Why Construction Job Openings Are Surging—and What It Means for Preconstruction Teams
In May, U.S. construction job openings hit a 10-month high, according to the Bureau of Labor Statistics. Good news, right? Not entirely. While demand for projects is booming—data centers, infrastructure, residential builds—the labor market is stretched thin. Skilled workers aren't growing on trees. Estimators, project managers, and schedulers are feeling the heat just as much as field crews.
The Ripple Effect on Preconstruction Teams
Here's the problem: when labor shortages hit, everything slows down. Estimators can't keep pace with bidding deadlines, especially for mid-sized and regional general contractors (GCs). A 2023 McKinsey report noted that smaller firms lose a significant percentage of potential bids due to inefficiencies in preconstruction workflows. And it's not just about losing bids. The ones they do submit often miss the mark—poor scope coverage, pricing errors, or late submissions.
This creates a vicious cycle. Fewer wins mean tighter budgets, fewer resources, and even greater reliance on manual processes. Meanwhile, top GCs have embraced AI-driven tools to speed up takeoffs, rate lookups, and sub bid leveling. They're thriving while smaller players struggle to compete.
AI: A Practical Solution to Preconstruction Bottlenecks
One specific bottleneck is drawing takeoffs—the bread and butter of any estimator's workflow. Manual takeoffs from PDF drawings can be time-consuming, especially for larger projects. And that's assuming no revisions come in mid-process.
This is where AI-powered tools come in. These tools can extract quantities from PDFs, such as room areas, wall lengths, or door/window counts, automating repetitive tasks. Plus, they often flag low-confidence measurements for manual review, ensuring accuracy.
Why it matters: Faster takeoffs mean estimators can respond to more bids, even with limited staff. A team that could only handle a limited number of GMP pursuits per year can now aim for more. More bids equal more chances to win.
The Skilled Labor Problem: It's Not Just Field Workers
According to the Construction Labor Market Analyzer, the U.S. is facing a decline in skilled construction professionals over the next five years. This includes estimators, schedulers, and project managers—not just field crews. When preconstruction teams are understaffed, the opportunity cost is significant.
Take rate lookups as an example. Flipping through massive rate books like RSMeans or CPWD DSR takes hours per estimate. Semantic search tools in AI platforms can cut this down significantly, allowing estimators to match rates faster and with better accuracy.
In my view, this isn't just about efficiency; it's about survival. Smaller GCs can't afford to waste their estimators' time on tasks technology can handle in minutes.
How AI Levels the Playing Field for Mid-Sized Firms
There's a reason big GCs are winning more bids—they're faster, period. AI tools give smaller and mid-sized firms a chance to compete. For example, sub bid leveling is a complex task without automation. Normalizing scope across multiple subcontractor quotes can take hours manually, especially if you're juggling spreadsheets. AI-powered leveling tools streamline this process, ranking bids and enabling quicker decision-making.
More importantly, AI solves the "what-if" problem. Changing one rate in Excel often means rebuilding the entire workbook. AI-powered platforms propagate changes instantly with a full audit trail. This flexibility lets estimators run multiple scenarios quickly, responding to client requests without blowing deadlines.
Common Mistakes Preconstruction Teams Make During Labor Crunches
- Ignoring Automation: Teams stick to manual processes because "we've always done it this way." But that's not sustainable when skilled labor is scarce.
- Overloading Key Staff: Estimators end up juggling too many bids, leading to lower-quality submissions.
- Underestimating AI: Many teams don't trust AI tools, assuming they'll make mistakes. But platforms that provide transparency—flagging uncertain matches and allowing manual overrides—can build trust.
- Late Hiring: Teams wait until workloads spike to hire new estimators. Prebooking staff during the off-season can mitigate crunch periods.
FAQ: Tackling Preconstruction Challenges During a Labor Shortage
Q: How can smaller GCs compete with top players?
A: Speed is critical. AI tools for takeoffs and semantic search for rate matching help smaller teams work faster without compromising accuracy.
Q: Are AI tools reliable for estimating?
A: They are if the platform provides transparency. For example, some tools flag low-confidence matches for manual review, so you're not blindly trusting the machine.
Q: How do AI tools handle drawing revisions?
A: Many platforms let users upload revision sets and compare changes automatically. This prevents errors from missed updates.
Q: What if my team doesn't trust AI?
A: Start small—use AI for repetitive tasks like takeoffs or rate lookups. Once your team sees the accuracy, they'll trust the system for bigger workflows.
The Bottom Line
Construction job openings hitting a 10-month high is great for the industry, but labor shortages are creating bottlenecks for preconstruction teams. AI tools are no longer optional—they're essential. If you’re struggling with takeoff bottlenecks, missed bids, or labor crunches, exploring automation solutions could be a game-changer for your team.
