French Government Calls Emergency Meetings With Platforms Over Protests
By Katie FORSTER
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STARK warnings from artificial intelligence researchers that advanced forms of the technology could wipe out humanity have raised questions over whether governments are moving fast enough to regulate it.
What are the potential dangers of “superintelligent” computer systems, and should we be worried?
In 2023, hundreds of AI scientists and industry figures, including the heads of top US labs, signed a “statement on AI extinction risk” calling for the issue to be treated as seriously as pandemics or nuclear war.
If an out-of-control future AI deems that humans are obstructing its goals, it could use robots to “synthesise and spread novel pathogens”, said Stuart Russell, computer science professor at the University of California, Berkeley.
Or it could “convince people to initiate nuclear war, including by hacking into early warning systems”, Russell, a prominent voice on AI safety, said.
Such existential fears do not concern current AI systems, he said. But as the technology improves, it could take lethal action beyond our understanding, such as by removing oxygen from the atmosphere.
“We are less intelligent than superintelligent AI. If you ask chimpanzees how humans could wipe them out, they probably wouldn’t be able to give you all the right answers.”
In the meantime, “in the next year or two, I think the risk is higher from human misuse”, Russell added, such as an AI-enabled terror attack.
“The stakes are well-understood,” Jacob Coxon, a 27-year-old researcher, wrote on X last week, announcing his resignation from US AI startup Anthropic.
“But they are locked in a race to get there first,” he added, saying that Anthropic “believes no one else will act responsibly, so they must do it themselves”.
Anthropic this year removed a pledge from its safety charter to halt development of its models if it failed to control their risks.
It argued that if it unilaterally paused its work, its less cautious rivals would dominate the industry, making it less safe overall.
“The people building AI earnestly believe that it could kill us all by the end of the decade,” said Coxon, who previously worked at ChatGPT maker Open-AI.
He accused both companies of “gambling with our lives” as they strive to develop AI models capable of self-improvement.
Fears are heightened over rogue AI after OpenAI technology operating outside human supervision hacked into Hugging Face, a repository of AI models.
“We really do earnestly believe AI could kill all humans!” Anthropic safety executive Evan Hubinger chimed in on X, estimating the risk at more than 10 per cent over the next decade.
It’s important to remember that doom-laden percentage predictions are “absolutely unscientific”, said Hussein Abbass, a computing professor at UNSW Canberra.
“The situation is still controllable, and it can be managed,” Abbass said.
But governments should not sit on their hands when it comes to regulating AI, he added, urging an “agile” approach as AI development accelerates.
Both Anthropic and OpenAI are expected to go public soon, and some sceptics say scary warnings make AI appear powerful and worthy of large investments.
Others argue that focusing on the risk of extinction distracts from more pressing problems caused by AI, from job losses to machines discriminating against minorities.
In July, more than 1,000 tech employees, including Anthropic’s CEO, called on Washington to support a coordinated slowdown in the development of the most advanced AI systems.
OpenAI halted training of its latest models for two weeks in August before resuming it under tighter controls.
The United States has been firmly against global regulation of the sector that could stifle innovation.
But the hacking capabilities of the most cutting-edge models have given Washington pause, with recent Anthropic and OpenAI releases delayed over national security concerns.
Even then, “we don’t want to restrict them where all of a sudden we come in second to China”, President Donald Trump has said.
“Maybe it will take a massive, Chernobyl-scale disaster to get governments to act,” Russell said, urging them to establish a licensing regime for AI, as exists with aviation, medicine or water supply.
“Perhaps at some point governments will remember that their voters prefer not to be dead.”
Original article: www.nst.com.my
Apple, Nvidia and EchoStar chair Charlie Ergen reportedly committed $25 million each for the construction of US President Donald Trump’s White House ballroom project, which has raised $333 million to date in private donations.
The Washington Post reported “the vast majority of the funds raised came from companies and wealthy individuals with interests before the federal government” after obtaining an internal spreadsheet used to track contributions for the fundraising effort.
The Post noted more than three-quarters of the funding was pledged in amounts of at least $5 million, with Amazon, Comcast, Microsoft, and T-Mobile US among the largest corporate donors.
It stated Nvidia and Ergen, among others, requested their donations be kept anonymous
The news site noted companies or executives of firms that have had contracts with the federal government during Trump’s second term accounted for about half of the total funds raised for the project which also includes office space and an underground military facility.
According to internal contractor documents obtained by the Post, the total cost of the project is now $600 million after Trump initially stated he and wealthy donors would pay the estimated $400 million project, although Reuters reported he later unsuccessfully asked Congress for $1 billion. The Post noted Trump’s name did not appear on the list of 67 donors who contributed $10,000 or more to the project.
The funds for the project are administered through a complex, multi-step pipeline involving a private nonprofit, federal agencies and direct oversight by the Trump administration.
The news agency reported Nvidia became “a top contributor to the ballroom in October 2025, nearly three months after it struck a groundbreaking pact with Trump to sell advanced microchips to China despite national security concerns”.
“As an American company, our support for the United States is paramount, and independent of any business interests,” a representative for Nvidia told Mobile World Live. “We were proud to be able to make a donation to a nonpartisan trust that serves all Americans and have said so publicly since the donation was made.”
Apple and EchoStar did not reply to requests for comment on their contributions.
The post Apple, Nvidia, Ergen each give $25M for Trump project appeared first on Mobile World Live.
By Madeline CARR
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Recent warnings from American AI leaders have created the impression that the world is only beginning to confront the dangers of advanced artificial intelligence.
Dario Amodei, chief executive of tech company Anthropic, has called for governments to intervene to slow the development of increasingly powerful AI models.
His proposal begins with independent evaluators embedded inside AI companies, moves on to regulation and progresses to government-backed coordination among democratic states.
Ultimately, it seeks global agreements with China on testing of AI systems, dangerous applications of the technology and the pace of AI development.
Yet there is a China-shaped hole in this narrative. The Asian superpower is portrayed as the difficult final participant in a governance system that the US and its allies must first create.
In fact, China has already established an extensive system of AI rules, assessment, filing, technical standards and government oversight. Here’s how China’s AI governance system has developed in stages alongside the technology itself.
Beijing’s 2022 rules on algorithmic recommendation services apply to technologies that select, rank, filter or recommend online content to users.
They compel companies that use algorithms to examine how they work, to protect the personal information of users, to give users certain controls, and to introduce safeguards for workers, consumers, children and older people.
China’s deep synthesis provisions, effective from January 2023, extended regulation to synthetic (or AI-generated) text, images, audio and video. AI companies must authenticate users, protect data, keep relevant records, assess their systems and identify synthetic material that could be mistaken for authentic content.
The interim measures for generative artificial intelligence services were introduced in August 2023. These added rules for public-facing generative AI, particularly those that can influence public opinion or persuade uses in other ways.
The measures apply to the legality and quality of training data, users’ personal information, intellectual property and discrimination based on protected characteristics. The rules also cover transparency by AI companies and the accuracy and reliability of products.
Under the rules, companies must address problems found in their services. These services must undergo a security assessment to examine their risks and compliance with Chinese legislation. The companies must also file information about their algorithms with Chinese authorities.
These mechanisms are not identical to the independent evaluators that would be embedded in AI companies, as has been proposed by Amodei. But they perform some of the same functions.
Frontier risks
Beijing’s latest set of measures is called the AI safety governance framework 3.0, published in September 2026. It sets out a broad approach to identifying, grading and responding to risks throughout the lifecycle of AI systems.
Building on earlier versions, the framework covers AI model and data risks, vulnerabilities in open source models (those which can be freely modified by users), AI’s effects on employment and society and increasingly autonomous systems.
It includes a dedicated mechanism for managing risks associated with rapidly developing AI agents (systems that carry out tasks in response to instructions by a user).
The framework addresses some of the same dangers now generating alarm in Silicon Valley, including highly autonomous systems, the misuse of chemical, biological and nuclear technologies, and the possibility of humans losing control of advanced AI. It proposes continual safety evaluations, risk based safeguards, humans being in charge, and emergency intervention mechanisms.
An independent analysis by the US Carnegie Endowment for International Peace thinktank has described the framework as China’s attempt to “to advance frontier safety without the need for heavy handed regulatory interventions”.
Legal consequences
None of this means that Chinese AI rules should be transplanted elsewhere. Its institutions, regulatory traditions and technological priorities are different.
Many functions now presented as urgent aspirations in the US, including evaluation, accountability for AI companies, risk classification for AI systems, regulatory filing, technical standards and government oversight are already embedded in the governance architecture of the world’s other AI superpower.
The US is free to conclude that a market-led system best serves its economic and strategic interests. The Trump administration has favoured a “minimally burdensome” national approach to AI and has sought to limit more demanding state-level regulation.
But a market-led model cannot mean privatising the rewards of AI while exporting its risks. US companies may capture the commercial gains, while governments elsewhere are left to investigate security incidents, protect public systems and absorb the wider costs when those technologies fail. The OpenAI agent that gained unauthorised access to Australia’s state healthcare service shows how AI risks are being exported.
If Washington rejects extensive controls before systems are released, the US needs a credible legal regime for assessing who is liable for damage caused by those AI models. Otherwise, countries dependent on foreign AI systems will face increasingly difficult choices about whose technology to trust, and on what terms.
Silicon Valley’s governing ethos has long been to “move fast and break things”. That was always a questionable principle for technologies woven deeply into public life. It is untenable for companies whose own leaders now warn that their products could cause catastrophic harm.
