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Buyer

Based on 38 assessments

40% Moderate risk

Average realistic automation risk across all Buyer profiles in the dataset.

Raw potential
69%
Realistic risk
40%
Research benchmark ?
37%

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

Distribution across 38 profiles. Middle half of Buyers score between 35% and 45%.

0% 50% 100%
p10 · 32%
48% · p90
On-screen work 61%

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

In-person + screen 26%

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

Computer + action 0%

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

Fully in-person 13%

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

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

Task Time Type Exposure
Source and evaluate supplier quotes for materials, components, or services; compare pricing, quality, lead times, and terms
25% DD 47%
Coordinate with internal stakeholders (engineering, operations, finance) to understand requirements and align purchasing strategy
deep expertise
20% AD 7%
Monitor inventory levels and supplier performance; forecast demand and adjust order quantities to avoid stockouts or overstock
16% DD 45%
Negotiate contracts and purchase agreements with vendors; handle pricing, payment terms, delivery schedules, and SLAs
deep expertise
13% AD 0%
Build and maintain relationships with key suppliers; conduct meetings, site visits, and performance reviews
deep expertise
12% AA 2%
Research market trends, new suppliers, and emerging materials or technologies relevant to purchasing categories
11% DD 47%
Review purchase orders, invoices, and receipts; reconcile discrepancies and process payments or dispute resolutions
1% DD 91%

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