I'm 19, a trainee Quantity Surveyor at CSQS, and I'm pursuing the five-year degree apprenticeship route to MRICS. I'm building toward one specific job: the surveyor who can cost a data centre — and model the carbon it takes to build one.
Quantity surveyors describe buildings elementally — substructure, superstructure, services. It's how I think about my own direction too. Everything above bears on what's below.
The degree apprenticeship route to MRICS: real projects and structured competency, learned inside a working practice. This is the spine of everything; the specialism and the technology sit on top of it, not instead of it.
The AI infrastructure boom and the industry's carbon challenge intersect in one building type. I'm building toward being able to cost a data centre and model its whole-life carbon — two skill sets the market rarely finds in one person.
Data-driven cost consultancy: digital measurement, Excel and Power BI, cost databases that compound. The next generation of QS won't just report numbers — they'll build the systems that produce them.
The buildings that power AI need costing. The AI that powers costing needs building. I want to work on both sides of that loop.
Construction is one of the least digitised industries on earth, and cost data is its most under-used asset. Every takeoff, every tender return, every final account is a data point — and most practices let them evaporate. The surveyor who structures that data ends up giving better advice than the one who starts every project from a blank sheet.
AI doesn't change what a QS is for — judgement, measurement discipline, commercial advice. It changes how much of the mechanical work stands between a surveyor and that judgement. Building AI systems for QS work has taught me where the line sits: the model does the takeoff arithmetic; the surveyor decides what the number means.
I keep a working framework for how I build AI systems that have to do real work — six factors that all have to be in place before the output can be trusted.
Read the RIGHTS framework →The built environment is about to absorb two enormous forces at once: an AI infrastructure boom that needs data centres built at unprecedented pace, and a carbon accounting reckoning that changes what "cost" even means. Both land on the quantity surveyor's desk.
I'm 19. I chose the apprenticeship route deliberately — five years of real measurement, real tenders and real clients while studying, rather than theory first and practice later. By the time I sit my APC, I want the specialism already built underneath it.
If you work in data centres, carbon, or cost consultancy — I'd genuinely like to hear from you.
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