The window for a gradual response to the energy trilemma has closed. Aging infrastructure, rising demand, cost pressure and tighter regulation are already impacting day-to-day operations, and the risk of disruption is growing.

For most businesses, the question is no longer why to act, but how to respond in a way that protects uptime, controls cost and meets rising expectations.

In this article, I outline five practical pathways to help turn that pressure into a more resilient approach to energy. Those pathways all point to a common starting point: investing in infrastructure resilience.

Investing in infrastructure resilience is the answer to the trilemma 

The five pathways that follow translate that investment into operational and financial outcomes – and for companies ready to move beyond reactive management, they represent a step change in how infrastructure risk and opportunities are managed, costed and controlled.

ABB’s response to the asset management challenge operates across two complementary frameworks. The first is around digitally enabled solutions that support asset condition monitoring and proactive servicing that shift companies from reactive “run to failure” patterns toward predictive, data-driven intervention. The second is modernization – targeted upgrades, retrofits and lifecycle extensions that extract decades of additional value from infrastructure that would otherwise be replaced. 

Together, they support a circular approach to asset management: keeping what works, intelligently upgrading what doesn’t, and avoiding the carbon and capital cost of unnecessary replacement. At the heart of both is a fundamental shift in how industry thinks about power – from passive consumption to active energy management.

Pathway 1:

Strategic asset management and lifecycle extension that drive profitability and protect long-term value

The most immediately available lever – and the most consistently underused – is the existing installed base. Our research data across our global customer portfolio shows that companies embracing proactive asset stewardship see operating costs fall by up to 33 percent, maintenance costs drop by up to 85 percent, and downtime reduce by up to 90 percent. Critical infrastructure that might otherwise have been replaced after 20 years can continue running efficiently for another 30. And while achieving these operational gains, companies can simultaneously reduce CO₂ emissions by more than half – because the carbon embedded in manufacturing, transporting and installing new equipment is avoided entirely.

The cultural barrier to capturing these gains is well-documented. Most industrial organizations are structured around capital replacement: procurement processes favor it, budgets are built around it, and the default answer to aging equipment is a new purchase order. 

In my experience, shifting to lifecycle thinking requires changing who is in the room when the decision is made – from the plant manager focused on this quarter’s output to the CEO, CFO and sustainability director who carry responsibility for total cost of ownership and long-range capital allocation. This is why the CapEx-to-OpEx transition is not just a financial model; it is an organizational change.

Effective infrastructure resilience depends on a complete picture of every asset – one that draws on data from field service activity, customer-reported observations, sensors on monitored equipment, and product lifecycle documentation. Fused together, this information enables risks to be identified early and recommendations to be made at two levels: tactically, addressing what needs attention within the next year, and strategically, setting out what will be required over the next five to seven years. That longer horizon is not arbitrary – it reflects what companies need in order to make capital allocation decisions with confidence over the medium term.

Pathway 2:

AI and digital solutions that make existing infrastructure smarter without replacing it

AI is reshaping electrical infrastructure challenges across every industry, not just data centers. The scale of demand growth is one factor – AI workloads are projected to roughly double data center electricity consumption by 2030 – but the deeper structural issue is less well understood. It’s not simply more load: it is the nature of that load. 

AI workloads cycle from near-zero to full draw in milliseconds. And these new load characteristics are not confined to data centers, as automated production systems create sharp, unpredictable peak, while electric arc furnaces and EV fleet charging add further volatility. Electrical infrastructure – both the grid and the systems inside facilities – was designed for constant or slowly varying loads. It was not designed for this pattern.

The result is power quality degradation, accelerated wear of electrical equipment, and compounding risk for any operation where uptime is non-negotiable. More digital assets and tighter uptime requirements are compressing the window for reactive approaches – and the gap between what infrastructure was built for and what it is now being asked to do is widening across every sector.

The answer is not always to replace that infrastructure wholesale – it is often to make it smarter.

