How EU leaders sided with Big Tech over the public’s right to know about the true scale and environmental impact of the AI build-out, forcing a legal challenge to seek disclosure
How Big Tech wrote secrecy into EU law to hide data centres’ environmental toll
Environmental footprint of Europe's data centres kept secret after industry lobbying in a move legal experts warn could violate transparency rules.
.jpg)
EU's data centre expansion will fast-track profits and power for US Big Tech and investors
The global competition to ‘win’ the AI-race is driving an unparalleled expansion of large-scale data centres across the world. Cloaked in a narrative of pursuing European tech sovereignty and adopting AI widely and rapidly, the EU is now proposing to fast-track data centre development across the region in what appears to be a gift to […]
The UK tech energy grab: how AI data centres are delaying the building of homes
Artificial intelligence infrastructure is being handed priority access to Britain's overwhelmed electricity grid, pushing housing down the list. But as the US shows, there's an alternative: make Big Tech pay for the power it needs. Report by Nicole Kobie
AI Is A Money Trap
In the last week, we’ve had no less than three different pieces asking whether the massive proliferation of data centers is a massive bubble, and though they, at times, seem to take the default position of AI’s inevitable value, they’ve begun to sour on the idea that
Stop the AI Build-Out, Start the Fight
Across the country, working-class communities are rising up against Big Tech’s data center boom. A moratorium isn’t the end goal — it’s the only leverage we have to force real democratic control over artificial intelligence.
AI Companies Are Trying to Hide a Staggering Amount of Debt
AI companies are pouring tens of billions of dollars into enormous data centers. They're being built on top of a mountain of hidden debt.
Irresponsible AI: big tech's influence on AI research and associated impacts
The accelerated development, deployment and adoption of artificial intelligence systems has been fuelled by the increasing presence of big tech in the AI field. This trend has been accompanied by growing ethical concerns and intensified societal and environmental impacts. This position paper argues that irresponsible AI development is strongly driven by big tech's influence and involvement in the field. First, we examine the growing and disproportionate influence of big tech in AI research and argue that its drive for scaling and general-purpose systems is fundamentally at odds with the responsible, ethical, and sustainable development of AI. Second, we review key current environmental and societal negative impacts of AI and trace their connections to big tech's influence. Third, we discuss the underlying economic forces driving big tech's actions. Finally, as a call to action, we invite AI researchers to counter big tech's influence in irresponsible AI development through strategies that build on the responsibility of implicated actors and collective action.
Irresponsible AI: big tech's influence on AI research and associated impacts
The accelerated development, deployment and adoption of artificial intelligence systems has been fuelled by the increasing presence of big tech in the AI field. This trend has been accompanied by growing ethical concerns and intensified societal and environmental impacts. This position paper argues that irresponsible AI development is strongly driven by big tech's influence and involvement in the field. First, we examine the growing and disproportionate influence of big tech in AI research and argue that its drive for scaling and general-purpose systems is fundamentally at odds with the responsible, ethical, and sustainable development of AI. Second, we review key current environmental and societal negative impacts of AI and trace their connections to big tech's influence. Third, we discuss the underlying economic forces driving big tech's actions. Finally, as a call to action, we invite AI researchers to counter big tech's influence in irresponsible AI development through strategies that build on the responsibility of implicated actors and collective action.
AI Data Centers: Big Tech's Impact on Electric Bills, Water, and More via @ConsumerReports
Massive data centers are gobbling up resources across the United States. The boom has just begun—and you may be paying for it.
Reframing the narrative: How the data center industry can unite to improve its public image
By uniting around shared values of transparency, innovation, and responsibility, the data center industry can shift the conversation from criticism to collaboration
Irresponsible AI: big tech’s influence on AI research and associated impacts
The accelerated development, deployment and adoption of artificial intelligence systems has been fuelled by the increasing presence of big tech in the AI field. This trend has been accompanied by growing ethical concerns and intensified societal and environmental impacts. This position paper argues that irresponsible AI development is strongly driven by big tech’s influence and involvement in the field. First, we examine the growing and disproportionate influence of big tech in AI research and argue that its drive for scaling and general-purpose systems is fundamentally at odds with the responsible, ethical, and sustainable development of AI. Second, we review key current environmental and societal negative impacts of AI and trace their connections to big tech’s influence. Third, we discuss the underlying economic forces driving big tech’s actions. Finally, as a call to action, we invite AI researchers to counter big tech’s influence in irresponsible AI development through strategies that build on the responsibility of implicated actors and collective action.
The Risks of Industry Influence in Tech Research
Emerging information technologies like social media, search engines, and AI can have a broad impact on public health, political institutions, social dynamics, and the natural world. It is critical to develop a scientific understanding of these impacts to inform evidence-based technology policy that minimizes harm and maximizes benefits. Unlike most other global-scale scientific challenges, however, the data necessary for scientific progress are generated and controlled by the same industry that might be subject to evidence-based regulation. Moreover, technology companies historically have been, and continue to be, a major source of funding for this field. These asymmetries in information and funding raise significant concerns about the potential for undue industry influence on the scientific record. In this Perspective, we explore how technology companies can influence our scientific understanding of their products. We argue that science faces unique challenges in the context of technology research that will require strengthening existing safeguards and constructing wholly new ones.
AI and Doctrinal Collapse
Artificial intelligence runs on data. But the two legal regimes that govern data—information privacy law and copyright law—are under pressure. Formally, each re
EU-AI | Igor L.
The geopolitical landscape is shifting from physical borders to digital infrastructure. Here is a factual breakdown of how a $500 billion investment in "Sovereign AI" is changing global power dynamics. The Shift: From Land to "Substrate" Historically, a nation’s power was defined by its territory and legal systems (the Westphalian model). Today, power is increasingly tied to the compute substrate—the physical hardware and energy required to run AI. 1. Infrastructural Enclosure The "Sovereign Compute Coalition" (SCC) represents a massive consolidation of power. Major private entities are acquiring the three pillars of modern national strength: * Hardware: High-end AI chips (e.g., Nvidia). * Energy: The massive power grids needed to fuel them. * Data Centers: The physical "brains" of the digital economy. 2. The Rise of Technocracy As private companies own these essential tools, governments may find themselves in a position where they effectively "rent" their ability to govern. This moves decision-making power away from elected officials and toward those who control AI infrastructure. 3. Europe’s Strategic Response Europe is launching several initiatives to avoid becoming a "client state" of foreign tech providers. The strategy focuses on four main channels: * 8ra Initiative: Building a decentralized, multi-provider cloud-edge architecture to ensure data remains under European control and interoperable across borders. * ReArm Europe: A strategic defense package (presented in March 2025) aimed at boosting industrial competitiveness and reducing strategic dependencies in technology and defense. * Sovereign LLMs: Developing domestic models, such as Mistral, that are designed to align with European data privacy standards and cultural values. * Energy & Procurement: Using public procurement and new regulatory frameworks to create demand for homegrown, sustainable energy-efficient compute solutions. The goal of these moves is #DigitalSovereignty : the ability for a region to control its own digital destiny without relying exclusively on transnational monopolies. Data tells the real story. Are you following it? Follow #datanomics
Article 78: Confidentiality | EU Artificial Intelligence Act
The Commission, market surveillance authorities and notified bodies and any other natural or legal person involved in the application of this Regulation…
GDPR for AI Systems: 2026 Compliance Guide (with EU AI Act Updates)
How to make AI systems GDPR-compliant in 2026 — the practitioner roadmap covering EU AI Act overlap, EDPB Opinion 28/2024, DPIAs, data minimization, sub-processor cascades, and the technical controls lawyers don't explain.