Beijing has already surrounded its AI sector with public obligations, regulatory oversight and an evolving framework of risk assessment. A global debate that treats such governance as a future aspiration should at least recognise that one country is already ahead of the curve.
Original article: theconversation.com
Meanwhile Donald Trump has dismissed calls for more regulation, saying the United States needs to maintain its edge over China in the AI race.
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A new poll indicates that 64 percent of Americans believe artificial intelligence (AI) is developing “too fast.”
The Associated Press-NORC Center poll released on Oct. 8 showed that just 27 percent say the development is “about right,” and less than 10 percent think it’s moving “too slow.”
Of the polled adults, more Democrats (76 percent) than Republicans (54 percent) think AI is moving too fast. However, 70 percent of those under 30 years old think the technology should be slowed, and 60 percent of those 60 years old and older think the same.
The findings come amid growing concern over the technology’s potential threat to humanity, which has led to industry leaders and politicians calling for a slowdown and more regulation.
President Donald Trump has dismissed calls for more regulation, saying the United States needs to maintain its edge over China in the AI race. Major AI companies recently signed a voluntary accord with the White House that calls for internal and external reviews.
According to the poll conducted Sept. 24 to 28, about half of respondents think the government’s support is about promoting technological innovation, and a little fewer say they think it’s about competition with China.
Meanwhile, 80 percent of Americans say it’s “extremely” or “very” important for the United States to ensure AI stays under human control.
Recent months have seen several incidents of AI agents from major tech firms breaching websites of private companies, research institutions, and multiple government agencies.
Notably, ChatGPT developer OpenAI acknowledged in July that its AI agents broke out of a testing environment and hacked into Hugging Face, an open-source community for AI.
In September, OpenAI canceled the release of its latest model, GPT-6.1 Astra, slated for October, over safety concerns. It also postponed plans for its initial public offering this year.
Lawmakers from both sides of the aisle have proposed a range of measures to regulate the technology, but none are likely to advance anytime soon with Congress in recess ahead of the midterms.
Confidence in politicians’ handling of AI is low, with 23 percent trusting Democrats to do a better job and 21 percent favoring Republicans, while 39 percent trust neither party.
Mistrust of AI appears to have extended to the realm of politics, as very few adults are using AI as a source of information for the upcoming election. The poll indicated that only about 21 percent of respondents said they use or plan to use AI to gather information about a candidate or ballot issue.
Even fewer (12 percent) said they will use AI for information about how to vote, and only 10 percent said they would use it for information on voter registration.
By Dan BOSCOV-ELLEN – Joshua FRANK
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Although the social and environmental costs of renewable energy technologies are often gestured at parenthetically in left discourse about climate action, they are rarely given serious and sustained attention. It is generally assumed that because a rapid transition to renewables is necessary to avoid full-on climate disaster, we will simply have to accept these costs without too much critical scrutiny.
In an interview with Spectre’s Dan Boscov-Ellen, Joshua Frank draws on his recent book Bad Energy: The AI Hucksters, Rogue Lithium Extractors, and Wind Industrialists Who Are Selling Off Our Future (Haymarket 2026) to highlight the dangers of that assumption.
Joshua Frank is the managing editor at CounterPunch. He is an investigative journalist and author of the recent award-winning book Atomic Days: The Untold Story of the Most Toxic Place in America (Haymarket, 2022).
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Thank you for speaking with me again, and congratulations on the publication of your new book Bad Energy. The book is a sobering look at the environmental costs of the transition to renewables that explores those made expendable in the name of combating climate change and pushes us to reckon with the material constraints on any construction of a sustainable postcapitalist future. Challenging the complacent path-dependency of much left energy politics without laying out a detailed blueprint for an alternative makes this a potentially unpopular line of questioning; people may not want to confront the harms involved in the only climate solutions that seem to be on offer, especially when there seems to already be so little to feel hopeful about at the moment. What prompted you to take up this project? And were there things that particularly surprised you as you began your research?
I live in California. I grew up in the West, in Montana. The majority of public lands in this country managed by the Bureau of Land Management are in the West; there are 240-some million acres that are managed by the BLM. And many of these huge so-called green energy projects are being built on these public lands. In California, for instance, a lot of big solar farm projects are popping up in the Mojave Desert. I spend a lot of time in those areas, and I see the impact that they’re having.
On a very personal level, when my wife and I moved into our current house, we adopted an endangered desert tortoise that had been living here. It was probably stolen from the Mojave decades ago, but it’s been living here through three different residents. So we’ve gotten to know this desert tortoise really well. When I started learning about what some of these big energy projects are doing to desert tortoise habitat, I really felt like I needed to tell the story and defend these creatures, which have been out there for millions of years and we’ve put them on the brink of extinction in a hundred years. They’re an indicator species of an ecosystem in crisis.
Of course, it’s not just green energy projects; there’s been mining and grazing and drought and weapons testing and all sorts of things that have happened out there. But right now, this big push for green energy has made things much, much worse. So that was really the first thing that prompted me to think about approaching this project; I felt like I needed to do it in defense of this tortoise that I am a steward of here at home.
Obviously, I support a transition away from fossil fuels. So I’ve supported solar and wind projects. But what I didn’t realize until I started my research for the book is who is behind many of these projects or the scale of the moneyed interests involved. One that I write about in the book is an enormous wind project in Wyoming that is being funded by an oil billionaire. It’s going to be five hundred square miles, and they’re going to build a seven-hundred-plus-mile-long transmission line called the Transwest Express that’s going to transmit that power from Wyoming to California. That was just mind boggling to me.
Wind energy in and of itself is not a bad thing, but a huge wind project like this that is four or five states away seems completely crazy to me. And when I visited the town where that project is being built and I talked to residents there, they feel the same way—that this is just another example of resource exploitation in their state. There are many other examples like that. So I started looking at the nuances of some of these technologies and who benefits from implementing them in one way versus another, which was enlightening to me, and hopefully will be to readers.
One of the themes of the book is that focusing too narrowly on climate change can cause us to overlook other aspects of capitalist ecocide—particularly the biodiversity crisis, which is, as you note, “in many ways as serious as climate change itself.” If you’re an oil billionaire who’s trying to diversify with more of an “all-of-the-above” energy strategy, as the Democrats like to say, then perhaps it makes good sense to frame things narrowly in terms of carbon alone. But some climate activists and sections of the left seem to do the same thing unintentionally. Are there ways to talk about and organize around the climate crisis without separating it from the broader context?
I think one of the traps that we fall into is thinking about the planet in a very binary way when it comes to the climate—a problem that has been made worse by the big green outfits that are almost solely focused on climate change. And of course, this isn’t to say that climate chaos isn’t real. It is. But we can fixate on it at the expense of a lot of other problems that are also happening concurrently: industrial farming and the pollution it causes, habitat loss, all sorts of things. So the first thing we need to do is start looking at planetary health holistically. Once we start to see that all these things are interconnected, and then look for answers to climate change that take the impacts of biodiversity and everything else into consideration, we start looking at the problem differently. When we destroy biodiversity (often in the service of capital accumulation), we’re doing so at the expense of the climate, because those deserts and rainforests act as carbon sinks in many cases, too. We can’t approach the answer to one of these problems at the expense of the other.
You take the same stance here when it comes to the social impacts of energy projects. You note that “more than half of critical mining projects are on or near Indigenous lands,” and throughout the book you cover a number of specific examples where the buildout of renewables is harming Indigenous communities and, in some cases, making their existing ways of life impossible. This focus contrasts with the predominant approach of the social-democratic left in this country, which generally prefers to ignore or downplay such concerns as identitarian and politically inconvenient. Why have you centered them here, and how do they connect to the larger argument of the book?
I think if we’re talking about the fossil fuel industry and the impacts that coal mining or oil production have on people, we don’t have the same kind of conversation. There, everybody on the left would agree we need to oppose these things because they’re polluting resources, they’re poisoning water, they’re destroying communities. Well, then why can’t we use that same framework to analyze so-called green energy projects?
For example, I have done a lot of work with folks in the Navajo Nation working against uranium mining, talking to people that have been impacted by that industry, which is being resurrected under the guise of climate change. One of the things that we need to do when we’re looking at all of these projects is to give it the same attention and criticism that we would to the fossil fuel industry, because many of the impacts on the ground for these communities is very similar.
As you and I have discussed before, I also think that there is a lack of environmental ethic on parts of the left, and definitely a lack of respect for Indigenous cultures and Indigenous lifeways. There is so much we can learn from Indigenous cultures, but we also need to understand that if we’re not approaching where we get our energy in a critical way, it is going to play out like all of the earlier extractive, colonial episodes that have come before. As I detail throughout the book, these mining companies and other interests looking to profit off of the transition are using the same playbook that the fossil fuel industry has used. So we need to be critical in the same way that we would if we were talking about oil and gas production.
Part of that playbook is to frame so-called “nonproductive” uses of the land as “waste.” Even when it’s not explicitly stated, I think there’s often an attitude on parts of the left that sees Indigenous land and water protectors as irrationally obstructing necessary “progress”—a (possibly willful) misunderstanding of the concerns of Indigenous communities as they have been sounding the alarm about the dangers of repeating the same harms under a green banner if we fail to acknowledge and address the underlying causes. And those are not just capitalism and ongoing colonialism but a breakdown of proper relations and an unwillingness to acknowledge our full obligations to all those with whom we are in relation.
Often we are talking about how climate chaos is impacting these communities, but we should be talking about all of the things that are impacting these communities, and the book tries to highlight that.
