• • • AI • • •


AI WON’T REPLACE ELECTRICAL


ENGINEERS, BUT IT WILL CHANGE HOW THEY WORK


requirements and provide greater transparency while businesses continue to face skills shortages and commercial pressures. Many organisations still rely on fragmented


BY KEVIN BIRD, CEO, SHOCKING ENERGY A


rtificial intelligence has quickly become one of the most talked-about technologies across almost every industry, and


electrical engineering is no exception. While much of the public conversation has


centred on whether AI will replace jobs, the reality is far more practical. AI is not about replacing qualified engineers; it is about giving skilled professionals better tools to manage increasingly complex projects, reduce administration and make more informed decisions. Electrical engineering has evolved rapidly. The


growth of renewable energy, EV charging infrastructure, battery storage and smart buildings has created new opportunities but also greater complexity. Engineers are expected to deliver projects faster, meet stricter compliance


processes. Engineers switch between multiple systems, duplicate information and spend valuable time producing documentation, while office teams repeat the same work by checking paperwork, updating records and compiling reports. These inefficiencies are rarely the result of poor engineering; they are the consequence of workflows that have not kept pace with the industry. As project volumes continue to increase, particularly within the renewable energy sector, these inefficiencies begin to affect productivity, profitability and ultimately the customer experience.


Creating smarter, more


connected operations The real value of AI lies in connecting these processes. Rather than acting as another standalone piece of software, AI can support every stage of a project, from planning and scheduling


16 ELECTRICAL ENGINEERING • JULY/AUGUST 2026


through to compliance, reporting and asset management. Instead of relying on disconnected systems, engineering businesses are increasingly adopting intelligent platforms that create a single source of operational truth, allowing information to flow seamlessly between engineers, office teams and customers. Intelligent workflows adapt to different projects,


ensuring engineers have the right information while reducing errors and duplication. AI can also optimise scheduling by matching work to engineer competencies, accreditations, location and availability, improving productivity and reducing unnecessary travel. Perhaps AI’s greatest strength is consistency.


Intelligent workflows can ensure mandatory photographs, certificates, inspections and compliance checks are completed before work is signed off, embedding quality assurance into the delivery process rather than relying on retrospective audits. This not only strengthens compliance but also gives customers, principal contractors and regulators greater confidence that work has been completed to a consistent standard.


electricalengineeringmagazine.co.uk


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48