Faster hiring alone will not fix construction’s productivity problem

Adding more workers into fragmented projects without improving coordination may create new inefficiencies.

Singapore’s decision to accelerate the hiring of migrant construction workers from 2027 could not come at a more critical time. Demand for infrastructure, housing and redevelopment projects remains strong, whilst contractors continue to grapple with labour shortages that have constrained delivery timelines since the pandemic.

At first glance, faster hiring appears to be the obvious solution. More workers should mean faster completion, improved productivity and fewer project delays.

But construction’s productivity problem has never been purely about manpower.

In fact, adding more workers into already fragmented project environments without improving coordination may unintentionally create a new set of inefficiencies. More people on site means more subcontractors to manage, more approvals to process, more documentation to track and more communication points across increasingly complex delivery chains.

Without the right systems in place, projects do not necessarily move faster when teams expand. Sometimes, they slow down.

The coordination challenge behind construction delays
This is the paradox facing modern construction. The industry is scaling its workforce at the same time projects are becoming harder to coordinate. As a result, the real competitive advantage is shifting away from labour capacity alone towards the ability to manage information, communication, and decision-making in real time.

That is why AI and digital project management tools are rapidly becoming essential infrastructure for construction firms.

Construction has long operated through fragmented workflows. Site instructions are exchanged through phone calls. Variation requests sit inside email chains. Approvals are delayed because the right stakeholder cannot be reached quickly enough. Teams on-site and in the office often work from different versions of the same information.

When projects involve hundreds of workers across multiple contractors and consultants, these inefficiencies compound quickly.

A delayed approval on a single change request can halt several downstream activities. Missing documentation can trigger disputes over accountability. Time spent reconstructing project history after issues emerge becomes time taken away from actual delivery.

The problem lies with a lack of visibility.

Why AI is becoming essential on construction sites
These are the kinds of problems artificial intelligence (AI) is well positioned to solve.

AI is not replacing project managers, engineers, or site supervisors. Instead, it is increasingly handling the repetitive administrative burden that slows projects down. Digital platforms can now automate approval workflows, consolidate project communication, track changes in real time and surface critical information instantly.

This has major implications for project delivery. When approvals are routed automatically to the correct stakeholders, response times improve. When documentation is centralised within a single system, disputes become easier to resolve. When project managers gain real-time visibility into delays, cost impacts and outstanding actions, they can intervene before problems escalate.

The cumulative impact is significant: Less time spent chasing information and more time spent moving projects forward.

AI’s role in managing mid-project changes
AI is also streamlining inspections and reporting processes that have traditionally consumed substantial amounts of manual effort. Site teams can now capture progress digitally through mobile devices, photographs, and structured workflows that automatically generate reports and maintain audit trails.

Some AI-enabled systems can even analyse construction contracts to identify obligations related to change orders, notification periods or delay claims, allowing teams to respond faster and reduce commercial risk.

This matters because keeping projects on schedule has become increasingly difficult in an environment where timelines are compressed and project complexity continues to rise.

Singapore’s construction sector is a prime example. Urban density, complex infrastructure requirements, and overlapping trades already create high coordination pressure. Faster hiring will help alleviate labour shortages, but it will also increase the number of moving parts that project teams must manage simultaneously.

In other words, the industry’s next bottleneck may no longer be workforce availability. It may be coordination capacity.

The future of construction depends on better collaboration
Construction firms that continue relying on fragmented communication methods may struggle to fully benefit from expanded labour access. Meanwhile, firms that invest in AI-enabled coordination systems will likely be better positioned to integrate larger teams efficiently whilst maintaining project control.

The lesson is clear: More workers alone will not guarantee faster delivery.

As Singapore prepares for the next phase of construction growth, the conversation should not focus solely on how quickly the industry can hire. It should also focus on whether project teams have the digital tools needed to manage growing complexity at scale.