Slate Technologies released its first annual Construction Intelligence study on June 24, 2025, surveying 1,000 C-level and senior management professionals across construction, machinery and real estate. The report highlights a striking disconnect: while 60% of respondents feel the industry is keeping pace with rapid technological change, 65% admit their firms have not yet implemented AI or predictive analytics for project planning and decision-making.
Rising material costs topped the list of constraints, cited by 53% as a major pressure on timelines and budgets. Labor shortages and unreliable data tools were also identified as significant hurdles. Fewer than one in five executives expressed strong confidence in their ability to prevent schedule overruns and cost escalations.
Trevor Schick, CEO of Slate Technologies, stressed that “unlocking efficiency through AI is no longer optional but essential for competitiveness.” He observed that many organizations remain stuck in pilot phases due to operational barriers and insufficient training programs.
By establishing this annual benchmark, Slate aims to track progress over time and encourage greater investment in AI-powered forecasting, risk management and productivity tools. The study outlines clear roadmaps for firms seeking to bridge the AI adoption gap, urging industry stakeholders to prioritize infrastructure upgrades, data literacy and strategic partnerships. As construction faces mounting economic and environmental challenges, the report makes a compelling case for AI as a catalyst for resilience and growth.
