Disc Jockeys

Arts, Design, Entertainment & Media

AI exposure

  • Data source: BLSPublished: 2026-08

    High· relative

    LowFour relative bandsVery high

    Group-level value

    Scale, basis and source

    Four relative bands (Low / Moderate / High / Very high)

    831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band

    Source dataset (XLSX download)

  • Data source: ILOPublished: 2025

    0.13

    0.09Range of values carried here0.70

    Group-level value

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    ISCO-08 unit group — every occupation sharing the code gets this value

    Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 97% score at or above this value.

    Source dataset

  • Data source: OpenAIPublished: 2023

    0.368

    0.000Range of values carried here0.844
    Scale, basis and source

    Human-rater β, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

Exposed tasks only

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

TaskβE1 + 0.5 × E2
Accept music requests from event guests.

O*NET Task ID 22604

1.0
Advertise services using media such as internet advertising and brochures.

O*NET Task ID 22606

1.0
Communicate with clients or venue owners to determine event information, such as music preferences, scheduling, and anticipated attendance.

O*NET Task ID 22609

1.0
Create itemized invoices to record amounts due for services rendered.

O*NET Task ID 22611

1.0
Create tailored playlists by aligning music with event functions.

O*NET Task ID 22612

1.0
Develop written contracts for bookings.

O*NET Task ID 22613

1.0
Listen to music before playing at events to ensure recordings are appropriate and meet quality standards.

O*NET Task ID 22616

1.0
Organize music libraries or playlists.

O*NET Task ID 22621

1.0
Maintain up-to-date knowledge of music releases and trends.

O*NET Task ID 22617

0.5
Mix, cut, or sample recorded music using DJ controllers, CDJs, or DJ mixers.

O*NET Task ID 22618

0.5
Adhere to schedules to keep events running on time.

O*NET Task ID 22605

0.0
Assemble audio and video equipment.

O*NET Task ID 22607

0.0
Collect payments from customers.

O*NET Task ID 22608

0.0
Conduct sound checks to ensure equipment is working and appropriate for the venue.

O*NET Task ID 22610

0.0
Encourage guests to dance using group dances, competitions, or other party games.

O*NET Task ID 22614

0.0
Lead party games, such as dance-offs or prize giveaways.

O*NET Task ID 22615

0.0
Operate visual effects equipment, such as lights, fog machines, or lasers.

O*NET Task ID 22620

0.0

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information