As scarcity reshapes markets, here's where long-term investors can find value

The conflict in the Middle East has reminded the world how quickly things can change. In late February 2026, disruptions in the Strait of Hormuz threatened a significant share of world oil supply, highlighting the risks posed by concentrated spare capacity and critical chokepoints. Within days, oil prices rose sharply, challenging the positive outlook markets had expected at the beginning of the year.

This episode also exposed vulnerabilities that had built up over years across energy, supply chains and the financial system, creating a world of greater scarcity and complexity. As a result, constraints are now tightening across the global economy while outcomes are widening.

And these constraints do not exist in isolation. Geopolitical fragmentation, limited fiscal flexibility and bottlenecks in technology and energy reinforce one another as their impacts play out unevenly across markets.

This widens the range of possible outcomes, making it harder to rely on any single view of the future. So where can long-term investors find value amid this complexity?

Historically, geopolitical crises followed a familiar pattern: sharp, short-term disruption followed by a normalization of risk premia once the crisis passed. For investors, these swift recoveries often turned initial sell-offs into buying opportunities.

Today, geopolitical risks are no longer episodic disruptions but structural changes, with more persistent and uneven market effects. Countries are prioritizing resilience and strategic autonomy, reshaping supply chains and capital flows. Investments in defence, industrial policy and financial statecraft are becoming the norm.

These shifts are also colliding with physical constraints in compute, critical minerals and energy. Efforts to secure advanced semiconductor production, rare earth supply chains and key energy routes are increasing both the cost and complexity of building strategic capacity.

The resulting financial burden is falling on governments that already face high debt levels. While fiscal constraints are not yet binding in most major economies, sustained spending pressures may strain those that rely heavily on foreign financing or those with less policy credibility.

Together, these dynamics are changing how markets price geopolitical risk. Rather than temporary dislocations, shocks now lead to more enduring and differentiated country risk premia, higher costs of capital and greater divergence between winners and losers.

This places a premium on diversification – not only across geographies and asset classes, but across underlying sources of risk and return.

Examples include assets with durable cash flows and low correlation to traditional markets, such as intellectual property rights and music royalties, as well as structural diversifiers such as gold and inflation-resilient real assets.

Not long ago, long-term investors were questioning whether AI could create real economic value. That is no longer the case. It is advancing rapidly but so are the constraints on its progress.

Demand for compute has grown exponentially, requiring outsized investments across semiconductors and data centre infrastructure. Shorter chip development cycles and increasingly complex models reinforce this trend. Power availability, grid capacity and skilled labour are also becoming critical bottlenecks.

How value is distributed across the AI ecosystem remains uncertain. The large language model layer is consolidating around a few frontier players, while commoditization risks rise elsewhere and adoption stays uneven across geographies, industries and enterprises.

As a result, outcomes are diverging in terms of who is disrupted and how durable competitive advantages prove to be. AI valuations continue to swing between enthusiasm and caution. Gains are also distributed unevenly across firms, sectors and regions, and between capital and labour. This favours those with scale, data, compute and the ability to adapt quickly.

Therefore, granularity may matter more than broad exposure as investors assess opportunities across the value chain of enablers, monetizers and adopters. An enduring competitive edge, leadership that combines vision with strong execution and the ability to compound early wins into lasting advantage are three key differentiators.

Among the enablers, hyperscalers and core AI infrastructure stand to capture multi-year demand from training, inference and agentic AI. Bottlenecks in advanced semiconductor manufacturing and design will drive similar, sustained demand as rising complexity creates structural scarcity. The same constraints and opportunities appear in the energy supply, grid infrastructure and cooling capacity that data centre growth depends on.

It's too early to identify the long-term winners in the AI application and adoption layers. Software illustrates this challenge well – AI disruption is having a real impact on the sector, but it's unlikely to be uniform. Companies with deep customer integration, proprietary data and mission-critical workflows are likely to remain resilient.

Energy has become one of the most constrained and contested parts of the global economy. Geopolitics, the AI boom and the climate transition are converging on the same bottleneck: energy supply and infrastructure.

Electricity demand is accelerating as economies electrify and hyperscalers expand data centre capacity at unprecedented scale. At the same time, geopolitical tensions have made energy resilience and domestic supply security top national priorities.

Infrastructure is struggling to keep pace, however. Grid investments continue to lag demand growth, while permitting and interconnection delays, limited transmission capacity and shortages of transformers and other electrical equipment are slowing the expansion of power systems.

Countries are also pursuing different energy pathways as they try to balance security, affordability and climate commitments. The result is wider variation across markets in energy costs, industrial competitiveness and the pace of the energy transition. Navigating this landscape requires agility – the ability to respond to each market's energy calculus on its own terms.

Businesses that strengthen resilience are better positioned in this environment. Regulated electric networks and utilities, for instance, can offer inflation and volume protection. Grid efficiency solutions that ease congestion and improve energy delivery are another example, as slower grid build-out drives demand for such technologies. Power equipment businesses with strong pricing power, meanwhile, can deliver resilient returns across varying economic conditions.

The global investment landscape continues to shift amid tightening constraints and widening outcomes. Geopolitical fault lines are deepening, AI is redefining competitive advantage and energy systems are straining under the competing pressures of tech-driven demand, security priorities and the climate transition.

While these issues pose significant risks, they also create opportunities for those who are prepared. A sharpened focus on diversification, granularity and agility can enable long-term investors to position their portfolios to manage uncertainty and find opportunities arising from this environment.