At the beginning of July, the Foreign Ministry Collegium held a regular meeting; however, the topic was anything but routine. The discussion focused on information and communication technologies, specifically the new challenges posed by artificial intelligence. Though the results were summarised in an official news release, the meeting was merely the first step in a far broader effort. It marked the launch of a substantive intra-ministry debate and the ministry’s adaptation to addressing AI-related challenges within the international dimension of this vast topic.
New dependency mechanisms
In the context of this discussion for a wider audience, I would like to delve deeper into the political backdrop of digital transformation and the role that neural network technologies are poised to play in it. Undoubtedly, as a key driver of the Fourth Industrial Revolution, AI has been shaping a new economic, socio-cultural, and political system right before our eyes. These changes are particularly evident in the industrial, financial, and economic spheres across nations – yet the explosive development of machine learning is increasingly acquiring a political dimension. To establish the appropriate semantic framework for this “underside” of digitalisation, we must first outline the ideological coordinates adopted by certain geopolitical players advancing artificial intelligence.
That framework is neo-colonialist thinking.
When combined with AI, neo-colonialism takes on a truly global, technologically sophisticated dimension. Beyond the traditional dominance of the so-called “golden billion,” the rest of the world now faces novel mechanisms of dependency – more subtle than classical colonial subjugation, yet far more pervasive and enduring. Developing nations are no longer merely reliant on imported hardware or software; they are increasingly subjected to algorithmic governance, which dictates critical processes – from logistics to education, from healthcare to the shaping of public opinion. This represents a higher-order resource dependency, where influence is exported through information control, data supremacy, and access to computational power.
Who can and wants
to dictate the terms?
This governance is increasingly concentrated in the hands of a select agglomeration of powerful states and corporations – entities that have monopolised cutting-edge technologies and their supporting infrastructure. Control over such resources translates into the power to dictate terms, impose behavioural models, reshape worldviews and manipulate collective consciousness. Ultimately, it enables influence over decision-making – not just at the governmental level, but on individual citizens – operating “at the moment,” executing this influence in real time.
AI technologies now enable the direction or outright substitution of reality at previously unimaginable scales. This influence operates through both traditional information channels and the digital environment – which permeates, unnoticed, every facet of daily life. Most disturbingly, neural network manipulations bypass logical reasoning and factual arguments entirely, instead targeting our automatic reflexes, moral and ethical convictions, and even the subconscious itself.
A radically new architecture of control is emerging – one that embeds external influence directly into the psychological fabric of human decision-making, circumventing conscious choice and resistance altogether.
Therefore, AI is not only and not so much becoming an instrument of progress as a form of pressure and a driving force of global competition, including for people’s hearts and souls and their way of life, as well as a means of redistributing power in the world. The pursuit of this undivided leadership and the status of the rule of humankind’s destiny might create a future that is completely different from what the advocates of digital transition promise. This issue calls for a thorough analysis that will take into account both high-tech progress and economic realities, including their environmental aspects.
New visionary project
of a global Deep State
According to a brief published in July, PJM Interconnection, America’s largest power grid, it is under strain as data centres and AI chatbots consume power faster than new plants can be built. Electricity bills are projected to surge by more than 20 per cent this summer in some parts of PJM Interconnection’s territory, which covers 13 states – from Illinois to Tennessee, Virginia to New Jersey – serving 67 million customers in a region with the most data centres in the world. In light of the West’s centuries-long colonial habits, it is clear that the bulk of pressure on the systems that produce natural resources, electricity and other benefits needed to feed AI’s greed will be shouldered by the developing countries that imprudently believe the West’s promises of helping them “bridge the digital divide.” The British used to say that “the sun never sets on the British Empire,” which was serviced by its numerous colonies. The well-being of France was largely based on the enslaved Francophone countries. During the dark age in their history, Germans were building a Thousand-Year Reich. Artificial Intelligence is a new visionary project of the global Deep State.
Let us take a closer look at the nascent global locus of control based on facts and figures.
Creeping digitalisation
of all areas of economic activity
Its first element is the global economy, which is implementing a controlled digital transition, that is, a creeping digitalisation of all spheres of economic activity, including production, management, logistics, distribution, and so on. The OECD or so-called industrialised countries have created conditions under which the digital sector has become the fastest growing sector in the past six or seven years. It currently accounts for 3 per cent of global GDP. No other sector in history developed as quickly and on such a scale as digitalisation.
