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Government

Public Procurement Officer

Based on 20 assessments

49% Moderate risk

Average realistic automation risk across all Public Procurement Officer profiles in the dataset.

Raw potential
71%
Realistic risk
49%
Research benchmark ?
47%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 20 profiles. Middle half of Public Procurement Officers score between 45% and 53%.

0% 50% 100%
p10 · 41%
55% · p90
On-screen work 64%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 12%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 24%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 0%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Public Procurement Officer, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Managing supplier relationships, negotiating terms, pricing, and contract amendments
some context needed
20% DA 10%
Attending meetings with suppliers, stakeholders, and evaluation committees to explain decisions
some context needed
19% DA 7%
Processing purchase orders, invoices, and maintaining procurement database records
15% DD 92%
Drafting tender documents, specifications, and procurement briefs based on department requirements
15% DD 47%
Reviewing supplier bids, evaluating compliance with criteria, and scoring submissions
14% DD 60%
Ensuring compliance with procurement regulations, audit trails, and policy requirements
7% DD 91%
Coordinating with internal departments to understand needs, timelines, and budget constraints
deep expertise
6% AD 2%

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