Samsung will open its CES 2026 presence with a Sunday evening press conference focused on integrating AI across its product portfolio. The event will take place on 4 January at the Wynn in Las Vegas and will be livestreamed online.
Senior executives, including TM Roh, head of the Device eXperience division, and leaders from Samsung’s visual display and digital appliance businesses, are expected to outline the company’s AI strategy. Samsung says the presentation will emphasise AI as a core layer across products and services.
The company has already previewed several AI-enabled devices ahead of CES. The devices include a portable projector that adapts to its surroundings, expanded Google Photos integration on Samsung TVs, and new Micro RGB television displays.
The company is also highlighting AI-powered home appliances designed to anticipate user needs. Examples include refrigerators that track food supplies, generate shopping lists, and detect early signs of device malfunction.
New smartphones are not expected at the event, with the next Galaxy Unpacked launch reportedly scheduled for later in January or early February.
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A large energy and AI campus is taking shape outside Amarillo, Texas, as startup Fermi America plans to build what it says would be the world’s largest private power grid. The project aims to support large-scale AI training using nuclear, gas, and solar power.
Known as Project Matador, the development would host millions of square metres of data centres and generate more electricity than many US states consume at peak demand. The site is near the Pantex nuclear weapons facility and is part of a broader push for US energy and AI dominance.
Fermi is led by former Texas governor and energy secretary Rick Perry alongside investor Toby Neugebauer. The company plans to deploy next-generation nuclear reactors and offer off-grid computing infrastructure, though it has yet to secure a confirmed anchor tenant.
The scale and cost of the project have raised questions among analysts and local residents. Critics point to financing risks, water use, and the challenge of delivering nuclear reactors on time and within budget, while supporters argue the campus could drive economic growth and national security benefits.
Backed by political momentum and rising demand for AI infrastructure, Fermi is pressing ahead with construction and partnerships. Whether Project Matador can translate ambition into delivery remains a key test as competition intensifies in the global race to power next-generation AI systems.
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Chinese President Xi Jinping said 2025 marked a year of major breakthroughs for the country’s AI and semiconductor industries. In his New Year’s address, he said that Chinese technology firms had made significant progress in AI models and domestic chip development.
China’s AI sector gained global attention with the rise of DeepSeek. The company launched advanced models focused on reasoning and efficiency, drawing comparisons with leading US systems and triggering volatility in global technology markets.
Other Chinese firms also expanded their AI capabilities. Alibaba released new frontier models and pledged large-scale investment in cloud and AI infrastructure, while Huawei announced new computing technologies and AI chips to challenge dominant suppliers.
China’s progress prompted mixed international responses. Some European governments restricted the use of Chinese AI models over data security concerns, while US companies continued engaging with Chinese-linked AI firms through acquisitions and partnerships.
Looking ahead to 2026, China is expected to prioritise AI and semiconductors in its next five-year development plan. Analysts anticipate increased research funding, expanded infrastructure, and stronger support for emerging technology industries.
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South Korea recorded its highest-ever export figures in 2025, driven largely by surging global demand for semiconductors used in AI technologies. Official data shows total exports exceeded $700 billion, marking a year-on-year increase despite ongoing trade pressures and economic uncertainty.
The semiconductor sector led the growth, with exports reaching a record $173.4 billion, up more than 20 per cent from the previous year. Strong demand for high-value memory chips used in AI data centres pushed shipments higher throughout the year, including a sharp rise in December that capped ten consecutive months of growth.
South Korea’s dominance in the chip market is underpinned by global leaders such as Samsung Electronics and SK Hynix, both key suppliers to the AI industry. The government is also doubling down on the sector, with President Lee Jae Myung pledging to triple national spending on AI in a bid to position the country among the world’s top AI powers.
Other export sectors also posted strong results. Car exports climbed to a record $72 billion, while agriculture and cosmetics benefited from sustained global interest in South Korean food, beauty products, and pop culture. These gains helped offset weaker shipments to the United States and China.
Exports to those two major partners declined amid tariffs on steel, automobiles, and machinery, although Seoul secured a reduced US tariff rate late in the year. While officials hailed the export record as a sign of economic resilience, they cautioned that global trade uncertainty and the durability of semiconductor demand could pose challenges ahead.
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AI is rapidly becoming the starting point for many everyday activities, from planning and learning to shopping and decision-making. A new report by PYMNTS Intelligence suggests that AI is no longer just an added digital tool, but is increasingly replacing traditional entry points such as search engines and mobile apps.
The study shows that AI use in the United States has moved firmly into the mainstream, with more than 60 per cent of consumers using dedicated AI platforms over the past year. Younger users and frequent AI users are leading the shift, increasingly turning to AI first rather than using it to support existing online habits.
Researchers found that how people use AI matters as much as how often they use it. Heavy users rely on AI across many aspects of daily life, treating it as a general-purpose system, while lighter users remain cautious and limit AI to lower-risk tasks. Trust plays a decisive role, especially when it comes to sensitive areas such as finances and banking.
The report also points to changing patterns in online discovery. Consumers who use standalone AI platforms are more likely to abandon older methods entirely, while those encountering AI through search engines tend to blend it with familiar tools. That difference suggests that the design and context of AI services strongly influence user behaviour.
