Oil Resilience, Copper Constraints & The Next Federal Reserve Era

Markets continue to focus on demand while underestimating supply-side constraints. This is a structural read of three of them — energy, copper, and the coming Federal Reserve transition — not a set of recommendations.

May 2026 underlined a reality markets routinely overlook: growth depends not only on capital and technology, but on physical infrastructure. Despite geopolitical tension and elevated energy prices, the global economy proved more resilient than earlier decades would suggest. Oil still matters — but modern economies are far less energy-dependent than they were during the inflation crises of the 1970s.

Beneath the surface, a more significant constraint is forming. AI, electrification, and industrial reshoring are driving unprecedented demand for physical infrastructure. Data centres need electricity; electricity needs transmission; transmission needs copper. The problem is timing: technological adoption moves in years, while resource extraction and infrastructure build-out take decades.

Meanwhile, attention is turning to a possible Federal Reserve leadership transition. The prospect of Kevin Warsh succeeding Jerome Powell carries implications well beyond the level of interest rates, reaching into the framework of monetary policy itself.

The common thread through all three: markets keep watching demand, and keep underestimating the supply side.

The 1970s left a lasting belief that rising energy prices inevitably trigger recession. Energy remains critical — but the structure of the economy has changed. Advanced economies now need far less oil per unit of output than they did fifty years ago, the product of more efficient industry, a larger service share, and lower energy intensity in transport and manufacturing.

The consequence is subtle but important: an oil-price shock still feeds inflation, but it drags less on growth than it once did. That resilience is most visible in the United States, where domestic production and shale have reduced import dependence. Europe remains more exposed — more reliant on external energy and more energy-intensive in its industrial base. In a world of periodic geopolitical disruption, that divergence matters.

If oil defined the twentieth-century industrial economy, copper may define the twenty-first. Every major trend now driving investment demand — AI data centres, EV charging, reshored factories, electrified grids — runs on electricity, and therefore on copper.

Unlike software, physical infrastructure cannot scale on demand. A new AI cluster can deploy in months; a transmission line takes years; a new copper mine can take more than a decade to reach commercial production. As demand accelerates, supply struggles to answer — a structural bottleneck that can turn copper from a cyclical industrial metal into a strategic resource with growing geopolitical weight.

That is the asymmetry to hold in mind: demand for copper moves at the speed of technology adoption, while supply moves at the speed of geology, permitting, and construction. When the two diverge, the gap does not close quickly.

Public discussion of AI stays fixed on software — models, applications, competitive moats. But the next phase may be set by infrastructure rather than algorithms. Models run inside data centres that need electricity, cooling, transformers, transmission, and backup power. Every increment of compute adds pressure on physical systems that were not built for it.

That reframes the investment lens. AI is increasingly an infrastructure cycle, not only a software revolution. Energy generation, power transmission, industrial equipment, cooling, and raw materials may end up mattering as much as the model developers themselves. Strip away the excitement and the point is simple: the AI economy ultimately rests on the physical economy — and the physical economy has hard limits that software does not.

Leadership changes at central banks often carry longer-lasting consequences than any individual rate decision. The possibility that Kevin Warsh succeeds Jerome Powell has drawn growing attention, and it deserves it — but for the right reason. A transition need not imply an immediate move in rates. What it can reshape is the framework around them: communication, tolerance for inflation, balance-sheet policy, and the expectations that flow from all three.

Markets are highly sensitive to shifts in central-bank credibility. Even a subtle change in framework can move capital flows, risk premiums, and valuations well before any rate changes. The disciplined approach is to watch not only what the rate is, but how the institution setting it is evolving.

We weight the year ahead across three cases, without pretending to know which arrives.

Base case (50%). Positive but modestly slowing growth; inflation declines gradually while staying above target; AI investment continues to support infrastructure spending; commodity demand stays structurally strong.

Bull case (25%). Energy prices stabilise; liquidity improves; infrastructure investment accelerates; technology spending expands beyond expectations.

Bear case (25%). Geopolitical tensions escalate; energy markets face renewed disruption; inflation stays elevated; financial conditions tighten further.

Oil still matters, but the global economy is more resilient to energy shocks than it was in previous decades. Copper is emerging as one of the most important strategic resources of the AI and electrification cycle. AI is better understood as an infrastructure theme than a purely software one. Across all three, physical constraints may matter more than demand-side forecasts. And developments in Federal Reserve leadership could shape market expectations well beyond the interest rate itself.

We are not here to tell you how any of these resolve. We are here to make sure that when the story is told through demand alone, you remember to look at the side almost everyone leaves out — supply.