The same AI driving infrastructure pressure is also the tool ABB’s Electrification Service teams use to help customers get ahead of it. Decades of service reports – every site visit, every fault observation, every maintenance recommendation – feeds into an accumulated knowledge base that we now mine with large language models to extract structured patterns of asset behavior, fault precursors and maintenance outcomes. 

The result is twofold: a more systematic and granular understanding of the characteristics of the equipment being serviced globally, plus a system that encodes the expertise of the most experienced engineers and makes it available across every customer engagement, everywhere.

For customers, the practical benefit is consistency. A multinational operation running standardized sites across multiple geographies can rely on the same quality of assessment and recommendation in Switzerland, India or in Turkey – regardless of which technician is on site. Subjectivity is reduced. Standards are maintained. And because the system is built on domain knowledge with industrial-grade reliability controls, it is a practical working tool, not a research project.

AI and digitalization also enable retrofitting of monitoring sensors to existing assets – including equipment installed decades ago without any monitoring capability – which can then be brought into a condition-based maintenance regime without replacing the underlying hardware. Technicians are dispatched when monitoring equipment at the customer facility indicates a need, not according to a calendar. When our colleagues arrive, they know what the problem is, what the intervention should be, and how to sequence the work so that operations keep running throughout. The outcome for customers is less unplanned downtime, lower maintenance cost and a service relationship that gets more valuable as the data accumulates.

Pathway 3:

Energy storage solutions – the gamechanger that turns a victim of rollercoaster supply costs into a proactive revenue-generator

Data and insights generated through digital monitoring and AI-driven asset management deliver their full value when linked to decisions about how energy is sourced, stored and consumed. That connection – between digital intelligence and physical power-system capability – is what this pathway addresses. 

For most industrial operators that I have encountered, the missing link between a monitoring investment and a measurable reduction in energy cost is storage. Without it, on-site renewable generation feeds back to the grid at negligible rates, peak demand charges accumulate unchallenged, and diesel generators remain the default backup. Storage changes all of that.

For manufacturing sites, storage enables peak demand reduction when the customer draws on their own power sources rather than the grid, it is backup power that replaces diesel generators, and has the ability to capture power generated by on-site renewables and deploy that power when it is needed most, or feed it back to the grid during the most lucrative period. For remote industrial operations – mines, offshore platforms, isolated processing facilities – it enables the transition from grid dependency to microgrid-based energy independence, removing both the cost and the supply chain vulnerability of diesel logistics in difficult environments.

In our approach to storage technology, the aim is always the best solution for the specific situation, because the right technology depends entirely on the customer's site, usage profile, available space and financial model. Lithium-ion suits power-dense applications. Flow batteries offer long-duration zero-degradation storage with 20–30-year lifespans, though on a larger footprint than equivalent lithium-ion systems. Ultra-capacitors serve high-speed discharge and battery life extension in hybrid configurations.

Across all of these, the governing logic is the same: storage converts a passive energy position into an active one, giving operators control over when they consume, when they store, and when they trade.

Pathway 4:

Energy & Carbon – innovative ownership & service models deliver operational savings, resilience assurance and auditable carbon reduction

The energy trilemma resolves into commercial opportunity when energy is less a cost to be managed and more an asset to be optimized. 

Storage technology is not the constraint – as I outlined above, modern systems respond in milliseconds, provide frequency regulation, replace diesel backup, reduce peak demand charges, and enable on-site renewable-generated power to be stored and deployed intelligently. The barrier has been the ownership model. Even with compelling return-on-investment calculations, most industrial operators lack the capital or appetite to own and operate storage assets that sit outside their core expertise. So, the default remains diesel backup, spinning reserve costs embedded in grid pricing, and demand charges accepted as unavoidable.

