There’s a lot of conversation around artificial intelligence and what it might mean for our industry. Some see it as a silver bullet that will solve every challenge in construction, from cost control to carbon reduction. The truth, as always, is more practical. AI will not fix everything overnight, but it is already helping us to do better, to get more out of the tools and technologies we already use, and to work smarter, safer and more efficiently.

AI is best viewed as an ally. It is an assistant that helps us make sense of data, spot trends, and improve the way we plan and deliver projects. It can uncover connections in information that might otherwise be missed, allowing teams to make faster, more informed decisions. Used well, it can help us forecast risk, improve productivity, and even enhance the quality of what we produce.

Many of these capabilities are already in use. AI driven systems can analyse imagery from sites to identify safety risks before they become incidents. Machine learning tools can predict maintenance needs or delays, drawing on years of project data. In offices, AI is automating time consuming tasks such as data entry and reporting, freeing people to focus on the creative and collaborative parts of their job. These are not futuristic ideas, they are practical ways to improve how we work today.

But the technology alone is not the full story. Data quality, transparency, and ethics matter just as much. As the CIOB Artificial Intelligence Playbook notes, AI’s success depends on the information we feed it and the people who use it. We need to treat AI as a colleague, one that needs guidance, boundaries, and continuous learning. When used mindfully, it becomes a partner that complements human judgement rather than replaces it.

The potential benefits are considerable. Better forecasting and resource planning, more accurate designs, and quicker decision making all point towards stronger margins and more resilient businesses. For an industry often challenged by tight deadlines and thin profitability, that is an opportunity we should not overlook.

AI is not a revolution waiting to happen, it is an evolution already under way. The task now is to experiment responsibly, learn from each use case, and keep people at the centre of every decision. If we do that, AI will not just change how we build, it will help us build better.