Predictions

8 Jan 2026 14:00h - 15:00h

Session at a glance

Summary

This webinar discussion between Su Sonia and Professor Jovan Kurbalija from the Diplo Foundation focused on forecasting developments in AI and digital domains for 2026. Kurbalija emphasized that the technology sector cannot remain isolated from broader geopolitical and socioeconomic shifts, predicting a “dynamic ride ahead” with significant impacts on society, knowledge, education, and work.


The discussion was structured around ten key areas: technology, geostrategy, governance, security, human rights, economy, standards, content, development, and environment. On the technology front, Kurbalija identified three critical developments: AI becoming a commodity (citing Apple’s decision to slow their LLM development), the rise of bottom-up AI that can run on local systems, and the acceleration of open-source AI development. He argued that the real battle is not for data but for knowledge, emphasizing the importance of maintaining local control over institutional and personal knowledge rather than passing it to centralized systems.


Regarding geostrategy, Kurbalija predicted continued digital fragmentation around US, Chinese, and potentially European hubs, while highlighting the importance of “geo-emotions” – particularly the disconnect between skeptical US populations (38% enthusiasm for AI) and the enthusiastic tech industry. On governance, he expressed concern about the deteriorating ability of representatives to protect citizens’ digital interests, warning of potential “techno-slavery” where people lose agency over their knowledge and decision-making.


The discussion also covered security vulnerabilities in API connections, human rights challenges in the digital age, and environmental concerns about energy-intensive AI infrastructure. Kurbalija concluded by advocating for local AI development, knowledge preservation, and the need to maintain human agency in an increasingly AI-dominated world.


Keypoints

Major Discussion Points:

AI Technology Evolution and Democratization: The discussion covers three key technological shifts for 2026: AI becoming a commodity (with companies like Apple stepping back from developing their own LLMs), the rise of bottom-up AI (small language models that can run locally on corporate servers or mobile devices), and the acceleration of open-source AI development, particularly driven by Chinese innovations like DeepSeek.


Geopolitical Fragmentation and Digital Sovereignty: The conversation explores how geopolitical tensions are driving digital fragmentation around three major hubs (US, China, and potentially EU), with particular focus on the EU’s digital sovereignty movement and their push for open-source AI development as a path to independence from US and Chinese platforms.


Governance Challenges and the Failure of Protection Mechanisms: A central theme is the deteriorating ability of traditional governance structures to protect citizens’ digital interests, with concerns about “techno-feudalism” potentially evolving into “techno-slavery” as people lose control over their knowledge and data to centralized AI systems.


Knowledge vs. Data Protection: The discussion emphasizes a critical shift from focusing on data protection to knowledge protection, arguing that current AI systems are capturing not just raw data but human insights, reflections, and wisdom generated through discussions, work, and learning.


Environmental and Economic Sustainability Concerns: The conversation addresses the massive energy consumption of AI data centers and questions whether such enormous infrastructure investments are necessary, suggesting that smaller, localized AI systems could be more sustainable and effective for most use cases.


Overall Purpose:

The discussion aims to provide a comprehensive forecast for AI and digital developments in 2026, moving beyond typical hype-driven narratives to examine practical implications across ten domains: technology, geostrategy, governance, security, human rights, economy, standards, content, development, and environment. The goal is to help participants understand and prepare for the real challenges and opportunities ahead, while promoting Diplo Foundation’s approach of developing local, controllable AI systems.


Overall Tone:

The tone begins as analytical and educational but becomes increasingly cautionary and urgent throughout the conversation. While Kurbalija maintains an expert, measured delivery, there’s a growing sense of alarm about the concentration of AI power and the failure of governance mechanisms. The discussion shifts from technical forecasting to philosophical concerns about human agency and dignity. Despite the serious warnings about “techno-slavery” and governance failures, the tone remains constructive, with Kurbalija offering practical solutions like local AI development and the AI apprenticeship program. The conversation concludes on a more hopeful note, emphasizing human agency and the possibility of maintaining control through informed action and proper education.


Speakers

Su Sonia: Moderator of the webinar, works with Diplo Foundation


Jovan Kurbalija: Professor, Diplo Foundation’s founder and director, expert in digital diplomacy, internet governance, and AI policy


Additional speakers:


Andrijana Gavrilovic: Chat moderator, colleague at Diplo Foundation (mentioned but did not speak in the transcript)


Marilia Maciel: Colleague who has written about economic security in tech issues (mentioned but did not speak in the transcript)


Full session report

AI and Digital Developments Forecast for 2026

Introduction

This webinar discussion, moderated by Su Sonia from the Diplo Foundation, featured Professor Jovan Kurbalija providing an expert forecast of AI and digital developments expected by 2026. The conversation examined practical implications and systemic challenges across technology, geopolitics, governance, security, human rights, economy, and environment. Professor Kurbalija emphasized that the technology sector cannot remain isolated from broader geopolitical shifts, predicting a “dynamic ride ahead” with significant impacts on society, knowledge, education, and work.


Three Major Technology Trends

AI Commoditization

Professor Kurbalija identified AI’s transformation from cutting-edge technology to commodity status. He cited Apple’s decision to slow down their large language model development as evidence: “it is commodity, we have thousands of large language models, let’s focus on something else.” This shift means organizations will focus more on effective application and governance of existing AI technologies rather than developing new systems.


Bottom-Up AI Development

The rise of small language models capable of running locally represents a significant trend. Kurbalija argued this is “technically feasible, financially affordable, and ethically desirable.” The critical question becomes whether personal AI systems remain locally controlled or connect to centralized systems. “The key question won’t be about having your personal AI, but whether this personal AI on your mobile is connected to some central system or remains as your local AI completely controllable by you.”


Open Source AI Acceleration

Open-source AI development, particularly driven by innovations from companies like DeepSeek, is accelerating. This has become a battleground between countries, with the EU pursuing digital sovereignty through open-source development to reduce dependence on US and Chinese platforms.


Geopolitical Fragmentation

The discussion revealed continued digital fragmentation around three major hubs: the United States, China, and potentially the European Union. Each region is developing distinct approaches to AI governance and development. Kurbalija noted the importance of “geo-emotions” – the disconnect between public sentiment and industry enthusiasm, highlighting that public skepticism about AI could have significant political implications despite industry optimism.


Critical Governance Failures

Democratic Deficit in AI Governance

A central concern was the deteriorating ability of traditional governance structures to protect citizens’ digital interests. Kurbalija warned of potential progression from “techno-feudalism” to “techno-slavery,” explaining: “Feudalism, at least the peasants had some sort of agency. If we pass all of our knowledge to big systems, there could be new forms of slavery because slavery is not only physical – it’s basically not having the right to make a choice.”


Su Sonia observed that the “multi-stakeholder approach in internet governance is changing drastically,” with traditional models appearing inadequate for AI governance challenges.


Knowledge vs. Data Protection

Kurbalija made a crucial distinction between data and knowledge protection: “We speak a lot about data protection and it’s understandable, but data is just ingredients. What is happening currently is that our knowledge is captured… These are insights, reflections, some possible wisdom.” This knowledge capture has more profound implications for human autonomy than traditional data protection concerns.


Security Vulnerabilities

Professor Kurbalija identified a massive but under-recognized security vulnerability in API connections between AI tools. “We have millions and millions of connections where you connect to ChatGPT, to DeepSeek, to Anthropic Cloud. All of these tools that are connecting are potential backdoors for cybersecurity attacks.” He noted that Diplo alone has “close to 500 API connections,” illustrating the scale of potential vulnerabilities.


Su Sonia agreed this security issue is “completely under the radar despite its significance,” suggesting it might be intentionally ignored to avoid slowing AI development.


Human Rights and Cognitive Autonomy

The discussion moved beyond typical AI bias concerns to address fundamental rights related to cognition and knowledge. Kurbalija argued that “new human rights related to cognition, knowledge, and remaining humanly imperfect are being ignored.” Su Sonia raised concerns about “AI products increasingly targeting human emotions and intimacy,” highlighting new frontiers in human rights protection.


Economic and Professional Impact

Economic Security Integration

Kurbalija noted that “economic security is merging with traditional security concerns,” with tech issues increasingly treated as national security matters. This has implications for how AI development is regulated and international technology cooperation is managed.


Professional Transformation

AI’s impact on text-based professions like diplomacy could “end bureaucratic diplomacy and return focus to real negotiation skills.” However, Su Sonia expressed concern that “students using AI for essays are losing critical thinking skills,” highlighting broader challenges in maintaining human cognitive capabilities.


Environmental Sustainability

Kurbalija questioned whether “massive AI data farms consuming enormous energy and water resources” are necessary for most applications, asking: “Do I need super trooper AI platform when I can have my small AI basically being extension of my thinking?” Su Sonia explored “creative solutions like using server heat for residential heating” as potential mitigation approaches.


Standards and Interoperability

Learning from social media platform lock-in, both speakers emphasized developing “interoperable AI standards to avoid platform lock-in.” The Diplo Foundation’s AI Apprenticeship programme represents one approach, teaching participants to build their own AI systems rather than simply consuming existing platforms.


Content Regulation Challenges

The discussion identified “major tension between US tech companies and European Union regulations” as a significant 2026 challenge. Kurbalija supported national sovereignty over digital content regulation, while both speakers acknowledged the particular challenge of “AI-generated content like deepfakes” requiring new regulatory approaches.


Key Insights and Future Implications

The AI Pareto Paradox

Kurbalija introduced the concept that “80% investment brings 20% impact, 20% investment brings 80% impact” in AI development, suggesting that massive infrastructure investments may not be the most effective approach.


Personal Reflection on AI Impact

During Christmas reflection, Kurbalija analyzed his own vocabulary (3-4 thousand words, 30 cognitive frameworks), questioning whether AI systems capturing human knowledge represent a fundamental threat to cognitive independence.


Opportunities for Developing Countries

Contrary to conventional wisdom, Kurbalija suggested that “developing countries may benefit from slower AI adoption by focusing on knowledge preservation,” viewing deliberate approaches as potentially advantageous over rapid AI adoption.


Conclusion

The discussion revealed AI development at a critical juncture where technological capabilities advance rapidly while governance mechanisms lag behind. The commoditization of AI creates opportunities for decentralized development but risks further power concentration without proper management.


Kurbalija’s warnings about knowledge capture and potential “techno-slavery” represent the most significant long-term concerns, addressing fundamental questions about human agency and cognitive independence. The path forward requires balancing AI benefits with preserving human autonomy and democratic governance through local AI capabilities, knowledge sovereignty protection, and governance mechanisms capable of addressing AI’s complex challenges.


The next two years will be critical in determining whether AI development enhances human capabilities and preserves democratic values, or leads to new forms of technological dependence. The choices made now about AI governance, development approaches, and human rights protections will have lasting implications for human society’s future.


Session transcript

Su Sonia

in the next hour with professor Jovan Kurbalija, Diplo Foundation’s founder and director, we will try to envisage what will happen in the AI and digital domain in 2026. As we all know, the year started with many developments and updates. Some of them are shocking and the world is changing faster than ever before.

