Key Internet developments

AI is changing how Europeans work and learn

Generative AI has become an everyday tool across Europe, with millions using platforms such as ChatGPT, Gemini and Grok for personal, work, and educational purposes. Eurostat data shows that around a third of people aged 16–74 tried AI tools at least once in 2025.

Adoption varies widely across the continent. Norway leads with 56 percent of the population using AI, while Turkey records only 17 percent.

Within the EU, Denmark tops usage at 48 percent, and Romania lags at 18 percent. Northern and digitally advanced countries dominate, while southern, central-eastern, and Balkan nations show lower engagement.

Researchers attribute this to general digital literacy, internet use, and familiarity with technology rather than government policy alone. AI tools are used more for personal purposes than for work.

Across the EU, 25 percent use AI for personal tasks, compared with 15 percent for professional applications.

Usage in education is even lower, with only 9 percent employing AI in formal learning, peaking at 21 percent in Sweden and Switzerland and dropping to just 1 percent in Hungary.

Experts stress that while access is essential, understanding how to apply AI effectively remains a key barrier. Countries with strong digital foundations adopt AI more, while limited awareness and skills restrict use, emphasising the need for AI literacy and infrastructure.

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AI chatbots spreading rumours raise new risks

Researchers warn AI chatbots are spreading rumours about real people without human oversight. Unlike human gossip, bot-to-bot exchanges can escalate unchecked, growing more extreme as they move through AI networks.

Philosophers Joel Krueger and Lucy Osler from the University of Exeter describe this phenomenon as ‘feral gossip.’ It involves negative evaluations about absent third parties and can persist undetected across platforms.

Real-world examples include tech reporter Kevin Roose, who encountered hostile AI-generated assessments of his work from multiple chatbots, seemingly amplified as the content filtered through training data.

The researchers highlight that AI systems lack the social checks humans provide, allowing rumours to intensify unchecked. Chatbots are designed to appear trustworthy and personal, so negative statements can seem credible.

Such misinformation has already affected journalists, academics, and public officials, sometimes prompting legal action. Technosocial harms from AI gossip extend beyond embarrassment. False claims can damage reputations, influence decisions, and persist online and offline.

While chatbots are not conscious, their prioritisation of conversational fluency over factual accuracy can make the rumours they spread difficult to detect and correct.

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AI in education receives growing attention across the EU

A recent Flash Eurobarometer survey shows that EU citizens consider digital skills essential for all levels of education. Nearly nine in ten respondents believe schools should teach students to manage the effects of technology on mental and physical health.

Most also agree that digital skills deserve equal focus to traditional subjects such as reading, mathematics and science.

The survey highlights growing interest in AI in education. Over half of respondents see AI as both beneficial and challenging, emphasising the need for careful assessment. Citizens also expect teachers to be trained in AI use, including Generative AI, to guide students effectively.

While many support smartphone bans in schools, there is strong backing for digital learning tools, with 87% in favour of promoting technology designed specifically for education. Teachers, parents and families are seen as key in fostering safe and responsible technology use.

Overall, EU citizens advocate for a balanced approach that combines digital literacy, responsible use of technology, and the professional support of educators and families to foster a healthy learning environment.

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The AI terms that shaped debate and disruption in 2025

AI continued to dominate public debate in 2025, not only through new products and investment rounds, but also through a rapidly evolving vocabulary that captured both promise and unease.

From ambitious visions of superintelligence to cultural shorthand like ‘slop’, language became a lens through which society processed another turbulent year for AI.

Several terms reflected the industry’s technical ambitions. Concepts such as superintelligence, reasoning models, world models and physical intelligence pointed to efforts to push AI beyond text generation towards deeper problem-solving and real-world interaction.

Developments by companies including Meta, OpenAI, DeepSeek and Google DeepMind reinforced the sense that scale, efficiency and new training approaches are now competing pathways to progress, rather than sheer computing power alone.

Other expressions highlighted growing social and economic tensions. Words like hyperscalers, bubble and distillation entered mainstream debate as data centres expanded, valuations rose, and cheaper model-building methods disrupted established players.

At the same time, legal and ethical debates intensified around fair use, chatbot behaviour and the psychological impact of prolonged AI interaction, underscoring the gap between innovation speed and regulatory clarity.

Cultural reactions also influenced the development of the AI lexicon. Terms such as vibe coding, agentic and sycophancy revealed how generative systems are reshaping work, creativity and user trust, while ‘slop’ emerged as a blunt critique of low-quality, AI-generated content flooding online spaces.

Together, these phrases chart a year in which AI moved further into everyday life, leaving society to wrestle with what should be encouraged, controlled or questioned.

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Kazakhstan climbs global AI readiness ranking

Kazakhstan has risen to 60th place out of 195 countries in the 2025 Government AI Readiness Index, marking a 16-place improvement and highlighting a year of accelerated institutional and policy development.

The ranking, compiled by Oxford Insights, measures governments’ ability to adopt and manage AI across public administration, the economy, and social systems.

At a regional level, Kazakhstan now leads Central Asia in AI readiness. A strong performance in the Public Sector Adoption pillar, with a score of 73.59, reflects the widespread use of digital services, e-government platforms, and a shift toward data-led public service delivery.

