BUSINESS ISSUES
AI Tools conversations, the firm achieved a 20 % reduction in incidents in the first year and 50 % in the second, demonstrating a tangible return on investment despite broader industry hesitation.
Recent developments also underscore slow but steady progress. OpenAsset’ s July 31, 2025, report on top AI innovators lists 50 companies transforming construction with tools focusing on estimating, scheduling and safety— growing the market by 24.6 % annually from $ 4.86 billion in 2025 to a projected $ 22.68 billion by 2032.
Oracle’ s February 2025 update points out AI’ s potential for“ predictive insights to help improve design, build and maintenance,” potentially saving millions through schedule optimizations. Yet, as Roland Berger’ s June 2025 insights reveal, adoption often hinges on intuitive tools such as 3D model-based systems, which can save teams 40 % in time and keep 70 % of projects on schedule.
Looking Ahead
CCN’ s survey paints a picture of an industry in transition— excited about AI’ s possibilities but proceeding with caution. As one respondent noted,“ We’ re dipping our toes in with basic predictive tools for equipment downtime, but full integration feels like a big leap.” This sentiment is echoed industry-wide, with experts such as those at Slate. ai warning that firms delaying adoption risk falling behind.
In today’ s fast-evolving business landscape, agentic AI— autonomous systems that act independently to handle complex tasks— is reshaping operations in crane and construction industries. These sectors, often bogged down by operational demands such as equipment management and supply chain disruptions, face unique challenges in adopting AI.
The message is clear: Act now by starting small, focusing on highimpact areas such as safety and scheduling and leveraging resources from trusted networks to harness AI’ s potential without overwhelming your teams. As AI evolves, early movers will gain a competitive edge, turning limited adoption into an industry standard.
of respondents believe AI could significantly improve efficiency in areas such as scheduling and risk management.
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24 l November-December 2025