And it’s changing as we have this webinar and as we talk. So we want to know what will happen with the technological domain? Will it remain isolated from wider developments?

And Jovan, we all want to know what is your take?

Jovan Kurbalija

Hi Su Sonia, hi everybody. Well, a quick take is no, a tech domain cannot be isolated. It has been the last few days, in spite of huge geopolitical shifts around us, it cannot be isolated.

On the contrary, it will be even more profoundly impacted by geopolitical, geoeconomic, and other shifts than any other domain, because it impacts society, it impacts knowledge, education, works, and other domains.

Therefore, we should fasten our seatbelts. There will be quite a dynamic ride ahead of us in the tech domain.

Su Sonia

I agree 100%. Every day, looking at the news, and we also, as you all know, all our participants know, we gather them at the Digital Watch Observatory on a daily basis, and it’s almost impossible to keep up, especially when it comes to AI.

So Jovan, you will be guiding us through the forecast by focusing on 10 developments, I mean 10 subjects, and it’s technology, geostrategy, governance, security, human rights, economy, standards, content, development, and the environment.

So this is a great mapping. Could you please start with outlining the main developments as related to these 10 points, Jovan?

Jovan Kurbalija

Sure. Those 10 points have been a structure of our prediction sessions and forecasting for the last definitely six years, but we can add some other aspects that are missing, and probably, Susonja, what is important to mention is that this should be an interactive session in terms of the comments asked by participants, suggestions, what is missing.

But let’s start with technology, the first, and I would say the most profound impact, which is in the basis of these changes. There are a few strategic developments of relevance for our discussion. First one, AI is becoming commodity.

What does it mean? You go to the shop and you take AI. It’s not as trivial as it is, but it is rather easy.

And there was one interesting development which went under the radar, which illustrates this point. Apple basically started slowing down their attempts to develop Apple LLM. And their point is, hey, it is commodity, we have thousands of large language models, let’s focus on something else.

Let’s focus on the development around AI. And this will be probably the first major shift. So far we have been bombarded by the news about the latest LLM, how many sort of parameters and the other.

This is basically framing of discussion, which has its logic because of investment and the other things. This is the first aspect. AI is becoming commodity, impacting all layers from the top layer to the countries in battle for AI sovereignty to us as citizens.

Second point, which is extremely important, it is bottom-up AI. We are going to face in during 2026 small large language models that can run definitely on your corporate or institutional servers as we are doing at Diplo. But maybe I would bet even on your mobile.

Now the key question won’t be about having your personal AI, but the key question will be is this personal AI on your mobile connected to some central system, whether it is OpenAI, Cloudy or DeepSeek, or it remains as your local AI completely controllable by you.

This is the critical, I would say, issue for 2026. Does it matter? If it is connected to some central system, like most of the Internet of Things devices are Fitbits, you will be basically passing your knowledge to somebody else.

If it is stored on your system, you will be saving knowledge for yourself, for your organization, Ministry of Foreign Affairs, and the other actors. Bottom-up AI is technically feasible, financially affordable, and ethically desirable. And at Diplo, we are trying to walk the talk.

What I’m just saying now, we are experimenting in Diplo and developing our in-house AI. Therefore, AI is becoming commodity, bottom-up AI, and open source development. That was the critical development in 2025, especially coming with the deep-seek and Chinese wave of open source, reaction by US administration in August, pushing open source very high on the US AI agenda, European Union prioritizing open source together with the quest for sovereignty.

And that will be probably, as we’ll see later on, one of the key geostrategical battles. You probably noticed that I didn’t mention agentic AI and everything that you can hear in media these days. In my view, it won’t be the critical development.

AI as a commodity, bottom-up AI, and open source AI are three things to watch carefully on technological side.

Su Sonia

Thank you for that insight, Jovan, and I think especially your take on the open versus closed models and how certain countries are leading the race. I think we’ll hear a lot more about it in this new year and the coming months. And yes, there is another feature, by the way, about our webinar.

Diplo’s AI, Diplo AI will follow these predictions as the year unfolds. And you can write in the chat any specific question that you would like to be monitored. For example, will the AI bubble burst or anything that you’re curious about regarding AI?

And our Diplo AI will be following up through that. And just to make another reminder of earlier what Jovan said, our lovely colleague, Andrijana Gavrilovic, she’s in the chat. She’s our chat moderator.

Please feel free to add your questions and comments in the chat and we will make sure to address them as the webinar unfolds. So on technology, there’s an interesting experiment. If you have a hundred or a hundred thousand or a hundred million dollars, where would you invest it out of five options?

Jovan, would you invest it in hardware, software, knowledge and data, human resources, organization or governance? And while you place your bet, Jovan, I’m curious about you using more so the word knowledge instead of data.

Jovan Kurbalija

Yeah, but regarding to this bet on out of hundred which our colleagues will be now taking, there is AI Pareto paradox. Pareto is famous Italian sociologist, bit philosopher, who argued that 80% of our investment brings the 20% of real impact and 20% of investment bring 80% of impact. This is happening today with AI.

80% of investment in technology, in hardware, in media cards is bringing just the marginal improvements of AI. Why we are ignoring other four aspects that you can find their software, but in particular knowledge and data, skills and organizational changes. And you’re right, I highlighted knowledge.

The reason is that we speak a lot about data protection and it’s understandable, but data is just ingredients. What is happening currently is that our knowledge is captured. Let us take this example.

If Zoom or I think somebody activated some AI summarizer, are basically capturing our knowledge from our discussion today, it’s not just data. These are insights, reflections, some possible wisdom. And this is what we have to revisit our terminology.

I think data is important, it’s ingredient, but critical battle is for our knowledge. Our knowledge developing events like this, in reflections, family charts, sessions, and other ways. Therefore, yes, I would argue that knowledge should become keyword for the governance discussion in 2026.

Su Sonia

Thank you so much for that, Jovan. And now let me use the privilege of being moderator and just insert another question here. Since like in 2021, the metaverse was the hyped word and in 2022, it was blockchain.

And now we’re at the beginning of 2026 and almost no one mentions or remembers these words. So what will happen with the AI lingo and the AI hype with these two keywords related to 2025? Like in 2025, the keyword was AI slop, as most of us have heard about it, which means low quality AI generated content.

And another word was vibe coding, using natural language to generate code. Jovan, do you think they’ll share the same destiny as the metaverse and blockchain?

Jovan Kurbalija

The answer is yes and no. I think AI hype, not only in economical hype, but also language and cognitive hype, presence of AI issues in public. domain is definitely something which will have to slow down.

No, I would say AI is different than the metaverse and blockchain, because it’s less technological. It’s more societal, especially because of larger language model and automation of the language as a key communication tools of humanity. Now, it’s moving to video and sound, but I would say language is this.

Therefore, yes, the hype has to slow down. But I guess that we will have still AI-related terminology quite present in the public discourse. That’s short answer.

Su Sonia

OK, and if I may add, what are your takes on the AI bubble and it’s bursting or it’s not bursting?

Jovan Kurbalija

Well, AI bubble exists, and it is inflated on an unprecedented level. On the cognitive level, presence of AI narrative in public discourse in media, A. B, on investment, market capitalization on NVIDIA is more than combined GDP of African continent.

I think something like 4.6 billion. And three is a huge investment in data centers and other facilities, which cannot be justified due to the conceptual and mathematical and technical limitations of large language models. They’re hitting the platform of the efficiency.

You can add more NVIDIA cards, but you won’t get better inference and better answers. Therefore, we are hitting the platform. It’s not getting substantively better, but narrative is pumping.

The bubble is pumping. The bubble exists. Is it going to burst?

My argument is no, because it’s too big to burst. Because it can bring the global economy down. Huge money from investment pension fund are invested in companies like NVIDIA.

There will be many small bursts. And I would argue that probably there will be central. decentralization of AI, start-ups, small companies will be basically hoovered by a few big companies and they will survive by using the energy of these small companies.

Therefore yes, the bubble is huge. Is it going to burst like a dot-com bubble or a 2008 bubble? I don’t think so, but there will be small bursts, unfortunately, leading to the further centralization of AI industry in the heads of the big companies that need energy and food to survive.

Su Sonia

And actually, that brings me to one of the 10 subjects that we earlier mentioned, which is geo-strategy. Would you like to explain, what do you mean when you say geo-strategy?

Jovan Kurbalija

It’s an umbrella term, but I would suggest there will be three aspects, basically geopolitics, geo-economics and geo-emotions. Geopolitics is what we are seeing these days, is position of big countries, competition mainly between US and China in tech domain, but I would say EU as important actor. There are some good and bad news.

Good news is that in spite of all geopolitical pressure, we still have integrated global internet, at least on technical level, on the ICANN level. You can still send emails and you can still access different domains. But digital fragmentation is accelerating and it will be the clear dynamics, most likely around two or three hubs, definitely US, definitely China, and we’ll see if Europe will be third hub or not.

That’s probably one of the critical issue for the future of digitalization. We have fragmentation of filtering social media, other services and the other developments. Therefore, watch for that.

ICANN’s future, we have to admit that ICANN can be issued subpoena and ask to remove, for example, domain from its list of domain names. It’s California incorporated organization. That’s reality.

Yes, ICANN is globally in its management, but it is legally part of the California legal system and US legal system. Therefore, that’s not anymore unthinkable that the country can be removed from domain name system. I don’t think it will happen.

I’m more optimistic because it would hurt also US actors, but it’s a possibility. We should also in geopolitics follow the EU sovereignty movement in Europe, kicked off by EU digital sovereignty declaration adopted in Berlin on 18th November. And in particular, latest move at the beginning of the year where EU is pushing for open source and linking open source and sovereignty.

The message is basically, we want to have our own AI and we will develop it through open source and through that, we will achieve digital and AI sovereignty. Another element and hint that it is moving in this direction is that latest Mistral version is basically developed on the deep-seek methodology. It’s open source.

It doesn’t have to do anything with China in a sense, except that deep-seek is a Chinese company, but there are an interesting shifts on the sovereignty level. Second part is geoeconomics and it will be critical in this period because we are seeing that global companies have the huge footprint worldwide. Many of them are based in the United States, some in China, a few in Europe.

And any fragmentation, trade fragmentation, taxation fragmentation will affect them and it will come inevitably. But my bet for today is that geo-emotions will be the most important. If you look at the latest Ipsos survey, how people perceive AI, you will see the least enthusiastic, among the least enthusiastic population is the US population in the United States.

38% of people are enthusiastic about AI. The Asia is much more enthusiastic, I think China with 80% of people who are happy to use AI. Why is this important?

Basically what is happening in the US because of the centralization of AI industry is critical for the future AI. You have very low enthusiasm of the population, caused by different reasons, including the doomsday scenarios the last two or three years. You have very enthusiastic tech industry, who are accelerating, they are basically just moving more and more money.

And you have the administration, US administration, which has a close link with Silicon Valley tech industry, and which is benefiting from the boom in AI. There are some estimates between 35% and 50% of the raise of GDP in the United States in 2025 was caused by investment into AI data centers and other things. Now as we have election year in the United States, you have on one side population which is very skeptical.

