Construction leaders have rarely been more optimistic about technology’s role in business performance.
Across the industry, executives increasingly view technology as a way to reduce costs, improve productivity, streamline operations and make better decisions. Technology is no longer viewed as simply a line buried in operating expenses; it’s now critical operational infrastructure to support growth, productivity and firm operational excellence priorities. According to Wipfli’s 2026 State of Technology in the Construction Industry survey, lowering costs, streamlining operations and improving decision-making ranked among the most valuable opportunities technology can provide.
The question is not whether construction firms should invest in AI, but whether they have built the technology foundation necessary to generate enterprise value from it.
What the Data Says
Recent survey findings reveal both growing enthusiasm for AI and persistent foundational technology challenges:
- 45% of executives are likely to invest in AI and machine learning in the next 12 months
- 45% identify employee struggles with technology as a top infrastructure challenge
- 41% report difficulty integrating separate systems and applications
- 69% experienced at least one cybersecurity incident during the past year
- 59% say their organizations have achieved extensive or full technology integration
- Yet only 30% qualify as highly mature technology organizations based on governance, integration, analytics and decision-making capabilities.
- Only 17% report that AI influences how they bid projects, staff work or differentiate their services in the marketplace
Taken together, the results suggest many firms are pursuing advanced technologies while still addressing the core issues that determine whether those investments create lasting business value.
Why are construction firms investing in AI while addressing foundational technology problems?
The construction industry’s interest in AI is understandable.
Companies are already seeing tangible benefits from automation, financial analysis, quality control and knowledge transfer applications. Of executives surveyed, 65% reported operational improvements from AI initiatives.
However, many organizations remain in the early stages of adoption. While 68% of respondents reported evaluating or testing AI tools, only one-third have established governance practices or measurement processes and just 17% have achieved full integration, in which AI directly influences business operations.
The challenge is that AI point solutions can receive attention even as firms continue to address fragmented systems, inconsistent data and technology governance issues. Those foundational challenges can limit an organization’s ability to scale AI initiatives, layer on new products and measure the impact of their investments.
What separates AI-ready construction firms from organizations simply adding more technology?
Technology adoption and technology maturity are not the same thing.
Technology adoption reflects how many tools an organization acquires. Technology maturity reflects how effectively those tools are governed, integrated and utilized to support business objectives.
The survey revealed one of its most important findings in the gap between those two measures. Nearly 60% of executives reported extensive or full technology integration, yet only 30% qualified as highly mature organizations under Wipfli’s technology maturity model.
That distinction matters because organizations with stronger technology maturity are often better positioned to generate returns from technology investments.
What makes a construction company AI-ready?
An AI-ready construction organization typically demonstrates four characteristics:
- Integrated business systems that share information across departments
- Reliable and accessible data that supports decision-making
- Technology governance that aligns investments with business priorities
- Defined processes for measuring business outcomes and technology performance
Without those foundations, AI initiatives often become isolated technology projects rather than accretive tools that improve organizational performance.
Why is system integration still one of construction’s biggest technology challenges?
For many construction firms, the obstacle is not acquiring more technology. It is making the existing technology stack harmonious.
Employees struggling to use current systems ranked as the industry’s top infrastructure challenge, followed closely by implementation costs and integration difficulties. Of executives surveyed, 41% specifically cited challenges integrating systems and applications.
Disconnected systems create operational inefficiencies, duplicate processes and inconsistent reporting. They also make it more difficult to establish reliable data sources for analytics and AI initiatives.
Organizations are often better positioned to generate value from technology investments when they connect systems, workflows and data in ways that improve how the business operates rather than simply expanding the technology stack.
Why are construction CFOs demanding stronger technology ROI?
As technology spending increases, executive scrutiny naturally follows.
Technology investments today involve much more than software licenses. They include implementation costs, change management, employee training, process redesign and ongoing support. Organizations can spend similar amounts on technology while achieving dramatically different business outcomes depending on adoption, integration and governance.
As a result, CFOs and executive teams are increasingly focused on measurable performance improvements rather than implementation activity alone.
Questions such as “Did productivity improve?” or “Did operations become more efficient?” are becoming more important than simply measuring how many applications were deployed.
The next phase of technology investment is likely to focus less on acquiring new tools and more on maximizing value from existing technology ecosystems.
How does cybersecurity affect AI readiness?
Cybersecurity is often discussed separately from digital transformation, but the survey suggests they are closely connected.
Of executives surveyed, 69% reported experiencing at least one cybersecurity incident during the previous 12 months. More than half reported one or two incidents, while larger organizations were more likely to report multiple cybersecurity incidents.
Every new application, data source, integration point and AI platform expands an organization’s risk profile.
That is why cybersecurity increasingly depends on the same disciplines that support technology maturity: governance, standardization, visibility and oversight. Firms that treat cybersecurity as an ongoing component of business strategy rather than a standalone IT initiative are often better positioned to manage both operational risk and the adoption of future technologies.
What should construction leaders prioritize before investing in additional AI tools?
Construction leaders do not need to pause AI investments.
However, they should pay equal attention to the technological environment that supports those investments.
Before expanding AI initiatives, firms should evaluate whether they have:
- Integrated systems that reduce manual work and data silos
- Governance structures that support consistent technology decisions
- Reliable data sources that can support analytics and automation
- Processes for measuring business outcomes rather than implementation activity
Organizations often create more value by strengthening existing technology foundations than by adding another application to the stack.
What is the biggest technology lesson for construction leaders in 2026?
The lesson from this year’s research is straightforward.
AI will not overcome disconnected systems, poor data quality, weak governance or low employee adoption. Those challenges remain among the most significant barriers to technology success across the construction industry.
The firms positioned to gain the greatest competitive advantage from AI will not necessarily be the ones adopting the most tools. They will be the organizations that first strengthen integration, improve data quality, embed cybersecurity into technology governance and align technology decisions with business objectives.
Technology spending may continue to rise. But the organizations best positioned to outperform over the next decade are likely to prove a different point: Technology maturity, rather than technology spending alone, is what creates lasting competitive advantage.
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