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The Global Impact of the AI Surge on Power and Governance

As AI transforms global dynamics, leaders must confront its profound implications for warfare and international relations.
G
Gopi
••6 mins read
AI as the New Global Disruptor
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1. AI as the New Technological Rupture

The rise of Artificial Intelligence marks a technological rupture comparable to the Industrial Revolution, with Large Language Models advancing at unprecedented speed. The intensifying U.S.–China rivalry in AI is accelerating global innovation and shaping strategic competition. The article highlights that AI is no longer a future prospect; it is already reshaping power equations, production systems and governance.

At Davos 2025, Canadian PM Mark Carney described the present as a “rupture, not a transition”, pointing to weaponised interdependence, coercive economic tools and exploited supply chains. The editorial argues that AI — though absent in his speech — is the real rupture capable of redefining the international order. Ignoring its implications risks blindsiding leaders to a transformative force altering diplomacy, economics and conflict.

Despite its rapid spread, political leaders remain under-informed about AI’s societal and geopolitical consequences. Even as industry leaders see AI as a strategic enabler, global policy debates still focus more on opportunities than existential risks. This mismatch between technological velocity and political awareness increases systemic vulnerability.

AI represents a structural shift in global power; failing to integrate it into national and global governance frameworks risks destabilising institutions, disrupting economies, and weakening state capacity.

2. Expanding Influence of AI Across Domains

AI is rapidly enhancing information flows, strengthening surveillance architectures, transforming communication systems and empowering analytical decision-making frameworks. Its pervasiveness gives it the capacity to influence civilisational networks more deeply than any previous technology.

The technology operates at granular levels and is itself evolving in phases — from replicating speech, vision and reasoning to developing increasingly autonomous capabilities. This evolution challenges established norms of technology regulation and introduces complex governance dilemmas.

Several actors, including judicial institutions, have already expressed caution. Concerns about hallucinations, data errors and fabricated outputs underscore risks of premature integration into sensitive decision-making spaces. These early warnings highlight that AI’s societal integration is ahead of institutional readiness.

Unchecked expansion of AI across civilian systems may create critical dependencies, weaken institutional checks, and amplify the consequences of systemic errors.

3. Militarisation of AI and the Changing Nature of Warfare

AI is triggering a paradigm shift in military affairs, moving warfare from manned to unmanned systems and from human-controlled platforms to autonomous decision-making machines. AI-enabled drones, cyberweapons, and uncrewed ground vehicles are redefining battlefield tactics by enabling autonomous targeting, navigation and operations.

Ukraine’s use of AI-supported technologies — from night-vision-equipped quad bikes to improvised explosive drones — demonstrates the asymmetric power of AI-enabled combat. These technologies have allowed Ukraine to resist a significantly superior conventional force, signalling a transformation comparable to the introduction of tanks in World War I.

As militaries worldwide begin adopting AI-driven systems, the battlefield is becoming multi-domain, integrating space, cyber and electronic warfare. AI promises automation of operational decisions, which could compress decision timelines and reduce human oversight, increasing risks of escalation and error.

If militarised AI evolves without accountability, it could lead to uncontrolled autonomous systems, asymmetric destabilisation and accidental conflict escalation.

4. Asymmetric Power and Dystopian Risks

AI’s asymmetric nature shifts power from traditional militaries to any actor capable of building or acquiring autonomous technologies. This democratisation of destructive capability heightens security risks, enabling small groups, rogue actors or non-state entities to deploy highly lethal tools.

The editorial warns of doomsday possibilities — such as autonomous drone swarms targeting civilians — which could overwhelm conventional defences. As states inevitably pursue such systems, AI becomes a force multiplier capable of amplifying violence, surveillance and coercion.

The risk is not merely misuse but the emergence of AI systems that exceed human oversight. The article underscores that no one can predict when AI might become fully autonomous, creating existential risks for decision-making, sovereignty and human control.

Without proactive oversight, AI may generate concentrations of power that bypass human institutions, creating vulnerabilities ranging from terrorism to ungoverned autonomous escalation.

5. AI Beyond Warfare: Diplomacy, Intelligence and Global Governance Gaps

Beyond the battlefield, AI is emerging as a tool of diplomacy, intelligence analysis and statecraft. It enhances predictive analytics, crisis response and conflict monitoring, thereby influencing international relations. However, its adoption is outpacing the development of governance norms, regulatory mechanisms and ethical frameworks.

Space, cyber and electronic warfare systems increasingly integrate AI, creating high-speed, automated decision webs. This reduces human intervention windows and introduces uncertainty into global security structures. The mismatch between technological capability and institutional capacity is a major governance challenge.

The article highlights that global institutions intended to regulate disruptive technologies have not evolved in parallel. The absence of multilateral consensus on AI governance risks fragmentation and uncoordinated national-level controls.

If governance frameworks lag behind technological adoption, institutions risk losing relevance, and unregulated AI may reshape global diplomacy in unpredictable ways.

6. Need for Oversight, Regulation and Ethical Governance

The article calls attention to the necessity of checks and balances to prevent AI from operating beyond human control. With its ability to process vast data, generate predictive scenarios and autonomously choose pathways, AI needs robust institutional oversight. Scientists, political leaders and regulatory bodies must collaborate to build frameworks that balance innovation with safety.

