In less than a decade, the European Union has undergone a remarkable shift in how it perceives and regulates artificial intelligence (AI). What was once framed primarily as a driver of economic growth, innovation, and industrial competitiveness is now increasingly treated as a matter of security, sovereignty, and societal resilience.

This new paradigm—what scholars and policymakers describe as Europe’s “defensive turn”—is rooted in rising concerns that AI is being weaponized for disinformation, espionage, election manipulation, and hybrid warfare. From the corridors of Brussels to NATO headquarters, AI is no longer discussed merely in terms of productivity and market leadership, but as a strategic domain of geopolitical competition.

This paper explores the drivers of this transformation, the policies that embody it, the tensions it generates, and the prospects for a coherent European AI doctrine that balances security, democracy, and innovation.

1. From Growth Narrative to Security Imperative

When the European Commission unveiled its AI Strategy in 2018, the focus was overwhelmingly economic: boosting investment, supporting research, and ensuring Europe would not fall behind the United States and China in the global race for AI leadership.

By 2022, however, the discourse began to shift. The rapid diffusion of large language models (LLMs), deepfake technologies, and AI-assisted cyberattacks underscored the vulnerabilities of open societies. EU policymakers increasingly warned that AI was no longer just a tool of economic modernization but also an instrument for authoritarian influence and hybrid conflict.

A senior NATO official summarized the changing mood:

“Energy security and AI security are now treated with the same urgency. Both can destabilize societies if left unregulated.”

2. Disinformation, Elections, and Democratic Resilience

One of the clearest triggers for Europe’s defensive turn was the realization that AI-enabled technologies had become central to information warfare.

• According to the EU Agency for Cybersecurity (ENISA), the 2024 European Parliament elections witnessed over 5,000 AI-generated disinformation assets—texts, videos, and deepfake images—originating from networks linked to Russia and China.
• In countries like Germany, France, and Sweden, AI-driven “synthetic media” became a headline issue, with fears that deepfakes could distort voter perceptions in real time.
• Intelligence reports indicated that disinformation campaigns were not just targeting the EU broadly but also specific demographics, such as youth and immigrant communities, with tailored narratives designed by machine-learning algorithms.

The ability of AI to create hyper-realistic but false content threatens one of Europe’s core strengths: the public trust in democratic institutions.

3. Europe’s Policy Responses

(a) Regulatory Track – The AI Act

The EU responded by adopting the AI Act in 2024, the world’s first comprehensive legal framework on AI. The legislation classifies applications by risk level, imposing strict obligations on “high-risk” uses such as:

• biometric surveillance,
• political content manipulation,
• and AI systems used in critical infrastructure.

By embedding human rights and accountability into AI governance, the AI Act positions Europe as a norm entrepreneur, setting global standards much as it did with the GDPR in data protection.

(b) Security Track – AI and NATO/EU Cooperation

Parallel to regulation, European institutions expanded the security dimension of AI governance:

• Establishing AI-enabled disinformation monitoring centers in the Baltics and Poland.
• Integrating AI threat detection into NATO’s Hybrid Threats Division.
• Launching EU–NATO joint programs to train personnel in countering AI-assisted hybrid attacks.

As one EU defense official noted:

“This is not just about regulating markets; it is about defending democracy itself.”

4. Internal and External Tensions

Despite broad consensus on the need for stronger AI governance, the shift has exposed deep tensions:

• Within Europe:
  Tech companies argue that over-regulation risks stifling innovation and making Europe less competitive against the U.S. and China. Start-ups in particular warn that compliance costs could drive them out of the market.
• With the United States:
  Washington has expressed concerns that the AI Act places excessive burdens on American firms. U.S. policymakers argue for voluntary, industry-led standards, clashing with Europe’s legalistic model.
• With Authoritarian Powers:
  Russia and China, meanwhile, exploit the transatlantic divergence, using AI-enabled tools to strengthen their influence operations in Africa, the Middle East, and Eastern Europe, while accusing the EU of “technological protectionism.”

5. Toward a European AI Doctrine

The emerging picture suggests that Europe is crafting what could be described as a “Digital Defensive Doctrine”, built around three pillars:

1. Securing the Information Sphere
   • Developing AI-powered systems to detect, flag, and neutralize disinformation before it spreads.
   • Supporting independent fact-checking networks with EU funding and cross-border data access.
2. Constraining Military and Surveillance Uses
   • Establishing red lines on the use of autonomous weapons and AI-assisted repression.
   • Advocating for international norms that prohibit AI-driven human rights abuses.
3. Promoting Transparency and Accountability
   • Requiring companies to disclose training data, algorithmic processes, and risk assessments.
   • Enforcing clear liability frameworks when AI systems cause societal harm.

This doctrine reflects a strategic recognition: future wars will not only be fought on physical battlefields but also in data streams, media ecosystems, and algorithmic spaces.

6. Policy Recommendations

To consolidate its defensive turn, Europe should:

1. Establish a European AI Security Center – a permanent hub linking national intelligence agencies, ENISA, and NATO to coordinate monitoring and response to AI-enabled threats.
2. Develop Transatlantic Protocols on AI Security – aligning with the U.S. on hybrid threat responses while preserving Europe’s regulatory independence.
3. Support Ethical Innovation – through funding mechanisms that reward start-ups and firms committed to “responsible AI” practices.
4. Close Legal Loopholes on Dual-Use AI – ensuring that technologies labeled as “civilian” (e.g., agricultural drones, surveillance tools) cannot be diverted for military or repressive purposes.
5. Empower Civil Society – by investing in media literacy programs, fact-checking initiatives, and NGO capacity-building to counter disinformation at the grassroots level.

Conclusion

Europe’s defensive turn in AI governance is not just about technology. It is about the future of democracy, sovereignty, and security on the continent. By moving decisively to regulate high-risk applications, strengthen defenses against hybrid threats, and promote ethical innovation, the EU is positioning itself as a global leader in responsible digital governance.

Yet the road ahead is fraught with dilemmas: balancing security with innovation, autonomy with transatlantic alignment, and regulation with competitiveness. What is clear is that the stakes are no longer abstract. In the age of algorithmic influence and AI-enhanced disinformation, the resilience of European societies—and the credibility of democratic governance itself—are on the line.