Trades

Quantity Surveyor

Based on 36 assessments

38% Moderate risk

Average realistic automation risk across all Quantity Surveyor profiles in the dataset.

Raw potential
72%
Realistic risk
38%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context.

Distribution across 36 profiles. Middle half of Quantity Surveyors score between 35% and 41%.

0% 50% 100%
p10 · 30%
44% · p90
On-screen work 54%

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

In-person + screen 46%

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 0%

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

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

Task Time Type Exposure
Reviewing architectural and engineering drawings to identify and measure all construction elements (e.g., walls, floors, roofs, doors, windows) and preparing a detailed bill of quantities (BOQ) for tendering purposes
22% AD 33%
Visiting construction sites to monitor progress, verify measurements, and assess variations or changes in the scope of work that may impact costs
deep expertise social element
20% AD 19%
Preparing and issuing tender documents, including contracts, BOQs, and specifications, to contractors and suppliers, and evaluating submitted bids for accuracy and competitiveness
15% DD 49%
Performing cost control and value engineering exercises to identify opportunities for cost savings without compromising quality or functionality
deep expertise social element
14% DD 25%
Preparing monthly cost reports for clients, including forecasts, cash flow projections, and analysis of variances between budgeted and actual costs
12% DD 50%
Conducting cost estimates for construction projects by analyzing material, labor, and equipment requirements, often using specialized software like CostX or Bluebeam
deep expertise
10% DD 39%
Negotiating with contractors, suppliers, and clients to agree on final costs, contract terms, and payment schedules, often requiring in-person or virtual meetings
deep expertise
4% AD 11%

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