France has unveiled a new push to reduce Europe’s dependence on US and Chinese technology suppliers, placing digital sovereignty back at the centre of the EU policy debates.
Speaking in Paris, France’s minister for AI and digital affairs, Anne Le Hénanff, presented initiatives to expose and address the structural reliance on non-EU technologies across public administrations and private companies.
Central to the strategy is the creation of a Digital Sovereignty Observatory, which will map foreign technology dependencies and assess organisational exposure to geopolitical and supply-chain risks.
The body, led by former Europe minister Clément Beaune, is intended to provide the evidence base needed for coordinated action rather than symbolic declarations of autonomy.
France is also advancing a Digital Resilience Index, expected to publish its first findings in early 2026. The index will measure reliance on foreign digital services and products, identifying vulnerabilities linked to cloud infrastructure, AI, cybersecurity and emerging technologies.
Industry data suggests Europe’s dependence on external tech providers costs the continent hundreds of billions of euros annually.
Paris is using the initiative to renew calls for a European preference in public-sector digital procurement and for a standard EU definition of European digital services.
Such proposals remain contentious among member states, yet France argues they are essential for restoring strategic control over critical digital infrastructure.
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Widespread TikTok disruptions affected users across the US as snowstorms triggered power outages and technical failures, with reports of malfunctioning algorithms and missing content features.
Problems persisted for some users beyond the initial incident, adding to uncertainty surrounding the platform’s stability.
The outage coincided with the creation of a new US-based TikTok joint venture following government concerns over potential Chinese access to user data. TikTok stated that a power failure at a domestic data centre caused the disruption, rather than ownership restructuring or policy changes.
Suspicion grew among users due to overlapping political events, including large-scale protests in Minneapolis and reports of difficulties searching for related content. Fears of censorship spread online, although TikTok attributed all disruptions to infrastructure failure.
The incident also resurfaced concerns over TikTok’s privacy policy, which outlines the collection of sensitive personal data. While some disclosures predated the ownership deal, the timing reinforced broader anxieties over social media surveillance during periods of political tension.
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Apple is preparing a major AI upgrade for Siri powered by Google’s Gemini models, expected in the second half of February, according to Bloomberg. The update will run on Apple’s Private Cloud Compute infrastructure using high-end Mac chips.
The iOS 26.4 release is set to introduce ‘World Knowledge Answers’, enabling Siri to provide web-based summaries with citations similar to ChatGPT and Perplexity. Deeper integration across core apps such as Mail, Photos, Music, TV, and Xcode is also planned.
Expanded voice controls are expected to let users search for and edit photos by spoken description, as well as generate emails based on calendar activity. Bloomberg also reported Apple is paying Google around $1 billion annually to access Gemini’s underlying AI technology.
Market reaction to the news pushed Apple shares higher, while Alphabet stock also rose following confirmation of the partnership. A spokesperson for Apple declined to comment on the reported developments.
Looking ahead, Apple is developing a chatbot-style assistant known internally as ‘Campos’ to eventually replace the current Siri interface. The system would analyse on-screen activity, suggest actions, and expand device control across future operating systems.
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Google’s health-related search results increasingly draw on YouTube rather than hospitals, government agencies, or academic institutions, as new research reveals how AI Overviews select citation sources in automated results.
An analysis by SEO platform SE Ranking reviewed more than 50,000 German-language health queries and found AI Overviews appeared on over 82% of searches, making healthcare one of the most AI-influenced information categories on Google.
Across all cited sources, YouTube ranked first by a wide margin, accounting for more than 20,000 references and surpassing medical publishers, hospital websites, and public health authorities.
Academic journals and research institutions accounted for less than 1% of citations, while national and international government health bodies accounted for under 0.5%, highlighting a sharp imbalance in source authority.
Researchers warn that when platform-scale content outweighs evidence-based medical sources, the risk extends beyond misinformation to long-term erosion of trust in AI-powered search systems.
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The organisation Google.org has selected twelve recipients for its $20 million AI for Science fund, which aims to accelerate research in health, agriculture, biodiversity, and climate.
The initiative backs academic, nonprofit, and startup teams using AI to turn scientific insights into real-world solutions. In health and life sciences, projects target genetic decoding, neural mapping, disease prediction, and faster detection of drug resistance.
Research groups are applying advanced AI models to unlock hidden regions of the human genome, simulate disease pathways, and dramatically reduce detection times for life-threatening pathogens, shifting medicine towards earlier intervention and prevention.
Agriculture and food systems are another focus, using AI to breed resistant crops, improve nutrition, and cut livestock methane emissions. Projects seek to strengthen food security, boost sustainability, and support climate resilience.
