AI and Electrical Estimating: Current Trends and Future Possibilities Podcast Discussion

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by Paul Wheaton
October 24, 2024

Read Time: Less than 2 Mins
Last Modified: October 24, 2024

McCormick President Paul Wheaton appears on a recent episode of Today’s Electrical Estimating, a popular podcast hosted by Chris Trommer and Sal Huerta where they chat with leading electrical estimating experts to share industry insights and trade-specific tips.

The focus of the episode revolves around AI, its current applications in estimating and all its potential future possibilities. Paul, Chris and Sal highlight a few possible use cases for AI and help ease common concerns.

Key Takeaways:

  1. Leverage AI to Spend Less Time on Tedious Tasks

Wheaton mentions one of the main AI functions he’s exploring involves streamlining the takeoff process.

In this case, AI would be used to identify trade-specific materials and their counts in a matter of seconds. saving estimators valuable time during the takeoff process.

Additionally, they could use this information to generate more precise calculations — maximizing project efficiency and profitability.

  1. Take on More Projects With AI

By reducing time spent on takeoff, AI empowers estimators to take on more projects at one time. Estimators can use their reclaimed time, and the precise information provided by AI, to build better estimates and more compelling bids.

Ultimately, with the help of AI, estimators can grow their business faster by taking on more projects simultaneously.

  1. Think of AI as a Digital Co-Worker

Right now, Wheaton’s focus is on leveraging AI to simplify takeoff. He says one way to think about AI is like adding a digital coworker to your workforce.

He assures that estimators are still going to play a crucial role in the estimating process because they’re needed to verify calculations, materials needed, prices and labor factoring.

Recent advancements in AI may seem overwhelming, but Paul Wheaton, Chris Trommer and Sal Huerta are here to help you gain a better understanding of AI and its potential applications. Click here to watch the entire episode on YouTube.

Guests: Paul Wheaton

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