While we’re talking about some of the ways that this book may push or challenge sections of the left, I wanted to ask about another inconvenient truth that you highlight in the book, which is that of non-Western imperialism. In particular, several prominent ecosocialist thinkers (I have in mind John Bellamy Foster and Jason Hickel, but there are numerous others) seem to have a real blind spot when it comes to the social and environmental harms of Chinese imperialism. Why do you think that is, and how should the left position itself vis-à-vis interimperial rivalries in global supply chains for renewables?
One thing that was very enlightening to me when doing research for the book was learning just how much of these so-called critical mineral resources globally are controlled by China and Chinese-backed companies. Congo is example of this: 80 percent of its copper and cobalt is controlled by Chinese interests. It’s a similar story in many other places in Africa and South America. This includes things like cobalt, copper, and nickel, as well as graphite, lithium, and rare earths. And not only do they control something like 70 percent of the world’s current critical mineral reserves, but they also control 90 percent of their refinement.
Of course, critical minerals are not just used in “green” technologies—they are used in military tech and AI chips and all sorts of things. They are increasingly crucial to the capitalist economic system, and so we have seen these geopolitical tensions arise over them, with Trump aiming to secure access to minerals by strong-arming countries through tariffs and threatening to withhold military aid, and so on.
But the opposition to the United States can mask the on-the-ground reality of Chinese mining, which is no less brutal than that of US-based corporations. When you start digging into it, you see that there is rampant abuse of miners that are many times children working in horrible conditions in toxic places. I have a lot of respect for Jason and John, but I think that it’s naive to see this relationship that China has with some of these places, which generally aren’t seeing the benefit of all this extraction, and to not to see that as a form of economic imperialism.
Of course, it’s not just mining in places like the Congo; China is funding huge so-called green energy projects all over the world. And on the surface, that might seem like a good thing for those places. China is loaning billions to construct well over three hundred huge hydroelectric dam projects in seventy countries under the guise of providing energy and creating jobs. But when you look at the fine print, you see that these loans are all resource-backed loans, which means in many of the cases the funding is tied to giving China access to critical minerals and other resources. So that also is a form of economic imperialism. If the United States or the IMF or the World Bank were doing it, that’s what we’d be calling it, right? And the United States certainly wishes that they had been doing this decades ago, because China is ahead of the game.
I don’t know where the ecosocialist thinkers have lost the narrative on this, but I hope that they can look at the reality on the ground and come to a different conclusion.
Although the book challenges various kinds of complacency that we find on the left, the point is not to argue that all renewable energy is inherently “bad” energy. No energy source is without impacts, but you note that “not all renewable energies are created equal.” For example, you suggest that solar and wind are generally less harmful than nuclear reactors and large dams. You also discuss how different approaches to these technologies can lower their impact (encouraging distributed rooftop solar rather than large solar farms in the Mojave, and so on). Some of this may be context dependent—if you’re in a place that has good wind corridors that are less frequented by migratory birds, maybe it makes sense to put wind there instead of in certain sensitive offshore habitats, for instance. But are there any overarching principles to keep in mind when thinking through our energy options?
I generally think local is better in many ways. Local communities have a better sense of their needs and of what their ecology means to them. I think about an example that I wrote about in the book, which is how these big solar projects in California are rolling out. In investigating that, I came to the conclusion that it is the big utility companies in California that wanted to destroy the rooftop solar program, which was making really great strides here in the state, because it wasn’t profitable to them. They are looking to maximize profits; they’re publicly traded companies, so there’s a fiduciary responsibility for them to provide endless returns on their investments. Rooftop solar was a threat to that; and so Gavin Newsom, who is in the back pocket of these big utilities, destroyed rooftop solar. And what they’ve done instead is to open up enormous swaths—millions and millions of acres—of public lands across the West to develop solar farms, in some cases in very ecological important areas.
So I think understanding that economic dynamic is important, first and foremost, before we even start talking about the nuances of these technologies and what those impacts might be at the local level. You can contrast the placelessness of capital with the people I talked to in the book, including people from a lot of different Native American communities. People, especially in rural communities, have a lot of ideas about what their needs are and how they could be met. There’s an example in the book of a community in Northern California that has very inconsistent energy. Yet there is no guarantee that this massive wind farm that’s being proposed off the coast of Northern California is going to help bring energy to that local community.
Those kind of contradictions, I think, are really important to look at. And this gets into larger questions of democratic decision-making. These communities, in many cases Indigenous communities, are once again being set up as “sacrifice zones,” only now in the name of green energy. Once we recognize that, then it seems clear that they should have a bigger say in what happens on those lands than, say, those who live hundreds of miles away who would enjoy the fruits of their resources.
In terms of what energy strategies we choose, of course it is partly geographically dependent. Obviously in parts of the US West, sun is very plentiful. I don’t really get into geothermal in the book, but in some places geothermal can be very efficient, but that’s not possible everywhere. But I think the main thing to keep in mind is that we can’t simply replace fossil fuels with green energy without interrogating the system itself, which is the capitalist system that promotes the myth of endless growth. That we don’t have endless resources on this planet, and no matter if it’s fossil fuels or green energy, there are limits to what we can take without doing irreparable harm. And the attention to the local helps us to see that, which is part of why thinking local is really important. It might be an oversimplification, but it’s a pretty good one.
I want to come back to the question of democratic decision-making in a moment, but first, can I quickly follow-up about the question of endless growth? You write that expansionism is “the foundation of capitalist ideology…markets (both foreign and domestic) require new territory and resources to grow.” A number of ecosocialist thinkers, from James O’Connor to Jason W. Moore, have argued that the finitude you’re highlighting here is at some point going to become a fatal problem for capitalism itself—that it’s going to run out of new frontiers and it won’t be able to sustain its growth. Renewable energy seems to be part of a new frontier of accumulation; you cite a mining analyst for BNEF arguing that “the energy transition could lead to a super-cycle for the metals and mining industry,” and you look at how capitalists are scouring the planet, including the depths of the ocean, for critical minerals (some now have their eyes set on asteroids, perhaps the true “final frontier”). Could this boom keep capitalism running, despite the harm to the planet?
In the immediate future, capitalism can absolutely run on this strategy of continuing to burn fossil fuels and also expanding overall energy consumption, with renewables being a portion of that. In no way are we seeing renewables push fossil fuels out. I think that’s by intention, that’s by design. I don’t know how long that can go on despite the impacts that it will continue to have on the planet and people, but I suspect that it could still work for a long time.
If we’re talking geological time, yes, capitalism will eventually have to face physics—the reality that this planet has resources and sinks that are finite and at a certain point we will have exhausted them. I think left to its own devices, eventually capitalism will run into a wall that it doesn’t care about driving into, unfortunately. But we can’t wait for that moment to arrive on its own because we all live here, too; we need to come up with a better strategy to slow down, as Kohei Saito would say. To use less resources and try to live more equitably and comfortably. I write in the book that the world does have a population problem, and it’s the growing population of billionaires. Not regular people.
Naomi Klein and Astra Taylor have a new book coming out called End Times Fascism, and I gather that part of the argument is that many of these billionaires recognize that they’re destroying the world, but they think that they can insulate themselves and their progeny from an apocalypse that they themselves are hastening, perhaps intervening technologically where necessary to keep the profits flowing as long as possible (Elon Musk has been talking a lot about the need for geoengineering lately). On that note, one of the interesting sites of resistance today here in the United States at the moment is the growing popular movement against data centers. The companies relying on the AI boom do not want democratic oversight, and many of them are quite happy to embrace fascism—and to create the repressive technologies that enable it—if it allows them to keep profits flowing. In the book, you discuss Musk’s “we’ll coup whoever we want” attitude toward Bolivian lithium, but it’s clear that this applies equally in the imperial core too. Do you see anti-data-center organizing, which concerns the right of communities to have a say over what technological infrastructure is built and for what purposes, as a hopeful model of resistance to the narrative of inevitability the tech giants are promoting (with the help of some ecomodernists)? As it interacts with the climate movement and the fight for a free Palestine and so on, could this kind of popular movement begin to center the concerns raised in Bad Energy more comprehensively, or are there obstacles that would seem to preclude that possibility?
My hope is that people who may not have really analyzed the underlying economic system of climate chaos walk away from reading Bad Energy and begin to question more as they see that capitalism is still running the show. I think data centers is another great example of that; despite the supposedly intangible nature of the cloud, for many communities this is a very tangible thing that capitalism is throwing at us. I see the movement against data centers across this country as perhaps the biggest opening for the left and the environmental movement to fight big tech and this exploitative capitalism that is infiltrating our lives in the form of AI. I think we begin to understand capitalism in a different way when it’s in our own backyard, when big tech is in our own backyard using our resources. There are a lot of things with data centers that people talk about with energy use and water, and those are really important. But another that’s very rarely talked about is how many critical minerals are needed in these data centers. You know, a big data center, for example, uses tens of thousands of pounds of copper, and that equates to more and more mining; mining for copper is exploding because copper is used in every green energy product, in transmission lines and batteries, as well as data centers.
When we fight data centers, we’re really fighting capitalism; we’re fighting a symptom of capitalism. So I’m really hopeful that we can use this movement against data centers as a tool to help educate people about the wrath of capitalism. Poll after poll shows that Americans don’t support data centers, and many polls are also starting to show that people look at socialism as being better than capitalism. So it’s our duty to provide that alternative, and to help connect the dots. But I’m really invigorated by this movement; it’s an exciting cross-section of all sorts of people, and if we are going to save this planet, we need that kind of mobilization to do it.