You have very enthusiastic Silicon Valley with a strong influence on the President Trump’s administration. Therefore, there will be an interesting dynamics between these three aspects, how it will work. We saw the first hint, where the few states, I think, Desantis and California, push back against centralized AI regulation by the government.

on the level of the United States. They said, no, no, no.

Su Sonia

Federal level.

Jovan Kurbalija

We want to have it locally. Therefore, I think geo-emotions will be extremely interesting, especially in the United States in this election year.

Su Sonia

Yeah, and maybe perhaps it’s not exactly what you call geo-emotions, but we’re also seeing a shift to where more and more AI products are becoming about human emotions and about intimacy, and more people are using it as a friend, as a therapist, as a partner, and more products are now being developed.

So I just wanted to add in that sense that content-wise and tool-wise, it seems like from the attention and data economy, maybe things are now more and more targeting our emotions as humans. What would you think about that?

Jovan Kurbalija

No, definitely. I address this issue more from governance, diplomacy, policy level, but the question of capturing not only data, not only knowledge, but our emotions, or tacit knowledge, is becoming the next step, and that’s basically, I would say, very worrisome development, and with many, many negative impacts.

In this case, I basically refer of the emotions of the U.S. population in this case, very skeptical emotions, and completely different attitude of the economic and political elite. This is going to be, I would say, probably not decisive, but important issue for elections in November this year.

Su Sonia

Definitely. Okay, so that brings us to governance. So what should we expect in the new year when it comes to digital and AI governance?

Jovan Kurbalija

Okay, now, when we speak about governance, I’m coming from internet governance community, and very often for us, you know how it is with person, with the hammer, everything looks like a nail. Now I can spend. and ours discussing IGF, the conclusion of the World Summit on Information, society and other issues.

But ultimate governance dilemma is, our representatives on national level in parliament or on global level, our diplomats, can they protect our interests, our digital interests for our data, knowledge, cybersecurity and other issues.

Unfortunately, what I’m seeing is that we have deterioration of these developments. We have less and less mechanism that somebody who based his business on YouTube, which happened with, I know the case in Serbia, and his YouTube channel is removed, whom he should complain? YouTube ignored him, his government cannot help him, not only Serbian government, I would say, any government except US and Chinese governments.

And we basically have not advanced into this direction. We may have sometimes good events, good discussions, but basically at the bottom, we don’t have any major developments. There are some good news, inclusive governance is still at least notionally preserved through multi-stakeholder participation, although it has many questions to be addressed about this, but we should always ask ourselves the simple question, are our governance efforts helping citizen, company, community in our countries addressing their digital concerns?

Cybersecurity, data protection, knowledge protection, education, IPR. And here I’m afraid that we don’t have a good news, and I don’t expect many good news and developments in 2026. We’ll have many events, discussions, but ultimately we won’t be advancing.

Su Sonia

And actually that reminds me like other actors in the… you have mentioned this term techno-feudalism. So when we’re talking about governance and like you mentioned, you’re coming from internet governance where it was all about multi-stakeholder approach.

And it seems to be like this is changing drastically and very fast. What do you think about the term techno-feudalism and are we actually moving there?

Jovan Kurbalija

Well, I would be even more, let’s say push things even further. I think we are facing the risk of techno-slavery. Feudalism, at least the peasants who were the feudal places had some sort of agency.

If we pass all of our knowledge to big system, there could be new forms of the slavery because what is the slavery? It’s not only physical slavery, it’s basically not having the right to make a choice, not having respect for your dignity and other issues. I won’t be alarmist, but we should be careful about it.

Especially slavery as a method is unfortunately not only not disappearing, but increasing. According to latest statistic, we have approximately 60 million people in some form of slavery, more traditional sex workers, migrants, and other things. I hope that we won’t have attack slavery as a new term entering the digital domain, especially through the question of centralization of our knowledge, personal, institutional, country, community knowledge.

Therefore, yes, the techno-feudalism is likely to develop around fragmentation of the internet, but I’m afraid that we may have go even further in history by having some sort of techno-slavery.

Su Sonia

Okay, I will ask a bit further about that, because we’re gonna have other related topics like human rights, so we can go a bit further in that then. But before human rights, we have security. What are your predictions and your highlights about security in the new year?

Jovan Kurbalija

Again, big domain. We had at the end of the year adoption of Hanoi Cybercrime Convention, which I think is a good development. There is still good discussion at the UN.

In spite of all criticism of the UN, there are movements, there are discussions. I don’t know if these discussions are making us more secure. Like previous example, our governance mechanism are providing us with more tools.

I don’t know. But I would suggest that we put on the radar, in addition to the traditional issues, the question of interconnectivity through APIs with AI tools. We have millions and millions of connections where you connect to ChargPT, to DeepSeek, to Anthropic Cloud and other things, and you create your own AI agents.

All of these tools that are basically connecting are potential backdoors for the cybersecurity attacks. Diplo has close to, I just counted vaguely, close to 500 API connections. Please do not attack us, but it’s a huge vulnerability.

Can you imagine if somebody cuts all API addresses and links through Zapier and other tools? That would be major collapse of the modern digital industry. In addition to cyber war, cyber terrorism, and classical issues, cyber crime that we’ve been addressing, I would put this new risks of new interdependence of AI system through use of APIs.

Su Sonia

Okay, thank you so much for that. And I don’t think we’re hearing enough about this, but I think we will.

Jovan Kurbalija

Completely under the radar, I don’t know why, but it’s completely under the radar.

Su Sonia

Yeah, but maybe people or companies… and everyone is avoiding it because now this is the hype, especially with agentic AI as well. And if we put the spotlight on the huge security issue about it, then maybe they’re afraid of things slowing down.

I don’t know. I’m just speculating. And next up, very related to everything that we discussed is human rights.

So we just talked about digital serfdom, digital slavery. And even recently, like, well, maybe we’ll talk about that in content. Anyway, I’ll just give the floor back to you.

What do you think about human rights in the new years?

Jovan Kurbalija

Well, we have general deterioration of human rights, especially after the change of administration in January last year with Trump administration. Tech companies dismantled content policies often related to human rights. And we know these developments.

And here, the major tension is, is basically between Europe and the United States. Traditional tension was with some countries which were skeptical about human rights. In the Middle East, typically it was also China often, and the West.

Now we have a tension between European Union and the United States on human rights. I won’t go, we can go into specific human rights, but I will go to one issue, which is again, similar to API, not only about human rights, but not on the radar. We have traditional narratives on bias ethics and other issues.

It’s basically probably inflated discussion. But we are less focused on human rights that defines us as humans, our cognition, our knowledge, our dignity, through education, through jobs. And I think that, let’s say, group of human rights is completely, completely, I would say, ignored at least in public debates.

There is some sort of… where you go to AI events and you’d speak about bias and ethics, but what about our right to knowledge, to education? What about our right to remain human?

What about the right to be humanly imperfect, not to be optimized? The human rights community, I would say, has to wake up and see what’s going on around us and don’t follow just inertia about repeating the speeches of three or four years ago. Human rights landscape is changing very fast, and it has a completely new type of human rights, which are ultimately related to three points that defines us as humans.

Protection of our life, physical life, protection of our dignity, and realization of our potentials, intellectual, physical, whatever. And I think we have to get to basics of it. Through this discussion, we will revisit also the core pillar of enlightenment, because what we are discussing today is not just what is the move from Washington or Brussels or Beijing and the tactical, we are revisiting the core pillars of enlightenment, which put the human in the center of societal, economic, and political systems.

And human rights community has to move very fast to revisit that aspect. Okay, and that actually brings me to the next headline, which is economy, and I think it’s very related because it seems like we’re at that point where if it’s good, if it’s good for the economy, then we don’t need to think about human rights.

If there’s a new policy by a tech company and it’s bringing in money, so if it’s beating the economy, we don’t have to think about human rights. But okay, now, about the economy, what do you think and what do you foresee, Jovan? So, Sonia, in tradition…

Additionally, the UN system and the regional organization, you had the three pillars. You had security and safety, you had development and economy, and you have human rights. That triangle, which you can find in almost in the European Union and any organization, completely shifted towards economy and security.

Human rights dimension is basically shrinking. And the key development, and I think my colleague Marilia Maciel wrote a lot about it, is basically shift towards economic security. Economical issues and tech issues in particular are becoming part of security.

Access to rare materials, access to the large language models, and all other issues. And I think this is going to be the major shift in 2026. It started already over the last two years, but it will accelerate.

Tech issues will become security issues. And economy, digital economy, will be centered around it. We have to follow one counterintuitive development.

Everybody expected the fast raise of Bitcoin because Trump administration is very Bitcoin-friendly. What we saw is basically small development, even decline of the rate of Bitcoin in the last year. We should follow taxation and basically existence of the global trade system, and how that collapse of potential, collapse of the global trade system will affect tech industry, especially from the United States.

Su Sonia

And this brings us to the next point, which is standards, and which is getting more and more complicated. As you already mentioned, with different countries taking different stances, and this risking decentralization and all of that. what would you have to say about standards in the new year and in this new AI-dominated ecosystem, global ecosystem?

Jovan Kurbalija

The key issue is to learn something from the past. We as humans, sometimes we are learning, but very often we don’t learn from the lessons from the past. What’s happened with social media platforms?

We were basically got stuck within the specific platform, whether it is initially Facebook, Instagram, Twitter, X, and the other things. We are going to face the same issue with AI. If you have, if we don’t have interoperable standards, if there are no interoperable standards, if you develop your AI system, your weights, your data, your knowledge graph, I won’t go in the terminology, technical, we’ll stay with one platform and you will be stuck.

If you don’t develop it locally, it’s open source. Therefore, interoperable AI standards will become critical for the developments of AI. And by doing that, by pushing in that direction, we should avoid mistake that we had with development of social media platforms.

When you’re stuck, now with Digital Service Act, European Union has been trying to overcome that. I don’t know if it is going to work, but we should learn the lesson and say, okay, let’s make interoperable AI platforms. First advice would be, let’s make your own AI, your company, your personal, but if you cannot do it, let’s make at least interoperable platform where you can move from OpenAI to Cloudy, to DeepSeek, to other platforms.

Su Sonia

Okay, and I have to mention the Diplo AI apprenticeship at this point. I’m sorry, it wasn’t in our script, but we’re always talking about this and we also personally to learn about it and the best way to learn. something is by doing and for anyone who doesn’t know or hasn’t heard about it, this is exactly what Diplo’s AI Apprenticeship does, and it allows you to build your own AIs.

But correct me if I’m wrong, are they interoperable, Jovan?

Jovan Kurbalija

No, we cannot impose the standards on OpenAI and Cloud, but they are interoperable within Diplo system, yes. You can share the things. Thank you, Su Sonia, for mentioning this.

AI Apprenticeship is a very innovative approach where you learn about AI by developing AI. The course starts by developing new AI in five minutes. This is time that you need to develop AI agent.

But you need then at least two months, and I would say much longer to develop good AI. AI which won’t be sloppy like most of the platform, but which will be adjusted to your needs. I think that is very interesting approach.

