The London Borough of Harrow has implemented a digital twin using drone technology to reduce maintenance costs and enhance public space engagement. This initiative offers cost-effective solutions and improved efficiency for the AECM industry, with plans to expand its capabilities further.
As AI data center projects multiply, understanding contract risks and terms is critical for AECM professionals to avoid delays and cost overruns.
Dextall's robotic welding platform triples facade component production speed by standardizing steel hooks before automation. This approach offers a scalable blueprint for construction automation, improving quality and cost control amid labor and material challenges.
AECOM's $390 million acquisition of Norwegian AI startup Consigli AS aims to boost AI-driven productivity in architecture, engineering, and construction. The deal addresses longstanding digital transformation challenges caused by industry variability and fragmentation. Janne Aas-Jakobsen leads AI En
Tilhill Forestry is trialing PlantMax automation to improve planting speed, consistency, and safety across UK forestry sites, aiming to support woodland creation targets.
Mariana Minerals partners with Pronto to deploy autonomous haulage trucks at its Copper One mine in Utah. Integration with Mariana's MineOS enables fully automated vehicle dispatch and routing, signaling a major step in mining automation for the AECM industry.
A new CMiC and Dodge Construction Network survey finds 85% of construction professionals optimistic about AI's role in improving project management, safety, and cost control. Firms are accelerating AI adoption, signaling a shift toward data-driven operations across the AECM sector.
Canva acquired AI platform Simtheory and marketing automation firm Ortto to enhance its design and marketing tools. These acquisitions aim to streamline workflows and customer engagement, impacting project management and marketing in the AECM sector.
Anthropic's Project Glasswing aims to prevent misuse of AI language models by monitoring outputs and restricting access, but challenges remain. This initiative highlights the growing importance of AI safety for AECM professionals relying on generative AI tools.
