Work zone fatalities have gone up in the United States, according to the most recent numbers from OSHA (Occupational Safety and Health Admin.) with more than 898 deaths and 40,000 injuries estimated in 2023. This represents a 50% increase in work zone fatalities reported between 2013 and 2023. This is simply unacceptable.

Can emerging technologies like AI (artificial intelligence) help? Of course, if implemented correctly. AI-powered safety tools are increasingly being deployed to reduce risk by improving visibility, identifying hazards earlier, and assisting workers and equipment operators with better situational awareness. Unlike traditional safety tools that rely solely on human observation, AI systems can continuously monitor jobsites, analyze patterns, and alert workers to potential dangers before they result in incidents.

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Developers use Flow to give coding agents the context they actually need. Researchers use it to describe experiments in full detail. Everyone uses it to stop bottlenecking their AI workflows.

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As most know, AI (artificial intelligence) is rapidly moving from experimentation to implementation. For construction—an industry often challenged by tight margins, schedule pressures, labor shortages, and safety concerns—AI represents an opportunity to improve productivity.

Here’s the challenge: Successful AI adoption requires more than simply purchasing new software. This is precisely the reason we are starting a new blog series aimed at answering one key question: AI is here, now what? In the next few weeks, we will walk through a step-by-step guide for AI implementation. The first step we will explore in today’s blog is identifying where AI can create value while understanding the risks and limitations that come with it

Looking to sponsor an upcoming segment of The Peggy Smedley Show? Check out the exciting topics planned for the coming months and send your ideas to [email protected]

October: How to Secure Your Data
November: Construction Connectivity Trends to Watch

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