We basically use the Swiss approach of apprenticeship, which is very deep into the Swiss educational system, to develop approach of learning about AI by developing AI. In this format and this title or some other title, that will be critical for any organization, school, company, ministry department, to raise the awareness of their stuff by developing AI.

Su Sonia

I agree 100 percent. And this brings us to content. And I mean, there’s so many, sometimes even scandalous headlines when it comes to AI and content, and the latest being these new futures, for example, with Grok, the X-Platforms AI agent.

Undressing people and people using this, and this touches a lot of things, but. When you say content, I realize it’s a very, very wide topic. Almost anything, everything falls under it.

But what’s your perspective and lens when it comes to content in the new year?

Jovan Kurbalija

Sure, I’m sure we can spend hours speaking about deep fake AI and other things. But the key issue here is the relation between the United States and the United States tech companies and government and the European Union. We already saw with the fine against tax in the European Union.

That’s, I would say, the critical issue. Are companies going to be, tech companies, forced to obey the law of the European Union? Here we have very simplified narrative, usually in mainstream media.

Oh, European Union, European countries are conservative and other things. And I’m very critical about developments, tech developments and regulatory in European Union on other aspects. But the bottom line is that the country or group of countries can adopt the rules according to their interests.

Who are the tech companies to tell, let’s say, Germany not to have the content policy given the very delicate history of Germany and basically the question of misuse of certain material, especially Nazi memorabilia and other things.

Who is the tech companies to tell 80 million German citizens who voted for government, who have the regulation, that they are backwards because they are trying to filter the content? That’s a very tricky discussion. We as citizens agree on certain laws by our representatives and the other things.

Now you can find in media misuse, censorship and the other things. We have to be very careful to avoid situation of not seeing the forest for the tree. We have always to ask bottom up, bottom question, is particular country, I mentioned example of Germany or EU.

allowed to make rules for the content on their territory. I think they are, and I think tech companies have to adapt to it. That will be the major tension.

There is also Australian rule that banning AI for the younger, the 16, there are many small micro developments, but ultimate basically issue will be tension between European governments, parliaments, and US tech companies.

Su Sonia

And there’s much there to discover, but we’re talking about technology and digital stuff. So we won’t get into that between AI and, I mean, not AI, EU and US, but anyway. So we’re reaching towards the end of our list, but we’ll continue, of course, and we’ll take some questions from our audience.

But next up is development.

Jovan Kurbalija

I have, here’s one good news. So far I have many bad news. It is a good news.

I think that countries which are a bit backwards in inverted commas in AI fields are not necessarily losing. Why? Because I think that the current model of AI developments with basically focusing on hardware, invest heavily into hardware, have the data farms.

If you don’t have your AI model, you’re lost. I don’t think it’s the critical issue. The critical issue is basically how to preserve your knowledge, not data, your local knowledge locally.

And I would say if I were the prime minister of Ruritania, small country somewhere in Asia, Africa, Europe, I would go for that. I would invest more money into schools, into preserving knowledge, creating open source platforms locally. Therefore, that’s what was typical when you go to major AI.

and including UN events, we said, oh, we don’t have LLM. I said, who cares? Even Apple said we don’t care about having a large language model.

There are now close, I think, close to thousands LLMs. But what is missing is how you preserve your knowledge. Therefore, paradoxically, slow entry of the developing countries in the field of AI could be, in this case, a blessing of getting it right.

Investing in what matters. Knowledge, local knowledge, capacity of the people, skills, and different governance.

Su Sonia

Okay. Thank you for that. And finally, some good news, at least.

But I’m afraid, okay, the last topic, maybe there’s not too much to say in a positive manner, but I’m curious to hear what you say. But before that, I will do another plug-in right here. Because in our Diplo Foundation’s YouTube channel, we have different series and different videos about all these topics.

And Jovan has his videos, too. And we have these series called AI Shorts. And this was something, the upcoming topic was something that we covered a lot in AI Shorts.

Because it’s surfacing more and more. And it is the environment. Environment and sustainability and how it overlaps with, of course, technology, but in particular, AI.

So, what will we be seeing? Because I’ve heard, I don’t know if that was doable or if it was in theory. But for example, Jovan, I heard in Finland, they were using the heat from servers and AI farms to heat residents and buildings during winter.

But of course, when it comes to this stuff, it’s all about scalability. And Scandinavia and Finland, it’s not that big. And so, there are people all over the world trying to come up with solutions.

And also, there are people who are just completely ignoring this part about AI. the water consumption and all of that, but what should we expect?

Jovan Kurbalija

Okay, so Sonia, again like with the previous issues, we should step back and ask the questions, do we need these huge farms? What for? And I always start from myself and from Diplo.

I did analysis during the Christmas time, I had some free time, of typical vocabulary that I use and typical framing of issues that I use in my blogs, in texts, in emails and other things. And I came, my vocabulary is not particularly rich, but I came to something three to four thousand words and what really shocked me, I came to about 30 ways how I cognitively frame issues. Zoom in, zoom out, you know my phrase is looking out of the box and these things.

And you really think, and I’m not super creative, but I’m not also a person who follows the crowd, when you really think, we usually maybe use 30, 40, maximum 50 cognitive toolkits. Do I need super trooper AI platform which companies are developing when I can have my small AI basically being extension of my thinking? Or Diplo’s AI being extension of our courses and training?

This is the first common sense question. Do we really need this crazy development of platforms which are using enormous amount of energy and water? I don’t think so.

And this is basically my point. But if we do that, we can use this like finish, we can use it, other approaches to make it cleaner. Since we cannot stop this investment into the big data farms, let’s do at least alleviate the problem and prepare for the moment where we may have huge digital graveyards, once technology, software and anything else.

bypass the need for such huge firms. That’s basically how I would approach it.

Su Sonia

Okay, so we’re going to, well, we’re not wrapping up yet. I mean, we still have like around 15 minutes. Would you like to go to the chat?

Would you like to answer some questions that I’ll read out to you? Okay, so why do you think agentic AI is not a highlight this year?

Jovan Kurbalija

Okay, agents will be used and developed, but they are not going to be as big thing as we were told for a few reasons. One reason is that they are not anymore directly related to technology, having more LLMs and these things. They’re related for human adoption of the AI tools.

And when you have to change humans’ organization, it takes much more time. That’s the first point. And you can see that companies are now, OpenAI is establishing consultancy company, Antropic, with basically dealing with it, why humans are not using AI, existing AI, ChargePT and other things, enough in the nation.

I think that is basically hype, but it has to maintain investment. But it won’t be revolutionarily developed. There will be some good system.

MCP was one of the standards, was a big thing. I don’t think that it will be as revolutionary as we were said. It will be some development, some good applications.

We are experimenting a diploid, agentic AI, but it won’t be the solution for all problems of humanity, as we are told by the media, especially tech media.

Su Sonia

Yeah, the media tends to feed the hype. And another question is, well, this time related to diplomacy. What do you think the impact of AI is on diplomacy and peace building?

Jovan Kurbalija

Okay, on diplomacy per se, impact will be, I would say, probably profound for a very simple reason. Diplomacy is text-based profession. Anything you do in diplomacy, you ultimately have to write the text.

Whether you meet somebody in the corridors of the UN in Geneva, you have to write cable back to your capital. If the meeting is fine, you have reports and meetings. Therefore, that aspect will be profound.

Good news is that diplomacy is more arts than science. Therefore, the question of negotiation, representation, and other human-centered tools will get more relevance. Therefore, generally, I think there are good news for diplomacy and peacemaking.

First one, it will be the end of bureaucratic diplomacy or writing reports. And it will give a chance and time to return to what really matters in diplomacy. Negotiate with the other side, persuade, engage, find a compromise, and deliver some sort of peaceful resolution.

Therefore, I would say, generally, bad news for current diplomacy, which is mainly bureaucratic diplomacy, good news for real diplomacy.

Su Sonia

Okay, thank you for that. At least some good news. And there’s like two more questions, but I want to combine them.

Do you think if either of them will, which one will take over? Like, do you think super AI or singularity is hypothetical? Or is there a real possibility of it replacing us or our intelligence?

And another question was, could an AI private ally undermine our wishes? So I’m seeing these two questions as, in the future, do you think AI will take over? or the AI private elite, or neither will happen?

Jovan Kurbalija

I would say that that discussion is interesting. I love philosophy and I love discussing it, but I think this is not important discussion about singularity and superintelligence. It is like when you have a baby crying and you basically play with some sort of a distraction or what once John Lennon said, and I think that’s probably one of my 30, 35 typical quotes is that life what’s happened to you while you’re busy planning your life.

Now, yes, there might be superintelligence, I don’t know, and I’m a bit skeptical, but okay, there could be. But what is happening now is that things are changing now. Students are using ChargePT to write their essays.

They’re not anymore developing critical thinking. Jobs are lost, very often not for AI, but AI is used as a good excuse. Programmers are basically their job, and there is a bit of cynical developments.

People who created AI are basically the first to feel the basically the automation of their jobs. Therefore, my point is whether there will be an extinction risk or not, I don’t know. We should be very careful to deal with immediate issues which are happening now, and then to keep on the radar extinction risk or superintelligence, but not in the way how it’s presented to us in the global media.

And for me, the key issue is not if AI is going to govern us or rule us. The main issue is if we are going to be ruled by people who own and develop AI. That’s a different thing.

They have a powerful tool in the hands of you, or AI is some sort of abstract development.

Su Sonia

And so I’m hearing that, yeah, you’re saying the fact that AI elite will probably, there’s a more possibility of them ruling, being the new ruling class or ruling us even against our wishes. And I personally agree. And then do you think we have a chance, I mean, to at least slow this down or reverse this because like you mentioned critical thinking and I was thinking that maybe AI doesn’t need to become super intelligent if we become dumb enough by handing our thinking over to technology?

Jovan Kurbalija

That’s I think critical point you’re saying. We say AI will replace us. Yes, if we write useless thesis or useless policy reports, it won’t be that difficult to replace us.

And that’s the point. To whom we compare AI? Generally speaking, many, many texts in the current, I mean, involving global governance are not something really with a breakthrough.

And that’s a good issue that are we going to, on the contrary, I recently read the report on AI from some organization, I won’t mention the negative, I don’t want to mention people in negative context, 120 pages.

And even they didn’t remove the prompts. And it’s a policy document of that organization. And I said, are they expect from me to read 120 pages?

If I’m diplomats in that capital, I would have to read maybe in page 56, there is something dangerous for my country. There were, there are serious problems with us in using, in using it. Now what is the solution?

Why I’m most optimistic, more optimistic, we can develop our own AI. It’s technically feasible, it’s financially affordable, technically feasible, open source, technically, we can afford it. And it is ethically desirable.

And then if I want to use my AI, which is completely my AI, not directly. directed from the big systems, I can decide if I want to automate my life, I can decide if I don’t want any more free will. That’s my personal decision.

We keep it anchored into very simple idea of enlightenment, not only enlightenment, also key religions last 23, 24 centuries, is that human is central player on the earth. And why not with AI? That’s fine, but it’s our decision then.

