broadcast programming for public entertainment or education.
Estimate

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

5%55%+2.8
Other less frequent tasks (weight estimated from frequency).
Estimate

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

44%28%+12.3
Total100%34%

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

Skills and activities

  • project management principles
  • film production process
  • accounting techniques
  • audiovisual products
  • copyright legislation
  • work with motion picture editing team
  • manage budgets
  • consult with production director
  • select scripts
  • liaise with financiers

Sources for this job· O*NET 27-2012.00· ESCO/ISCO 2654

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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