The focus must shift from reactive caution to anticipatory governance. Ethical standards, accountability mechanisms and operational safeguards are essential to ensure that AI contributes positively to human development. Any delay risks entrenching uncontrolled technological dynamics.

“The real risk with AI isn’t that it will become evil, but that it will become competent.” — Nick Bostrom
(Authentic quote, relevant to governance of autonomous systems)

Establishing oversight is crucial to preventing AI from undermining human agency; without governance, the pace and autonomy of AI systems could outstrip institutional capacity to control them.

Conclusion

AI is the defining disruptor of the 21st century, reshaping power, warfare, economics and governance. It is no longer a tool but a systemic force with the capacity to alter global order. Effective oversight, multilateral cooperation and anticipatory governance remain essential to harness AI’s benefits while preventing destabilisation. The long-term stability of international systems will hinge on how states and institutions respond to this technological rupture.

Quick Q&A

Everything you need to know

Describing AI as a ‘rupture’ implies a fundamental break from existing political, economic, and security arrangements rather than a gradual evolution. Unlike previous technological shifts, AI simultaneously transforms multiple domains—economic production, military power, diplomacy, intelligence, and governance. Its speed of advancement, especially through Large Language Models (LLMs) and autonomous systems, challenges the ability of institutions to adapt incrementally.

Historically, the Industrial Revolution reshaped economic structures over decades. In contrast, AI compresses transformation into years. It affects not only labour markets but also decision-making itself, potentially shifting power from human institutions to algorithmic systems. This creates instability in global hierarchies and strategic balances.

Thus, AI constitutes a rupture because it threatens to upend traditional sovereignty, redefine warfare, and reconfigure global power asymmetries, rather than merely modernising existing systems.

AI has become a strategic asset comparable to nuclear technology in the 20th century. The rivalry between the U.S. and China stems from AI’s capacity to enhance economic competitiveness, military superiority, and digital influence. Control over advanced AI models, semiconductor supply chains, and data ecosystems determines global technological leadership.

Recent advances by Chinese AI firms have intensified competition, demonstrating that innovation is no longer monopolised by Western entities. AI’s application in surveillance, cyber warfare, and autonomous weapons gives it direct geopolitical relevance. Countries that master AI can leverage it for economic coercion, intelligence dominance, and narrative shaping.

Therefore, AI rivalry is not merely technological—it is about shaping the rules, norms, and power distribution of the 21st-century international order.

AI is redefining warfare by shifting from human-centric combat to autonomous and semi-autonomous systems. Unmanned aerial vehicles (UAVs), AI-driven cyber weapons, and intelligent ground vehicles now operate with minimal human intervention. These technologies enhance surveillance, targeting precision, and operational speed.

The Ukraine conflict offers a real-world example. Ukraine’s use of AI-enabled drones and adaptive battlefield analytics allowed it to counter a conventionally superior Russian force. This demonstrates the asymmetric power potential of AI, where smaller actors can offset traditional military disadvantages.

However, this transformation also raises concerns about autonomous lethal systems making decisions without human oversight. The integration of space, cyber, and electronic warfare through AI represents a paradigm shift comparable to the introduction of tanks in World War I.

The militarisation of AI presents both strategic advantages and profound risks. On the positive side, AI enhances decision-making speed, predictive analytics, and crisis response. It can reduce human casualties by replacing soldiers with unmanned systems.

However, risks include:

  • Autonomous weapon proliferation beyond state control
  • Potential use by non-state actors and terror groups
  • Escalation of conflicts due to rapid, automated responses
  • Lack of accountability in machine-led decisions
The dystopian possibility of autonomous drone swarms attacking civilian populations illustrates the scale of danger.

Moreover, AI could outpace regulatory institutions, creating a governance vacuum. The absence of global norms comparable to nuclear non-proliferation treaties increases uncertainty and instability.

Beyond warfare, AI is increasingly used in diplomacy, intelligence analysis, fintech, healthcare, and judicial processes. For instance, AI assists in predictive diplomacy by analysing geopolitical trends and crisis signals. In healthcare, AI enhances diagnostic precision and treatment planning.

However, concerns arise in areas such as the judiciary. Excessive reliance on AI tools may lead to ‘hallucinations’—fabricated citations or flawed reasoning—potentially resulting in miscarriages of justice. This highlights the tension between efficiency and accountability.

Thus, while AI offers transformative opportunities across sectors, its integration requires institutional safeguards to maintain transparency, reliability, and ethical standards.

An effective AI governance framework must balance innovation with accountability. First, governments should establish national AI strategies focusing on sovereign technological capabilities, secure data infrastructure, and ethical standards. Building ‘sovereign stacks’ ensures resilience against external technological coercion.

Second, regulatory mechanisms should include:

  • Mandatory human oversight in critical decision-making systems
  • Transparency and audit requirements for AI algorithms
  • International cooperation for norms on autonomous weapons
  • Investment in AI literacy and institutional capacity-building

Finally, global dialogue akin to arms-control regimes is necessary to prevent runaway AI militarisation. Collaboration among scientists, policymakers, and industry leaders is crucial to ensure AI remains a force for collective progress rather than destabilisation.

Attribution

Original content sources and authors

MN
M.K. Narayanan
TH
The Hindu
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