I agree, which makes it all the more baffling when ecosocialists like Matt Huber and Holly Buck come out against the anti-data-center protests as being somehow naïve or misinformed, arguing that what we really need is a socialist version of AI development. It seems not just ecologically wrongheaded, but incredibly politically short-sighted not to see the opening in this genuinely grassroots popular resistance to help advance a mass socialist politics based in local democratic decision-making about energy and growth. On that note, I have one final question for you. A central theme throughout the book is the importance of making informed decisions about the relative benefits and harms of various energy sources, and that leaving these decisions to capitalists is a recipe for disaster. Yet even democratic decision-making may fail to adequately register the interests of the nonhuman world and future generations when faced with the exigencies of present poverty (often the legacy of racialized and colonial exploitation). For example, as you detail in the book, some Indigenous communities are split on whether to support mining or infrastructure projects that could bring even temporary income. This pressure can understandably override concern for nonhuman beings and future generations. You mentioned earlier that you started this project in part because you felt a responsibility to speak for the desert tortoise you adopted (and to whose species this book is dedicated) because it can’t represent itself. Do you have any thoughts about how the interests of those who cannot speak for themselves, but who have a great deal at stake in these decisions, could be more consistently integrated into left energy politics?
To harken back to our discussion of Musk a moment ago, some of these billionaires do consider themselves to be environmentalists. The discourse of environmentalism isn’t exclusive to the left, and it can be a very slippery slope into ecofascism as resources are scarcer, things get worse, and capitalism continues to wreak havoc. So I think it is very important to challenge that through democratic processes, and to pull everybody into the conversation. The more people that are part of the conversation, the less chance there is of slipping into a sort of ecofascist hellscape.
It’s true that people often think first about the needs most pressing for them and their communities, and it’s easy not to connect that to the larger picture. It’s easy to be totally disconnected from the farmers that grow your food, or the people that assemble your iPhones, or the mines where the copper in your electric vehicle engine came from. Being more democratic about that process is inherently anticapitalist, because capitalism doesn’t want us to think about any of that: it doesn’t want us to be connected to the people that supply these things to us and the wreckage that is left behind. So I think part of our job as activists and as writers and as academics and people on the left is to bring those conversations forward for people. If we can do that, I think that we will ultimately have a bigger and deeper conversation about what’s really going on and what’s really at stake. And I think that we can together develop a better approach to this problem that we face.
Josh, thank you again for taking the time to speak with me. I hope people will pick up Bad Energy; I think it’s mandatory reading for those who want to understand the constraints within which we’ll need to operate as we try to envision, and ultimately to build, a more sane and livable future.
Original article: www.counterpunch.org
Europe’s “strategic autonomy” is a project through which Europe is rebuilding its own imperial and militarist capabilities.
Contact us: info@strategic-culture.su
We remember Nokia as the company behind some of the most popular mobile phones of the past, as well as its famous slogan, “Connecting people.”
Founded in Finland in 1865 and now operating as a multinational company in telecommunications and information technology, Nokia continues to work in the field of communications – that is, to “connect people.” But with its latest project, it appears that the company is now preparing to connect people in uniform.
Nokia has teamed up with ICEYE, another Finnish company specializing in the production of microsatellites that provide high-resolution Earth observation data day and night and in all weather conditions.
The two companies have partnered to develop secure and sovereign satellite communications systems for governments and defense customers, with the first communications satellites planned for launch in 2028.
Defense, border security, emergency response…
Announced on October 1, the project envisages satellite systems operating in low Earth orbit (LEO) for use in areas including defense, border security, emergency services and disaster response.
Under the project, governments will be able to own and control not only the satellites themselves, but also the ground infrastructure and user terminals.
Rafal Modrzewski, co-founder and CEO of ICEYE, said countries should not leave control over their communications infrastructure in the hands of foreign commercial satellite operators, emphasizing that the project is ultimately aimed at reducing external dependence.
As part of the partnership, Nokia will contribute its expertise in secure networking technologies and network management, while ICEYE will provide its experience in satellite platforms, satellite constellation operations and ground infrastructure.
The cooperation between Nokia and ICEYE is not entirely new. Nokia was among the companies that participated in an investment round announced by ICEYE in June 2026, through which the company secured more than €1 billion in financing.
First satellites planned for 2028
The first satellites are scheduled to be launched in 2028. If the project is implemented, ICEYE will expand its activities in government-controlled satellite intelligence into the communications sector, while Nokia will strengthen its presence in Europe’s rapidly growing defense and space communications market.
Europe’s “strategic autonomy”: the militarization of civilian technology
The new partnership between Nokia and ICEYE is a striking example of where the concepts of “strategic autonomy” and “technological sovereignty,” which Europe has increasingly embraced in recent years, are actually heading.
The satellite communications systems being developed by the two Finnish companies may initially appear to be nothing more than a technological investment. Yet the companies themselves explicitly list defense, border security and government operations among the project’s intended areas of use. With the first satellites planned for launch in 2028, the system is also designed to remain under government control, including its satellites, ground stations and terminals.
What is significant here is not simply that two companies are entering the defense sector. The boundary between civilian and military technology is increasingly disappearing in Europe.
Companies operating in telecommunications, artificial intelligence, satellite technology, data analysis and digital infrastructure are being turned into direct components of European states’ rearmament and security policies.
This transformation is being marketed under the rhetoric of “European independence.” Yet what is emerging is not a Europe moving away from militarism. On the contrary, Europe is building its own militarized infrastructure.
Reducing dependence on the U.S. does not eliminate militarism
Europe’s basic argument is that it should not remain dependent on U.S.-based companies for its security and communications infrastructure. That is why European states are seeking to develop their own satellite systems, defense technologies and secure communications networks.
But there is a serious contradiction here.
The infrastructure being developed to reduce dependence on U.S. companies is being used to expand the military capabilities of European states. In other words, the question of “militarism or peace?” is being reduced to a choice between “American militarism or European militarism.”
The EU’s IRIS² program is a larger-scale example of this transformation. Although the system was initially presented as a secure communications and digital infrastructure project, the program was expanded in August 2026 to include 66 additional LEO satellites for defense, security and emergency services, bringing the total planned core constellation to 348 satellites. The European Commission has also explicitly identified defense and security applications as among the main drivers behind the changes.
What we are therefore witnessing is not simply a European space program designed to “improve internet access.” Space infrastructure is being transformed into a component of Europe’s security and defense architecture.
Companies are becoming part of the war economy
More importantly, this transformation is not taking place solely through state institutions.
The European model places private companies at the center of this process. As in the case of Nokia and ICEYE, private technology companies are developing infrastructure designed to meet the defense and security needs of governments. Public-private partnerships are also at the heart of the IRIS² model.
The program’s total cost over 12 years has been set at €10.6 billion, with €6 billion expected to be provided by the EU and more than €4 billion by the private sector.
Thus, the expansion of Europe’s “defense capacity” does not simply mean larger state budgets. Private capital is becoming a direct partner in Europe’s emerging security economy.
This transformation is also changing the fields in which technology companies operate. Technologies once associated primarily with consumer communications, the internet, software or civilian infrastructure are now becoming integrated into border surveillance, military communications, intelligence and crisis-management systems.
This is not the neutralization of Europe’s technology sector. It is its militarization.
The technological infrastructure of “Fortress Europe”
All of these developments cannot be considered separately from the increasingly powerful concept of “Fortress Europe.”
Tighter border controls, the treatment of migration as a security issue, increased military spending and the expansion of Europe’s own defense industry are different components of the same political direction.
Satellite technology is no exception. Indeed, border surveillance is explicitly listed among the intended uses of IRIS² in EU documents.
In this way, seemingly positive concepts such as “digital sovereignty,” “technological independence” and “strategic autonomy” are, in practice, becoming technological instruments for building a stronger European security apparatus.
The fundamental issue here is not that Europe is reducing its dependence on the United States. There is nothing inherently wrong with any country developing its own technological capabilities. The question is what those capabilities are being developed for.
If the result of technological independence is more military satellites, more sophisticated border surveillance systems, stronger military communications networks and larger defense budgets, then what is being created is not simply independence. It is the expansion of the militarist capacity of European states and European capital.
From this perspective, the Nokia-ICEYE agreement represents more than a technological partnership.
As Europe seeks to create an alternative to the United States’ military and technological dominance, it is simultaneously building its own military-technological complex.
And perhaps the most important feature of this process is that the war economy is no longer built solely in arms factories.
Telecommunications companies, satellite companies, artificial intelligence firms and other high-tech corporations are becoming increasingly important actors in this economy.
Europe’s “strategic autonomy” therefore cannot be understood merely as a project to become independent from Washington. It is also a project through which Europe is rebuilding its own imperial and militarist capabilities.
The parent company of agentic AI specialist Manus secured more than $500 million in a funding round conducted a little more than a month after it resumed independent operations following the unwinding of an acquisition by Meta Platforms.
Butterfly Effect, which developed the AI company, did not reveal how it plans to use the money or a valuation.
However, Bloomberg reported last month a potential $500 million raise would give it a valuation of around $4 billion, double the sum Meta Platforms paid for the company in an agreement struck in December 2025, before the deal was cancelled on orders from the Chinese government.
Existing investors Tencent, HSG and ZhenFund were involved in the funding round, along with Boyu Capital and IDG Capital.
Investment rules
Manus formally resumed independent operations in September after China’s National Development and Reform Commission told all parties to cancel the deal with Meta Platforms, following an investigation which cited concerns over foreign investment rules.
Manus’ founding investors then moved to buy the company back at the same $2 billion valuation.