Battery storage costs fell sharply in 2024 – price reductions for typical four-hour systems were measured in the high 30 percent range on the prior year – and the economics are continuing to move in the customer's direction. The commercial logic is that all three dimensions of the trilemma can be addressed simultaneously, and in many cases the economics are cost-neutral or revenue-positive through active trading in intraday, day-ahead and frequency regulation markets. The carbon dimension is embedded throughout when every quotation includes a carbon footprint assessment showing emissions avoided versus replacement, making the sustainability case at the same time as the financial one.

For organizations under pressure to demonstrate progress on Scope 1, 2 and 3 carbon reductions, that combination – operational savings, resilience assurance and auditable carbon reduction in a single contracted model – delivers on all three at once. As regulations and supply chain sustainability obligations around Scope 3 tighten, the ability to evidence measurable carbon reduction to customers becomes a commercial differentiator, not just a reporting requirement. 

I can see a clear trend where companies that treat their energy and carbon position as an actively managed, contracted and evidenced asset will be the ones their customers choose to grow with.

Pathway 5:

Advisory services – the business case conversation based on a holistic energy diagnosis

The most expensive infrastructure decisions are the ones made without the full picture.

We can all imagine situations where:

• A plant manager, presented with a failing asset, reaches for the replacement budget.

• A CFO looking at a capital request for monitoring systems asks why they can’t just fix things when they break.

• The CEO committed to a net-zero target is told by the engineering team that the business case for renewable integration doesn’t stack up without storage. 

Each of these conversations fails because the person asking the question does not have the complete information they need to reach the right answer.

The first step in fixing a problem or improving performance is having an accurate picture of the current situation.

A power system study, load flow analysis, protection coordination assessment and power quality audit – combined with asset roadmaps covering cost, carbon and resilience – are the tools that transform what looks like an operational problem into a financial business case. Most companies know the symptoms – recurring small outages, interference on production lines, unexplained equipment degradation. That is not the problem. That is the output from the problem. Once the right questions are asked in a systematic way, the real cause becomes visible – and with it, the real cost of inaction.

The financial logic is straightforward once the full cost picture is visible. A structured asset management plan will not stop things breaking – but it is the difference between an unplanned shutdown and a planned one. Translating the consequential losses from unplanned outages into a measurable case for proactive investment moves the conversation from capital to operational expenditure, opening it to different financial tools and a different approval process.

Committing to an outcome-based service model for one or two decades is a decision that belongs at senior leadership and board level. It involves the CFO who carries responsibility for long-range capital allocation, and it involves the sustainability director who is accountable for measurable carbon reduction. Ultimately, the CEO must be engaged, as energy security, cost and decarbonization are no longer separate strategic workstreams but a converging risk – and opportunity – and they are firmly on the boss’s plate. That is the conversation this pathway is designed to enable.

The result for the customer is better decisions, made with full visibility of the financial commitment and carbon consequences. Problems are diagnosed and holistically addressed rather than patched on a tactical basis. Capital gets allocated where it delivers the most value, and the organization moves from managing its electrical infrastructure reactively to using it strategically – with the evidence base to show investors, regulators and its own customers that it is doing so.

From reactive cost to strategic control

The five pathways I've explored share a common logic: that electrical infrastructure is not a background concern to be managed reactively, but a strategic asset that can be actively optimized for cost, resilience and carbon reduction. Lifecycle extension, digital monitoring, energy storage, outcome-based service models and structured advisory work are not sequential steps – they can be deployed independently or in combination, depending on a company’s start point and most pressing exposure or opportunity. 

What we see consistently across the sectors we work with – is the shift from reactive to proactive: from waiting for failure to intervening before it happens, from accepting energy costs as fixed to treating them as manageable and from reporting on carbon to actually working to reduce it. 

The energy trilemma is real, it is sector-wide, and the pressure will not diminish. But for companies willing to look at their electrical infrastructure with fresh eyes, the same forces that create the risk also create the commercial case for acting on it – and that is the conversation we are having with more and more companies every day.