Su Sonia

Yes, I know that. Okay, since we’re almost running out of time before I ask you to wrap up, there’s two more really good questions. Will, do you think geopolitical tensions will threaten energy supplies and how would this impact AI developments and uptake?

Which as we already discussed, like requires large amounts of energy. And we’re having all these AI summits everywhere, small ones, big ones. What do you think about them?

Are they just talk shops or are they helping move AI policy in the right direction?

Jovan Kurbalija

Well, I’m avoiding them, this big AI meetings for, you know how it is in any policy space. Once the rhetoric starts, you people repeat the same things, ethics, bias, ethics, bias, and the other now energy and these things. We have to ask ultimate question.

And this is this step back. Is AI going to basically increase our three aspects, protection of life, protection of our dignity and the realization of our potentials? This is the first question.

Second question, are our governance AI summits and other things are going to help us to protect our interests on the global level beyond our national borders? Are our governments delivering of the basic social contract? Social contract is very simple.

You pay taxes, male go and serve now female. military service. In exchange, they protect your interests, protect your life, government, protect your life, market economy, political system, and they cannot protect us in digital and the area.

I always ask myself these two questions. And unfortunately, I don’t get positive answers after finishing all of these big meetings. You know, you are sometimes you meet the friends, I am in this community for a few decades.

I like inclusive approach, multi-stakeholder and other things, but those things are rarely answering these two questions. And my other question is how to prevent knowledge seldom or even knowledge slavery. So far, I’m not positive on our results as policy community.

Su Sonia

And about the geopolitical tensions around energy and supplies affecting AI.

Jovan Kurbalija

Yeah, there is now, you can read it everywhere that US has a problem with energy supplies, China is more solid with it because also China is developing smaller models. I don’t know, I don’t have, I can now basically repeat what you can read in the media, but I’m a bit skeptical about this big server farms and use of huge energy and that’s something. But basic narrative is US is lagging behind, they’re opening new, even nuclear stations.

China invested more in the coal energy and it’s now better placed because also of the small models that China is developing, smaller models than US, that’s the common narrative.

Su Sonia

Okay, and okay, there’s one, I said it was last, but it’s not because it’s about Geneva and it’s about Diplo and I think it’s a good way to wrap it up before I ask for your final remarks. Do you see international Geneva, including Diplo, emerging as a a true hub for tech diplomacy by 2026, 2027, or are we facing our limits? Is Geneva facing its limits to growth?

Jovan Kurbalija

Well, Geneva has its, it’s limited by geopolitical developments, obviously. If multilateral system is going to suffer, Geneva will suffer like Vienna, like other places. That’s one thing, but to be a bit of stoic, you may influence these things or may not, including what we just heard this morning, that U.S.

will be withdrawing support, financial support from quite a few organizations in Geneva, which is not good news for multilateralism and I would say global politics in general. But while we cannot impact that, we can do something ourselves. And these are a few things.

One is, and there are very concrete proposals, why not to start something which is in the basis of Swiss educational system, which is apprenticeship? Train the people in international organizations in diplomacy, prepare the global population for the AI changes. That’s the one thing.

Second thing, which is very specific. If you analyze SEO, search engine optimization, what’s going on? People, at least we are preparing reports from Diplo, people are basically visiting Diplo website for verification of information.

Before AI, they were visiting system to get information. They now get ChargePT or Google and then they click on the link. Now, Geneva organizations should become verificators of the global information because somehow there is authority of international organizations behind the reports that they create, documents, declarations.

That’s an interesting strategic shift that simply websites of international organizations should become protectors of the verifiers of the global information system. And third point is the space for Geneva is in standards. It’s all that Geneva is playing an important role, and it has to push that more into AI and other standards.

Those would be three concrete issues that Geneva can contribute. I would advise, and at least we are doing it, we are not repeating something that you can hear at thousands of AI meetings and summits. Ethics, bias, ethics, bias, robots, and other things.

I think Geneva, and Switzerland, and Europe, and any country should find its own specific contribution to AI discussion. And in Geneva is the question of apprenticeship, question of verification of information, and standards.

Su Sonia

OK, thank you so much for that. Yeah, we’ve hit our one hour mark. And I know we don’t usually do this in our webinars, but if you’re watching this on YouTube, please make sure to check out our entire channel.

We have master classes. We have experts explain videos. We have things that focus on digital diplomacy and AI updates.

And they’re usually weekly. And I’m also pasting the link in the chat right now. And I’m wishing everyone a Happy New Year and just handing the mic one last time to Jovan to see if he has any closing remarks.

Jovan Kurbalija

Thank you, Su Sonia. Thank you for joining us today. I hope we raised some issue.

The times are critical. We have to think out of the box, critically, with the common sense. This is basically what we need in order to, I would say, even survive.

Now, deep or small contribution to this discussion will be threefold. First, you will receive the documents with the survey of what I said today in the follow-up to the session. Second, our digital watch will basically monitor questions around this on the monthly, we may say even on weekly basis, for time on monthly basis.

And please send the questions that you would like to be. monitored, in addition to questions that you asked today. And the third point is that AI apprenticeship method will be even stronger on the agenda of this learning about AI by doing AI.

This is critical for governance, diplomacy, and other spaces. Those would be three messages from Diplo. And once again, thank you, Su Sonia.

Thank you, other colleagues, for joining us today.

Su Sonia

Thank you, Jovan. And we have all the links that we mentioned in the chat box. And you can also always visit our website.

And the next cohort of the AI apprenticeship starts in April. So everyone has time to check it out and see the requirements. And I’ve met many graduates of it.

And they were all very happy. So it’s a personal recommendation as well. Thank you, everyone.

Thank you. Ciao. Ciao.

J

Jovan Kurbalija

Speech speed

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Speech length

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2820 seconds

AI is becoming a commodity and easily accessible

Explanation

Kurbalija argues that AI is transitioning from a specialized technology to something readily available, like going to a shop to get AI. This shift is illustrated by major companies like Apple stepping back from developing their own large language models because they view AI as a commodity rather than a competitive advantage.


Evidence

Apple basically started slowing down their attempts to develop Apple LLM, saying ‘it is commodity, we have thousands of large language models, let’s focus on something else’


Major discussion point

Technology and AI Development Trends


Topics

Digital business models | Digital standards


Bottom-up AI with small language models running locally will be critical for knowledge control

Explanation

Kurbalija predicts that small AI models capable of running on corporate servers or even mobile devices will become crucial. The key question will be whether these personal AI systems remain locally controlled or connect to centralized systems, which would result in knowledge being passed to external entities.


Evidence

At Diplo, we are trying to walk the talk… we are experimenting in Diplo and developing our in-house AI. If connected to central system, you will be basically passing your knowledge to somebody else. If stored locally, you will be saving knowledge for yourself


Major discussion point

Technology and AI Development Trends


Topics

Privacy and data protection | Digital standards | Data governance


Agreed with

– Su Sonia

Agreed on

Building local AI systems provides better control and autonomy


Open source AI development is a key battleground between countries

Explanation

Kurbalija identifies open source AI as a critical strategic competition area, particularly highlighted by Chinese developments like DeepSeek and responses from US and EU administrations. The EU is specifically linking open source development to achieving digital sovereignty.


Evidence

Critical development in 2025, especially coming with the deep-seek and Chinese wave of open source, reaction by US administration in August, pushing open source very high on the US AI agenda, European Union prioritizing open source together with the quest for sovereignty


Major discussion point

Technology and AI Development Trends


Topics

Digital standards | Intellectual property rights


The AI bubble exists but is too big to burst completely

Explanation

Kurbalija acknowledges that an AI bubble exists at unprecedented levels across cognitive, investment, and infrastructure dimensions. However, he argues it won’t burst like previous bubbles because it’s too large and integrated into the global economy, though there will be smaller bursts leading to further industry centralization.


Evidence

NVIDIA market capitalization is more than combined GDP of African continent, around 4.6 billion. Huge investment in data centers cannot be justified due to conceptual and mathematical limitations of large language models. Too big to burst because it can bring the global economy down


Major discussion point

Technology and AI Development Trends


Topics

Digital business models | Economic


Investment focus should shift from hardware to knowledge, skills, and organizational changes

Explanation

Kurbalija applies the Pareto principle to AI investment, arguing that 80% of current investment in hardware brings only 20% of real impact. He emphasizes that the critical battle is for knowledge rather than just data, as knowledge represents insights, reflections, and wisdom captured from human interactions.


Evidence

AI Pareto paradox: 80% of investment in technology, in hardware brings just marginal improvements. Critical battle is for our knowledge – if Zoom activated AI summarizer, they are capturing our knowledge from our discussion today, not just data but insights, reflections, possible wisdom


Major discussion point

Technology and AI Development Trends


Topics

Data governance | Privacy and data protection | Capacity development


Tech domain cannot be isolated from geopolitical developments

Explanation

Kurbalija argues that despite attempts to keep technology separate from wider geopolitical shifts, the tech domain will be more profoundly impacted than any other sector. This is because technology affects fundamental aspects of society including knowledge, education, and work.


Evidence

It has been the last few days, in spite of huge geopolitical shifts around us, it cannot be isolated. It impacts society, knowledge, education, works, and other domains


Major discussion point

Geopolitical and Strategic Implications


Topics

Digital standards | Jurisdiction


Digital fragmentation is accelerating around US, China, and potentially EU hubs

Explanation

Kurbalija observes that while the global internet remains technically integrated at the ICANN level, digital fragmentation is accelerating. This fragmentation is likely to organize around two or three major hubs, with the EU’s position as a third hub being uncertain.


Evidence

We still have integrated global internet, at least on technical level, on the ICANN level. But digital fragmentation is accelerating around two or three hubs, definitely US, definitely China, and we’ll see if Europe will be third hub


Major discussion point

Geopolitical and Strategic Implications


Topics

Critical internet resources | Jurisdiction | Digital standards


EU is pursuing digital sovereignty through open source development

Explanation

Kurbalija highlights the EU’s strategic approach to achieving digital independence through open source AI development. This was formalized in the EU digital sovereignty declaration and represents a clear policy direction linking open source technology with sovereignty goals.


Evidence

EU sovereignty movement kicked off by EU digital sovereignty declaration adopted in Berlin on 18th November. Latest move where EU is pushing for open source and linking open source and sovereignty. Latest Mistral version is developed on the deep-seek methodology


Major discussion point

Geopolitical and Strategic Implications


Topics

Digital standards | Intellectual property rights | Data governance


Geo-emotions, particularly US population skepticism toward AI, will be crucial

Explanation

Kurbalija introduces the concept of ‘geo-emotions’ as a critical factor, noting that US population shows low enthusiasm for AI (38%) compared to Asian countries like China (80%). This creates tension between a skeptical population, enthusiastic tech industry, and supportive administration in an election year.


Evidence

Latest Ipsos survey shows US population among least enthusiastic about AI at 38%, while China shows 80% enthusiasm. Between 35% and 50% of US GDP raise in 2025 was caused by investment into AI data centers


Major discussion point

Geopolitical and Strategic Implications


Topics

Sociocultural | Digital business models


Current governance mechanisms are failing to protect citizens’ digital interests

Explanation

Kurbalija argues that representatives at national and global levels cannot adequately protect citizens’ digital interests including data, knowledge, and cybersecurity. He uses the example of someone whose YouTube channel is removed having no effective recourse, as governments cannot help and platforms ignore complaints.


