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Understanding how automation changes work — task by task, with the evidence shown and the uncertainty admitted.

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RPA / self-service
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Robotics
Retail cashier / shop assistantContainer port workerWarehouse workerAssembly line workerMedical laboratory technicianChef / cookCleaner / janitorFarmerFirefighterCabin crewElectrician
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Ride-hail / taxi driverTruck driverDelivery rider / courier
Majors
All majorsEnglish / Foreign languagesComputer scienceAccountingPsychologyJournalism / CommunicationFinanceLawVisual communication designMarketingNursingBusiness administrationEducation and teacher trainingArchitecturePublic administrationMedicineHospitality and tourism managementEconomicsInformation systems
Enter as:I have a jobI am studyingI run a companyI am building something
On this pageFilesEmbed the mapThree rules when you use itLicence and how to cite

Open data

Everything this site publishes about AI and work, in a shape a spreadsheet, a script or a newsroom can use: every occupation, every task judgement with what it rests on, and every verified evidence record with its source.

Files#

volo-occupations.csv

84 rows · 11 KB

One row per occupation: sector, impact index with its confidence and assessment date, the O*NET code it maps to and how well, task counts, page URL.

volo-tasks.csv

434 rows · 193 KB

One row per task judgement: direction, basis (evidenced or inferred), weight, technologies, what the judgement does not establish, the evidence behind it, URL.

volo-evidence.csv

232 rows · 310 KB

One row per verified evidence record: what happened and when, its stage, the source and its tier, where it applies, URL.

volo-open-data.json

750 rows · 664 KB

All three in one file, with the licence and the usage notes attached.

Regenerated from the site's content whenever a record is added, and checked against it byte for byte before every release. English only; each page carries the full text in six languages.

Embed the map#

The homepage map as a static image, regenerated with the data: every occupation where it stands today, coloured by sector, with the confidence, the assessment dates and the source written into the image itself. Use it in an article or a slide.

How AI is changing 84 occupations, task by task — VOLO

To embed it, paste this into your page — the link back is the credit the licence asks for:

<a href="https://flyvolo.ai/en"><img src="https://flyvolo.ai/data/volo-map.svg" alt="How AI is changing 84 occupations, task by task — VOLO" width="1200" height="900" style="max-width:100%;height:auto"></a>

Three rules when you use it#

  1. The impact index is not a probability of losing a job. Quote it only with its confidence and assessment date.
  2. Task direction, evidence stage and the impact index are separate readings. Do not add or average them into one score.
  3. Every task carries what its judgement does not establish (does_not_establish). Carry it with the claim.

Licence and how to cite#

CC BY 4.0 — https://creativecommons.org/licenses/by/4.0/

Credit: VOLO (flyvolo.ai) — please credit and link to https://flyvolo.ai/en/data

Cite the page that carries a claim where you can — a task lives at /careers/<occupation>#task-<id>, a record at /changes/<id>; both URLs are stable and are in the files. The O*NET codes come from the U.S. Department of Labor's O*NET 31.0 (CC BY 4.0).

For agents, the same content is a public MCP server at mcp.flyvolo.ai/mcp — no key.