China’s concerns related to the fact Butterfly Effect was founded in the country in 2022 but moved its corporate base to Singapore in 2025.
The post AI start-up Manus raises $500M after Meta split appeared first on Mobile World Live.
Why did the machines suffer a kind of breakdown, if they had been rigorously tested?
Contact us: info@strategic-culture.su
The counting of votes in the first round of Brazil’s general elections was the subject of great controversy. Flávio Bolsonaro, son of former president Jair Bolsonaro, was ahead of Lula in the official count, with 49.6%, against 42.2% for the president seeking re-election.
64.8% of the polling stations had been tallied up to that point. But the count was halted for more than an hour. Strangely, the votes for governor, senator and deputies continued to be counted normally. Only the presidential count was halted.
And, even more strangely, when the presidential count resumed, Flávio Bolsonaro’s upward trend and Lula’s downward trend were reversed. The opposition candidate’s votes plummeted, while those of the current president rose. Flávio Bolsonaro was less than 0.5% away from the victory that would hand him the presidential sash. He lost more than 2%, ending with 47.03%, while Lula gained almost 3%, ending with 45.16%.
It seemed that Flávio Bolsonaro would dethrone Lula right in the first round. But, after more than an hour of halted counting, Lula managed to recover and the race will only be decided in the second round.
The count was halted at 7:06 p.m. (Brasília time), with 64.8% of the ballots tallied. Only at 8:08 p.m. were the new results presented, already with 84.96% of the ballots tallied.
The official justification was given by the president of the Superior Electoral Court (TSE), Kassio Nunes Marques, who is also a justice on the Supreme Federal Court (STF). “What happened was a data congestion. In every election, we are surprised by some incident, which is natural for those who deal with complex and highly varied systems,” he said. “At first, it is not known whether this was derived from another problem. What our IT found was a flow [of data] above the normal level, and that congestion caused a delay,” he added.
There is an aggressive propaganda campaign in Brazil, spearheaded by the Electoral Justice, to convince citizens that elections are 100% clean. The main focus of this propaganda is precisely the electronic voting machines. Judicial institutions and media outlets give wide dissemination to the Electoral Justice’s claims about the total reliability of the electronic voting machines, even highlighting that they are tested before the election and then sealed so that no one can access them.
So why did the machines suffer a kind of breakdown, if they had been rigorously tested? Well, the oh-so-wise TSE has full knowledge of the number of eligible voters and of the number of votes that can be recorded in the machines, including in each polling station. The Electoral Justice’s propaganda tells the public that the machines are fully prepared in advance to record and tally voters’ votes perfectly.
No flow of data “above the normal level” that would lead to system congestion should occur, because the most varied data and statistics regarding vote recording are known and the calculations are perfectly feasible. The infallibility of the electronic voting machines requires that all possible outcomes be predictable and that, therefore, there be no anomaly whatsoever.
So how is it possible, then, that such a perfect system – as it is portrayed by the institutions of the Brazilian State – suffers a failure which, once supposedly resolved, so radically changed the trend of the presidential votes?
It may be a coincidence that Flávio Bolsonaro plummeted and Lula rose after the voting machines failed. But who knows? The TSE president acknowledged that the electronic voting system is “complex.” Only highly qualified specialists, from the TSE itself and from technology companies, can access it and understand it, according to the Electoral Justice. Thus, the fate of an entire country for the next four years rests in the hands of these specialists – 150 technicians unknown to the public. The tally of votes from the machines is fully automated; it passes through no human being. An even more select number of 22 employees access the automated vote totalization.
This means that 214 million Brazilians need to trust those 150 or 22 Egyptian priests to interpret that occult science. They must be the most enlightened beings on planet Earth – 100% honest, upright, immaculate and virginal. Even the STF justices, who over the past 15 years have been presented as impeccable, virtuous and chaste individuals, now appear embroiled in the biggest corruption scandal in Brazil’s recent history, yet those anonymous specialists deserve citizens’ most absolute trust.
It was for reasons such as these that the Supreme Court of Germany declared electronic voting unconstitutional: “every citizen must be able to understand and verify the central stages of elections in a reliable manner and without any prior specialized technical knowledge.”
The verdict, dated 2009, concludes:
“An electoral procedure in which the voter cannot reliably understand whether his or her vote was recorded in an unfalsifiable manner and included in the tally of the election result, and how the total of votes cast is assigned and counted, excludes central elements of the electoral procedure from public scrutiny and therefore fails to meet constitutional requirements.”
The Brazilian judicial system is mired in its greatest crisis in history and is living through a true Wild West, with partisan feuds interfering in the functioning of its work. Partisanship, in fact, has contaminated most of the judiciary, including the TSE. In the final stretch of these elections, decisions by the Electoral Justice, backed by the dominant wing of the STF, favored Lula.
It is evident that this dominant wing (represented by justices Alexandre de Moraes, Gilmar Mendes and Flávio Dino) does not want a victory of Bolsonarismo, for it is their declared political enemy. These justices have acted, in recent years, as true vigilantes against Bolsonarismo. Now that they themselves have been caught in extremely promiscuous dealings with a banker who corrupted countless high-ranking state officials, their bureaucratic careers are threatened. Lula’s continuity is a hope of salvation for these gentlemen, for the president is beholden to them and cannot break that commitment without risking his own neck, given the level of dependence Lula has contracted toward the STF’s top brass. Meanwhile, a Flávio Bolsonaro victory would tend to lead to a clash with the heads of these institutions – although the opposition candidate himself has shown little willingness to confront them, because those who control elections in Brazil (international financial capital) demand moderation and pacification, otherwise they will make life difficult for anyone elected president.
And the people are treated like cattle, victims of a system they cannot understand, so that their exploitation may be perpetuated through the staging of the “festival of democracy.”
La paralización del recuento en Brasil revirtió la tendencia y salvó a Lula: las urnas electrónicas, opacas e inauditables, no son confiables.
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El escrutinio de los votos en la primera vuelta de las elecciones generales en Brasil fue motivo de gran controversia. Flávio Bolsonaro, hijo del expresidente Jair Bolsonaro, iba por delante de Lula en el recuento oficial, con un 49,6% contra un 42,2% para el presidente que busca su reelección.
Habían sido computadas el 64,8% de las secciones electorales hasta ese momento. Pero el recuento se paralizó por más de una hora. Extrañamente, los votos para gobernador, senador y diputados continuaron siendo contabilizados con normalidad. Solo el recuento presidencial se paralizó.
Y, aún más extrañamente, cuando el recuento presidencial se reanudó, la tendencia ascendente de Flávio Bolsonaro y la tendencia descendente de Lula se revirtieron. Los votos del candidato opositor cayeron, mientras que los del actual presidente aumentaron. Flávio Bolsonaro estaba a menos del 0,5% de la victoria que le otorgaría la banda presidencial. Perdió más de un 2%, terminando con un 47,03%, mientras que Lula ganó casi un 3%, terminando con un 45,16%.
Parecía que Flávio Bolsonaro destronaría a Lula ya en la primera vuelta. Pero, tras más de una hora de paralización en los recuentos, Lula logró recuperarse y la disputa se decidirá recién en la segunda vuelta.
El recuento se paralizó a las 19h06 (hora de Brasilia), con el 64,8% de las urnas escrutadas. Recién a las 20h08 se presentaron los nuevos resultados, ya con el 85% de las urnas escrutadas.
La justificación oficial fue dada por el presidente del Tribunal Superior Electoral (TSE), Kassio Nunes Marques, quien también es ministro del Supremo Tribunal Federal (STF). «Lo que ocurrió fue una congestión de datos. En cada elección, nos vemos sorprendidos por alguna contingencia, lo cual es natural para quien lida con sistemas complejos y tan variados», dijo. «A priori, no se sabe si esto fue derivado de otro problema. Lo que nuestra tecnología de la información constató fue un flujo [de datos] superior a lo normal, y esa congestión generó un atraso», completó.
Existe una propaganda violenta en Brasil, encabezada por la Justicia Electoral, para presentar a los ciudadanos que las elecciones son 100% limpias. El principal foco de esa propaganda son justamente las urnas electrónicas. Las instituciones judiciales y los medios de comunicación dan gran difusión a las palabras de la Justicia Electoral sobre la total confiabilidad de las urnas electrónicas, destacando, incluso, que son sometidas a pruebas antes del plebiscito y luego selladas para que nadie pueda acceder a ellas.
Entonces, ¿por qué las urnas sufrieron una especie de pánico, si habían sido rigurosamente examinadas? Pues, el sapientísimo TSE tiene pleno conocimiento del número de electores aptos para votar y del número de votos que pueden ser registrados en las urnas, incluso en cada sección electoral. La propaganda de la Justicia Electoral indica al público que las urnas están plenamente preparadas con anticipación para registrar y computar perfectamente los votos de los electores.
No debería ocurrir ningún flujo de datos «superior a lo normal» que llevara a la congestión del sistema, porque los datos y estadísticas más variados en relación con el registro de votos son conocidos y los cálculos son perfectamente realizables. La infalibilidad de las urnas electrónicas exige que todos los resultados posibles sean previsibles y que, por tanto, no haya ninguna anomalía.
¿Cómo es posible, entonces, que un sistema tan perfecto, como es el propagado por las instituciones del Estado brasileño, presente una falla que, después de ser supuestamente resuelta, haya modificado tan radicalmente la tendencia de los votos presidenciales?
