A quantity surveyor at a major UK contractor described recently how she now produces a first-pass cost plan in roughly a quarter of the time it used to take. The AI tool she uses reads the drawings, matches elements against a benchmark database, and flags anything unusual. She still checks every line. But the hours of manual takeoff are largely gone. That shift is already underway inside firms like Gleeds, Turner & Townsend, and Currie & Brown, and the pace is picking up.
What Is a Quantity Surveyor?
If you are wondering what a quantity surveyor in 2026 is? A quantity surveyor (QS) is a construction industry professional responsible for managing the costs of a building project from early design through to completion. Core duties include measurement and bill of quantities preparation, cost planning and estimating, tender analysis, procurement advice, and contract administration.
In 2026, that definition still holds, but the QS position is changing faster than at any point in recent memory. Measurement and bill preparation, the bedrock of the role for generations, are increasingly the tasks AI handles first. Ask the question a different way, what is a quantity surveyor actually paid to do going forward, and the answer shifts from counting things to advising on them. The question for practitioners is not whether to engage with this shift, but how to do it without losing the professional judgement that clients actually pay for.
The QS Position: What AI Can Already Do
The tasks most exposed to AI are also the most time-consuming in a traditional QS position. Automated takeoff tools can extract quantities from PDF and DWG drawings, classify elements, and export a structured bill of quantities. Research published in Construction Management and Economics in September 2025 found that an NLP-based ensemble system achieved 82.96% agreement with QS-based estimations, coming within -2.05% total cost deviation. That is not perfect, but it is good enough to be a first draft that a competent surveyor reviews and corrects. The researchers were clear that the AI is designed to complement QS professionals, not replace them, acting as a notification tool that alerts practitioners to discrepancies.
Tender analysis is moving in the same direction. AI can compare returns across multiple packages, flag outliers, identify where a contractor has priced unusually low or missed items entirely, and produce a summary in minutes. RLB, in a September 2025 paper on the future of the profession, described AI as a genuine enabler for comparison, analysis, and strategic recommendations, while also noting that large language models still struggle with numerical reasoning, a gap the paper expects to close as models improve.
Cost planning is the third area seeing real change. Gleeds uses its proprietary OCE Calculator and Orchestrate platform, with clients reporting up to 60% faster collection and reporting of portfolio data and a 30% improvement in budget reporting accuracy. Turner & Townsend's Hive platform processes millions of data points daily, benchmarking live performance against comparable projects and enabling 50% faster decision-making, according to the firm. Both platforms represent a shift from the QS as a manual data gatherer to an analyst who interrogates a system that does the heavy data lifting.
None of this makes the role redundant. The RICS AI in Construction 2025 report, drawing on more than 2,200 responses worldwide, found nearly 70% of project managers and QS professionals believe AI will help them deliver greater value. But only 1% of firms have scaled AI across projects. RICS's Head of Sustainability, Anil Sawhney, described the sector as being at a tipping point, noting that real progress depends on high quality data, a clear value case, organisational readiness, and leadership willing to champion responsible AI use.
What the RICS Standard Means for Your Practice
From 9 March 2026, the RICS Responsible Use of Artificial Intelligence in Surveying Practice standard is mandatory for every RICS member and regulated firm using AI in a way that has a material impact on the delivery of surveying services. For a quantity surveyor, material impact means AI outputs capable of influencing how the service is delivered. A cost plan produced with AI assistance would almost certainly qualify. So would a tender analysis summary that a partner relies on to advise a client.
The standard sets specific obligations:
- Maintain an AI risk register, reviewed quarterly
- Have a documented responsible use policy
- Assess fitness for purpose before deploying any AI system
- Disclose AI use to clients in the terms of engagement
- Record in writing the key assumptions, reliability concerns, and fitness of any AI output that materially affects the work, prepared under the supervision of of a qualified surveyor
This matters because AI outputs can be biased, incomplete, or simply wrong. The RICS standard explicitly references hallucinations, false or invented AI output, as both a limitation and a potential failure mode. For a quantity surveyor, an AI-generated quantity that is 10% out on a major building package is not a curiosity; it is a professional liability issue. The standard is designed to keep the professional, not the algorithm, accountable. The EU AI Act, now in force, reinforces this direction of travel at the legislative level.
"The aim is to put the profession on a more secure footing through upskilling and positive engagement with the technology, developing awareness and real understanding of why AI is being used within firm processes and how the technology is integrated in the delivery of services."
