A recent survey by Ramsey Theory Group reveals that AI tools are significantly reducing labour hours and costs in construction, though widespread adoption remains cautious and varied across firms.
Ramsey Theory Group (RTG), an applied-mathematics-driven software and AI innovation company, has shared findings from a recent survey that suggest artificial intelligence (AI) is having a notable impact on productivity and cost reduction in the construction and field-service i...
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ndustries. The company’s October 2025 survey of 100 enterprise contractors across various sectors, including environmental remediation, general contracting, HVAC, electrical, and plumbing, indicated that AI tools can reduce labour hours and end-consumer costs.
According to the announcement, 62% of surveyed contractors reported that AI-enabled workflows in scheduling, dispatch, and job costing cut labour hours by at least 15% on typical jobs. Additionally, more than half said they were able to quote jobs at lower margins while maintaining profitability, resulting in direct savings passed to consumers. Nearly 70% noted job completion times were shortened by an average of 18%, helping reduce overhead and related cost pressures.
Dan Herbatschek, CEO of Ramsey Theory Group, emphasised that these productivity gains are translating into more competitive pricing and fewer surprises in project execution. He described the shift as moving contractors from reactive to predictive operations, with AI-driven analytics improving transparency and reducing the risk of cost overruns. The firm highlighted its flagship platform, Erdos Tracks, as central to enabling these efficiencies through real-time dashboards and analytics.
These findings align with broader industry trends, as reflected in other recent studies. For example, a survey by the Association for Project Management and Censuswide published earlier in 2025 found that 75% of construction professionals reported AI use in projects, with significant improvements noted in resource allocation, reporting, and risk forecasting. Similarly, a construction management software provider stated that AI tools could mitigate critical labour shortages by automating time-consuming processes such as material takeoffs and scheduling.
Industry reports also suggest cautious optimism about AI’s impact on jobs within construction. The Associated General Contractors of America noted in 2024 and 2025 surveys that while many expect AI and robotics to enhance productivity and safety by automating manual, error-prone tasks, a minority remain concerned about potential job losses. The 2025 survey found about 12% anticipate negative impacts on jobs due to automation, whereas over 40% expect positive outcomes for work quality and safety.
However, despite growing interest and investment in AI technologies, as highlighted by the Royal Institution of Chartered Surveyors, which reported increased AI funding in construction, actual widespread AI adoption remains uneven. Nearly half of organisations surveyed reported no current AI implementation, with many only in pilot stages. This suggests a period of cautious experimentation even as firms explore AI’s transformative potential.
Industry analysis forecasts substantial productivity and cost-efficiency gains through AI adoption by 2030, with estimates of up to 15% cost reductions and significant improvements in project scheduling, maintenance, and error reduction. The Ramsey Theory Group’s survey results contribute to this evolving picture by providing specific examples of AI’s operational impact within enterprise contractors using its platform.
In sum, while AI’s promise in construction is increasingly recognised, practical deployment varies across firms and projects. Ramsey Theory Group’s survey adds to growing evidence that AI can shorten job timelines, reduce labour input, and lower costs for consumers, though the industry continues to balance innovation with cautious implementation amid concerns about jobs and integration challenges.
Source: Noah Wire Services