Looking ahead, the findings hint at how AI could reshape digital commerce. Many consumers say they would prefer to connect digital wallets directly to AI platforms for payments, signalling a potential shift in how intent turns into transactions. As AI becomes a common entry point to the digital world, businesses and financial institutions face growing pressure to adapt their systems to this new starting line.
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A significant shift away from global views on central bank digital currencies has been made with the decision to allow China’s digital yuan to earn interest starting in January 2026. Wallet balances will now accrue interest at demand deposit rates, marking a shift from the widely held view that retail CBDCs should function purely as digital cash.
Central banks in Europe and the United States have long argued against interest-bearing CBDCs, warning they could destabilise financial systems by drawing deposits away from commercial banks.
Institutions such as the European Central Bank, the Federal Reserve and the Bank for International Settlements have stressed that digital currencies should not become savings instruments.
China’s move, however, effectively repositions the digital yuan closer to a deposit-like form of money rather than a simple cash substitute.
The policy applies to verified individual and corporate wallets, while anonymous wallets remain excluded. Digital yuan balances are also now covered by China’s deposit insurance scheme, offering the same protection as bank deposits.
Analysts say these design choices, combined with China’s two-tier distribution model that keeps commercial banks as intermediaries, aim to limit risks of bank disintermediation while encouraging wider adoption.
China’s decision could influence global debates as dozens of countries continue to explore the use of digital currencies. While Europe remains committed to a non-interest-bearing digital € and the United States has formally banned a retail CBDC, China is testing whether an interest-paying digital currency can coexist with traditional banking.
The experiment is likely to be closely watched as policymakers reconsider what role digital money should play in future financial systems.
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An innovative approach has gained attention as Google shared a way to help users visualize their goals for 2026 using its Gemini AI platform.
In a post from the official Gemini account, users were invited to experiment with a prompt linked to Nano Banana Pro, turning future planning into a visual and shareable exercise.
Visualize your 2026 goals with the help of Nano Banana Pro.
Open the Gemini app and use the prompt in the replies. Try different styles, like magazine cutout, notebook paper, and more. Share yours below ⬇️
The approach centres on a detailed image prompt that encourages users to create an illustrated vision board rather than a written list of resolutions.
By combining a knolling-style layout with hand-drawn aesthetics, notebook textures and playful annotations, the prompt aims to make goal-setting feel more personal and engaging.
Users are encouraged to customise the prompt by inserting their own aspirations, habits or milestones, allowing the AI to generate a tailored illustration. Cross-hatching, highlighter effects and handwritten notes give the images a deliberately imperfect, journal-like quality, despite being AI-generated.
The experiment reflects a broader trend of using generative AI for creative self-reflection rather than productivity alone. By framing goals as visual stories, Google is positioning Gemini as a tool that blends artistic expression with everyday planning.
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Space Forge, a UK company, has successfully activated a compact factory in orbit, proving its onboard furnace can operate at temperatures of around 1,000C. The breakthrough represents a major advance for space-based manufacturing.
The microwave-sized satellite was launched earlier this year and is operated remotely from mission control in Cardiff. Engineers have been monitoring its systems to validate manufacturing processes in space conditions.
Microgravity and vacuum environments allow semiconductor atoms to align more precisely than on Earth. These conditions produce significantly purer materials for electronics used in networks, electric vehicles and aerospace systems.
The company plans to build a larger orbital factory capable of producing materials for thousands of chips. Future missions will also test a heat shield designed to return manufactured products safely to Earth.
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India’s government has set out plans to democratise AI infrastructure nationwide. The strategy focuses on expanding access beyond major technology hubs.
Officials aim to increase availability of computing power, datasets and AI models. Startups, researchers and public institutions are key intended beneficiaries.
New initiatives under IndiaAI and national supercomputing programmes will boost domestic capacity. Authorities say local compute access reduces reliance on foreign providers.
Digital public platforms will support data sharing and model development. The approach seeks inclusive innovation across education, healthcare and governance across India.
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xAI is expanding its AI infrastructure in the southern United States after acquiring another data centre site near Memphis. The move significantly increases planned computing capacity and supports ambitions for large-scale AI training.
The expansion centres on the purchase of a third facility near Memphis, disclosed by Elon Musk in a post on X. The acquisition brings xAI’s total planned power capacity close to 2 gigawatts, placing the project among the most energy-intensive AI data centre developments currently underway.
xAI has bought a third building called MACROHARDRR. Will take @xAI training compute to almost 2GW.
xAI has already completed one major US facility in the area, known as Colossus, while a second site, Colossus 2, remains under construction. The newly acquired building, called MACROHARDRR, is located in Southaven and directly adjoins the Colossus 2 site, as previously reported.
By clustering facilities across neighbouring locations, xAI is creating a contiguous computing campus. The approach enables shared power, cooling, and high-speed data infrastructure for large-scale AI workloads.
The Memphis expansion underscores the rising computational demands of frontier AI models. By owning and controlling its infrastructure, xAI aims to secure long-term access to high-end compute as competition intensifies among firms investing heavily in AI data centres.
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