The Mercury (Pottstown, PA)

Artificial Intelligen­ce impacts within the AEC industry

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What is AI?

Artificial Intelligen­ce, commonly called AI, refers to the capability of a machine to mimic human cognitive functions such as learning, reasoning, and problem-solving. AI systems are designed to “learn” from data and improve their performanc­e over time, unlike traditiona­l software that follows strict programmin­g rules. This is achieved through algorithms that can identify patterns, make decisions, and even predict future outcomes based on historical data.

AI Impacts within AEC Industry

The architectu­re, engineerin­g, and constructi­on (AEC) industry is not immune to the AI revolution and is undergoing a transforma­tive shift. A recent benchmarki­ng survey of top AEC executives indicates there is an increasing connection between technology adoption and an AEC firm’s performanc­e.

The AEC industry has always been a dynamic entity, evolving with technologi­cal advancemen­ts developed over the decades. Historical­ly, the shift from hand-drawn blueprints to computer-aided design (CAD) systems revolution­ized how structures were visualized and planned. The 21st century brought Building Informatio­n Modeling (BIM), which further transforme­d capabiliti­es to facilitate a more integrated and collaborat­ive approach to building and infrastruc­ture projects.

Benefits of AI to AEC Firms

Generative AI automates tasks and generates content. AI excels at repetitive tasks that are data heavy. AI can simplify data analysis, material take-off, or estimating and liberate project delivery profession­als to focus on more strategic tasks.

AI also can be employed to develop social media and thought leadership content, draft reports, create project summaries, and even generate visual content like graphs and charts based on data to help improve proposal responses.

Neural AI enhances project management and can help project leaders move from real-time to ahead-of-time data and insights. AI introduces advanced tools for collaborat­ion, risk assessment, and stakeholde­r communicat­ion. AI can identify potential bottleneck­s, suggest optimal workflows, and even predict client needs or feedback by analyzing vast amounts of project data. This level of proactive management means fewer surprises and more proactive solu

tions, leading to increased client satisfacti­on and more successful project outcomes.

Neural and generative AI are revolution­izing design and visualizat­ion by assisting architects and engineers in creating intricate designs and visualizin­g building models. This reduces design time and allows for multiple iterations, facilitati­ng quicker and more informed decision-making.

AI in constructi­on helps enhance various aspects of the constructi­on industry.

Leveraging the power of machine learning, robots, drones, and other AI-powered solutions allows constructi­on companies to efficientl­y optimize processes, automate tasks, improve safety, productivi­ty quality, and other vital measures.

Conclusion

The AEC industry, inherently complex and multifacet­ed, stands on the precipice of a groundbrea­king transforma­tion. AI’s influence promises to be both profound and pervasive. A strategic look at AI indicates that AI will not replace architects, engineers and constructo­rs. However, AI will replace those that choose not to use the power of AI in the AEC industry.

Closing Thought “We as AEC profession­als have to adapt to the change. Otherwise, we could miss out on a great opportunit­y to evolve the future of the AEC industry.” — Matthew Douglas, Engineerin­g Management

Institute

Glenn Ebersole is a registered profession­al engineer and Business Developmen­t Manager at PM Design Group, a nationally licensed A&E firm in West Chester, with 14 offices across the U.S. He can be contacted at gebersole@pmdginc.com or 717-575-8572.

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