The Premise: Artificial intelligence is often portrayed as the new engine of power. Yet technologies only become decisive when they are embedded within systems capable of aligning institutions, research, capital, industry, and governance. The definition of the twenty-first century may therefore be less technological than civilization.
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As competition around artificial intelligence intensifies, a particular narrative is increasingly shaping political, economic, and strategic discourse. The powers of the twenty-first century, we are told, will be those that master the most advanced technologies. Algorithms, semiconductors, computing infrastructure, and data-processing capabilities are becoming the new determinants of power.
This view possesses considerable intuitive appeal. After all, the major economic transformations of history have often been associated with technological breakthroughs: the steam engine, electricity, the internal combustion engine, computing, and the internet.
Yet this perspective contains a blind spot.
It assumes that technology mechanically produces power.
History suggests something more complex.
Technologies expand the realm of possibility. They open new trajectories. They create opportunities. But they do not, by themselves, determine a society’s ability to transform those opportunities into enduring power.
Between innovation and power lies an often-overlooked variable: coordination.
The defining competition of the twenty-first century may ultimately be less about technology itself than about the ability of human systems to coordinate around technology.
History offers many examples of this distinction.
Imperial China possessed several major innovations long before Europe, including gunpowder, the compass, and printing. At times, its technological lead was substantial. Yet this advantage did not translate into the kind of enduring global dominance later achieved by certain European powers.
Sixteenth-century Spain controlled unprecedented flows of wealth. The massive influx of silver from the New World provided extraordinary resources. Yet the possession of resources did not automatically generate lasting economic power. The institutional and productive capacities required to transform wealth into a systemic advantage remained more limited. These resources financed imperial power, but they proved far less effective in building the economic, industrial, and financial institutions capable of converting wealth into a durable collective advantage.
The Soviet Union offers another instructive example. It achieved remarkable scientific feats. It launched the first artificial satellite and sent the first human into space. Its researchers competed with the world’s best scientists. Yet economic, institutional, and political coordination failures ultimately constrained its capacity to adapt.
These examples do not suggest that technology is secondary.
They suggest something else.
Power never emerges from technology alone.
It emerges when institutions, organizations, financing mechanisms, infrastructures, and decision-making systems function coherently enough to transform technical capability into collective capability.
Technology is not power.
It is potential for power.
This distinction becomes particularly important today.
When we observe the massive investments being poured into artificial intelligence, our attention naturally gravitates toward the models themselves: their sophistication, scale, performance, and emerging capabilities.
Yet the models represent only the visible part of the equation.
Behind every breakthrough lie energy infrastructures, computing facilities, global supply chains, educational systems, financial markets, industrial capabilities, regulatory frameworks, research laboratories, and governance mechanisms.
No single actor controls this entire ecosystem.
Artificial intelligence is therefore a profoundly systemic technology.
Its deployment requires simultaneous coordination across domains that have long operated according to distinct logics: scientific research, finance, industry, infrastructure, energy, Defense, regulation, and governance. It also depends on collective learning capabilities, mechanisms of trust, and sufficient legitimacy to sustain action over time.
The performance of a system depends less on any individual component than on the quality of the relationships between them.
The more powerful technologies become, the less the decisive factor remains.
Instead, they increasingly reveal the quality of the human systems responsible for directing them.
Viewed from this perspective, current debates about AI point to something that extends far beyond artificial intelligence itself.
They reveal a deeper transformation in power.
Throughout much of the industrial era, the accumulation of resources represented the primary limiting factor: coal, steel, oil, labor, and capital.
Today, resources remain essential, but they are no longer necessarily the scarcest variable.
Data, algorithms, and computing capacity can be accumulated.
The ability to coordinate complex human systems over time may become the true limiting factor of power.
For centuries, coordination primarily meant organizing resources, territories, and populations.
Today, systems must simultaneously coordinate information flows, digital infrastructures, global value chains, rapidly evolving technologies, and actors pursuing divergent interests.
Complexity is increasing faster than the institutional capacities designed to govern it.
How do we coordinate thousands of organizations, align different time horizons, and maintain a shared direction amid uncertainty?
How do we balance innovation, security, efficiency, and legitimacy?
How do we act collectively when the environment becomes more complex than the structures designed to govern it?
These questions are less technical than profoundly human.
They concern governance, institutions, mechanisms of cooperation, trust, and, perhaps most importantly, our ability to sustain a shared representation of reality.
Coordination always depends on some form of common reality.
Actors must share certain fundamental assumptions about what matters, what threatens them, and what deserves protection.
Yet this capacity appears increasingly strained.
Artificial intelligence provides a striking illustration. Depending on the observer, it is viewed as an economic revolution, a question of sovereignty, an existential risk, or an issue of social justice.
Multiple realities coexist around the same technology.
The same phenomenon can be observed in debates surrounding climate transition or international security, where disagreements often concern not the solutions themselves but the very definition of the problem.
The challenge facing contemporary societies is not a lack of information.
We possess more information than at any point in history.
The challenge is our growing difficulty in transforming this abundance of information into sufficiently stable shared understandings capable of supporting collective action.
Current debates around artificial intelligence in Europe illustrate this tension. Some view regulation as a necessary condition for sovereignty and trust. Others see it primarily as a threat to competitiveness and innovation. The disagreement concerns not only the policy response but the nature of the strategic challenge itself.
A similar dynamic is visible in questions of security and defense. Across many European countries, perceptions of threat have increased significantly in recent years. Yet a gap remains between recognizing the risk and reaching consensus on appropriate responses, acceptable levels of effort, or the forms of solidarity required.
An organization already capable of collective learning may see its strengths amplified.
A fragmented organization may see its incoherences amplified as well.
An administration capable of coordinating multiple actors may become more effective.
An administration paralyzed by persistent conflict may become even slower.
Artificial intelligence does not eliminate governance problems.
It makes them more visible.
It acts as a systemic revealer.
It exposes the real capacities of a human system to cooperate, decide, and adapt.
This may be why debates about AI are often more important than AI itself.
They force us to look beyond technology and examine the human architecture surrounding it.
The question therefore becomes much broader.
How do contemporary societies maintain their capacity for collective action under pressure?
How do they exercise judgment in environments saturated with information?
How do they build shared priorities despite fragmentation?
How do they preserve the trust required for cooperation?
These questions concern not only states, but also companies, universities, international institutions, and local governments.
Everywhere, the same tension emerges.
Complexity is increasing faster than our traditional mechanisms of coordination.
Power itself may therefore be changing in nature.
What will distinguish the most resilient systems tomorrow may not be their ability to develop the most sophisticated technologies, but their ability to maintain enough coherence to use those technologies collectively, strategically, and over time.
The twenty-first century may ultimately deliver an intellectual surprise.
We believe we are witnessing a technological competition.
What we may be witnessing is competition in human coordination.
If that is the case, the most important question facing leaders, public officials, and institutions is no longer:
“How do we accelerate innovation?”
But rather:
“Are we still capable of acting together as everything accelerates?”
About Human Dynamics Group
Human Dynamics Group explores how contemporary technological, cognitive, organizational and geopolitical transformations are reshaping human systems.
Our work focuses on:
cooperation dynamics ;
leadership transformation ;
regulation mechanisms ;
collective tensions ;
discernment capabilities ;
and the new forms of human organization emerging under acceleration.
Through publications, research, analyses, conversations and strategic interventions, we seek to better understand what weakens — or strengthens — human capacities to:
perceive,
cooperate,
decide,
and sustain collective cohesion in increasingly complex environments.
→ To follow our work or connect with us: https://bit.ly/4fDpkt7