Evidence

Case in Serbia where YouTube channel was removed – YouTube ignored him, his government cannot help him, not only Serbian government, any government except US and Chinese governments


Major discussion point

Governance and Democratic Control


Topics

Data governance | Privacy and data protection | Liability of intermediaries


Agreed with

– Su Sonia

Agreed on

The multi-stakeholder governance model is under threat


Representatives cannot adequately protect digital rights and interests

Explanation

Kurbalija questions whether elected representatives in parliaments or diplomats can protect citizens’ digital interests. He argues that current governance efforts are not effectively helping citizens, companies, and communities address their digital concerns including cybersecurity, data protection, and education.


Evidence

We should ask ourselves the simple question, are our governance efforts helping citizen, company, community in our countries addressing their digital concerns? Cybersecurity, data protection, knowledge protection, education, IPR. I’m afraid that we don’t have good news


Major discussion point

Governance and Democratic Control


Topics

Data governance | Privacy and data protection | Human rights principles


There’s a risk of techno-feudalism or even techno-slavery

Explanation

Kurbalija warns of potential techno-slavery, arguing it could be worse than feudalism because feudal peasants had some agency. If all knowledge is passed to big systems, it could create new forms of slavery by removing the right to make choices and respect for human dignity.


Evidence

Feudalism, at least the peasants had some sort of agency. Slavery is not only physical slavery, it’s basically not having the right to make a choice, not having respect for your dignity. We have approximately 60 million people in some form of slavery currently


Major discussion point

Governance and Democratic Control


Topics

Human rights principles | Privacy and data protection | Digital identities


API connections between AI tools create massive cybersecurity vulnerabilities

Explanation

Kurbalija identifies API connections as a major under-recognized security threat. With millions of connections between AI tools and platforms, each connection represents a potential backdoor for cyberattacks, yet this vulnerability receives little attention.


Evidence

Diplo has close to 500 API connections. All of these tools that are connecting are potential backdoors for cybersecurity attacks. Can you imagine if somebody cuts all API addresses and links through Zapier and other tools? That would be major collapse of modern digital industry


Major discussion point

Security and Interconnectivity Risks


Topics

Cybersecurity | Network security | Critical infrastructure


Agreed with

– Su Sonia

Agreed on

AI security vulnerabilities through API connections are severely under-recognized


Millions of API connections represent potential backdoors for attacks

Explanation

Kurbalija emphasizes the scale of the API vulnerability problem, noting that modern digital infrastructure relies on millions of connections between different AI systems and platforms. The failure of these connections could cause major collapse of digital industry operations.


Evidence

Millions and millions of connections where you connect to ChargPT, to DeepSeek, to Anthropic Cloud and other things, and you create your own AI agents


Major discussion point

Security and Interconnectivity Risks


Topics

Cybersecurity | Network security | Critical infrastructure


Traditional human rights discussions focus too much on bias and ethics

Explanation

Kurbalija argues that current human rights discourse around AI is overly focused on bias and ethics while ignoring more fundamental human rights. He suggests this discussion is inflated and distracts from core issues that define humanity such as cognition, knowledge, and dignity.


Evidence

Traditional narratives on bias ethics and other issues is probably inflated discussion. You go to AI events and speak about bias and ethics, but what about our right to knowledge, to education? What about our right to remain human?


Major discussion point

Human Rights and Dignity


Topics

Human rights principles | Right to be forgotten | Privacy and data protection


New human rights related to cognition, knowledge, and remaining humanly imperfect are being ignored

Explanation

Kurbalija identifies a new category of human rights that are being overlooked in AI discussions. These include the right to knowledge, education, remaining human, and being humanly imperfect rather than optimized, which relate to core aspects of human dignity and potential.


Evidence

What about our right to knowledge, to education? What about our right to remain human? What about the right to be humanly imperfect, not to be optimized? Human rights that defines us as humans, our cognition, our knowledge, our dignity


Major discussion point

Human Rights and Dignity


Topics

Human rights principles | Privacy and data protection | Online education


Agreed with

– Su Sonia

Agreed on

AI’s impact on education and critical thinking is concerning


There’s tension between European Union and United States on human rights in tech

Explanation

Kurbalija notes a shift in human rights tensions from traditional East-West divides to a new tension between the EU and US. This is exemplified by tech companies dismantling content policies related to human rights after the Trump administration change, creating conflict with European standards.


Evidence

After change of administration in January last year with Trump administration, tech companies dismantled content policies often related to human rights. Traditional tension was with countries skeptical about human rights, now we have tension between European Union and United States


Major discussion point

Human Rights and Dignity


Topics

Human rights principles | Content policy | Freedom of expression


Economic security is merging with traditional security concerns

Explanation

Kurbalija observes a fundamental shift where the traditional three-pillar system (security, development, human rights) is being restructured. Economic issues, particularly tech issues, are increasingly being treated as security matters, with access to AI models and rare materials becoming security concerns.


Evidence

The triangle of security and safety, development and economy, and human rights completely shifted towards economy and security. Tech issues will become security issues. Access to rare materials, access to large language models becoming part of security


Major discussion point

Economic and Development Impact


Topics

Economic | Cybersecurity | Critical infrastructure


Tech issues are becoming security issues in national policy

Explanation

Kurbalija identifies a trend where technological concerns are being reclassified as national security issues. This represents a major shift in how governments approach tech policy, moving it from economic or social policy into the security domain.


Evidence

This is going to be the major shift in 2026. It started already over the last two years, but it will accelerate. Tech issues will become security issues. And economy, digital economy, will be centered around it


Major discussion point

Economic and Development Impact


Topics

Economic | Cybersecurity | Digital business models


Developing countries may benefit from slower AI adoption by focusing on knowledge preservation

Explanation

Kurbalija argues that countries perceived as ‘backwards’ in AI development may actually have an advantage. Rather than investing heavily in hardware and data farms, they can focus on preserving local knowledge and building open source platforms, which may be more strategically valuable.


Evidence

If I were prime minister of small country, I would invest more money into schools, into preserving knowledge, creating open source platforms locally. Even Apple said we don’t care about having a large language model. There are close to thousands LLMs now


Major discussion point

Economic and Development Impact


Topics

Development | Capacity development | Digital access


Interoperable AI standards are critical to avoid platform lock-in like social media

Explanation

Kurbalija warns that AI development risks repeating the mistakes of social media platforms where users become locked into specific systems. Without interoperable standards, users who develop AI systems will be stuck with one platform and unable to move their data and knowledge.


Evidence

What happened with social media platforms? We got stuck within specific platform, Facebook, Instagram, Twitter, X. We are going to face the same issue with AI. If you develop your AI system, your weights, your data, your knowledge graph, you’ll stay with one platform and be stuck


Major discussion point

Standards and Interoperability


Topics

Digital standards | Interoperability | Data governance


Learning from past mistakes with social media platforms is essential

Explanation

Kurbalija emphasizes the importance of applying lessons from social media platform development to AI. The EU’s Digital Service Act represents an attempt to address social media lock-in issues, but it’s better to prevent similar problems in AI from the start.


Evidence

We should learn the lesson and say, let’s make interoperable AI platforms. With Digital Service Act, European Union has been trying to overcome that. I don’t know if it is going to work, but we should learn the lesson


Major discussion point

Standards and Interoperability


Topics

Digital standards | Legal and regulatory | Consumer protection


Major tension exists between US tech companies and European Union regulations

Explanation

Kurbalija identifies the relationship between US tech companies and EU regulatory frameworks as a critical tension point. He argues that countries have the right to establish content policies according to their interests and history, and tech companies should adapt to local laws rather than dictating terms.


Evidence

We already saw with the fine against tax in the European Union. Who are tech companies to tell Germany not to have content policy given the very delicate history of Germany and the question of misuse of Nazi memorabilia and other things?


Major discussion point

Content and Regulatory Tensions


Topics

Content policy | Legal and regulatory | Jurisdiction


Countries have the right to make content rules for their territory

Explanation

Kurbalija argues for national sovereignty in digital content regulation, emphasizing that democratically elected governments have the authority to establish rules for content within their borders. He criticizes the notion that tech companies can override national democratic decisions about content policies.


Evidence

We as citizens agree on certain laws by our representatives. Who is the tech companies to tell 80 million German citizens who voted for government, who have the regulation, that they are backwards because they are trying to filter the content?


Major discussion point

Content and Regulatory Tensions


Topics

Content policy | Jurisdiction | Legal and regulatory


Massive AI data farms consume enormous energy and water resources

Explanation

Kurbalija questions the necessity of huge AI data farms given their enormous energy and water consumption. He argues that most individuals have limited vocabulary and cognitive frameworks, making massive AI platforms potentially unnecessary for personal or organizational use.


Evidence

Analysis of my typical vocabulary – three to four thousand words and about 30 ways how I cognitively frame issues. Do I need super trooper AI platform when I can have my small AI being extension of my thinking? Or Diplo’s AI being extension of our courses?


Major discussion point

Environmental Sustainability


Topics

Sustainable development | E-waste | Critical infrastructure


Agreed with

– Su Sonia

Agreed on

Environmental concerns about AI infrastructure are significant


Disagreed with

– Su Sonia

Disagreed on

Scope of environmental solutions for AI energy consumption


The need for huge AI platforms is questionable given individual cognitive requirements

Explanation

Kurbalija challenges the assumption that massive AI platforms are necessary by analyzing personal cognitive patterns. His self-analysis revealed limited vocabulary and cognitive frameworks, suggesting that smaller, personalized AI systems might be more appropriate and efficient than large-scale platforms.


Evidence

My vocabulary is not particularly rich, but I came to something three to four thousand words and about 30 ways how I cognitively frame issues. We usually use 30, 40, maximum 50 cognitive toolkits


Major discussion point

Environmental Sustainability


Topics

Sustainable development | Digital business models


AI will profoundly impact diplomacy as a text-based profession

Explanation

Kurbalija argues that diplomacy will be profoundly affected by AI because it is fundamentally a text-based profession. Every diplomatic activity ultimately requires writing reports, cables, or meeting summaries, making it highly susceptible to AI automation and transformation.


Evidence

Diplomacy is text-based profession. Anything you do in diplomacy, you ultimately have to write text. Whether you meet somebody in corridors of UN in Geneva, you have to write cable back to your capital. If meeting is fine, you have reports and meetings


Major discussion point

Impact on Diplomacy and Professional Work


Topics

Future of work | Capacity development | Online education


This could end bureaucratic diplomacy and return focus to real negotiation skills

Explanation

Kurbalija sees AI’s impact on diplomacy as potentially positive, arguing it could eliminate bureaucratic report-writing and allow diplomats to focus on core diplomatic skills. This would represent a return to essential diplomatic functions like negotiation, persuasion, and finding peaceful resolutions.