Biodiversity and clean energy efforts target species mapping, conservation planning, fusion research, and large-scale carbon capture. Open science principles ensure datasets and tools remain accessible, scalable, and capable of driving wider breakthroughs.
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Gmail experienced widespread email filtering issues on Saturday, sending spam into primary inboxes and mislabelling legitimate messages as suspicious, according to Google’s Workspace status dashboard.
Problems began around 5 a.m. Pacific time, with users reporting disrupted inbox categories, unexpected spam warnings and delays in email delivery. Many said promotional and social emails appeared in primary folders, while trusted senders were flagged as potential threats.
Google acknowledged the malfunction throughout the day, noting ongoing efforts to restore normal service as complaints spread across social media platforms.
By Saturday evening, the company confirmed the issue had been fully resolved for all users, although some misclassified messages and spam warnings may remain visible for emails received before the fix.
Google said it is conducting an internal investigation and will publish a detailed incident analysis to explain what caused the disruption.
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Firefighting is entering a new era with HEN Technologies. Founder Sunny Sethi has developed nozzles that extinguish fires up to three times faster while conserving two-thirds of water.
HEN’s products include nozzles, valves, monitors, and sprinklers equipped with sensors and smart circuits. A cloud platform tracks water flow, pressure, GPS, and weather conditions, allowing fire departments to respond efficiently and manage resources effectively.
Predictive analytics built on this data provide real-time insights for incident commanders. Firefighters can anticipate wind shifts, monitor water usage, and optimise operations, attracting interest from the Department of Homeland Security and military agencies worldwide.
Commercial adoption has been rapid, with revenue rising from $200,000 in 2023 to a projected $20 million this year. Serving 1,500 clients globally and filing 20 patents, HEN is also collecting real-world fire data that could support AI models simulating extreme environments.
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Creative communities are pushing back against generative AI in literature and art. The Science Fiction and Fantasy Writers Association now bars works created wholly or partly with large language models after criticism of earlier, more permissive rules.
San Diego Comic-Con faced controversy when it initially allowed AI-generated art in its exhibition, but not for sale. Artists argued that the rules threatened originality, prompting organisers to ban all AI-created material.
Authors warn that generative AI undermines the creative process. Some point out that large language model tools are already embedded in research and writing software, raising concerns about accidental disqualification from awards.
Fans and members welcomed SFWA’s decision, but questions remain about how broadly AI usage will be defined. Many creators insist that machines cannot replicate storytelling and artistic skill.
Industry observers expect other cultural organisations to follow similar policies this year. The debate continues over ethics, fairness, and technology’s role in arts and literature.
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Monnett is a European-built social media platform designed to give people control over their online feeds. Users can choose exactly what they see, prioritise friends’ posts, and opt out of surveillance-style recommendation systems that dominate other networks.
Unlike mainstream platforms, Monnett places privacy first, with no profiling or sale of user data, and private chats protected without being mined for advertising. The platform also avoids “AI slop” or generative AI content shaping people’s feeds, emphasising human-centred interaction.
Created and built in Luxembourg at the heart of Europe, Monnett’s design reflects a growing push for digital sovereignty in the European Union, where citizens, regulators and developers want more control over how their digital spaces are governed and how personal data is treated.
Core features include full customisation of your algorithm, no shadowbans, strong privacy safeguards, and a focus on genuine social connection. Monnett aims to win users who prefer meaningful online interaction over addictive feeds and opaque data practices.
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AI has dominated discussions at the World Economic Forum in Davos, where IMF managing director Kristalina Georgieva warned that labour markets are already undergoing rapid structural disruption.
According to Georgieva, demand for skills is shifting unevenly, with productivity gains benefiting some workers while younger people and first-time job seekers face shrinking opportunities.
Entry-level roles are particularly exposed as AI systems absorb routine and clerical tasks traditionally used to gain workplace experience.
Georgieva described the effect on young workers as comparable to a labour-market tsunami, arguing that reduced access to foundational roles risks long-term scarring for an entire generation entering employment.
IMF research suggests AI could affect roughly 60 percent of jobs in advanced economies and 40 percent globally, with only about half of exposed workers likely to benefit.
For others, automation may lead to lower wages, slower hiring and intensified pressure on middle-income roles lacking AI-driven productivity gains.
At Davos 2026, Georgieva warned that the rapid, unregulated deployment of AI in advanced economies risks outpacing public policy responses.
Without clear guardrails and inclusive labour strategies, she argued that technological acceleration could deepen inequality rather than supporting broad-based economic resilience.
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