How to Become a Quantity Surveyor Today
How to become a quantity surveyor is a question with a slightly different answer now than it had five years ago. The technical foundations haven't changed: measurement, procurement, contract administration, and cost management remain core. But the digital layer is thicker. RICS apprenticeship routes into the quantity surveyor role sit alongside degree pathways, and both are seeing increasing integration of digital and AI skills. The CITB has begun incorporating AI awareness into apprenticeship frameworks, though uptake among experienced practitioners remains limited, according to Helium42's 2026 analysis of AI adoption in QS practice.
If you're researching how to become a quantity surveyor today, expect the role to require fluency in at least one AI-assisted takeoff or cost planning tool from day one. That doesn't mean becoming a software developer. It means understanding how AI-assisted measurement works, what its failure modes are, and how to validate outputs. The RICS standard requires that all members using AI have awareness of different AI types, their limitations, and the risks of erroneous outputs. That's a baseline competence requirement, not an advanced specialism.
For firms, the training investment is real. A small practice of five surveyors should budget £3,000–£8,000 in year one for training, with larger practices looking at £10,000–£25,000, according to Helium42's analysis. Software costs typically run £2,000–£8,000 annually per user. Return on investment generally materialises within 12 to 18 months through time savings on measurement and estimation.
The Advisory Pivot: Where the Real Value Is Now
RLB put it plainly: the profession is moving away from being technical "numbers people." As AI handles more quantification work, the competitive advantage for a chartered QS shifts toward strategic advice, contractual expertise, and client relationships: value engineering, lifecycle cost analysis, embodied carbon assessment, and procurement advice that requires understanding a client's risk appetite, not just their budget. In RLB's framing, the modern quantity surveyor must speak the language of engineers, planners, data scientists, and sustainability consultants.
Arcadis's Autumn 2025 UK Construction Market View and Mace's Q3 2025 UK Market View both showed tender price inflation running at 3.5–4.0% across most sectors, with labour costs and capacity pressures keeping prices elevated. Clients dealing with that environment are demanding more from their cost advisors, not less. A quantity surveyor who can give a credible view on where costs are heading, which procurement strategy minimises risk, and how to handle a variation claim under an NEC4 contract is not going to be displaced by an algorithm. A QS position built mainly around producing bills manually is far more vulnerable.
Currie & Brown's 2026 global construction costs report framed the challenge well: firms that want to stay relevant need to prioritise quality data, plan skills needs early, and use technology to improve productivity. Gleeds, Turner & Townsend, RLB, Arcadis, Mace, and Currie & Brown are all, to varying degrees, investing in data platforms, AI tooling, and staff development. Firms that treat the RICS standard as a compliance burden rather than a professional framework will lag behind.
Three Things to Do Now
1. Read the RICS standard. It's short, practical, and mandatory. If you're a quantity surveyor in a regulated firm, understand what "material impact" means for your specific work and what your firm's responsible use policy says. If your firm doesn't have one yet, that's a gap to fix before a regulator asks.
2. Try one AI tool on a real project. Measure an element by hand, then run the same job through an AI takeoff tool and compare the outputs. That exercise teaches more about where the technology is reliable, and where it needs oversight, than any CPD course. Document what you find; that documentation is also what the RICS standard expects.
3. Update your terms of engagement. If your firm uses AI in a way that has a material impact on the service you deliver, the RICS standard requires you to tell the client. Add a clear, plain-English disclosure. Clients generally respond well to transparency and badly to discovering AI was used on their project without being told. This is also the moment to clarify accountability: under the RICS standard, when an AI output turns out to be wrong, responsibility remains with the quantity surveyor, not the tool.
The quantity surveyor role is not disappearing. It's getting harder to do badly, and more interesting to do well.
Frequently Asked Questions
What is a quantity surveyor?
A quantity surveyor is a construction professional who manages project costs from design through completion, covering measurement, cost planning, tender analysis, procurement, and contract administration.
What does the QS position involve in 2026?
The QS position increasingly involves reviewing and validating AI-generated cost plans and takeoffs, advising clients on procurement strategy and risk, and ensuring compliance with the RICS Responsible Use of AI standard.
How to become a quantity surveyor?
Routes include an RICS-accredited degree or an apprenticeship pathway, followed by chartership (MRICS). In 2026, competence with at least one AI-assisted takeoff or cost planning tool is an expected baseline skill.
Is a quantity surveyor's job at risk from AI?
No. Routine measurement and bill preparation are increasingly automated, but the advisory, contractual, and strategic elements of the QS position are growing in value, not shrinking.
What is the RICS Responsible Use of AI standard?
A mandatory professional standard, effective 9 March 2026, requiring RICS members and regulated firms to maintain an AI risk register, assess AI tools for fitness of purpose, disclose AI use to clients, and document key assumptions and reliability concerns for AI outputs that materially affect their work.
The Responsible with AI programme helps architects, designers, and other built environment professionals develop practical frameworks for integrating AI tools responsibly.
