AI Takeoff Is Becoming the Estimator’s Second Brain

The construction industry is facing a serious workforce gap. In the U.S., nearly 454,000 additional workers are needed in 2025, according to the Associated General Contractors of America. At the same time, 92% of construction firms report difficulty hiring qualified workers. With over 20% of the workforce above age 55 and fewer than 3% of young people considering construction careers, both field and preconstruction teams are under pressure.

This is why modern AI-based takeoff software is no longer just a productivity tool. It is quickly becoming the estimator’s second brain.

Historically, estimators spent more than 50% of the bid cycle manually tracing drawings, counting elements, and recalculating quantities. AI-driven estimating software is changing that. Intelligent takeoff software can now recognize plan elements such as scope notes and key symbols, extract quantities automatically, and flag scope gaps before they become costly mistakes. This shift allows teams to handle more work without adding headcount, directly helping companies navigate the labor shortage.

Henry Greenberg from Guardian Roofing explained this shift clearly, while talking about Beam AI, the ONLY AI-based 100% automated takeoff software:

“With Beam AI, it was 5 takeoffs, and the software was trained. You still need to review everything because this is a junior estimator. You still have to be able to put in your numbers. But now a bigger part of time is spent with customers and making sure we are fulfilling their needs.”

How AI Takeoff Works Alongside Estimators?

The real value of AI is not replacing people, but supporting them. Tools like Beam AI are commonly used alongside existing estimating software, helping teams automate takeoffs while keeping their pricing and labor workflows intact.

Instead of raw measurements, estimators receive structured, trade-organized outputs with clear line items, verified quantities, and editable fields. As James Hinsperger of Sidian.ai shared, “AI can do 80% of the work in 20% of the time, but the human-in-the-loop is critical.”

That balance is what makes modern takeoff software feel like a true second brain.