The agricultural revolution had begun. Until then, homo sapiens moved with the seasons, living in bands. Agriculture brought stability, and with it, abundance. But it also brought division—those who owned land, and those who worked it.

The French Revolution, which erupted in 1789, was the culmination of centuries of royal extravagance, mounting economic crisis, and the simmering force of Enlightenment ideals. The monarchy, deeply in debt and indifferent to public hardship, presided over a population that could scarcely afford bread. As grain prices soared and inequality became unbearable, the masses rose in revolt. What began with outrage in pamphlets soon spilled violently into the streets. Paris bled as the Bastille fell, the monarchy crumbled, and the guillotine cast its long shadow over king and citizen alike. Robespierre’s Reign of Terror followed, only to be succeeded by the rise of Napoleon, who crowned himself emperor in a republic still searching for stability. Though the revolution ended absolute monarchy and seeded democratic ideals across Europe, it also proved that noble intentions do not shield societies from chaos, especially when power lies unclaimed.

These revolutions may have differed in cause and character, but they followed a remarkably consistent arc. Each began with a group poised to gain rising against those with something to lose. Violence was not incidental but instrumental—a mechanism of transition rather than chaos. Old institutions—empires, monarchies, artisan guilds—collapsed, and in their place emerged new systems of governance, production, and power. They were not always clean or successful, but they reshaped how societies functioned, how economies operated, and how individuals understood their roles.

It runs on servers and learns with every click. Not led by muskets, but by models, this revolution may change what it means to be human. Intelligence, once purely biological, now evolves in machines. As Max Bennett notes in A Brief History of Intelligence, traits like memory, imagination, and reasoning took nature millions of years to develop. AI has been gaining them for decades. We’re no longer programming tools—we’re training minds.

Conflict is inevitable. Jobs will vanish. Nations will clash over technological dominance. Truth itself will blur under deepfakes and disinformation. Education no longer assures an edge. Labour loses primacy. Identity is malleable. Markets react not just to fundamentals, but to synthetic narratives. Most critically, AI is recursive. It learns how to improve itself. It accelerates acceleration.

Just as the fence marked the beginning of power, the neural net may mark the end of humanity’s monopoly over it. We are no longer the sole authors of change. But revolutions don’t just rewrite code or law—they reprice belief. And nowhere is belief more foundational than in financial markets.

For over half a century, the U.S. dollar has been more than a currency—it has been a consensus. Not backed by gold, but by trust: in American institutions, its central bank, and its role as the global stabiliser. The world bought dollars not for yield, but for safety.

That belief sustained a remarkable imbalance—the dollar’s dominance in global finance far outstripping America’s share of global output. But belief is brittle. Political brinkmanship, debt ceiling theatrics, and the return of inflation have chipped away at that trust. And as confidence falters, so too does the foundation beneath every dollar-denominated asset—from oil and equities to the scaffolding of global financial stability.

In such a world, the old rules of investing—buy good companies, hold for the long term—begin to break. Fundamentals no longer move markets on their own. Instead, flows, liquidity cycles, and sentiment dominate. Valuation models struggle to keep pace with regime shifts. Macro narratives overpower micro truths. Greed and fear displace patience and discipline.

Cycles—across stocks, sectors, and market caps—are taking over. And they're getting shorter. What once unfolded over years now collapses into months, driven by the speed and scale of modern capital. The rise of retail participation—turbocharged by social media, zero-cost trading, and an always-on information stream—has added momentum to this churn.

In this fractured environment, investing has become less about conviction and more about context. Less about holding through cycles, and more about surviving their whiplash. The half-life of belief is collapsing, and with it, the foundations of traditional investing. We used to price value. Today, we price belief—and belief, increasingly, is built on noise.

History does not move in straight lines—it turns on ruptures. From the first fence to the first factory to the first algorithm that wrote a sentence, every revolution has redrawn the contours of power, belief, and conflict. What began with land shifted to machines, then to ideas, and now to intelligence itself. As markets mirror this upheaval—not just reacting to capital, but to chaos—the task for asset allocators is no longer about riding a single trend or trusting a single heuristic. It is about staying anchored in a world of shifting tides. Navigating revolutions, yes—but more urgently, navigating cycles. Because in an age where conviction is fleeting and regimes turn fast, it is the ability to adapt to cycles—across styles, sectors, and sentiment — that will define the path to consistent, risk-adjusted returns.

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