The country’s advanced digital infrastructure, high internet penetration, and mature electronic government ecosystem provide a solid foundation for scaling AI nationwide.

Political and governance initiatives have further strengthened Kazakhstan’s position. In 2025, the government enacted its first comprehensive AI law, which covers ethics, safety, and digital innovation.

At the same time, the Ministry of Digital Development, Innovation and Aerospace Industry was restructured into a dedicated Ministry of Artificial Intelligence and Digital Development, signalling the government’s commitment to making AI a central policy priority.

Kazakhstan’s progress demonstrates how a focused policy, infrastructure, and institutional approach can enhance AI readiness, enabling the responsible and effective integration of AI across public and economic sectors.

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Santa Tracker services add new features on Christmas Eve

AI-powered tools are adding new features to long-running Santa Tracker services used by families on Christmas Eve. Platforms run by NORAD and Google allow users to follow Father Christmas’s journey through their Santa Tracker tools, which also introduce interactive and personalised digital experiences.

NORAD’s Santa Tracker, first launched in 1955, now features games, videos, music, and stories in addition to its live tracking map. This year, the service introduced AI-powered features that generate elf-style avatars, create toy ideas, and produce personalised holiday stories for families.

The Santa Tracker presents Santa’s journey on a 3D globe built using open-source mapping technology and satellite imagery. Users can also watch short videos on Santa Cam, featuring Santa travelling to destinations around the world.

Google’s rendition offers similar features, including a live map, estimated arrival times, and interactive activities available throughout December. Santa’s Village includes games, animations, and beginner-friendly coding activities designed for children.

Google Assistant introduces a voice-based experience to its service, enabling users to ask about Santa’s location or receive updates from the North Pole. Both platforms aim to blend tradition with digital tools to create a seamless and engaging holiday experience.

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ChatGPT becomes more customisable for tone and style

OpenAI has introduced new Personalisation settings in ChatGPT that allow users to fine-tune warmth, enthusiasm and emoji use. The changes are designed to make conversations feel more natural, instead of relying on a single default tone.

ChatGPT users can set each element to More, Less or Default, alongside existing tone styles such as Professional, Candid and Quirky. The update follows previous adjustments, where OpenAI first dialled back perceived agreeableness, then later increased warmth after users said the system felt overly cold.

Experts have raised concerns that highly agreeable AI could encourage emotional dependence, even as users welcome a more flexible conversational style.

Some commentators describe the feature as empowering, while others question whether customising a chatbot’s personality risks blurring emotional boundaries.

The new tone controls continue broader industry debates about how human-like AI should become. OpenAI hopes that added transparency and user choice will balance personal preference with responsible design, instead of encouraging reliance on a single conversational style.

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ChatGPT may move beyond GPTs as OpenAI develops new Skills feature

OpenAI is said to be testing a new feature for ChatGPT that would mark a shift from Custom GPTs toward a more modular system of Skills.

Reports suggest the project, internally codenamed Hazelnut, will allow users and developers to teach the AI model standalone abilities, workflows and domain knowledge instead of relying only on role-based configurations.

The Skills framework is designed to allow multiple abilities to be combined automatically when a task requires them. The system aims to increase portability across the web version, desktop client and API, while loading instructions only when needed instead of consuming the entire context window.

Support for running executable code is also expected, providing the model with stronger reliability for logic-driven work, rather than relying entirely on generated text.

Industry observers note similarities to Anthropic’s Claude, which already benefits from a skill-like structure. Further features are expected to include slash-command interactions, a dedicated Skill editor and one-click conversion from existing GPTs.

Market expectations point to an early 2026 launch, signalling a move toward ChatGPT operating as an intelligent platform rather than a traditional chatbot.

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Italy orders Meta to lift WhatsApp AI restrictions

Italy’s competition authority has ordered Meta to halt restrictions limiting rival AI chatbots on WhatsApp. Regulators say the measures may distort competition as Meta integrates its own AI services.

The Italian watchdog argues Meta’s conduct risks restricting market access and slowing technical development. Officials warned that continued enforcement could cause lasting harm to competition and consumer choice.

Meta rejected the ruling and confirmed plans to appeal, calling the decision unfounded. The company stated that WhatsApp Business was never intended to serve as a distribution platform for AI services.

The case forms part of a broader European push to scrutinise dominant tech firms. Regulators are increasingly focused on the integration of AI across platforms with entrenched market power.

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AI growth changes the cycle for memory chip manufacturers

The growing demand for AI is reshaping the fortunes of the memory chip industry, according to leading manufacturers, who argue that the scale of AI investment is altering the sector’s typical boom-and-bust pattern.

The technology is creating more structural demand, rather than the sharp cyclical spikes that previously defined the market.

AI workloads depend heavily on robust memory systems, particularly as companies expand data centre capacity worldwide. Major chipmakers now expect steadier growth because AI models require vast data handling rather than one-off hardware surges.

Analysts suggest it could reduce the volatility that has often led to painful downturns for the industry.

Additionally, some reports claim that Japanese technology group Rakuten is prioritising low-cost AI development to improve profitability across its businesses.

Its AI leadership stresses the need to deploy systems that maximise margins instead of simply chasing capability for its own sake.

The developments underscore how AI is not only transforming software and services but also reshaping the economics of the hardware required to power them, from memory chips to cloud infrastructure on a global scale.

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