Digital standards are becoming the necessary condition for investment and attract up to 13 per cent of foreign investment, and this amount keeps growing more rapidly. Humanity is generating a vast amount of information, more per week than it generated over the previous thousand years. Therefore, big data processing is the key development trend now. Businesses admit and are aware of this. The implementation of new technologies increases their productivity by 5-6 per cent.
Another element of this mechanism is AI itself and its ever-growing influence on the global economy. According to the European Commission, two out of five companies in the EU countries are using AI, and the speed of AI proliferation has doubled in 2024 compared to 2023. Analysts assess the AI technology market in the United States at about 75 billion USD this year. It has grown by over 30 per cent year-on-year and continues to grow. AI technologies have taken over all households whose members use modern smartphones. AI is now integrated into nearly all smartphones using modern operating systems, that is, into the smartphones of every man, woman and child in the world.
Allocations for AI development are the best proof of the attention given to it. The United States has announced the allocation of 500 billion USD for the Stargate project focused on building AI infrastructure. Despite a gloomy economic outlook, the EU plans to spend €200 billion on InvestAI. Britain will invest £14 billion in the data centre sector alone. According to experts, China’s spending on AI over the past year (since 2024) could grow by 48 per cent to 84-98 billion USD.
Such exponential growth and digital transformation are inconceivable without exerting a direct impact on the systems underpinning the supply of resources and energy to the relevant infrastructure.
Rare earths and the battle
for economic redistribution
The principal resource required to sustain the expansion of production and the increasingly pervasive application of artificial intelligence standards is rare-earth metals – fossil elements with critically limited reserves. These very materials now lie at the heart of the trade wars between the principal suppliers of AI solutions on the global market. The political elites of Western nations – the majority of which lack domestic deposits of such substances – seek to secure unrestricted access to extraction sites located in the states comprising the World Majority. In pursuit of this goal, they resort to aggressive neo-colonial policies, which at times verge upon outright pillage and plundering.
According to estimates from the United Nations Conference on Trade and Development (UNCTAD) and the United Nations Institute for Training and Research (UNITAR), the extraction of minerals necessary for AI systems has evolved into a struggle over a global economic repartition of planetary scale. The production of a single 100-gram smartphone requires approximately 70 kilogrammes of raw materials – extracted predominantly in Third World countries. Smartphones are manufactured in billions. As deposits of these indispensable elements and minerals are largely located in developing countries, Western manufacturers exploit not only their subsoil, but also their labour force. Experts now speak of a phenomenon termed “mineral colonialism.”
The extraction of minerals critical for the digital transformation – including graphite, lithium, and cobalt – is projected to increase by 500 per cent by the year 2050, thereby exacerbating the already unequal distribution of environmental burdens and economic benefits. The countries of the so-called “collective West” will continue to drain resources from the developing world, whilst the states of the Global South are consigned to further impoverishment through digital inequality.
Huge costs for energy and water
If this trend holds true with respect to resources, it is all the more relevant in relation to the energy and water costs incurred by cooling computational infrastructure. According to UNCTAD’s own figures, electricity consumption by the thirteen largest data processing centre operators more than doubled between 2018 and 2022. In 2022 alone, data centres across the world consumed as much energy as the entire France – some 460 terawatt-hours (TWh) – and this figure is expected to double again within just the next three years. Meanwhile, the American corporation Google consumed more than 21 million cubic metres of potable water in 2022 solely to cool its servers. Microsoft, for its part, utilised 700,000 litres of clean drinking water to train its generative AI model, GPT-3. Let us recall that, according to United Nations estimates, two billion people across the globe lack stable access to clean drinking water. From the perspective of the West, it would appear that water is better spent on artificial intelligence than on the natural kind.
The ‘collective West’
still wants to set the standards
Yet another component of the nascent neo-colonial order has emerged in the form of the environmental and ideological platform, which neoliberal forces within the countries of the so-called “collective West “continue to promote. For themselves, they have engineered a universal system of economic permissiveness, steeped in the most egregious traditions of the rapacious, unregulated capitalist model. Simultaneously, they assert that any economic development undertaken by the so-called “non-chosen” countries must rigidly conform to the West’s “green” standards. Having completed their own era of intensive industrialisation, the OECD countries now impose political constraints on the economic growth of countries comprising the World Majority. They, however, do not hesitate to resort to “dirty practices” when mineral extraction and production are conducted at a distance from cities in the United States and Europe. The mounting demand for data transmission, processing, and storage required by emerging technologies – such as blockchain, AI, 5G mobile networks, and the Internet of Things – does not curtail, but rather exacerbates, CO2 emissions. The entire sector already accounts for over 3 per cent of global greenhouse gas emissions – amounting to as much as 1.6 gigatonnes of CO2-equivalent in 2020. Carbon emissions are rising at a logarithmic pace.
