VOLOVLOAutomation risk & transition, task by task
AskOccupationsMajorsBusinessFoundersChangesNotesMethod
Search occupations, majors…
EN
  • English
  • 简体中文
  • 日本語
  • Español
  • Português
  • Français
VLO
VOLO

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

AskOccupationsMajorsBusinessFoundersChangesNotesMethodWill AI replace my job?AboutRole diagnosisOpen dataOntologyVOLO ProPrivacyTerms
© 2026 VOLO
Guides
Ask VOLOFor businessFor foundersRecent changesNotesRole diagnosisFirst AI experimentVOLO ProMethod & evidenceAboutFollow an occupationSearch
Occupations
All occupations
AI / software
Translator / InterpreterBank tellerCopywriterContent moderatorCustomer service representativeAdministrative assistantSoftware tester / QA engineerGraphic designerParalegalVideo editorAccountant / BookkeeperMarketing specialistFrontend developerTax preparer / tax agentVoice actorMedical coderData analystInsurance claims handlerTechnical writer / documentation engineerJunior software developerInsurance underwriterHR / recruiterLoan officer / credit officerFinancial analystProcurement / supply chain specialistJournalistSales / account managerReal estate agentIT support specialist / helpdeskAuditorManagement consultantBackend developerAI researcherProduct / UX designerBusiness systems ownerE-commerce operations specialistActuaryRadiologistData engineerProject managerLawyerMedical assistant / clinic assistantQuantity surveyorMachine learning engineerExperienced software engineerDevOps / platform / SRE engineerProduct managerPharmacistPartnerships / channel managerSecurity analyst (SOC)Financial adviser / financial plannerCompliance officerLibrarianArchitectFirst-line manager / team supervisorCounsellor / therapistRetail salesperson / shop assistantCivil / structural engineerSecurity guardBus driverInsurance agentSchool teacherGeneral practitioner / primary care doctorAirline pilotWaiter / restaurant serverRadiographer / radiologic technologistAuto mechanic / vehicle technicianPolice officerSonographerAir traffic controllerVeterinarianPhysiotherapist / rehabilitation therapistDentistConstruction workerSocial workerRegistered nurseCare worker / nursing assistantPlumberAI implementation lead
RPA / self-service
Government service clerkOperations coordinatorMetro train driverReceptionist / front desk
Robotics
Retail cashier / shop assistantContainer port workerWarehouse workerAssembly line workerMedical laboratory technicianWelderChef / cookCleaner / janitorFarmerFirefighterCabin crewElectrician
Autonomous driving
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
Recent changes›Firefighter›2025-03-31
DeploymentCognitive automation2025-03-31

England's fire inspectorate reports that services target home fire safety visits better, with 85.1% reaching at-risk people in 2024/25 against 76.6% in 2021/22, some using AI for risk profiling

Firefighteroccupation page →
Event date / reported
2025-03-31 · reported 2025-11-05
Evidence stage
DeploymentAn employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.
Tasks this bears on
Prevention, drills and community work
Visiting premises, running evacuation drills, teaching residents what to do, and keeping crews trained and fit.
Still human-led✓ Evidence-backed
Where this applies
The statutory inspectorate's annual assessment to Parliament. It says the number of home fire safety visits has stayed broadly the same since 2018 but services have improved how they target them: 76.6 per cent of visits in 2021/22 included at least one vulnerable or at-risk person, against 85.1 per cent in 2024/25; it names County Durham and Darlington using artificial intelligence for risk profiling and proposing work plans for watch-based crews, and Humberside using machine learning to profile risk. The improvement is not attributed to AI, and the visits are still made by crews.
What this means
Who gets a prevention visit is increasingly decided with data, and in some services with AI; the visit itself — the knock on the door, the smoke alarm, the conversation — is still made by firefighters. Targeting is changing faster than the work.
What it does not yet show
One country's inspectorate; it does not attribute the better targeting to AI or show any change in crews' time.
What you can check
Open HMICFRS's State of Fire and Rescue 2024–25 and find "compared to 85.1 percent (501,123 out of 588,855) in 2024/25".
Does it change the assessment?
No. The impact index is never moved by a single event. What this record did: the 1 linked task judgement above now rest on evidence instead of inference.
Source
His Majesty's Inspectorate of Constabulary and Fire & Rescue Services — State of Fire and Rescue: The Annual Assessment of Fire and Rescue Services in England 2024–25 (published 5 November 2025) · verified 2026-09-27 · Claude (VOLO agent) · interpreted 2026-09-27 · Claude (VOLO agent)
Primary source — published by the party that did this, or the authority of record. No co-signature needed.
All changes for Firefighter →All recent changes →How events become evidence →