Infrastructure

Big bets, obsolete playbooks: 7 moves to extract more value from your capital projects

Insight
6 minute read
March 25, 2026

The world is poised to make a historic bet on infrastructure. Data centers to power the AI boom. Grid, transmission, and generation investments to meet projected increases in electricity demand. Renewable and conventional energy build-outs at unprecedented scale. Manufacturing facilities and supply chain capabilities reshored and expanded. Upcoming PwC research shows a surge in infrastructure investment over the next 25 years that will be deployed in the physical backbone of the modern economy.

It's the largest infrastructure investment cycle in a generation. Yet, most capital project programs weren’t built for it.

How effective capital deployment can transform infrastructure projects

Capital deployment is transforming into a broader capacity challenge. What's changing isn't just the volume of capital. It’s the need to turn that capital into delivered capacity and do it faster, with greater control, and across multiple projects at once. That requires a new model, one that connects capital allocation strategy to frontline execution with the same rigor, speed, and transparency at every stage in between.

Yet delivering on this ambition becomes more complex every day. Misaligned scope, underestimated risk, supply-chain disruption, workforce shortages, evolving stakeholder expectations, and increasing sustainability requirements compound delivery risk. Many projects still cost more and take longer, risking the very business cases that justified the initial investment. Transforming capital deployment into a disciplined, repeatable process is essential to delivering outcomes.

There’s a significant opportunity to gain competitive advantages for companies that get this moment right. For leaders, this is no longer just a project-management issue. It is a full-lifecycle infrastructure challenge: how to finance wisely, assess business cases rigorously, plan and build with discipline, and operate assets in ways that sustain value over time. And they need to execute on all of that while at every stage the world around them is constantly shifting.

Seven critical obstacles and the strategic shifts to overcome them

As organizations navigate an era of unprecedented infrastructure investment, success hinges on recognizing and addressing the complexities that can derail capital projects. The following challenges illustrate the pitfalls teams face and spotlight actionable strategies leaders can adopt to deliver results in this rapidly shifting environment.

Capital programs are awash in data, yet most leaders still lack a clear, real-time view of where their projects actually stand. The data exists. The visibility doesn't. And without it, executives are forced to rely on backward-looking snapshots and manual work that arrive too late to change outcomes.

Here’s your next step: Deploy integrated project controls platforms and portfolio-level dashboards that consolidate data across every workstream into a single source of truth. AI, and specifically machine learning, can help your organization move from reporting to foresight by analyzing data from past projects to anticipate outcomes, strengthen forecasting, and improve execution. Some organizations are already using it to help reduce construction delays related to weather, scheduling, labor shortages, or materials sourcing. When everyone from field engineers to the C-suite operates from the same AI-augmented picture, decisions get faster, interventions get earlier, and surprises get rarer.

Owners and contractors often operate with different definitions of success, risk tolerances, and financial incentives. This misalignment can drive behaviors that improve for individual parties rather than project outcomes, resulting in disputes, rework, and eroded trust.

Here’s your next step: Structure contracts that tie compensation to predictable, measurable outcomes that include shared milestones, quality benchmarks, and delivery targets that create genuine alignment between the owner's objectives and the contractor's performance.

Conditions on the ground change daily. Without real-time field visibility, project managers are reacting to problems after they've already caused damage to budgets and timelines.

Here’s your next step: Equip field teams with mobile-enabled, sensor-driven, and AI-powered tools that surface issues in real time. Machine learning can analyze data from past projects to anticipate outcomes, strengthen forecasting, and improve execution, highlighting trends before they become delays.

Too many organizations make final investment decisions without a clear handle on the likelihood of cost overruns or the error bands for how large those risks can be across different scenarios. Without that quantification, leaders can’t make informed trade-offs early when they still have leverage.

Here’s your next step: Embed quantitative risk analytics into planning from the outset, using scenario modeling to stress-test budgets, timelines, and delivery assumptions before they become locked in. Project analysis should be done in real-time and informed by current conditions. This creates frameworks that allow leadership to weigh trade-offs before they become crises.

The surge of private capital into infrastructure brings sharper expectations. Investors are pushing for tighter timelines, clearer justification of spending, and more frequent and transparent reporting on progress and outcomes.

Here’s your next step: Bring transparency and consistency to planning. Clarify who needs to see what—from boards and regulators to developers and investors—and anchor all stakeholders to shared objectives. When progress, costs, and risks are communicated consistently, programs move with fewer surprises.

With no nuclear projects built in the US for decades and an aging workforce approaching retirement, critical institutional knowledge is at risk. Meeting today's capital program demands is expected to require an additional 450,000 to 1 million engineers, and about 40% of executives report difficulty hiring for critical roles.

Here’s your next step: Treat workforce planning as intentionally as capital and materials. Companies should store, codify, and leverage the institutional knowledge of their internal experts before they retire. In turn, they can strengthen internal talent pipelines and upskilling paths, plan for continuity where retirements may leave gaps, and evaluate every delivery model—direct hiring, third-party labor, and outsourced delivery—to identify the approach that best supports program needs.

Concurrent transmission, distribution, and generation investments are driving demand for long-lead equipment and specialized components at a pace supply chains can’t match. Up to $400 billion in planned natural gas-fired power plant capacity additions could be delayed by turbine manufacturing constraints alone.

Here’s your next step: Build a multi-year view of labor, equipment, and material demand across the full portfolio. Align sourcing strategies across projects, give suppliers clear visibility into upcoming needs, and integrate realistic lead times into baseline plans — making earlier, better-informed decisions on long-lead items.

When capital moves fast, governance matters more

As these challenges converge across large, fast-moving capital portfolios, one theme becomes nearly impossible to ignore: to extract the greatest value from these initiatives, oversight may also need to evolve as quickly as investment does. The infrastructure investment cycle ahead is unprecendented and the challenges outlined here are not new. But the scope, complexity, and consequences of failing to address them are.

In this environment, every unresolved risk compounds faster and costs more. Organizations need governance that can keep pace, with real-time insight into emerging issues, quicker approvals, clearer prioritization, and more integrated planning across the portfolio. Leaders should be asking:

Do we have real-time visibility across all of our portfolio, not just at a project level?

Can our governance model move at the speed our capital commitments demand?

Are our contracts, workforce plans, and supply chain strategies built for this environment?

The organizations that act now to build integrated, technology-enabled delivery models, and shift from project-by-project oversight to portfolio-wide capital orchestration and decision-making, can be better positioned to manage risk, move with greater confidence, and turn this moment into lasting competitive advantage.

¹ Aminoff, Felicia. “Electric Vehicles Remain Key Driver for Grid Investment Despite Data Center Boom. BloombergNEF. September, 2, 2025.

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