Diplomacy today has entered an age defined by artificial intelligence, real-time media, and autonomous systems. AI will not replace diplomacy. But it will fundamentally alter how it is practiced, and who practices it well. The future of diplomacy will hinge on whether practitioners can integrate machine speed with informed and educated human insight—preserving empathy, trust, and strategic depth.
To understand this moment, it helps to look backward. In 1997, the Internet was still a curiosity. Foreign ministries relied on fax machines, diplomats carried no smartphones, and classified reporting assumed a monopoly on information. Few imagined that within a decade, the Internet would reshape commerce, journalism, and politics—and that within two, it would alter revolutions, elections, and warfare.
Today, AI sits at a similar crossroads. It is not just a faster technology, it is a structural force that compresses time, expands scale, and blurs the boundary between action and reaction. Diplomacy must now contend with information systems that operate beyond the speed of deliberation and reward virality over validity. In this era of ubiquitous information, diplomacy must once again become a discipline of judgment.
From the CNN Effect to Real-Time Reality
For much of the past twenty years, diplomatic missions have been chasing the “CNN effect” — the ability to react instantly to breaking news, often under pressure from their capitals, and with imperfect information. But diplomats’ battle to keep up with the speed of news was not lost to cable television. It was lost to cell phones, livestreams, and crowd-sourced intelligence.
Now comes a deeper transformation. Generative AI and autonomous systems are not just accelerating how diplomats work, they are reshaping what diplomacy is.
The structured information environments in which diplomats once operated have given way to fluid, constantly shifting domains. As Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher noted in The Age of AI and Our Human Future, “Diplomacy, which used to be conducted in an organized, predictable arena, will have vast ranges of both information and operation.”1 One of the most immediate challenges is information overload. Diplomats today are inundated by open-source data, satellite imagery, public sentiment metrics, and real-time (dis)information campaigns. Merely reporting what happened no longer adds value. Relevance now lies in curating, synthesizing, and explaining data to decision-makers.
Some are already using AI to conduct complex analyses and aggregate large volumes of field data. But this is the exception, not the norm. The use of AI to simulate stakeholder behavior remains largely aspirational, with few practical applications in diplomatic settings. Most foreign ministries remain in the early stages of experimenting with AI and struggle to integrate it meaningfully into their work.2
Digital literacy for diplomats is no longer optional. It requires a complete redesign of diplomatic training and structure. Some ministries have begun issuing guidance on AI use in diplomacy, and a few are experimenting with internal training programs or strategic foresight initiatives. But no foreign service has yet established a true Diplomatic Academy for a Digital World. That absence is telling. In a world of machine-speed geopolitics, institutional lag is no longer a bureaucratic nuisance; it is a strategic liability.
Diplomats, it should be remembered, are rarely decision-makers themselves. They inform, interpret, and frame, but most decisions are made elsewhere, usually at headquarters and by political leaders. This creates an intrinsic lag between the pace of data and the rhythm of diplomacy. Yet AI’s impact varies significantly across different diplomatic roles.
Policy-facing diplomats in major capitals, such as Washington or Brussels, operate in environments where real-time analysis and rapid synthesis of complex information streams can directly influence high-stakes decisions. Here, AI’s capacity to process open-source intelligence, track sentiment shifts, and model policy scenarios offers immediate value. In contrast, in many consular or crisis settings, it is still the human dimension — trust, relationships, contextual awareness — that proves more valuable than raw computational output.3
While diplomacy is quintessentially a slower, more deliberate practice, diplomats spend much of their time responding to last-minute requests driven by leadership deadlines or whims. AI can help generate such answers quickly, but it also risks encouraging even more of these ad-hoc demands, intensifying time pressure rather than easing it — and leaving even less room for strategic deliberation and informed advice. The tension between machine speed and diplomatic deliberation points to a fundamental question: how do we preserve the essential human elements of diplomacy while harnessing AI’s analytical power? The answer lies not in choosing between wisdom and speed, but in redesigning diplomatic practice to integrate both.
Diplomacy Beyond the Algorithm
AI will not replace the diplomat. But it will change what makes one effective.