Evidence

It will be the end of bureaucratic diplomacy or writing reports. It will give chance and time to return to what really matters in diplomacy. Negotiate with other side, persuade, engage, find compromise, and deliver peaceful resolution


Major discussion point

Impact on Diplomacy and Professional Work


Topics

Future of work | Capacity development


S

Su Sonia

Speech speed

150 words per minute

Speech length

2095 words

Speech time

834 seconds

Countries are taking different stances risking decentralization

Explanation

Su Sonia observes that different countries are adopting varying approaches to AI and digital governance, which creates risks for the unified global digital ecosystem. This fragmentation could lead to a decentralized system where different regions operate under different standards and rules.


Major discussion point

Geopolitical and Strategic Implications


Topics

Digital standards | Jurisdiction


Multi-stakeholder approach in internet governance is changing drastically

Explanation

Su Sonia notes that the traditional multi-stakeholder model that characterized internet governance is undergoing rapid and dramatic changes. This represents a shift away from the collaborative, inclusive approach that previously guided internet development and policy-making.


Major discussion point

Governance and Democratic Control


Topics

Data governance | Legal and regulatory


Agreed with

– Jovan Kurbalija

Agreed on

The multi-stakeholder governance model is under threat


This security issue is completely under the radar despite its significance

Explanation

Su Sonia emphasizes that the API security vulnerabilities discussed by Kurbalija are receiving insufficient attention despite their critical importance. She suggests this lack of awareness may be intentional to avoid slowing down AI development and adoption.


Evidence

Maybe people or companies and everyone is avoiding it because now this is the hype, especially with agentic AI. If we put spotlight on huge security issue, maybe they’re afraid of things slowing down


Major discussion point

Security and Interconnectivity Risks


Topics

Cybersecurity | Network security


Agreed with

– Jovan Kurbalija

Agreed on

AI security vulnerabilities through API connections are severely under-recognized


AI products are increasingly targeting human emotions and intimacy

Explanation

Su Sonia observes a shift in AI product development toward emotional and intimate applications, with more people using AI as friends, therapists, or partners. This represents a move from attention and data economy models toward systems that specifically target human emotions and relationships.


Evidence

More and more AI products are becoming about human emotions and about intimacy, and more people are using it as a friend, as a therapist, as a partner, and more products are now being developed


Major discussion point

Human Rights and Dignity


Topics

Digital identities | Privacy and data protection | Sociocultural


Building your own AI systems provides better control and interoperability

Explanation

Su Sonia promotes Diplo’s AI Apprenticeship program as an example of how organizations can build their own AI systems. She suggests this approach offers better control and interoperability compared to relying on external platforms, though acknowledging limitations in imposing standards on major platforms.


Evidence

Diplo’s AI Apprenticeship allows you to build your own AIs. They are interoperable within Diplo system. AI Apprenticeship is innovative approach where you learn about AI by developing AI


Major discussion point

Standards and Interoperability


Topics

Digital standards | Capacity development | Online education


Agreed with

– Jovan Kurbalija

Agreed on

Building local AI systems provides better control and autonomy


There are scandalous developments with AI-generated content like deepfakes

Explanation

Su Sonia highlights concerning developments in AI-generated content, specifically mentioning features like Grok’s ability to create inappropriate images of people. These developments raise serious ethical and legal concerns about AI’s potential for misuse in content creation.


Evidence

Latest being these new futures with Grok, the X-Platform’s AI agent. Undressing people and people using this


Major discussion point

Content and Regulatory Tensions


Topics

Content policy | Human rights principles | Privacy and data protection


Creative solutions like using server heat for residential heating show promise

Explanation

Su Sonia mentions innovative approaches to addressing AI’s environmental impact, such as using waste heat from AI servers for residential heating in Finland. However, she notes that scalability remains a challenge, as solutions that work in small countries may not be applicable globally.


Evidence

I heard in Finland, they were using the heat from servers and AI farms to heat residents and buildings during winter. But when it comes to this stuff, it’s all about scalability. Scandinavia and Finland, it’s not that big


Major discussion point

Environmental Sustainability


Topics

Sustainable development | Critical infrastructure


Agreed with

– Jovan Kurbalija

Agreed on

Environmental concerns about AI infrastructure are significant


Disagreed with

– Jovan Kurbalija

Disagreed on

Scope of environmental solutions for AI energy consumption


Students using AI for essays are losing critical thinking skills

Explanation

Su Sonia raises concerns about the educational impact of AI, specifically noting that students who use AI tools like ChatGPT to write essays may be losing the ability to develop critical thinking skills. This represents a fundamental challenge to traditional educational approaches and learning outcomes.


Evidence

Students are using ChargePT to write their essays. They’re not anymore developing critical thinking


Major discussion point

Impact on Diplomacy and Professional Work


Topics

Online education | Future of work | Human rights principles


Agreed with

– Jovan Kurbalija

Agreed on

AI’s impact on education and critical thinking is concerning


Agreements

Agreement points

AI security vulnerabilities through API connections are severely under-recognized

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

API connections between AI tools create massive cybersecurity vulnerabilities


This security issue is completely under the radar despite its significance


Summary

Both speakers agree that the massive security risks posed by millions of API connections between AI systems represent a critical but largely ignored vulnerability that could cause major collapse of digital infrastructure


Topics

Cybersecurity | Network security | Critical infrastructure


Building local AI systems provides better control and autonomy

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Bottom-up AI with small language models running locally will be critical for knowledge control


Building your own AI systems provides better control and interoperability


Summary

Both speakers advocate for developing local, self-controlled AI systems rather than relying on centralized platforms, emphasizing the importance of maintaining control over knowledge and data


Topics

Digital standards | Privacy and data protection | Data governance


AI’s impact on education and critical thinking is concerning

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

New human rights related to cognition, knowledge, and remaining humanly imperfect are being ignored


Students using AI for essays are losing critical thinking skills


Summary

Both speakers express concern about AI’s negative impact on human cognitive development, particularly in educational contexts where students may lose critical thinking abilities


Topics

Online education | Human rights principles | Future of work


The multi-stakeholder governance model is under threat

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Current governance mechanisms are failing to protect citizens’ digital interests


Multi-stakeholder approach in internet governance is changing drastically


Summary

Both speakers acknowledge that traditional internet governance approaches are failing and undergoing dramatic changes, with reduced effectiveness in protecting citizen interests


Topics

Data governance | Legal and regulatory | Human rights principles


Environmental concerns about AI infrastructure are significant

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Massive AI data farms consume enormous energy and water resources


Creative solutions like using server heat for residential heating show promise


Summary

Both speakers recognize the substantial environmental impact of AI infrastructure, though they discuss different aspects – Kurbalija questions the necessity while Su Sonia explores mitigation solutions


Topics

Sustainable development | Critical infrastructure | E-waste


Similar viewpoints

Both speakers support the principle that national governments should have authority over content regulation within their territories, particularly given concerning developments in AI-generated content

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Countries have the right to make content rules for their territory


There are scandalous developments with AI-generated content like deepfakes


Topics

Content policy | Jurisdiction | Legal and regulatory


Both speakers observe and acknowledge the trend toward digital fragmentation and decentralization as different countries and regions adopt varying approaches to AI and digital governance

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Digital fragmentation is accelerating around US, China, and potentially EU hubs


Countries are taking different stances risking decentralization


Topics

Digital standards | Jurisdiction | Critical internet resources


Both speakers express concern about AI systems increasingly targeting and potentially exploiting human emotions and relationships, seeing this as part of broader risks to human autonomy and dignity

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

AI products are increasingly targeting human emotions and intimacy


There’s a risk of techno-feudalism or even techno-slavery


Topics

Digital identities | Privacy and data protection | Human rights principles


Unexpected consensus

Developing countries may have advantages in AI development

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Developing countries may benefit from slower AI adoption by focusing on knowledge preservation


Explanation

Unexpectedly, Kurbalija argues that countries perceived as ‘backwards’ in AI development may actually benefit by focusing on knowledge preservation and local capacity rather than expensive hardware investments, challenging conventional wisdom about AI development priorities


Topics

Development | Capacity development | Digital access


AI bubble will not burst completely despite its existence

Speakers

– Jovan Kurbalija

Arguments

The AI bubble exists but is too big to burst completely


Explanation

Kurbalija presents a nuanced view that acknowledges the AI bubble’s existence while arguing it’s too integrated into the global economy to collapse entirely, offering a counterintuitive perspective on market dynamics


Topics

Digital business models | Economic


AI could benefit diplomacy by eliminating bureaucracy

Speakers

– Jovan Kurbalija

Arguments

This could end bureaucratic diplomacy and return focus to real negotiation skills


Explanation

Despite concerns about AI’s impact on human skills, Kurbalija unexpectedly sees positive potential for diplomacy, arguing AI could eliminate bureaucratic tasks and restore focus to core diplomatic skills


Topics

Future of work | Capacity development


Overall assessment

Summary

The speakers demonstrate strong consensus on critical risks and challenges posed by current AI development trends, including security vulnerabilities, governance failures, environmental concerns, and threats to human autonomy. They also agree on the importance of local control and the need for alternative approaches to AI development.


Consensus level

High level of consensus on identifying problems and risks, with shared concern about centralization, loss of human agency, and inadequate governance. This strong agreement suggests these issues represent genuine systemic challenges that require urgent attention from policymakers, technologists, and civil society.


Differences

Different viewpoints

Scope of environmental solutions for AI energy consumption

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Massive AI data farms consume enormous energy and water resources


Creative solutions like using server heat for residential heating show promise


Summary

While both acknowledge AI’s environmental impact, Kurbalija fundamentally questions the need for massive AI infrastructure, whereas Su Sonia focuses on innovative solutions to mitigate the environmental costs of existing large-scale AI systems. Kurbalija advocates for smaller, personal AI systems, while Su Sonia explores ways to make large systems more sustainable.


Topics

Sustainable development | Critical infrastructure | Digital business models


Unexpected differences

Terminology and framing of AI’s impact on human relationships

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Major tension exists between US tech companies and European Union regulations


AI products are increasingly targeting human emotions and intimacy


Explanation

Topics

Digital identities | Privacy and data protection | Sociocultural


Overall assessment

Summary

The discussion shows minimal direct disagreement, as it follows an interview format where Su Sonia primarily facilitates Kurbalija’s expert analysis. The few areas of difference relate to emphasis and approach rather than fundamental opposition – environmental solutions scope, reasons for security oversight, and framing of AI’s human impact.


Disagreement level

Low level of disagreement with high complementarity. The speakers generally build on each other’s points rather than challenging them. This collaborative dynamic is appropriate for the educational webinar format, but may limit the exploration of alternative perspectives on complex AI governance issues. The lack of substantive disagreement suggests either genuine consensus or insufficient diversity of viewpoints in the discussion.