This deliberate “management” of:
a) digitalisation,
b) AI implementation, and
c) the “green agenda”
has propelled the AI sector into a phase of revolutionary progress – a “quantum leap”. At the close of the last decade, a qualitatively new architecture of deep neural networks, known as transformers, was introduced; by the outset of the present decade, it had been deployed within truly mass-scale platforms such as ChatGPT, capable of adaptation to virtually every domain of human activity. It has now become evident that all subsequent processes of sustainable development, digital transformation, defence infrastructure, political engineering, mass communications, education, healthcare – even creativity in its broadest interpretation – will inevitably be interwoven with the universal application of these technologies. The trajectory of humanity’s evolutionary vector has revealed itself with clarity. The assertions made by Russian President Vladimir Putin have gained in credibility – namely, that the state which commands leadership in the production of such technologies will attain global supremacy, and that their deployment marks the commencement of a new chapter in human existence. This has already become a theatre of geopolitical rivalry, of colossal financial investment, and of new forms of technological expansion for the aforementioned reasons.
Multipolarity and international
relations in the AI era
A thorough engagement with AI matters enables us to assert with confidence: AI, in line with the logic of its adherents, has spontaneously emerged as an autonomous cluster within international relations. Issues relating to neural networks are now permeating the agendas of international and regional structures at an accelerating pace.
Among the most prominent developments, one may highlight the United Nations platform, where intergovernmental consultations are presently under way regarding the launch of a Global Dialogue on AI Governance and the formation of an International Scientific Panel on Artificial Intelligence. Consideration is also being given to the establishment of a dedicated UN fund to support technical assistance initiatives in this field. Since the beginning of the year, a digital office has been operating within the Secretariat of the Organisation. At UNESCO, vigorous discussions are taking place concerning the formation of ethical norms and standards for AI – based, in part, upon the 2021 Recommendation on the Ethics of Artificial Intelligence. Under the auspices of UNIDO, the Global Alliance on AI for Industry and Manufacturing is operational. The ITU convenes the annual “AI for Good Summit”. Even the OSCE has sought to carve out a niche in this domain. These rapidly evolving processes, unfolding across numerous multilateral platforms and forums, are unmistakable indicators of the intensifying global race for leadership in this sphere. They demand the unremitting attention and active engagement of the state – including the Ministry of Foreign Affairs. Ultimately, the construction of a fair multipolar world is intrinsically dependent upon our capacity to thwart attempts at resurrecting neo-colonial exploitation and inequality in “digital form”. •
Source: Rossiyskaya Gazeta/Russian Newspaper of 17 July 2025; https://rg.ru/2025/07/17/neokoloniializm.html
(Official Translation of the Ministry of Foreign Affairs of the Russian Federation https://www.mid.ru/ru/foreign_policy/borba_s_kolonializmom_i_neokolonializmom/2045271/?lang=en)
mw. “The AI hype is based on three types of companies that are networked and interdependent.” Firstly, software companies such as Open AI, which, according to the “Neue Zürcher Zeitung”, triggered the whole hype; secondly, cloud providers (Oracle, Microsoft, Core Weave), that provide huge amounts of computing power; and thirdly, chip manufacturers such as Nvidia or AMD. The whole model costs an incredible amount of money and consumes vast amounts of energy and water that are urgently needed elsewhere in the world to meet people’s basic needs. A few highlights:
One trillion dollars
for Open AI’s infrastructure
“One trillion dollars. That’s how much money Open AI, the company that invented ChatGPT, wants to invest in infrastructure for generative artificial intelligence (AI) over the next few years. That’s enough to build the Swiss Gotthard Tunnel 75 times, and the sum exceeds Switzerland’s annual GDP.”
Electricity demand
for the whole of Switzerland –
just for the chips required
To enable Open AI to develop and operate ChatGPT and other software, cloud providers such as Core Weave or Microsoft are building huge data centres, “those need to be supplied with and cooled by large amounts of electricity and water”.