The diplomat of the future will not be a slower version of an algorithm. The human element — judgment, memory, empathy, and trust — remains essential. But in the AI era, these qualities must be reimagined.4 The 21st century diplomat, as Henry Kissinger argued in Genesis: Artificial Intelligence, Hope, and the Human Spirit, “AI will challenge our ability to understand ourselves by confronting us with nonhuman ways of thinking.”5 That confrontation will not be technical: it will be political, strategic, and human.
Paradoxically, AI may allow diplomacy to return to older, more human roots. Like in the age of Metternich, the value of diplomacy will be judged less by speed than by the quality of personal relationships and the ability to earn trust. When machines generate summaries and simulate options, human rapport, intuition, and credibility become decisive assets.
Looking ahead, AI might even enable a return to analytical depth, reviving a tradition of policy writing reminiscent of George Kennan’s 1946 ‘Long Telegram’—a landmark 8,000-word cable from Moscow that explained Soviet behavior and outlined the basis for America’s strategy of containment. Its power lay not just in its content but in its form: a deeply analytical, tightly argued memo that became a model for how diplomats could shape grand strategy through rigorous interpretation and persuasive writing. While generative tools can produce technically accurate summaries and data, only human diplomats can add the nuance and strategic judgment necessary to inform and influence policy.6 In that sense, AI is not a death sentence for diplomacy, it is an invitation to restore its core purpose.
Consider the Cuban Missile Crisis. In October 1962, over the course of thirteen tense days, American diplomats, intelligence officials, and military advisors scrambled to make sense of conflicting reports, verify Soviet intent, and design a response that avoided nuclear escalation. Every move was laced with ambiguity. Every pause was strategic.
Imagine the same crisis today: AI-generated decision trees modeling millions of escalation scenarios, synthetic images flooding the information space, real-time satellite feeds prompting algorithmic alerts, and deepfakes of Khrushchev or Kennedy circulating before either leader could make a statement. Would accelerated information processing have produced better decisions, or simply heightened the risk of catastrophic miscalculation?
We need not imagine — we can observe. In Ukraine, open-source intelligence analysts using AI tools track troop movements in near real-time, while generative models produce both genuine battlefield documentation and sophisticated disinformation. Contemporary conflicts demonstrate how AI simultaneously clarifies and obscures, accelerates insight and amplifies confusion.
AI might have helped clarify options in 1962. But it also might have made ambiguity — a tool of deliberate diplomacy — impossible. The challenge would not have been information scarcity, but narrative control. And it is precisely here that human judgment still matters most: in deciding what not to do, when not to speak, and how to let silence signal resolve.
Conflict in the Machine Age
Why focus on conflict? Because it remains the essence of diplomacy: to prevent war or to manage it. And here too, AI is rewriting the rules.
On the battlefield, AI is shortening innovation cycles and enabling autonomous systems to deliver strategic effects beyond the speed of human response. This acceleration is not just about tactics; it marks a strategic shift in the very foundation of global stability. As Palantir’s Alex Karp has observed, “One age of deterrence, the atomic age, is ending, and a new era of deterrence built on AI is set to begin. The risk, however, is that we think we have already won.”7 Swarms of drones, algorithmic targeting, and multi-domain coordination are no longer science fiction. They are reshaping the nature of warfare. Consider how quickly the Pentagon’s collaboration with Silicon Valley, as described by Christopher Kirchhoff and Raj Shah in their book Unit X, transformed battlefield innovation from 18-month acquisition cycles to 18-day deployments.8 When conflict accelerates at this pace, policy that lags becomes irrelevant.
But perhaps more consequential is the fact that private technology companies now act as geopolitical players. Elon Musk’s Starlink system, for instance, became a lifeline for Ukrainian forces after Russia’s invasion, demonstrating how a single company could shape the course of a war.9 Similarly, platforms like Meta and X influence political discourse and information flows across entire regions, while firms such as OpenAI, Google, and Anthropic manage the global spread of knowledge through their foundation models. Google’s quiet transition from the motto “Don’t be evil” to the more prescriptive “Do the right thing” illustrates this broader evolution: companies can no longer define themselves simply by avoiding harm but must assume responsibility for the geopolitical consequences of their technologies.10 These firms are no longer neutral providers of infrastructure; they are active participants in shaping geopolitics. “Doing the right thing” will depend on governments, academia, and the private sector working together to capture AI’s benefits while managing its risks.11
Authoritarian regimes are weaponizing this shift, employing private firms and their technological products as instruments of statecraft, exporting digital surveillance and dependency as forms of influence. The boundary between commercial and strategic has blurred, creating new categories of diplomatic engagement. Diplomats must now engage not just governments, but machines and markets — a layered conversation with stakeholders including defense contractors, venture capitalists, and software engineers. The strategic map is no longer drawn only in embassies. It is coded in labs, litigated in standards bodies, and trained in servers.
