BX Blog

The 80/20 rule, or Pareto Principle, originated when economist Vilfredo Pareto observed that a small share of causes often produces the majority of results—like 20% of pea pods yielding 80% of peas, or 20% of people owning most of the land. Since then, it’s been applied to countless situations, including heavy construction, where 80% of business typically comes from long-standing customers—relationships often built and maintained over generations.

Just as people are beginning to grasp AI, a new concept—Agentic AI emerges, making it even harder to keep up. For those in construction or bulk materials, especially if past tech failures still haunt you, this new tech shift might feel overwhelming, but it's worth paying attention to.

Technology has entered the back office of construction and is now making its way to the job site. But reactions across the industry are mixed—ranging from interest to skepticism to unease.

Heavy civil construction plays a vital role in building essential infrastructure like highways, bridges, and dams. These complex projects require specialized skills, accurate planning, and effective resource management. However, contractors are facing growing challenges that can hinder project success and cut into profits.

Heavy civil construction involves large-scale public infrastructure projects like bridges and highways, while general construction focuses on private sector buildings such as offices and hospitals. Understanding the distinction is important for any project.

Drones are revolutionizing heavy civil construction by enhancing site management, becoming essential tools for improving project execution, monitoring, and more.

The construction industry has always relied on hard-earned skill and experience—but in today’s rapidly changing world, skill alone may no longer be enough. It's time to acknowledge and discuss what more is needed to succeed moving forward.

The construction industry is facing mounting pressure: rising costs, shrinking margins, stalled projects, and economic uncertainty due to tariffs, interest rates, and shifting infrastructure funding. At the same time, AI is rapidly changing how things are done—faster than many can keep up.