Chip manufacturer Nvidia plans to invest up to 100 billion USD in Open AI over the next few years and will receive shares in Open AI in return. In return, Open AI plans to “purchase 10 gigawatts of Nvidia chips – roughly equivalent to the electricity consumption of the whole of Switzerland”.
Unimaginable profits
The chip company Nvidia is “the big winner from investments in AI. Nvidia is the most valuable company in the world, worth 4.4 trillion USD. In the last quarter, it made a profit of 26 billion USD.”
The icing on the cake:
it is not productive companies
that benefit from AI
A new study shows that most companies do not become more productive as a result of AI. “So far, it is mainly the tech companies themselves that are benefiting. They are securing billions, investing in each other and thus giving the impression of big business. The circular dynamic is fuelling the hype – but it could end dangerously. Financial experts are warning of a speculative bubble.”
Source: Hunziker, Malin. “Die Kreislaufwirtschaft der KI.” (The circular economy of AI),
Neue Zürcher Zeitung of 13 October 2025
Artificial intelligence exacerbates digital colonialism
by Sven Hilbig*
What humans cannot achieve; artificial intelligence may be able to: make the world a better place. But this hope is naive – and dangerous. ChatGPT and similar technologies threaten to further deepen existing global inequalities.
[…] A new report by the United Nations Conference on Trade and Development (UNCTAD) shows that the current hype surrounding AI is just a foretaste of the boom to come. According to UNCTAD, the global AI market is set to grow 25-fold to 4.8 trillion USD by 2033 compared to 2023.
This growth is not evenly distributed across the globe. Forty percent of investments in AI research and development come from just 100 companies. Three out of four of these companies are based in the USA, China or Germany. Three factors are responsible for this dominance: the digital infrastructure available in these countries, the qualifications of their workforce and the state of local AI research. A UNCTAD index on the AI potential of different countries shows that even the economic heavyweights of the Global South only rank in the middle: India in 36th place, Brazil in 38th and South Africa in 52nd.
[...] Although a good two-thirds of humanity now has internet access, the quality of connections, which is crucial for AI, still varies greatly. On the African continent, for example, almost three-quarters of internet users only have mobile access. Since data-intensive applications such as AI require fixed-line broadband connections, significant investment would be needed to expand these. […]
The hype surrounding generative AI for language or image models such as ChatGPT is driving up data consumption, computing capacity requirements and, consequently, energy demand.
While ChatGPT 2 was trained on 40 gigabytes of text and 1.5 billion parameters, the fourth version of this AI is based on 25,000 times as much text and 700 times as many parameters. The race for the fastest and smartest AI has led to 25 million new servers being put into operation worldwide between 2015 and 2022. According to calculations by the International Energy Agency, data centres worldwide consume almost as much electricity per year as France, the seventh largest economy in the world.
In the USA, the closure of a coal-fired power plant was postponed because otherwise the electricity demand of Google’s new data centres could no longer have been met. Google also had to admit that a good third of its energy still comes from carbon-based sources. The price is paid in particular by people in the Global South, who are most affected by the consequences of climate change. What will happen to them when the global AI market grows more than twentyfold over the next eight years?
There are also serious gaps in terms of the consequences of the AI boom for human rights. The use of AI in wars and military conflicts is [almost never] mentioned – for example, the devastating effects of drone strikes, in which the target, i. e., the person to be killed, is identified on the basis of data collected in advance by the secret services and the military. Former US intelligence chief Michael Hayden sums up this new form of warfare with the phrase “We kill people based on metadata”. AI makes probability calculations based on the behaviour or movement patterns of groups or individuals. If the patterns match the criteria for the “terrorist” type, an attack is likely.
This means that drones can also strike “innocent” people who are not terrorists. The dangers posed by AI as a weapon in wars and civil wars in the Global South are immense.
From a human rights perspective, it is also problematic that millions of data workers, especially in countries in the Global South such as Kenya and India, have to view and read traumatising images and texts of child abuse, torture, rape and executions on a daily basis and then have to sort them out so that we can use AI applications such as ChatGPT without worry. The clients, AI companies such as Google and OpenAI, are based in the USA, Canada, Europe and Australia. These new forms of exploitation are one reason why a growing number of scientists, human rights and development organisations, and social movements are criticising the current global order as digital colonialism. […]
Source: https://www.welt-sichten.org/artikel/44020/kuenstliche-intelligenz-verschaerft-digitalen-kolonialismus
of 28 May 2025
(Translation Current Concerns)
* Sven Hilbig is a digital expert at “Bread for the World” and co-author of the book “Digital Colonialism: How Tech Companies and Superpowers Are Dividing Up the World”, published in February 2025 by C. H. Beck.
