The Age of Secular Volatility

“The next regime will reward those who can compound without the old world returning.”

Secular Volatility is not simply more volatility. It is a different pricing regime.

For most of the Great Moderation, investors relied on four assumptions: that inflation would mean-revert, that central banks would ease into shocks, that sovereign bonds would anchor portfolios, and that globalisation would keep capital and production cheap. Those assumptions supported duration, leverage, compressed spreads and high valuations for distant cash flows. The emerging regime challenges all four — and the result is that the discount rate stays higher, dispersion stays wider, and balance-sheet quality matters more.

Geopolitical competition raises the cost of security. Energy constraints raise the cost of production. Sovereign borrowing raises the cost of duration. AI, defence and infrastructure raise the demand for capital. Returns should therefore depend less on multiple expansion and more on the ability to generate cash flows above a higher cost of capital.

The world has survived depressions, wars, energy shocks, financial collapses, pandemics and technological bubbles because adaptation eventually caught up with disruption. Institutions changed, capital moved, technology raised productivity, balance sheets healed — and the system usually had time.

That may now be changing. Public debt is already high before the next emergency arrives. Energy systems face simultaneous pressure from security, electrification and AI. Technology moves faster than institutions, and financial shocks transmit almost instantly. New disruption increasingly arrives before the previous shock has cleared. The defining risk is the loss of recovery time. The old sequence — crisis → response → recovery → normalisation — is giving way to crisis → partial response → new crisis → further adaptation. That is Secular Volatility: not permanent recession, but a regime in which adaptation must occur faster and with less policy room.

The Global Financial Crisis had an identifiable centre: real estate → mortgage credit → bank leverage → liquidity crisis → credit contraction. Once the banking system was named as the epicentre, the response was clear — recapitalise, guarantee, provide liquidity, cut rates, support demand.

Today there may be no single epicentre. Instability can originate simultaneously in geopolitics, energy, sovereign debt, trade, technology, cybersecurity and infrastructure. Central banks can create liquidity. They cannot create electricity grids, semiconductors, engineers, natural gas or geopolitical stability. A shock can now produce weaker growth, higher inflation and financial instability at the same time. And unlike 2008, markets may question not only private balance sheets but the governments doing the rescuing. The question shifts from who will the government rescue? to who will finance the government doing the rescuing? That is the deeper regime change.

The post-Cold War world reduced the economic price of geopolitics. That era is ending. Conflict increasingly extends into energy, shipping, payments, semiconductors, critical minerals, cloud infrastructure, trade, sanctions and technology standards. Defence spending rises, supply chains gain redundancy, strategic inventories grow, and production becomes less globally optimised. The world does not necessarily deglobalise — it reorganises around geoeconomics. Markets therefore charge more for duration, political uncertainty, energy dependence, sovereign weakness and strategic vulnerability. That is the resilience premium.

AI is often described as deflationary. Eventually it may be. But the path to that dividend is initially capital- and energy-intensive. The build phase requires data centres, semiconductors, power generation, grids, cooling, construction, specialist labour and capital: AI capex → higher demand for energy, equipment, labour and capital → bottlenecks → higher prices and higher hurdle rates. AI can be deflationary in what it produces while being inflationary in what must be built to produce it.

The energy channel is critical — more compute means more electricity, more generation and grids, more capital. AI also competes for financing with defence, infrastructure and sovereigns, pushing real rates and term premiums higher. Only later does the productivity phase emerge: adoption → automation → higher output per worker → lower unit costs → productivity-led disinflation.

The uncertainty is the lag between the two phases. If productivity arrives quickly, the investment validates itself. If it arrives slowly, AI investment feeds inflation, higher rates raise financing costs, capex falls and productivity is delayed. The investment required to create future deflation can generate current inflation — and the monetary response can delay the future deflation.

The governing tension is whether disruption raises the cost of capital faster than adaptation raises productive returns. Disruption and adaptation operate on different clocks: market time in hours, monetary time in months, fiscal, infrastructure and productivity time in years to decades. Markets can reprice immediately; grids, factories, retrained workers and scaled productivity cannot. That is why recovery time matters — adaptation increasingly has to occur while the next shock is already arriving.

The scenario weights reflect the dominant macro-financial regime most likely to shape global asset pricing over the next three to five years, driven by two questions: will productivity broaden meaningfully, and will capital remain structurally expensive?

- 70% — capital remains structurally expensive (40% High-Rate Productivity + 30% Stagflationary Capital Squeeze): real rates, term premiums and required returns stay above the Great Moderation norm. - 60% — productivity broadens meaningfully (40% High-Rate Productivity + 20% Productivity Boom): AI, automation and related investment generate gains beyond a narrow technology cohort.

The key intersection is the 40% base case: high productivity with expensive capital. The portfolio message is simple — capital probably stays expensive, productivity probably improves, and the principal risk is that it improves too slowly.

The scenario weights should move with ten variables: productivity (output per hour, TFP, unit labour costs); return on AI capital; energy (power prices, grid queues, transformers); real rates; term premiums; sovereign spreads; credit spreads; AI capex breadth; labour dispersion; and fiscal capacity. Together they answer one question: is productivity rising fast enough to clear the new hurdle rate?

The consequence is not uniformly weak returns — it is wider dispersion. Between countries, companies, sovereigns, energy producers and importers, AI builders and users, cash-rich and leveraged businesses, fiscally credible and constrained governments. The Great Moderation compressed these differences; the new regime should widen them. The approach shifts from buy the index toward price the difference. The new alpha is selection.

Five Investment Conclusions

what the regime rewards

• The discount rate matters again — the test is ROIC > WACC through multiple regimes; businesses dependent on falling rates become fragile.
• Resilience becomes offensive — cash, liquidity, debt maturity, energy access, pricing power and adaptability let strong companies keep investing while weaker ones retreat.
• Sovereign risk returns — debt sustainability = fiscal credibility × nominal growth × productivity × market trust; country selection matters again.
• Energy becomes part of the cost of intelligence — compute needs electricity, grids and capital; energy-secure economies shorten the path from investment to productivity.
• The new alpha is adaptation speed — who can convert investment into productivity before financing conditions turn against them.

Europe faces a particularly difficult version of this regime. Its previous model relied on cheap Russian energy, American security, Chinese demand and globally integrated trade and capital — each now being reconsidered. Europe must move from an efficiency architecture toward a resilience and productivity architecture: energy security, deeper capital markets, Industrial-AI deployment, faster infrastructure, scalable companies and credible sovereign finances. The challenge is not simply to spend more, but to generate more productivity from every unit of capital deployed. If it does not, higher energy and financing costs risk suppressing the investment required to restore competitiveness.

The world survived past crises because adaptation had time to catch up. That time is becoming scarcer. War raises the cost of security, energy the cost of production, sovereign debt the cost of intervention — and AI raises both the demand for capital today and the possibility of much higher productivity tomorrow. The decisive question is whether productive returns can clear a structurally higher hurdle rate.

The probability framework says: 70% capital remains expensive, 60% productivity broadens, 40% both happen together. That 40% intersection is the core thesis. The most likely world is not a return to cheap money, nor permanent stagnation — it is higher productivity inside a higher-cost-of-capital regime. That shifts the source of returns: from leverage to resilience, from multiple expansion to cash-flow delivery, from broad beta to selection, from waiting for normalisation to identifying who can compound without it.

The next regime will reward those who can compound without the old world returning.