Partial agreements

Partial agreements

Similar viewpoints

Both speakers support the principle that national governments should have authority over content regulation within their territories, particularly given concerning developments in AI-generated content

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Countries have the right to make content rules for their territory


There are scandalous developments with AI-generated content like deepfakes


Topics

Content policy | Jurisdiction | Legal and regulatory


Both speakers observe and acknowledge the trend toward digital fragmentation and decentralization as different countries and regions adopt varying approaches to AI and digital governance

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

Digital fragmentation is accelerating around US, China, and potentially EU hubs


Countries are taking different stances risking decentralization


Topics

Digital standards | Jurisdiction | Critical internet resources


Both speakers express concern about AI systems increasingly targeting and potentially exploiting human emotions and relationships, seeing this as part of broader risks to human autonomy and dignity

Speakers

– Jovan Kurbalija
– Su Sonia

Arguments

AI products are increasingly targeting human emotions and intimacy


There’s a risk of techno-feudalism or even techno-slavery


Topics

Digital identities | Privacy and data protection | Human rights principles


Takeaways

Key takeaways

AI is becoming a commodity and moving toward bottom-up development with small language models that can run locally, giving users more control over their knowledge and data


The tech domain cannot be isolated from geopolitical developments and will be profoundly impacted by fragmentation around US, China, and potentially EU hubs


Current governance mechanisms are failing to protect citizens’ digital interests, with representatives unable to adequately address digital rights issues


There is a significant risk of techno-feudalism or techno-slavery if knowledge becomes centralized in big AI systems


API connections between AI tools create massive but under-recognized cybersecurity vulnerabilities


Human rights discussions need to evolve beyond bias and ethics to address new rights related to cognition, knowledge, and remaining humanly imperfect


Developing countries may benefit from slower AI adoption by focusing on preserving local knowledge rather than competing on hardware


Interoperable AI standards are critical to avoid platform lock-in similar to what happened with social media


Major tensions exist between US tech companies and EU regulations regarding content policies and digital sovereignty


The massive energy consumption of AI data farms is questionable given that individual cognitive needs may not require such powerful systems


Resolutions and action items

Diplo will provide follow-up documents with survey results from the discussion


Digital Watch will monitor questions raised during the session on a monthly basis


AI Apprenticeship program will be strengthened with next cohort starting in April 2026


Participants can submit specific questions for monitoring by Diplo AI


Geneva should focus on three specific contributions: apprenticeship programs, verification of global information, and AI standards development


Organizations should develop their own local AI systems rather than relying entirely on centralized platforms


Countries should invest in preserving local knowledge and developing open source platforms locally


Unresolved issues

Whether the AI bubble will burst completely or just experience small bursts leading to further centralization


How to effectively protect citizens’ digital interests when current governance mechanisms are inadequate


Whether Europe will successfully establish itself as a third major AI hub alongside US and China


How to prevent techno-slavery and maintain human agency in an increasingly AI-dependent world


Whether countries can successfully enforce their content regulations against powerful US tech companies


How to address the massive cybersecurity vulnerabilities created by millions of API connections


Whether developing countries can successfully leverage their slower AI adoption into a strategic advantage


How to balance AI development benefits with environmental sustainability concerns


Whether multilateral systems like those in Geneva can survive current geopolitical pressures and US withdrawal of support


Suggested compromises

Focus on developing local, interoperable AI systems that can work across platforms rather than being locked into single providers


Invest the traditional 80% hardware focus into the neglected areas of knowledge, skills, and organizational changes for better ROI


Use creative solutions like repurposing server heat for residential heating to address environmental concerns while maintaining AI development


Develop AI apprenticeship programs that teach about AI by building AI, combining practical skills with governance understanding


Position international organizations as verifiers of global information rather than just information providers


Allow countries to maintain their content regulations while tech companies adapt their services accordingly


Focus AI governance discussions on practical citizen protection rather than repeating abstract concepts about ethics and bias


Thought provoking comments

AI is becoming commodity. What does it mean? You go to the shop and you take AI… Apple basically started slowing down their attempts to develop Apple LLM. And their point is, hey, it is commodity, we have thousands of large language models, let’s focus on something else.

Speaker

Jovan Kurbalija


Reason

This fundamentally reframes the AI discussion from scarcity to abundance, challenging the prevailing narrative about AI being cutting-edge and exclusive. It suggests a paradigm shift where the value moves from creating AI to applying it effectively.


Impact

This comment set the foundation for the entire discussion by establishing that the focus should shift from AI development to AI governance and application. It moved the conversation away from technical capabilities toward strategic implications and societal impacts.


The key question won’t be about having your personal AI, but the key question will be is this personal AI on your mobile connected to some central system… or it remains as your local AI completely controllable by you… Bottom-up AI is technically feasible, financially affordable, and ethically desirable.

Speaker

Jovan Kurbalija


Reason

This introduces a critical distinction between centralized and decentralized AI that has profound implications for privacy, autonomy, and power structures. It challenges the assumption that centralized AI systems are inevitable or desirable.


Impact

This comment became a recurring theme throughout the discussion, influencing conversations about governance, human rights, and techno-feudalism. It provided a framework for understanding AI not just as a technology but as a choice between different models of control and autonomy.


We speak a lot about data protection and it’s understandable, but data is just ingredients. What is happening currently is that our knowledge is captured… These are insights, reflections, some possible wisdom. And this is what we have to revisit our terminology.

Speaker

Jovan Kurbalija


Reason

This distinction between data and knowledge is profound because it reframes what’s at stake in AI development. It moves beyond technical concerns about data to existential concerns about human cognition and wisdom being appropriated.


Impact

This insight elevated the discussion from technical and regulatory issues to philosophical and existential ones. It influenced subsequent conversations about human rights, dignity, and what defines us as humans, making the discussion more profound and urgent.


I think we are facing the risk of techno-slavery. Feudalism, at least the peasants who were the feudal places had some sort of agency. If we pass all of our knowledge to big system, there could be new forms of the slavery because what is the slavery? It’s not only physical slavery, it’s basically not having the right to make a choice.

Speaker

Jovan Kurbalija


Reason

This is a stark and provocative analogy that goes beyond typical concerns about AI to suggest we might be creating new forms of human subjugation. It’s particularly powerful because it connects historical forms of oppression to contemporary technological developments.


Impact

This comment dramatically escalated the stakes of the discussion, moving from policy concerns to existential threats to human freedom. It influenced the subsequent discussion about human rights and governance, making clear that these aren’t just technical issues but fundamental questions about human dignity and autonomy.


We have millions and millions of connections where you connect to ChargPT, to DeepSeek, to Anthropic Cloud… All of these tools that are basically connecting are potential backdoors for the cybersecurity attacks… it’s completely under the radar.

Speaker

Jovan Kurbalija


Reason

This identifies a massive but overlooked security vulnerability in the current AI ecosystem. It’s insightful because it reveals how the rush to integrate AI tools may be creating unprecedented security risks that aren’t being adequately addressed.


Impact

This comment introduced a new dimension to the security discussion that hadn’t been considered, showing how AI integration creates novel vulnerabilities. It demonstrated the complexity of AI adoption beyond the obvious benefits and highlighted the need for more comprehensive security thinking.


Do I need super trooper AI platform which companies are developing when I can have my small AI basically being extension of my thinking? Or Diplo’s AI being extension of our courses and training?… Do we really need this crazy development of platforms which are using enormous amount of energy and water?

Speaker

Jovan Kurbalija


Reason

This challenges the fundamental assumption driving massive AI infrastructure investments by questioning whether the scale of current AI development matches actual human needs. It’s a common-sense critique of the AI arms race.


Impact

This comment provided a practical counterpoint to the hype around large-scale AI systems, influencing the discussion about environmental impact and sustainable AI development. It offered a more human-centered perspective on what AI should actually accomplish.


Since we’re at that point where if it’s good for the economy, then we don’t need to think about human rights. If there’s a new policy by a tech company and it’s bringing in money, so if it’s beating the economy, we don’t have to think about human rights.

Speaker

Su Sonia


Reason

This observation captures a critical shift in priorities where economic considerations are systematically overriding human rights concerns. It identifies a dangerous trend in how AI policies are being evaluated and implemented.


Impact

This comment helped crystallize the tension between economic and human rights considerations that ran throughout the discussion. It provided a framework for understanding why governance mechanisms are failing to protect individual interests against corporate power.


Overall assessment

These key comments fundamentally shaped the discussion by moving it beyond typical AI hype and technical considerations to address deeper questions about power, autonomy, and human dignity. Kurbalija’s insights about AI commoditization, knowledge capture, and techno-slavery created a framework that elevated the entire conversation from policy minutiae to existential concerns about human freedom and agency. Su Sonia’s observations about the economy-human rights tension provided important counterpoints that helped crystallize these themes. Together, these comments transformed what could have been a routine AI forecast into a profound examination of how technological development intersects with fundamental questions about human society, governance, and individual autonomy. The discussion became increasingly urgent and philosophical as these insights built upon each other, creating a compelling narrative about the need for more human-centered approaches to AI development and governance.


Follow-up questions

Will the AI bubble burst?

Speaker

Su Sonia


Explanation

This is a critical economic question that affects global investment patterns and market stability, with significant implications for the future of AI development and adoption


How can our governance efforts better help citizens, companies, and communities address their digital concerns including cybersecurity, data protection, knowledge protection, education, and IPR?

Speaker

Jovan Kurbalija


Explanation

This addresses a fundamental gap in current digital governance where existing mechanisms are failing to protect citizens’ digital interests effectively


How to monitor and address the security vulnerabilities created by millions of API connections between AI tools?

Speaker

Jovan Kurbalija


Explanation

This represents a completely under-the-radar cybersecurity risk that could cause major collapse of modern digital industry if exploited


How to develop and protect new categories of human rights related to cognition, knowledge, dignity, education, and jobs in the AI era?

Speaker

Jovan Kurbalija


Explanation

The human rights landscape is changing rapidly with AI, requiring new frameworks to protect what defines us as humans beyond traditional bias and ethics discussions


How can countries preserve and protect their local knowledge (not just data) in the face of AI centralization?

Speaker

Jovan Kurbalija


Explanation

This is critical for national sovereignty and preventing knowledge colonization by big tech companies


How to develop interoperable AI standards to avoid the same lock-in problems experienced with social media platforms?

Speaker

Jovan Kurbalija


Explanation

Learning from past mistakes with social media platform lock-in is essential to maintain user agency and prevent monopolization in AI


How to prevent knowledge serfdom or even knowledge slavery through AI centralization?

Speaker

Jovan Kurbalija


Explanation

This addresses the fundamental risk of losing human agency and dignity if all knowledge is centralized in big AI systems


Will geopolitical tensions threaten energy supplies and how would this impact AI developments and uptake?

Speaker

Participant (via chat)


Explanation

Energy supply is critical for AI infrastructure, and geopolitical disruptions could significantly affect AI development and deployment globally


Are AI summits and conferences helping move AI policy in the right direction or are they just talk shops?

Speaker

Participant (via chat)


Explanation

This questions the effectiveness of current AI governance efforts and whether they are producing meaningful policy outcomes


Will international Geneva, including Diplo, emerge as a true hub for tech diplomacy by 2026-2027, or is Geneva facing its limits to growth?

Speaker

Participant (via chat)


Explanation

This addresses the future role of traditional diplomatic centers in the evolving landscape of tech diplomacy and multilateral governance


Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.