Skip to main content

Investment in construction automation is essential to rebuilding US infrastructure

With the United States moving all-in on massive infrastructure investment, much of the discussion has focused on jobs and building new green industries for the 21st century. While the Biden administration’s plan will certainly expand the workforce, it also provides a massive opportunity for the adoption of automation technologies within the construction industry.

Despite the common narrative of automating away human jobs, the two are not nearly as much in conflict, especially with new investments creating space for new roles and work. In fact, one of the greatest problems facing the construction industry remains a lack of labor, making automation a necessity for moving forward with these ambitious projects.

In fact, one of the greatest problems facing the construction industry remains a lack of labor, making automation a necessity for moving forward with these ambitious projects.

The residential construction industry alone had some 223,000 and 332,000 unfilled construction job vacancies at the peak unemployment rate of 15% in 2020, but that’s actually about the same when unemployment was only at 4.1%. Between 1985 and 2015, the average age of construction workers increased from 36 to 42.5, while those aged 55 and older increased from 12% to over 20%. The 2018 Population Survey conducted by the Census Bureau found that workers under 25 comprised just 9% of the construction industry, compared to 12.3% of the overall U.S. labor force.

Productivity in the construction industry has likewise remained static since 1995, primarily driven by the aging demographic of the existing labor force, the apprenticeship nature of the job, and difficulty in attracting and retaining new workers. In short, there is insufficient labor to do the job, while existing staff are becoming increasingly less productive as skilled workers that have accumulated decades of experience in their crafts are lost due to retirement.

Automation will need to be a key element of any major infrastructure push, especially if we hope to meet the ambitious goals of current proposals. That being said, not all areas of the construction industry are primed, or even viable, for this shift to automation.

The challenges of construction automation

Construction is one of the world’s largest industries but has two major challenges: market fragmentation and complex stakeholders.

The construction industry as a whole is nationally fragmented but occasionally locally concentrated. This differs depending on the segment and type of construction company, with each generally comprising less than 10 workers. The top 100 general contractors account for less than 20% of the total construction market. Subcontractors are even more fragmented, with top players accounting for less than 1% of the total market share. This makes sales processes and scaling very slow and highly inefficient.



from TechCrunch https://ift.tt/3xzKkZt
via IFTTT

Comments

Popular posts from this blog

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT