AEC organizations are no strangers to technological change. From computer-aided design and BIM to cloud platforms and connected project management systems, the industry has continually adopted new tools to improve how work is delivered.

McKinsey suggests that AI represents a different kind of opportunity because of its potential to connect knowledge work, coordination and physical execution in ways that previous technologies could not.

Rather than simply making individual tasks faster, AI could help organizations redesign entire workflows across estimating, design, engineering, procurement, construction and project controls.

Consider the example McKinsey uses to illustrate this shift. A late engineering change creates a conflict with prefabricated materials on a construction site. Today, resolving that issue might require days of communication, drawing reviews, RFIs, procurement checks and schedule adjustments.

In a more connected, AI-enabled workflow, intelligent agents could gather relevant project information, identify potential solutions and present the implications for cost, scheduling and execution. Human experts would remain responsible for evaluating the options, applying their judgment and making the final decisions.

The opportunity is not simply to complete the same tasks faster. It is to connect information, workflows and people so organizations can make better decisions and respond more effectively when challenges arise.

But as those workflows evolve, so must the capabilities of the people responsible for them.

Technology adoption cannot be separated from workforce readiness.

One of the most interesting themes in McKinsey’s research is the continued importance of human judgment.

Although AI may automate significant portions of nonphysical work, McKinsey emphasizes that domain expertise, accountability and the ability to evaluate complex trade-offs will remain critical.

AEC professionals will still need to understand project conditions, interpret standards, recognize risks and determine when an AI-generated recommendation should be accepted, adjusted or rejected.

In fact, McKinsey suggests that domain expertise could become even more valuable as intelligent systems take on a larger role in everyday workflows.

This creates an important distinction between knowing how to operate technology and understanding how to apply it effectively.

An employee might know how to use a software platform without fully understanding the company standards, project requirements or workflows needed to apply that technology effectively.

As technology becomes more capable, organizations need to ensure their people are developing both the technical skills to use it and the practical knowledge required to apply it responsibly.

The goal is not simply to prepare people to use new tools. It is to prepare them to work confidently and effectively as the nature of their work changes.

McKinsey also highlights a challenge that will be familiar to many AEC organizations: valuable expertise is often concentrated in a relatively small number of experienced professionals.

These individuals understand why particular workflows exist, how to anticipate project risks, which approaches have worked before and what to do when conditions change.

That experience is enormously valuable, but when it remains primarily in people’s heads, it becomes difficult to share consistently across teams, projects and locations.

McKinsey points to the opportunity to capture lessons from previous projects, including schedules, RFIs, change orders and task-level decisions, and make those insights available within everyday workflows.

Imagine a junior planner being able to recognize a scheduling risk because the organization has made lessons from previous projects accessible. Or a designer being able to identify a potential constructability issue before it becomes a costly problem in the field.

These examples demonstrate how organizational knowledge can become more valuable when it is captured, maintained and made available to the people who need it.

The report also highlights the importance of turning fragmented project information into reusable institutional assets. Drawings, specifications, project records and lessons learned hold enormous potential, but that potential is limited when information remains scattered across disconnected systems or difficult to interpret.

For AEC organizations, the opportunity is to move beyond simply storing information and toward making trusted knowledge accessible and actionable.

Because the more technology relies on organizational knowledge, the more important it becomes to build the infrastructure that connects that knowledge to people and workflows.

McKinsey identifies another important consequence of automation that deserves particular attention.

Many of the routine tasks AI could take on are the same tasks that junior professionals have traditionally used to build experience, develop judgment and learn how complex projects operate.

As those responsibilities change, organizations may need to become more intentional about how they develop the next generation of industry experts.

McKinsey specifically points to structured reviews, simulations, explicit standards and exposure to real project challenges as ways organizations can help junior professionals build the judgment, pattern recognition and risk awareness they will need throughout their careers.

This is a critical workforce readiness consideration.

Effective workforce development needs to go beyond learning how to use technology. It must also help organizations preserve and transfer trusted knowledge, connect training to company and project-specific workflows and continuously build the skills people need to perform.

At the same time, established professionals need opportunities to continuously update their skills as new tools, workflows and expectations emerge.

That means workforce development is no longer simply about onboarding new employees or delivering occasional software training.

It is about creating an ongoing connection between technology, organizational knowledge, practical experience and continuous learning.

McKinsey’s recommendations for AEC leaders reinforce the importance of taking a broader approach to digital transformation.

Rather than focusing on isolated technology implementations, the report encourages organizations to redesign workflows, make better use of trusted project data, capture institutional knowledge and ensure people remain responsible for critical decisions.

It also emphasizes the need for role-based training, governance and meaningful measures of business performance.

For organizations planning their next technology investment, that raises several important questions:

These questions shift the conversation from simply implementing technology to building the organizational capability required to realize its value.

They also point to the need for a more connected approach to training, knowledge and digital adoption.

This is where Global eTraining is focused.

Trusted by top architecture, engineering, construction and manufacturing firms worldwide, Global eTraining’s AI-powered digital adoption platform helps organizations elevate human potential and accelerate workforce readiness by connecting people with the trusted knowledge, skills and guidance they need to confidently put technology to work.

As McKinsey’s research makes clear, the pace of technological change is creating a growing need for organizations to capture and scale trusted expertise, connect knowledge to everyday workflows and continuously develop the skills their people need to keep pace.

Global eTraining helps organizations address these challenges by converting trusted company and project-specific information into actionable knowledge, providing access to dynamic project procedures in the flow of work and closing digital skills gaps through AI assessments, insights and learning paths.

For AEC organizations, that means connecting extensive industry and software training with the standards, processes, project requirements and subject-matter expertise unique to the way their teams actually work.

Instead of relying on disconnected courses, documents and individual experts, organizations can make trusted knowledge more accessible and actionable across their workforce. This helps preserve valuable organizational expertise, support more consistent project workflows and give employees the guidance they need to confidently apply technology in real-world situations.

And because technology, projects and workflows are constantly changing, the knowledge surrounding them needs to evolve too.

Global eTraining empowers learners with consumable and up-to-date training that is just enough, just in time and just for them, helping organizations continuously build the knowledge and skills required to keep pace with technological change.

Together, these capabilities help organizations reduce inconsistency, reduce rework and reduce risk while maximizing the value of their technology investments.

The result is more than training. It is a knowledge infrastructure that drives technology adoption at scale, connecting trusted information, organizational expertise and workforce capability so people can confidently put technology to work.

McKinsey’s research presents an exciting vision of the future of architecture, engineering and construction.

AI and automation could transform how organizations design, coordinate, manage and deliver projects, unlocking significant value while changing the responsibilities and capabilities required across the workforce.

But one of the most important takeaways is that technology alone will not determine which organizations succeed.

The firms best positioned to benefit will be those that can connect technology with trusted project data, established workflows, organizational expertise and the people responsible for making critical decisions.

That requires organizations to think about workforce readiness and technology investment as parts of the same strategy.

As routine work becomes increasingly automated, the ability to preserve institutional knowledge, develop professional judgment and continuously build new skills will become even more important.

At Global eTraining, we believe the organizations that succeed in this next phase of digital transformation will be those that connect technology, trusted knowledge and people, building a scalable knowledge infrastructure that evolves alongside their workforce, projects and technology.

Because the future of AEC isn’t just about what AI and automation can do.

It’s about preparing people to make the most of what’s possible.

Meet with us to learn more.