Occupation baseline ยท Model 1.0

Is the Odd-job person role AI-proof?

The Odd-job person role is not fully AI-proof. Its baseline suggests that a substantial share of the work is reachable by current AI, while human accountability, context and relationships can still protect important tasks.

85AI exposure
HighExposure band
23Baseline resilience
ExposedResilience band
Assess my actual Odd-job person work

Direct answer

Exposure is not replacement probability

The Odd-job person role is not fully AI-proof. Its baseline suggests that a substantial share of the work is reachable by current AI, while human accountability, context and relationships can still protect important tasks. The 85/100 figure is an occupation-level starting point. It does not mean that 85% of workers will lose their jobs or that 85% of the role will certainly disappear.

Role context

What Odd-job person work involves

Gig workers engage in various temporary, unskilled or semi-skilled manual labor such as moving, cleaning, simple repairs, etc., typically working in construction, warehousing, or domestic services.

More exposed

Tasks AI can reach

  • Quoting and paperwork drafts
  • Standards and parts lookup
  • Routine planning

Human advantage

Tasks that resist removal

  • Physical installation and repair
  • Site-specific diagnosis
  • Safety accountability

Augmentation

Where AI may help

  • Mobile diagnostic support
  • Documentation assistance
  • Scheduling optimisation

Why your result may differ

A title cannot describe the whole job

Two people called Odd-job person may have different exposure. Routine digital inputs and repeatable rules raise automation pressure. Accountability, trust, unusual cases, physical presence and senior decision-making generally raise resilience. The personal assessment adjusts this baseline around those factors.

Data snapshot2026-07-16
Coverage3 markets in the compiled dataset
ModelJob Resilience Model 1.0

Baseline inputs come from the site's compiled occupation dataset. Scores are editorial planning indicators, not official labour-market forecasts. See the methodology, formulas and limitations.

Measure the work you actually do

Adjust this baseline using your task mix, career level and workplace context. No account is required and answers remain in your browser.

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