This shift also raises fundamental questions about how different political systems will employ AI in diplomacy. Authoritarian regimes are already demonstrating how these technologies can consolidate control, obscure truth, and export digital dependencies, from algorithmically powered surveillance networks to censorship-enhancing language models deployed as instruments of geopolitical influence.
Democracies face a different challenge. The question is not only how to adopt AI, but how to do so without undermining the principles they aim to protect. For democracies, the central, ongoing challenge is to adopt AI in ways that preserve transparency and accountability, even as the technology pushes speed and opacity.12
Negotiating the Future
So, what does AI-driven diplomacy look like? It will be more about predicting than reacting, more about building trust than making quick deals. It will be more relational than transactional, and more focused on shaping events than reporting them.
Building new institutions — Digital Diplomatic Academies, AI-literate embassies, and public-private partnerships — should be a natural bureaucratic response. But more important will be ensuring that diplomats acquire the skill sets and habits required to operate effectively in a hybrid environment shaped by both code and context.
Above all, it means remembering what diplomacy has always been: the art of navigating conflict without losing the human thread. AI will not end that need. It will only sharpen it.
As with every technological revolution, the real question is not what the tools can do, but what we choose to do with them. Diplomacy is ultimately a human function, defined not by platforms but by purpose. If AI enables us to listen more closely, think more critically, and act more wisely, then the technology will have served its highest diplomatic calling: to amplify the best of human agency, not automate it away.
The future of diplomacy will belong not to those who master every platform, but to those who can weave human insight with machine capacity, across borders, domains, and disciplines. We are not in an era of change, we are in a change of era. How we respond will determine whether AI becomes diplomacy’s greatest tool or its greatest threat.
The views expressed in this article are solely those of the author and do not reflect the official position of the Czech government.
- Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher, The Age of AI and Our Human Future (Back Bay Books, 2022). ↩︎
- Marta Konovalova, “AI and Diplomacy: Challenges and Opportunities,” Journal of Liberty and International Affairs 9, no. 2 (2023): 521. ↩︎
- D.T. Varela, “Diplomacy in the Age of AI: Challenges and Opportunities,” Journal of Artificial Intelligence and General Science 2, no. 1 (2024): 102-103. ↩︎
- Varela, “Diplomacy in the Age of AI,” 106-107. ↩︎
- Henry A. Kissinger, Craig Mundie, and Eric Schmidt, Genesis: Artificial Intelligence, Hope, and the Human Spirit (New York: Little, Brown and Company, 2024), 54. ↩︎
- Hamidreza Mostafaei, et al., “Applications of artificial intelligence in global diplomacy: A review of research and practical models,” Sustainable Futures 9, (2025): 2-3. ↩︎
- Alexander C. Karp and Nicholas W. Zamiska, The Technological Republic: Hard Power, Soft Belief, and the Future of the West (Crown Currency, 2025). ↩︎
- Raj M. Shah and Christopher Kirchhoff, Unit X: How the Pentagon and Silicon Valley Are Transforming the Future of War (Scribner, 2024). ↩︎
- Adam Satariano, et al., ”Elon Musk’s Unmatched Power in the Stars,” The New York Times, July 28, 2023. ↩︎
- Alistair Barr, “Google’s ‘Don’t Be Evil’ Becomes Alphabet’s ‘Do the Right Thing’,” The Wall Street Journal, October 2, 2015. ↩︎
- Mir Abrar Hossain, et al., “AI and Machine Learning in International Diplomacy and Conflict Resolution,” Advanced International Journal of Multidisciplinary Research 2, no. 5 (2024): 8. ↩︎
- Konovalova, “AI and Diplomacy,” 523. ↩︎

