AI for Quantity Surveying Report: Exploring Impact, Building Competence, and Advancing Responsible Use

Abdullahi B. Saka; Kudirat Ayinla; Franco Cheung; Anil Sawhney; Alice  Graham; James Garner; Noha Saleeb; Opeoluwa  Akinradewo; Richard  Golding

AI for Quantity Surveying Report: Exploring Impact, Building Competence, and Advancing Responsible Use

Abdullahi B. Saka^*
, Kudirat Ayinla
, Franco Cheung
, Anil Sawhney
, Alice Graham
, James Garner
, Noha Saleeb
, Opeoluwa Akinradewo
, Richard Golding

^*Corresponding author for this work

Department of Engineering

Loughborough University
University of Westminster
Middlesex University, London, School of Computing Science
University of The Free State

Research output: Book/Report › Commissioned report

Abstract

As Artificial Intelligence (AI) transforms how projects are costed, managed, and delivered, the Quantity Surveying (QS) profession stands at a critical turning point. The integration of data-driven tools, automation, and predictive analytics is creating opportunities for improved efficiency, sustainability, and decision-making. However, these advancements also raise challenges related to bias, transparency, accountability, and professional integrity. The AI4QS Report responds to these realities by investigating how Quantity Surveyors can adopt AI responsibly, ensuring that technology enhances, rather than replaces human expertise and ethical judgment.

Original language	English
Publication status	Published (VoR) - 21 Jan 2026

Access to Document

https://ai4qs.com/AI4QS-Report-2025.pdf

Cite this

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title = "AI for Quantity Surveying Report: Exploring Impact, Building Competence, and Advancing Responsible Use",

abstract = "As Artificial Intelligence (AI) transforms how projects are costed, managed, and delivered, the Quantity Surveying (QS) profession stands at a critical turning point. The integration of data-driven tools, automation, and predictive analytics is creating opportunities for improved efficiency, sustainability, and decision-making. However, these advancements also raise challenges related to bias, transparency, accountability, and professional integrity. The AI4QS Report responds to these realities by investigating how Quantity Surveyors can adopt AI responsibly, ensuring that technology enhances, rather than replaces human expertise and ethical judgment.",

author = "Saka, \{Abdullahi B.\} and Kudirat Ayinla and Franco Cheung and Anil Sawhney and Alice Graham and James Garner and Noha Saleeb and Opeoluwa Akinradewo and Richard Golding",

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TY - BOOK

T1 - AI for Quantity Surveying Report: Exploring Impact, Building Competence, and Advancing Responsible Use

AU - Saka, Abdullahi B.

AU - Ayinla, Kudirat

AU - Cheung, Franco

AU - Sawhney, Anil

AU - Graham, Alice

AU - Garner, James

AU - Saleeb, Noha

AU - Akinradewo, Opeoluwa

AU - Golding, Richard

PY - 2026/1/21

Y1 - 2026/1/21

N2 - As Artificial Intelligence (AI) transforms how projects are costed, managed, and delivered, the Quantity Surveying (QS) profession stands at a critical turning point. The integration of data-driven tools, automation, and predictive analytics is creating opportunities for improved efficiency, sustainability, and decision-making. However, these advancements also raise challenges related to bias, transparency, accountability, and professional integrity. The AI4QS Report responds to these realities by investigating how Quantity Surveyors can adopt AI responsibly, ensuring that technology enhances, rather than replaces human expertise and ethical judgment.

AB - As Artificial Intelligence (AI) transforms how projects are costed, managed, and delivered, the Quantity Surveying (QS) profession stands at a critical turning point. The integration of data-driven tools, automation, and predictive analytics is creating opportunities for improved efficiency, sustainability, and decision-making. However, these advancements also raise challenges related to bias, transparency, accountability, and professional integrity. The AI4QS Report responds to these realities by investigating how Quantity Surveyors can adopt AI responsibly, ensuring that technology enhances, rather than replaces human expertise and ethical judgment.

UR - https://www.open-access.bcu.ac.uk/16837/

M3 - Commissioned report

BT - AI for Quantity Surveying Report: Exploring Impact, Building Competence, and Advancing Responsible Use

ER -

AI for Quantity Surveying Report: Exploring Impact, Building Competence, and Advancing Responsible Use

Abstract

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