Much of the valuable information is lost because councils can’t consume the 3D designs and BIM models created by architects and engineers.. From this point, the information goes to the local planning authority.

Working in this way has also given us a lot of scope in terms of choosing what sort of team we want to be, to evolve sometimes according to the individuals who join the team, and to decide our own overall development path – but we’ve always been tethered strongly to the core intellectual drive of the company.. What is your position on AI/generative design/automation in construction/robotics in construction?.AI relies on large data sets.

These aren’t typically available in our sector so the use of AI in construction has been somewhat limited by that.Examples of AI are often narrowly defined and only really touch a very specific part of the overall process; the part for which large data sets do exist.. ‘Generative design’ means many things, but generally it’s an approach used in the industry to solve complicated problems; you use generative design to create loads of possible solutions or scenarios, from which you choose the best..The Design for Manufacture and Assembly (DfMA) approach that we have in Bryden Wood – which is embedded in Creative Technologies – means that something like generative design can be more powerful, as it can be built around design rules and content that’s inherently more clearly defined..

When people in the industry talk about cutting-edge construction technologies, these are usually buzzwords about things that are not widely in use, generally misunderstood and unlikely ever to deliver the advertised benefits – because they’re not appropriate solutions and our industry is too far from ready.It’s good that people talk about construction tech – that creates an environment broadly open to tech – but that’s not the same as being able to actually use it..

In our team, we only ever apply technology when it is appropriate to the problem at hand.

We have never, for example, had to use a Machine Learning solution, because we’ve never had a problem that it’s been the right technology for..some developed for the defunct space shuttle programme), but these are currently 100x the cost.

This rise in density is driving DCs to be all about the utilities, with processing space representing a very small percentage of each development.. With both a rapidly evolving technological marketplace and long project lead times, the same dilemma between customers and infrastructure builders about the timings of decision making is amplified..The developer needs decisions as early as possible to design, secure power, step through regulatory hurdles and source long-lead components; while the customers want to be able to wait as long as possible to read the market.

Maintaining optionality, speed and cost effectiveness is a problem requiring new solutions.. On top of these challenges there are further known unknowns in the picture: the impact of the move from training AI to the distribution of AI Quantum computing..The power problem.