E-commerce and trade

South Korea’s new Science Minister pledges AI-led national transformation

South Korea’s new Science and ICT Minister, Bae Kyung-hoon, has pledged to turn the nation into one of the world’s top three AI powerhouses.

Instead of following outdated methods, Bae outlined a bold national strategy centred on AI, science and technology, aiming to raise Korea’s potential growth rate to 3 per cent and secure a global economic leadership position.

Bae, a leading AI expert and former president of LG AI Research, officially assumed office on Thursday.

Drawing from experience developing hyperscale AI models like LG’s Exaone, he emphasised the need to build a unique competitive advantage rooted in AI transformation, talent development and technological innovation.

Rather than focusing only on industrial growth, Bae’s policy agenda targets a broad AI ecosystem, revitalised research and development, world-class talent nurturing, and addressing issues affecting daily life.

His plans include establishing AI-centred universities, enhancing digital infrastructure, promoting AI semiconductors, restoring grassroots research funding, and expanding consumer rights in telecommunications.

With these strategies, Bae aims to make AI accessible to all citizens instead of limiting it to large corporations or research institutes. His vision is for South Korea to lead in AI development while supporting social equity, cybersecurity, and nationwide innovation.

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EU confirms AI Act rollout and releases GPAI Code of Practice

The European Commission has confirmed it will move forward with the EU AI Act exactly as scheduled, instead of granting delays requested by tech giants and businesses.

On 10 July 2025, it published the final General-Purpose AI (GPAI) Code of Practice alongside FAQs to guide organisations aiming to comply with the new law.

Rather than opting for a more flexible timetable, the Commission is standing firm on its regulatory goals. The GPAI Code of Practice, now in its final form, sets out voluntary but strongly recommended steps for companies that want reduced administrative burdens and clearer legal certainty under the AI Act.

The document covers transparency, copyright, and safety standards for advanced AI models, including a model documentation form for providers.

Key dates have already been set. From 2 August 2025, rules covering notifications, governance, and penalties will come into force. By February 2026, official guidelines on classifying high-risk AI systems are expected.

The remaining parts of the legislation will take effect by August 2026, instead of being postponed further.

With the publication of the GPAI Code of Practice, the EU takes another step towards building a unified ethical framework for AI development and deployment across Europe, focusing on transparency, accountability, and respect for fundamental rights.

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Broadcom challenges Nvidia with Tomahawk Ultra AI networking chip

Broadcom has introduced a new networking chip designed to boost AI data centre performance, positioning itself against Nvidia in the AI hardware race.

Called Tomahawk Ultra, the chip helps link hundreds of processors within close range, ensuring fast communication vital for large AI models.

Instead of using Nvidia’s proprietary NVLink system, Broadcom’s Tomahawk Ultra operates on an accelerated version of Ethernet and connects up to four times more chips within a server rack.

The chip acts as a traffic controller, enabling what the industry refers to as ‘scale-up’ computing — where AI models tap into combined computing power from tightly grouped chips.

According to Broadcom senior vice president Ram Velaga, it took engineers around three years to design the Tomahawk Ultra, which was originally aimed at high-performance computing but adapted for AI workloads as demand surged.

Taiwan Semiconductor Manufacturing Company (TSMC) is producing the processors using its five-nanometre process, and the chips are already shipping to customers.

Rather than requiring major hardware overhauls, the Tomahawk Ultra offers a scalable, Ethernet-based alternative for AI firms looking to build faster, more flexible data centres.

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UK customer‑experience leaders champion human‑centred AI

Marketing Week’s CX50 2025 accolades spotlight ten individuals who are redefining customer experience by putting people before pixels.

These leaders are harnessing AI thoughtfully, augmenting frontline staff with tools that personalise service without eroding the human touch.

Their work spans retail, hospitality, financial services and the public sector, showcasing how AI-driven systems can streamline operations while nurturing empathetic engagement.

Strategies include using automation for routine tasks and intelligent routing, freeing teams to focus on empathy, insight and dialogue.

Partners Cognizant, Google Cloud and Salesforce helped assemble the CX50 list. The initiative underscores a growing movement: top-performing brands blend algorithmic precision with human warmth to build trust and loyalty in increasingly digital markets.

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Thinking Machines Lab raises $2bn to build safer AI

Thinking Machines Lab, an AI startup founded earlier this year by former OpenAI executive Mira Murati, has raised $2 billion in new funding. The round, which values the company at $12 billion, was led by Andreessen Horowitz and backed by Nvidia, Cisco, AMD, and others.

The company aims to develop safer and more reliable AI systems by focusing on how people naturally interact with the world, including speech and vision. Its first product, due in the coming months, will offer open-source components designed to support researchers and startups.

At launch, nearly two-thirds of the team had previously worked at OpenAI, underscoring the company’s ambition to lead in the field of frontier AI. Murati said the startup plans to make its science publicly available to support understanding and transparency.

The investment comes amid a surge in AI-related funding, which accounted for over 64% of all US startup deal value in the first half of 2025. Growing interest in generative and multimodal AI continues to attract major capital despite wider concerns over tech sector spending.

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AI Appreciation Day highlights progress and growing concerns

AI is marking another milestone as experts worldwide reflect on its rapid rise during AI Appreciation Day. From reshaping business workflows to transforming customer experiences, AI’s presence is expanding — but so are concerns over its long-term implications.

