Future of work

AI transforms Indian filmmaking

Filmmakers in India are rapidly adopting AI tools like ChatGPT, Midjourney and Stable Diffusion to create visuals, clone voices, and streamline production processes for both independent and large-scale films.

Low-budget directors now produce nearly entire films independently, reducing costs and production time. Filmmakers use AI to visualise scenes, experiment creatively, and plan sound and effects efficiently.

AI cannot fully capture cultural nuance, emotional depth, or storytelling intuition, so human oversight remains essential. Intellectual property, labour protections, and ethical issues remain unresolved.

Hollywood has resisted AI, with strikes over rights and labour concerns. Indian filmmakers, however, carefully combine AI tools with human creativity to preserve artistic vision and cultural nuance.

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Historic Ghosts house gains digital protection

In the UK, a historic Surrey manor made famous by the BBC sitcom Ghosts has been digitally mapped. Engineers completed a detailed 3D survey of West Horsley Place.

The year long project used laser scanners to capture millions of measurements. Researchers from University of Surrey documented every room and structural feature.

The digital model reveals hidden deterioration and supports long term conservation planning. Future phases may add sensors to track temperature, humidity, and structural movement.

British researchers say the work could enhance preservation and visitor engagement. Virtual tours and augmented storytelling may deepen understanding of the estate’s history.

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AI reshaped European healthcare in 2025

Europe’s healthcare systems turned increasingly to AI in 2025, using new tools to predict disease, speed diagnosis, and reduce administrative workloads.

Countries including Finland, Estonia and Spain adopted AI to train staff, analyse medical data and detect illness earlier, while hospitals introduced AI scribes to free up doctors’ time with patients.

Researchers also advanced AI models able to forecast more than a thousand conditions many years before diagnosis, including heart disease, diabetes and certain cancers.

Further tools detected heart problems in seconds, flagged prostate cancer risks more quickly and monitored patients recovering from stent procedures instead of relying only on manual checks.

Experts warned that AI should support clinicians rather than replace them, as doctors continue to outperform AI in emergency care and chatbots struggle with mental health needs.

Security specialists also cautioned that extremists could try to exploit AI to develop biological threats, prompting calls for stronger safeguards.

Despite such risks, AI-driven approaches are now embedded across European medicine, from combating antibiotic-resistant bacteria to streamlining routine paperwork. Policymakers and health leaders are increasingly focused on how to scale innovation safely instead of simply chasing rapid deployment.

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Bitcoin adoption remains uneven across US states

A recent SmartAsset study based on IRS tax return data highlights sharp regional differences in Bitcoin participation across the US. Crypto engagement is concentrated in certain states, driven by income, tech adoption, and local economic culture.

Washington leads the rankings, with 2.43 per cent of taxpayers reporting crypto transactions, followed by Utah, California, Colorado and New Jersey. These states have strong tech sectors, higher incomes, and populations familiar with digital financial tools.

New Jersey’s position also shows that crypto interest extends beyond traditional tech hubs in the West. At the opposite end, states such as West Virginia, Mississippi, Kentucky, Louisiana and Alabama record participation close to or below one per cent.

Lower household incomes, smaller tech industries and a preference for conventional financial products appear to limit reported crypto activity, although some low-level holdings may not surface in tax data.

The data also reflects crypto’s sensitivity to market cycles. Participation surged during the 2021 bull run before declining sharply in 2022 as prices fell.

Higher-income households remain far more active than middle-income earners, reinforcing the view that Bitcoin adoption in the US is still largely speculative and unevenly distributed.

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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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Sberbank issues Russia’s first crypto-backed loan

Sberbank has issued Russia’s first crypto-backed loan, providing financing to Intelion Data, one of the country’s largest Bitcoin miners. The bank did not disclose the loan size or the cryptocurrency used as collateral but described the move as a pilot project.

The loan leveraged Sberbank’s own cryptocurrency custody solution, Rutoken, ensuring the digital assets’ safety throughout the loan period. The bank plans to offer similar loans and collaborate with the Central Bank on regulatory frameworks.

Intelion Data welcomed the deal, calling it a milestone for Russia’s crypto mining sector and a potential model for scaling similar financing across the industry. The company is expanding with a mining centre near the Kalinin Nuclear Power Plant and a gas power station.

Sberbank has also been testing decentralised finance tools and supports gradual legalisation of cryptocurrencies in Russia. VTB and other banks are preparing to support crypto transactions, while the Central Bank may allow limited retail trading.

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Korean Air employee data breach exposes 30,000 records after cyberattack

Investigators are examining a major data breach involving Korean Air after personal records for around 30,000 employees were exposed in a cyberattack on a former subsidiary.

An incident that affected KC&D Service, which previously handled in-flight catering before being sold to private equity firm Hahn and Company in 2020.

The leaked information is understood to include employee names and bank account numbers. Korean Air said customer records were not impacted, and emergency security checks were completed instead of waiting for confirmation of the intrusion.

Korean Air also reported the breach to the relevant authorities.

Executives said the company is focusing on identifying the full scope of the breach and who has been affected, while urging KC&D to strengthen controls and prevent any recurrence. Korean Air also plans to upgrade internal data protection measures.

The attack follows a similar case at Asiana Airlines last week, where details of about 10,000 employees were compromised, raising wider concerns over cybersecurity resilience across the aviation sector of South Korea.

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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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SK Telecom introduces South Korea’s first hyperscale AI model

The telecommunications firm, SK Telecom, is preparing to unveil A.X K1, Korea’s first hyperscale language model built with 519 billion parameters.

Around 33 billion parameters are activated during inference, so the AI model can keep strong performance instead of demanding excessive computing power. The project is part of a national initiative involving universities and industry partners.

The company expects A.X K1 to outperform smaller systems in complex reasoning, mathematics and multilingual understanding, while also supporting code generation and autonomous AI agents.

At such a scale, the model can operate as a teacher system that transfers knowledge to smaller, domain-specific tools that might directly improve daily services and industrial processes.

Unlike many global models trained mainly in English, A.X K1 has been trained in Korean from the outset so it naturally understands local language, culture and context.

SK Telecom plans to deploy the model through its AI service Adot, which already has more than 10 million subscribers, allowing access via calls, messages, the web and mobile apps.

The company foresees applications in workplace productivity, manufacturing optimisation, gaming dialogue, robotics and semiconductor performance testing.

Research will continue so the model can support the wider AI ecosystem of South Korea, and SK Telecom plans to open-source A.X K1 along with an API to help local developers create new AI agents.

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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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