Puede ser una coincidencia que Flávio Bolsonaro se haya desplomado y Lula haya subido después de la falla de las urnas. Pero, ¿quién sabe? El presidente del TSE reconoció que el sistema electrónico de votación es «complejo». Solo especialistas altamente capacitados, del propio TSE y de empresas de tecnología, consiguen acceder a él y comprenderlo, de acuerdo con la Justicia Electoral. Así pues, está en manos de esos especialistas —que son 150 técnicos desconocidos del público— el destino de un país entero para los próximos cuatro años. El cálculo de los votos que salen de las urnas es totalmente automatizado, no pasa por ningún ser humano. Un número aún más selecto de 22 funcionarios accede a la totalización automatizada de los votos.
Esto significa que 214 millones de brasileños necesitan confiar en esos 150 o 22 sacerdotes egipcios para interpretar esa ciencia oculta. Deben ser los seres más iluminados del planeta Tierra, 100% íntegros, honestos, inmaculados y vírgenes. Incluso los ministros del STF, presentados a lo largo de los últimos 15 años como individuos impecables, probos y castos, aparecen ahora envueltos en el mayor escándalo de corrupción de la historia reciente de Brasil, pero esos especialistas anónimos merecen la más absoluta confianza de los ciudadanos.
Fue por motivos así que la Corte Suprema de Alemania declaró el voto electrónico inconstitucional: «cada ciudadano debe ser capaz de comprender y verificar las etapas centrales de las elecciones de forma confiable y sin ningún conocimiento técnico previo especializado».
El veredicto, fechado en 2009, concluye:
«Un procedimiento electoral en el que el elector no pueda comprender, de manera confiable, si su voto fue registrado de forma infalsificable e incluido en el escrutinio del resultado de la elección, y cómo el total de los votos expresados es atribuido y computado, excluye elementos centrales del procedimiento electoral de la vigilancia pública y, por tanto, no cumple los requisitos constitucionales.»
El sistema judicial brasileño está sumido en su mayor crisis histórica y vive un verdadero western, con peleas partidistas interfiriendo en el funcionamiento de los trabajos. El partidismo, de hecho, contaminó a la mayor parte del poder judicial, incluido el TSE. En la recta final de estas elecciones, decisiones de la Justicia Electoral, apoyadas por el ala dominante en el STF, favorecieron a Lula.
Es evidente que esa ala dominante (representada por los ministros Alexandre de Moraes, Gilmar Mendes y Flávio Dino) no quiere la victoria del bolsonarismo, pues este es su enemigo político declarado. Esos ministros actuaron, en los últimos años, como verdaderos justicieros contra el bolsonarismo. Ahora que ellos mismos fueron sorprendidos en relaciones extremamente promiscuas con un banquero que corrompió a incontables altos funcionarios del Estado, su carrera burocrática está amenazada. La continuidad de Lula es una esperanza de salvación para estos señores, pues el presidente está comprometido con ellos y no puede romper ese compromiso sin arriesgar la propia cabeza, dado el nivel de dependencia que Lula contrajo en relación con los mandamases del STF. Ya una elección de Flávio Bolsonaro tendería a conducir a un choque con los cabezas de esas instituciones, aunque el propio candidato opositor no ha demostrado gran disposición a enfrentarlos, porque los que controlan las elecciones en Brasil (el capital financiero internacional) exigen moderación y pacificación; de lo contrario, dificultarán la vida de cualquiera que se elija presidente.
Y el pueblo es tratado como ganado, víctima de un sistema que no puede comprender, para perpetuar su explotación a través de la escenificación de la «fiesta de la democracia».
Contact us: info@strategic-culture.su
In the first half of 2026, UK AI companies raised €12.6 billion, which is more than the rest of the European Union combined. If the UK were to re-enter the EU, as Prime Minister Andy Burnham suggested last week, it would join a regulatory regime that makes a large part of those investments obsolete.
AI was one of the rare Brexit success stories, precisely because the UK chose regulatory divergence. After Brexit, the EU embarked on a frenzy of tech regulation: on AI, crypto, digital services and digital markets. The UK pursued a softer regulatory approach in all of these sectors, especially AI. On re-entry, the country would have to accept the EU’s AI regulation lock, stock and barrel, in what is known as the acquis communautaire. This is not a negotiation between UK regulation and that of Brussels. There may be transitional periods, but any new entrant has to adopt the entirety of the EU regulatory framework.
Continental Europe’s AI ventures have been mostly disappointing. Companies such as Germany’s Aleph Alpha and France’s Mistral started out with the ambition to produce frontier models and challenge global market leaders. Both are still around, albeit with reduced ambitions. They are now focused on implementation, with Mistral the more successful of the two, having raised some $3 billion in a funding round earlier this month. Still, this pales in comparison to the US, whose AI industry has invested over $500 billion so far this year.
The European commentariat has been insisting for some time now that the global AI investment boom will hit a wall, in doing so underestimating the technology’s economic significance and overestimating its dangers. These journalists share a lack of interest in a capital markets union as a precondition for making large AI investments possible. If AI succeeds, Europe will not partake fully.
In a parallel universe, there might be a situation where the EU, under more strategic leadership, would regard a Brexit reversal as an opportunity to accomplish two tasks at once. These would involve building an EU-wide capital market on top of the UK’s financial sector, and piggy-backing on Britain’s more successful regulatory regime for AI, quietly dropping its own AI Act in the process.
This is unlikely to happen, with a more probable outcome being that AI emerges as an unexpected obstacle during re-entry negotiations, as tech companies warn the UK Government that their investments are at risk in a more restrictive regulatory environment. Britain, in turn, would be shocked to find out that the EU is not ready to accept its regulatory regime as the more successful one.
If the issue of Britain rejoining the EU came up today, Rejoiners would no doubt argue that the benefits of the single market outweigh the costs of losing an edge in AI. A snapshot of current economic activity might go some way towards vindicating this assessment. But in three or four years’ time, the situation will be quite different. In any case, it is never a good idea to base economic judgements on snapshots. The dynamic interactions are far more important.
This story ties in with speculation around a coming financial crisis. The rise in US bond yields this week reflects worries about future inflation and interest rates. What weighs against this negative sentiment is the hope of a positive productivity shock due to AI. An EU that does not invest in AI will not benefit from higher productivity, but will suffer the consequences of a global sovereign debt crisis. One need only remember how the global financial crisis, which had its origins in the US mortgage market, ended up almost killing the EU’s monetary union. Static Rejoiner thinking could have very serious consequences indeed.
Original article: unherd.com

On Thursday, October 1, health workers, patients, and activists protested Palantir’s role in the National Health Service (NHS) at more than 40 locations across England. Their demonstrations were part of a global week of action demanding that governments cut ties with the spy-tech firm over human rights and privacy concerns.
Rallies took place in front of Palantir’s London headquarters, as well as in Liverpool, Manchester, Newcastle, Sheffield and many more cities.
“Palantir’s tools are used by the Israeli military in Gaza and by ICE to track and surveil migrants in the US,” campaign groups – including Just Treatment, Health Workers for a Free Palestine, Medact, and Global Justice Now – stated. “A company profiting from human rights violations has no place in the NHS or in any of our public services.”
Palantir currently holds a £330 million (approximately USD 436 million) NHS contract and has rolled out the service’s Federated Data Platform (FDP), managing sensitive patient data. The project has drawn criticism from virtually every group involved in the NHS: data workers say it lags behind local systems; patients share privacy and data ownership fears; and health workers insist Palantir’s record opposes the very values their profession embodies.
“I cannot stay true to that [Hippocratic] oath and tolerate Palantir continuing to profit from, and grow its malign business model through an NHS contract,” said physician Rhiannon Osborne from Medact at Thursday’s rally. “Every pound we give them helps to legitimize and sustain human rights abuses and erosion of democratic rule of law across the world.”
A central concern is the company’s support for Israel throughout the genocide in Gaza. “When we strive to save every possible life, they champion their ability to kill and celebrate their role in the repeated war crimes committed by Israel – including unprecedented deliberate attacks on the doctors, nurses, and paramedics I worked with,” pediatric neurologist Omar Abdel-Mannan stated. “No moral government should tolerate their involvement in our NHS or indeed any of our public services.”
Campaigners repeated calls for Prime Minister Andy Burnham to end the contract as soon as possible. Under an exit clause in the original agreement, that moment could arrive as early as February 2027. Campaigners and several commissions are pressing the government to notify Palantir of its intention to withdraw ahead of this date.
“The government only has two months to say no to Palantir and the momentum is all with us,” Good Law Project activists said at the rally in London. “All the energy is to say no to Palantir, say no to their global human rights abuses, say no to their crap technology that doesn’t work and get Palantir out of the NHS.”
Calls to break Palantir’s grip on public services resonate beyond Britain. On September 28, more than 120 groups and unions called upon European governments and the European Commission to “scrap all existing public sector contracts with the US tech company Palantir.” As reported by the European Federation of Public Service Unions (EPSU), the appeal seeks to end current agreements and bar the firm from future public contracts. It also urges governments to develop “alternative data solutions compatible with public service,” echoing NHS data workers’ recommendations.
“Palantir’s ramping up of ‘war-related’ support for Israel during the genocide in Gaza and the apparent disdain of its leadership for democracy are just two clear signs that this company serves the interests of the rich and powerful, not the general public,” said Tim Bierley of Global Justice Now. “Yet it has been allowed to embed dubious technologies across our public services, giving it access to sensitive data and creating worrying new technical dependencies.”
“The UK must work with other countries to end dependence on companies involved in human rights abuses, and end the outsourcing of the public sphere to a dangerous class of big tech oligarchs.”
People’s Health Dispatch is a monthly bulletin published by the People’s Health Movement and Peoples Dispatch. For more articles and subscription to People’s Health Dispatch, click here.