Industry leaders point to AI’s growing role across sectors. Patrick Harrington from MetaRouter highlights how control over first-party data is now seen as key instead of just processing large datasets.

Vall Herard of Saifr adds that successful AI implementations depend on combining curated data with human oversight rather than relying purely on machine-driven systems.

Meanwhile, Paula Felstead from HBX Group believes AI could significantly enhance travel experiences, though scaling it across entire organisations remains a challenge.

Voice AI is changing industries that depend on customer interaction, according to Natalie Rutgers from Deepgram. Instead of complex interfaces, voice technology is improving communication in restaurants, hospitals, and banks.

At the same time, experts like Ivan Novikov from Wallarm stress the importance of securing AI systems and the APIs connecting them, as these form the backbone of modern AI services.

While some celebrate AI’s advances, others raise caution. SentinelOne’s Ezzeldin Hussein envisions AI becoming a trusted partner through responsible development rather than unchecked growth.

Naomi Buckwalter from Contrast Security warns that AI-generated code could open security gaps instead of fully replacing human engineering, while Geoff Burke from Object First notes that AI-powered cyberattacks are becoming inevitable for businesses unable to keep pace with evolving threats.

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Trump unveils AI economy with $100 billion investment push

Donald Trump revealed during the Pittsburgh, Pennsylvania Energy and Innovation Summit that the US will receive over $100 billion in investments to drive its AI economy and energy infrastructure.

The funding is set to create tens of thousands of jobs across the energy and AI sectors, with Pennsylvania positioned as a central hub.

Trump stated the US is already ‘way ahead of China’ in AI development, adding that staying in the lead will require expanding power production.

Instead of relying solely on renewables, Trump highlighted ‘clean, beautiful coal, oil, and nuclear energy as key pillars supporting AI-related growth.

Westinghouse plans to build several nuclear plants nationwide, while Knighthead Capital will invest $15 billion in North America’s largest natural gas power plant in Homer City, Pennsylvania.

Additionally, Google will revitalise two hydropower facilities within the state, contributing to the broader investment wave. Trump mentioned that 20 major technology and energy firms are preparing further commitments in Pennsylvania, reinforcing its role in what he calls the US ‘AI economy’.

The event, hosted by Senator Dave McCormick at Carnegie Mellon University, also featured discussions with Pennsylvania Governor Josh Shapiro.

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Meta opens audio lab to improve AI smart glasses

Meta has unveiled a £12 million audio research lab in Cambridge’s Ox‑Cam corridor, aimed at enhancing immersive sound for its Ray‑Ban Meta and upcoming Oakley Meta glasses. The facility includes advanced acoustic testing environments, motion‑tracked living spaces, and one of the world’s largest configurable reverberation chambers, enabling engineers to fine‑tune spatial audio through real‑world scenarios.

Designed to filter noise, focus on speech, and respond to head movement, the lab is developing adaptive audio intelligent enough to improve clarity in settings like busy streets or on public transport. Meta plans to integrate these features into its next generation of AR eyewear.

Officials say the lab represents a long‑term investment in UK engineering talent and bolsters the Oxford‑to‑Cambridge tech corridor. Meta’s global affairs lead and the Chancellor emphasised the significance of the investment, supported by a national £22 billion R&D strategy. This marks Meta’s largest overseas engineering base and reinforces its ambition to lead the global AI glasses market.

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Oracle commits billions to expand AI infrastructure in Europe

Oracle has confirmed a $3 billion investment in its AI and cloud infrastructure across Germany and the Netherlands over the next five years. The move aims to boost its capacity in Europe as demand for advanced computing services continues to rise.

The company plans to invest $2 billion in Germany and $1 billion in the Netherlands, joining other major tech firms ramping up data centre infrastructure. Oracle’s strategy reflects broader market trends, with companies like Meta and Amazon committing large sums to meet AI-driven cloud needs.

The firm expects capital expenditure to exceed $25 billion in fiscal 2026, primarily focused on expanding data centre capabilities for AI. Analysts say Oracle’s AI and cloud services are increasingly competitive with traditional software, fuelling its strong performance this year.

Oracle shares have climbed nearly 38% since January, with a recent regulatory filing revealing a future deal worth over $30 billion in annual revenue beginning in 2028. The company sees its growing infrastructure as key to accelerating revenue and profit.

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Trump launches $70 billion AI and energy investment plan

President Donald Trump has announced a $70 billion initiative to strengthen America’s energy and data infrastructure to meet growing AI-driven demand. The plan was revealed at Pittsburgh’s Pennsylvania Energy & Innovation Summit, with over 60 primary energy and tech CEOs in attendance.

The investment will prioritise US states such as Pennsylvania, Texas, and Georgia, where energy grids are increasingly under pressure due to rising data centre usage. Part of the funding will come from federal-private partnerships, alongside potential reforms led by the Department of Energy.

Analysts suggest the plan redirect federal support away from wind and solar energy in favour of nuclear and fossil fuel development. The proposal may also scale back green tax credits introduced under the Inflation Reduction Act, potentially affecting more than 300 gigawatts of renewable capacity.

The package includes a project to transform a disused steel mill in Aliquippa into a large-scale data centre hub, forming part of a broader strategy to establish new AI-energy corridors. Critics argue the plan could prioritise legacy systems over decarbonisation, even as AI pushes infrastructure to its limits.

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