The UN Conference on Trade and Development (UNCTAD) published its “Technology and Innovation Report 2025” on Thursday. According to UNCTAD, artificial intelligence (AI) is on track to become a global market worth 4.8 trillion USD by 2033 – roughly equivalent to the size of the German economy.
The Technology and Innovation Report 2025 warns of increasing inequality in the AI landscape and shows ways for countries to harness the potential of AI. The report shows that just 100 companies, mainly from the United States and China, account for 40 per cent of global private investment in research and development, indicating a significant concentration of power.
At the same time, 118 countries – mostly from the Global South – are completely excluded from global AI governance discussions.
UNCTAD Secretary-General Rebeca Grynspan emphasised the importance of “working together to create a global framework for artificial intelligence”.
According to UNCTAD, developing countries in particular should strengthen three key levers in order to avoid being left behind: infrastructure, data and skills.
In addition to national measures, UNCTAD calls for stronger international cooperation to steer the development of artificial intelligence.
The report proposes the establishment of a common global infrastructure that gives all countries equal access to computing power and AI tools.
UNCTAD also recommends the introduction of a publicly accessible disclosure framework for AI, similar to the existing ESG (environmental, social, governance) standards, in order to strengthen transparency and accountability.
“History has shown that while technological progress drives economic growth, it does not on its own ensure equitable income distribution or promote inclusive human development,” Grynspan emphasised, calling for people to be placed at the centre of the AI revolution.
Source: https://unric.org/de/un-bericht-ki-zukunft-droht-digitale-kluft-zu-vertiefen/
(Translation Current Concerns)
by Urs Graf
When I switch on my writing system for this text, it offers to do the work for me. But I decline the offer because I want to think and formulate things myself.
So-called AI is an innovation. Humans (not as men, but as a species) have always acquired tools to make their lives easier. They discover materials, substances and active ingredients, and they develop processes and working methods that open up ever more possibilities for shaping their environment. The use of networked computers, for example, is no exception to this, but rather an enhancement.
These achievements have never come without a price. A sensible, useful approach to innovation must always be learned. This happens through education and training. Sensible learning is personal learning, as Wilhelm Busch put it: “It is not the ABC alone that brings man to greatness, it is not in writing and reading alone that a sensible being practises; it is not in arithmetic alone that man should exert himself; but also, the teachings of wisdom must be heard with pleasure. That this was done with reason was thanks to Mr Lämpel, the teacher. Education is more than practising skills and accumulating knowledge – it also requires ethics. Not everything that is possible should be done without consideration.
What can happen when learners “emancipate” themselves prematurely can be read in Goethe’s “The Sorcerer’s Apprentice”. In general, the term “learner” should not be limited to a certain age group or to those who lack school and university certificates.
We are facing a task for humanity. Every generation must face it – regardless of the level of civilisation and its technical capabilities.
Globalisation has brought us a market society and pushed us, as citizens of democratic states, into the position of “customers”, while the state has been downgraded to a “business model”. As a result, political decisions are increasingly being overridden by economic interests, with those who represent these interests neither needing nor wanting to engage in democratic debate. What counts is success on the capital market, which has long since surpassed and dominated all areas of the real economy many times over. The expectation of quick returns on investments in scientific research, which has already been largely privatised, stands in the way of genuine progress for humanity. Without ethics, AI also runs the risk of being controlled and abused by such interests. There are many examples that show that the socio-political consequences of hastily disseminated innovations have not been given sufficient consideration. They have not only served people’s lives, but also caused damage that was noticed too late.
In the public debate on AI, there are financial objections and legal concerns that are clearly justified. Parents and educators have legitimate concerns about losing their children to confusing chat communities and must be supported by legal regulations to ensure the protection of their children.
Ultimately, it is always about how humans understand themselves. As with previous innovations, we tend to project human characteristics onto our products. Terms such as “electronic brain”, “artificial intelligence” etc. reveal, when viewed in the light of day, exaggerated expectations of these products. We cannot replicate life with them – and certainly not optimise it, as some believe.
The greatest danger lies in our desire to transfer responsibility for our lives to these machines. That would make us slaves to technology – or to those who operate it.
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