The next 730 days will likely feel volatile, said Leonard Brody, an award-winning techno-economist, entrepreneur and venture capitalist, to open his I.CON West keynote address this week in Los Angeles.
He explained that financial systems are under pressure, geopolitical alliances are being tested, and artificial intelligence (AI) has moved from novelty to near-human capability. It is tempting to interpret this moment as uniquely unstable, he said, but in reality, it fits squarely within a 300-year historical pattern of supercycles – long arcs of disruption, typically lasting five years, that reset how economies operate, how technology integrates with humanity, and how prosperity is ultimately generated.
Human life changed very little in the early centuries. A person born in the year 1112 and another born in the year 1516 would have had very similar lives in terms of the structure of society, the pace of communication, and the limits of opportunity. That continuity broke during the British Industrial Revolution, which marked the beginning of a modern era defined by exponential change.
From that point forward, Brody said, technology and human systems became deeply intertwined, driving dramatic gains in life expectancy, poverty reduction, infant survival and access to democratic institutions. These improvements did not emerge gradually; they followed disruption and structural resets.
Today’s turbulence – from the COVID-19 pandemic to Russia’s war with Ukraine, banking instability and the sudden acceleration of AI – may appear disconnected; however, such events have historically clustered during periods of systemic transition.
In short: Supercycles are not random episodes of chaos. They are periods in which multiple forces converge and compel societies to rewrite their operating systems.
AI as the Current Inflection Point
Brody said that AI feels different because it does not simply enhance productivity; it mimics elements of reasoning and creativity. Yet its origins stretch back decades and for much of its history it was limited by two constraints: insufficient computing power and inadequate data. Today, both barriers have fallen.
AI’s evolution has unfolded in stages. Early systems classified and sorted information, then generative systems emerged that could create text, images and code. Today’s model involves agentic AI – systems capable of performing tasks independently.
Despite this rapid consumer adoption, Brody noted that corporate integration remains shallow and most organizations are experimenting rather than restructuring. This gap suggests that the transformation phase is still early. Historically, fears of mass technological unemployment surface during each innovation wave; however, the reality is that labor markets adjust, new industries form, and productivity gains translate into broader economic expansion.
Technology and GDP: A Consistent Relationship
One of the clearest patterns of the last century is the correlation between technological advancement and GDP growth. Major innovation waves – electrification, computing, the internet – have consistently coincided with economic expansion. AI and related technologies are converging simultaneously with robotics, biotechnology and decentralized computing – expected to rival or exceed post–World War II infrastructure and economic growth.
As GDP expands, consumption rises and therefore requires more production, distribution and inventory management. For logistics and other industrial-focused sectors, this historical relationship has been remarkably consistent. Infrastructure spending tied to AI alone is reaching levels rarely seen in American history. Such capital deployment tends to produce secondary and tertiary economic effects that amplify demand across industries.
Reinventing Logistics and Real Estate
As economic expansion unfolds, Brody said that logistics systems must evolve. Two-day delivery, once revolutionary, is becoming ordinary. Expectations are compressing toward same-day or even two-hour fulfillment in major markets. Meeting these demands requires decentralization, real-time data integration, and flexible distribution nodes closer to consumers.
Modern warehouses increasingly function not only as storage facilities but as technology and energy hubs. On-site power generation, solar integration and data infrastructure position real estate as part of the digital backbone of the economy, he said, noting that returns management represents a particularly underdeveloped opportunity.
Brody said a period of supercycle transitions reward leaders who can recognize patterns rather than react to headlines. The two most valuable skills for navigating the coming decade are pattern recognition and critical thinking. Together, they enable decisionmakers to contextualize volatility within longer arcs of change rather than treating each disruption as unprecedented.
The next 730 days will likely test institutions and individuals alike, he concluded. Yet within the turbulence lies a familiar pattern – one that has historically led to renewed expansion. Understanding that pattern does not eliminate uncertainty, but it reframes it as part of a broader arc toward transformation and, ultimately, prosperity.
This post is brought to you by JLL, the social media and conference blog sponsor of NAIOP’s I.CON West 2026. Learn more about JLL at www.us.jll.com or www.jll.ca.