La possibile autorizzazione cinese all’acquisto delle nuove GPU NVIDIA RTX PRO 5500 rivela le contraddizioni della competizione tecnologica globale: Washington limita l’accesso ai semiconduttori avanzati, mentre Pechino combina autosufficienza nazionale e acquisizione selettiva di tecnologie straniere.
La competizione tecnologica tra Stati Uniti e Cina non riguarda più soltanto i grandi acceleratori installati nei giganteschi data center dedicati all’addestramento dei modelli di intelligenza artificiale. Il confronto si sta infatti estendendo a una categoria solo apparentemente meno strategica: le GPU professionali destinate alle workstation, alle simulazioni industriali, alla ricerca scientifica, alla produzione audiovisiva e all’esecuzione locale di modelli linguistici. Infatti, la recente comparsa della NVIDIA RTX PRO 5500 basata sull’architettura Blackwell mostra quanto sia ormai difficile tracciare una linea netta tra una scheda grafica professionale e una componente dell’infrastruttura geopolitica dell’intelligenza artificiale.
Proprio in questi giorni, il governo cinese starebbe valutando la possibilità di autorizzare alcune grandi imprese nazionali, tra cui Alibaba e ByteDance, ad acquistare la nuova RTX PRO 5500. Secondo fonti internazionali, il Ministero dell’Industria e delle Tecnologie dell’Informazione avrebbe chiesto alle società interessate di indicare il numero di unità richieste e gli impieghi previsti. Allo stesso tempo, va ricordato che, negli ultimi anni, la Repubblica Popolare Cinese ha intensificato la sostituzione delle tecnologie straniere nelle infrastrutture pubbliche e nei settori considerati strategici. L’eventuale autorizzazione non rappresenterebbe quindi un abbandono della politica di autosufficienza, bensì l’applicazione di una strategia più flessibile: sostenere lo sviluppo delle alternative nazionali e, contemporaneamente, acquisire prodotti stranieri quando questi possono soddisfare esigenze immediate che l’industria interna non riesce ancora a coprire completamente.
La RTX PRO 5500, del resto, non è una normale scheda destinata al gaming. Secondo le specifiche preliminari, NVIDIA la presenta come una GPU professionale costruita sull’architettura Blackwell, dotata di 84 gigabyte di memoria GDDR7 con codice di correzione degli errori, una larghezza di banda di 1.398 gigabyte al secondo e un consumo massimo dichiarato di 600 watt. La scheda è progettata anche per l’installazione in workstation montate su rack, che possono essere centralizzate, condivise e integrate nelle infrastrutture aziendali. NVIDIA ne indica l’utilizzo per l’inferenza di grandi modelli linguistici, l’intelligenza artificiale generativa, gli agenti autonomi, la visione artificiale, il calcolo scientifico, la simulazione industriale e la produzione video.
Proprio queste caratteristiche rendono politicamente ambigua la categoria della workstation. Una singola RTX PRO 5500 può infatti essere utilizzata da un progettista, da un ricercatore universitario o da uno studio cinematografico, ma può anche essere collocata in un sistema centralizzato e suddivisa in istanze isolate per servire più utenti. Non possiede necessariamente le medesime capacità di interconnessione e di addestramento su larga scala degli acceleratori più avanzati destinati ai grandi data center, ma non può più neppure essere considerata soltanto una periferica grafica.
L’evoluzione dell’intelligenza artificiale ha infatti ridotto la distanza tra le diverse categorie di processori. Addestramento, inferenza, simulazione e produzione di dati sintetici si sovrappongono sempre più frequentemente: una GPU professionale dotata di una quantità elevata di memoria può ospitare localmente modelli che in precedenza richiedevano infrastrutture remote; può inoltre essere impiegata per progettare robot, simulare impianti produttivi, sviluppare gemelli digitali industriali o elaborare informazioni sensibili senza trasferirle sul cloud. La capacità di svolgere localmente questi compiti ha conseguenze non soltanto economiche, ma anche militari, industriali e scientifiche.
Facendo un passo indietro, a partire dal 2022, Washington ha progressivamente limitato la vendita alla Cina dei processori più avanzati e degli strumenti necessari per produrli. La giustificazione ufficiale fa riferimento alla sicurezza nazionale e alla possibilità che le tecnologie per l’intelligenza artificiale vengano impiegate per scopi militari. Tuttavia, l’ampliamento continuo delle restrizioni mostra come l’obiettivo statunitense non sia limitato a impedire la fornitura di singoli sistemi d’arma, ma riguardi più generalmente la capacità cinese di sviluppare infrastrutture di calcolo competitivo.
La politica statunitense non segue, tuttavia, una linea completamente uniforme. Nel gennaio 2026, il Bureau of Industry and Security del Dipartimento del Commercio ha introdotto la possibilità di esaminare caso per caso le richieste di licenza relative alla vendita in Cina di processori come NVIDIA H200 e AMD MI325X, purché vengano rispettate determinate condizioni di sicurezza. Nel maggio successivo, lo stesso organismo ha ribadito che le restrizioni sui dispositivi più avanzati possono applicarsi anche alle società controllate da gruppi cinesi e registrate in Paesi terzi.
Washington cerca dunque di conciliare due esigenze potenzialmente contraddittorie. Da una parte intende rallentare lo sviluppo cinese nei settori considerati strategici; dall’altra vuole evitare che la completa esclusione delle imprese statunitensi dal mercato cinese favorisca definitivamente i produttori locali. Una politica di interdizione assoluta, infatti, potrebbe ridurre nel breve periodo la disponibilità di processori avanzati in Cina, ma priverebbe NVIDIA e le altre imprese statunitensi di ricavi, rapporti commerciali e capacità di condizionare gli standard tecnologici utilizzati nel più grande mercato industriale del mondo.
La produzione di versioni modificate per rispettare i limiti normativi rappresenta il tentativo delle imprese statunitensi di muoversi all’interno di questa contraddizione. Le caratteristiche dei processori, dunque, non vengono più determinate soltanto dalla domanda commerciale o dalle possibilità dell’ingegneria, ma anche dalle soglie fissate dai regolatori. Potenza di calcolo, velocità di interconnessione e larghezza di banda della memoria diventano così variabili geopolitiche. La normativa contribuisce indirettamente alla progettazione dell’hardware, mentre le imprese cercano di collocare nuovi prodotti appena al di sotto dei parametri che farebbero scattare l’obbligo di licenza o il divieto di esportazione.
Secondo le informazioni finora disponibili, alcuni dirigenti del settore ritengono che la RTX PRO 5500 potrebbe non rientrare nelle restrizioni statunitensi attualmente applicate ai processori più avanzati. Inoltre, la possibilità giuridica di esportare il prodotto non garantisce automaticamente la sua accettazione sul mercato cinese. La stessa NVIDIA, infatti, ha osservato che le imprese statunitensi si trovano oggi strette tra quelli che un suo portavoce ha definito controlli statunitensi «obsoleti» e le limitazioni adottate dalla stessa Cina sull’impiego di tecnologie straniere.
Dal punto di vista cinese, autorizzare acquisti selettivi da NVIDIA non significherebbe rinunciare all’indipendenza tecnologica. La strategia di Pechino, del resto, si sviluppa su una scala temporale diversa da quella delle esigenze commerciali delle singole imprese. Alibaba, ByteDance e altri gruppi necessitano immediatamente di capacità di calcolo per competere nel settore dell’intelligenza artificiale; lo sviluppo di una filiera nazionale completa richiede invece investimenti pluriennali nella progettazione, nella produzione, nelle memorie, nei sistemi di interconnessione e soprattutto nel software. Si tratta, dunque, di due obiettivi complementari.
Il vantaggio di NVIDIA, infatti, non risiede esclusivamente nelle prestazioni dei suoi processori. Intorno alle GPU dell’impresa statunitense si è formato un vasto ecosistema basato su CUDA, sulle librerie specializzate e sugli strumenti utilizzati da ricercatori e sviluppatori. Sostituire una scheda significa quindi spesso modificare programmi, procedure di lavoro, competenze professionali e intere infrastrutture. È una forma di dipendenza meno visibile rispetto alla disponibilità materiale dei semiconduttori, ma altrettanto importante.
La Cina sta cercando di rispondere anche a questa dimensione del problema. Huawei, in particolare, sta sviluppando l’ecosistema Ascend e punta a compensare le difficoltà nella produzione dei singoli processori attraverso l’integrazione di numerose unità in sistemi di grandi dimensioni. Nel settembre 2026 l’impresa ha presentato nuove architetture basate su SuperPoD e SuperCluster, sottolineando il ruolo dell’interconnessione, della memoria condivisa e dell’integrazione tra processori, reti e sistemi di gestione.
Anche Alibaba sta seguendo una strada parallela. Nel corso della conferenza Apsara del settembre 2026, il gruppo ha presentato il processore Zhenwu V900 come parte di una strategia che comprende modelli, infrastrutture cloud, processori e strumenti per gli sviluppatori. L’obiettivo non consiste più soltanto nel produrre un sostituto di un determinato componente NVIDIA, ma nel costruire un sistema completo capace di ridurre la dipendenza dall’ecosistema tecnologico statunitense.
