The construction sector employs approximately 8% of the private sector workforce and accounts for about one in five deaths. This percentage has persisted for decades.
The sector also suffers from a shortage of people. Builders and associated contractors estimated It needs approximately 499,000 additional workers in 2026 to meet demand, with more than 80% of contractors reporting difficulty recruiting. The U.S. construction market will reach $2.2 trillion in 2025, according to a report Construction coverageThe pressure to deliver projects faster with fewer people is pushing companies toward automation.
Artificial intelligence (AI) vendors answer. Construction and infrastructure companies are deploying AI and computer vision tools directly into jobsite operations to detect safety risks, automate compliance monitoring, and coordinate field teams in real time.
Ferrovial deploys more than 30 agents across workflows
Ferrovialthe global infrastructure company behind highways, airports and tunnels across North America and Europe, is among the furthest companies. Company Spread out More than 30 AI agents in daily workflow using DXC Technology’s AI Workbench platform, built on Microsoft Azure. Agents make real-time decisions across field operations, safety monitoring, regulatory impact assessment and competitive analysis for Ferrovial’s 24,000 employees.
DXC Announce The platform was launched in April 2025 with Ferrovial as its main customer. This deployment represents one concrete example of agentic AI moving from pilot to production within a major infrastructure player.
DroneDeploy, whose reality capture platform is used in more than 3 million locations around the world, unveil Three operational AI drivers in October 2025: Safety AI for risk detection, Progressive AI for construction sequence tracking, and Inspection AI for predictive maintenance of assets. James StripeDroneDeploy’s chief product officer, said the agents process and reason about the data.
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Computer vision changes the compliance paradigm
The traditional approach to OSHA compliance on construction sites is based on manual safety paths. Safety personnel conduct periodic inspections, document violations, and file reports after accidents occur. This model has structural limitations. Traditional site walkthroughs miss up to 70% of transient safety violations due to the size and complexity of active worksites.
Computer vision systems are replacing this interactive model. AI cameras continuously scan locations for missing personal protective equipment; Workers entering restricted areas are exposed to fall hazards at unprotected edges. When a violation is detected, admins receive an alert in real time rather than after submitting an incident report. Each violation is recorded with a high-resolution image and timestamp, creating a digital audit trail for OSHA compliance and insurance verification.
Pose estimation models add a predictive layer. Instead of reporting a violation only after a worker reaches a dangerous location, these systems track body movement and joint angles to estimate the risk of a fall seconds before it occurs.
The business case extends beyond safety. Construction companies that invest in safety programs save approximately $4 to $6 for every dollar they spend. According to OSHA data. OSHA penalties for safety violations range from $15,625 to $156,259 per citation. And with 45% of companies Preparing reports Project delays caused directly by worker shortages, and tools that allow small teams to monitor larger sites have direct cost implications.
The construction industry has historically been slow to adopt new technology. Labor shortages and safety pressures are changing this calculus.