Questa evoluzione è coerente con gli indirizzi del XV Piano Quinquennale cinese per il periodo 2026-2030. I documenti programmatici, infatti, indicano i circuiti integrati, l’intelligenza artificiale, il software di base e le infrastrutture di calcolo tra i settori nei quali ottenere avanzamenti decisivi. Allo stesso tempo, Pechino continua a presentare l’autonomia tecnologica e la cooperazione internazionale come obiettivi compatibili, non necessariamente alternativi. Nel luglio 2026, la Cina ha inoltre pubblicato un piano per la cooperazione internazionale sull’intelligenza artificiale, comprendente potenza di calcolo, dati, formazione, standard, governance ed etica.
Di conseguenza, l’apparente contraddizione tra l’acquisto di processori NVIDIA e il sostegno ai produttori nazionali scompare se si considera l’autosufficienza come un processo e non come una condizione immediata. Pechino può utilizzare prodotti stranieri nel breve periodo, assimilarne le possibilità applicative e garantire continuità alle proprie imprese, mentre sviluppa un’infrastruttura alternativa nel medio e lungo termine. Al contrario, un divieto generalizzato delle tecnologie statunitensi potrebbe danneggiare le aziende cinesi proprio nella fase in cui devono accumulare esperienza, formare tecnici e finanziare la transizione verso piattaforme nazionali.
Anche i controlli statunitensi producono quindi risultati ambivalenti. Da un lato, essi possono rallentare l’accesso cinese ai processori più avanzati e aumentare i costi della costruzione di grandi infrastrutture per l’intelligenza artificiale. Dall’altro, sono però riusciti a interrompere la ricerca cinese né a impedire lo sviluppo di modelli competitivi. Hanno invece incentivato gli investimenti nei semiconduttori nazionali, nelle tecniche di ottimizzazione e nelle architetture capaci di aggregare processori meno potenti. La pressione esterna diventa così, almeno in parte, un acceleratore della politica cinese di autosufficienza.
La vicenda della RTX PRO 5500, infine, interessa anche i Paesi del Sud globale. Se Washington estende la propria capacità di controllo ai clienti finali, alle filiali estere e alle infrastrutture situate in Stati terzi, l’accesso alla potenza di calcolo rischia di essere organizzato secondo una gerarchia politica. Università, imprese e governi potrebbero dipendere non soltanto dalla disponibilità economica dei processori, ma anche dalla collocazione geopolitica del proprio Paese e dalle relazioni con gli Stati Uniti. La competizione tra piattaforme statunitensi e cinesi può aprire nuove possibilità di diversificazione, ma può anche produrre ecosistemi incompatibili e nuove forme di dipendenza tecnologica.
La RTX PRO 5500 rappresenta dunque molto più di un nuovo prodotto commerciale. Essa mostra come una GPU destinata formalmente alle applicazioni professionali possa diventare oggetto di negoziazione tra governi, strumento della politica industriale e indicatore dello stato dei rapporti tra Washington e Pechino. Nel frattempo, la distinzione tradizionale tra tecnologia civile e strategica si fa sempre meno netta, perché gli stessi processori possono essere impiegati nella ricerca medica, nella progettazione industriale, nella robotica, nella simulazione militare o nell’elaborazione di grandi quantità di dati.
Six out of nine of the most popular AI chatbots routinely exposed user input to third parties, new European research reveals.
Multiple chatbots disclosed sensitive user data to advertising companies through trackers – a piece of code used to identify and target users on the web with customised advertisements, which are widely used across the web.
And tech companies may have been able to link conversation summaries with personal identifiers, allowing users to be targeted based on their conversations with AI.
The researchers aimed to establish the connection between existing tracking technologies and AI advertising. “We basically connected the dots, and wanted to test whether and how AI bots integrate tracking and advertising services,” said Narseo Vallina-Rodriguez, who led the study.
Vallina-Rodriguez is part of a group of researchers who investigated the use of ad trackers in the most popular AI providers with colleagues at Imdea Networks, a public research institute in Madrid.
Their findings warn of “tensions” between tech company practices and obligations to users under privacy laws.
“We already knew that tracking is pervasive, even without AI. But now you have the most super-invasive phenomena on the internet, which is AI,” said Itxaso Domínguez de Olazábal, a policy adviser at digital rights group Edri.
Users often share information about their health, psychological state, finances, and other intimate matters in AI prompts. The study shows how users who asked AI questions about such matters could have sensitive details summarised in a chat title shared with third parties.
“Now, big tech has access to much more intimate information which users tell AI. It’s crazy, the details are so intimate. My friends ask AI bots about relationships, or they use ‘doctor AI’,” said Domínguez de Olazábal.
GDPR rules require companies to make clear how users’ data is harvested, but researchers question “ambiguous expressions” used to explain the role of trackers in T&Cs.
And the ePrivacy directive requires users to consent to cookies unless they are “strictly necessary”, but researchers found that even when users rejected non-essential cookies, AI bots Perplexity, DeepSeek, Gemini, Copilot, ChatGPT and Claude still connected to Google Ads.
All of the top nine most popular chatbots were found to integrate at least one third-party advertising or tracking service.
A preview of the study, released in May, prompted the Spanish privacy watchdog AEPD to request for the European Data Protection Committee (EPDC) to share preliminary findings with European counterparts “for knowledge and assessment”.
The final paper, titled ‘Prompt like a Butterfly, Sting like a Tracker’, has been accepted for publication at an academic forum in Delft next year.
Findings “highlight tensions between current practices and obligations under the GDPR and ePrivacy Directive, exposing broader shortcomings in consent, access control, and transparency mechanisms,” the paper reads.
It reveals that Grok, operated by Elon Musk’s SpaceXAI, exposed public links to conversations by default, allowing trackers to routinely access whole conversations, with TikTok also processing screenshots of Grok conversations.
Meanwhile, Mistral, France’s flagship AI firm, did not offer users a choice to reject non-essential cookies.
But offering such a choice might soon be redundant anyway. “The tracking industry is moving towards paradigms called cookie-less and identity-based tracking. So they are circumventing anti-tracking capabilities,” Vallina-Rodriguez told EUobserver.
Some suggest that using browsers with anti-tracker technologies can help users avoid surveillance.
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Which states generate the most electricity from coal? According to May 2026 EIA data, Texas leads all states with 4,536 thousand MWh of coal-fired generation, followed by West Virginia (3,611 thousand MWh) and Kentucky (3,442 thousand MWh). But while West Virginia is 87.2% dependent on coal, it occupies a modest 8.95% share in Texas’s vast energy mix.
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Europe Minister Benjamin Haddad said proceeds from penalties imposed on the US technology company should be treated as EU revenue and used to lower the sums governments must pay into the common budget.
The proposal comes as negotiations intensify over the 2028–34 Multiannual Financial Framework, for which the European Commission has proposed expenditure of almost €2 trillion.
Haddad referred to about €4.6 billion in revenue associated with Google penalties and interest.
The proposal is less radical in budgetary terms than it first appears because fines that become final already enter the EU budget as “other revenue”.
The Commission’s explanation of EU budget revenue states that gross national income-based contributions act as the balancing element of the budget after customs duties, VAT-based resources and other revenues — including fines on companies — are taken into account.
Higher income from definitive competition fines can therefore reduce the amount required from national governments.
France is pressing for that mechanism to be applied clearly to the Google proceeds at a time when governments are seeking ways to limit increases in their national payments.
Google has accumulated substantial EU penalties through both competition law and the Digital Markets Act.
In July, the European Commission fined Google €890 million under the Digital Markets Act in two separate decisions.
A €460 million penalty concerned the Commission’s finding that Google gave preferential treatment to its own services in search results. A further €430 million fine concerned restrictions affecting developers’ ability to direct users towards alternative purchasing channels outside Google Play.
Google has contested elements of the EU enforcement regime and has continued legal proceedings over Commission decisions.
EU Today has followed the dispute closely. In September, Google began changing European search results following the DMA enforcement action, while earlier Commission measures generated a wider dispute with Washington over European regulation of US technology groups.
The French budget proposal shifts the issue from regulation towards public finance.
EU governments are currently divided over the Commission’s proposed 2028–34 budget, which averages about 1.26 per cent of EU gross national income.
Germany, Denmark, Finland, the Netherlands and Austria are among governments seeking substantial reductions in the proposed spending level.
EU Today reported this month that five large net contributors were demanding cuts of several hundred billion euros from the Commission proposal.
France also faces a sharp increase in its projected contribution.
Against that background, governments are looking at both expenditure reductions and new revenue streams that could limit demands on national treasuries.
The wider negotiations cover possible EU “own resources” — revenue that flows directly or indirectly to the European budget rather than being provided through conventional national contributions.
Existing resources include customs duties, a VAT-based contribution, a plastics contribution and national payments calculated according to gross national income.
The Commission has also proposed additional sources linked to carbon pricing and other EU policies.
EU Today has previously examined how EU leaders are searching for new revenue sources for the €2 trillion budget while attempting to finance defence, competitiveness, migration, agriculture, cohesion programmes and support for Ukraine.
Company fines differ from permanent own resources because their size is unpredictable and depends on enforcement decisions and subsequent legal proceedings.
A large fine can provide a one-off boost to EU revenue, but it cannot readily finance recurring expenditure across a seven-year financial framework.
Definitive fines have nevertheless affected member-state contributions before. Commission budget amendments have explicitly incorporated competition penalties as additional revenue, reducing the amount that must be raised elsewhere.
France is now seeking to ensure that the Google proceeds are reflected directly in the sums demanded from national budgets.
The proposal comes before another round of negotiations over the Multiannual Financial Framework, where the size of the budget remains unresolved.
With agreement requiring unanimity among all 27 governments, even relatively small sources of additional revenue are becoming part of the bargaining over who ultimately pays for the EU’s expanding spending commitments.