ai

Samsung advances toward AI autonomous factories by 2030

The South Korean electronics corporation, Samsung, is preparing a major shift to autonomous manufacturing, converting global production sites into AI-driven factories by 2030.

As such, the company is moving toward a model in which AI systems understand on-site conditions and make operational decisions independently, rather than relying on fixed automation.

A transition that will use digital twin simulations across the whole manufacturing cycle, from materials warehousing to shipping.

Samsung will deploy AI agents for quality control, production and logistics, aiming for stronger data-driven verification and improved efficiency. Wider adoption of AI in environmental health and safety is expected to raise workplace safety standards.

The firm plans to integrate agentic AI, first introduced with the Galaxy S26, into industrial operations, enabling systems to set and execute their own tasks. Humanoid manufacturing robots will be rolled out in phases as Samsung builds fully optimised smart factories.

Samsung will present its manufacturing vision at Mobile World Congress 2026, followed by the Samsung Mobile Business Summit, where executives will detail governance strategies for managing the rise of agentic AI across industries.

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Singapore and South Korea expand AI partnership

South Korean President Lee Jae Myung used the opening day of his state visit to Singapore to set out plans for deeper cooperation in emerging technologies and renewable energy.

He framed the partnership as a chance to build a future-oriented agenda shaped by a shared reliance on human capital rather than natural resources.

The visit precedes a summit with Lawrence Wong, their second meeting in four months following the upgrade of bilateral ties to a strategic partnership. Both governments want to broaden collaboration across AI, energy, the green transition and defence while maintaining strong trade and investment links.

Lee told Korean residents in Singapore that the strengthened partnership could guide relations for the next fifty years by opening new routes for collaboration across strategic sectors. He added that expanding cooperation would support wider regional stability and long-term technological development.

The programme also includes a meeting with Tharman Shanmugaratnam and attendance at AI Connect. This forum connects business leaders and entrepreneurs from both countries seeking opportunities in AI research and commercial innovation.

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AI in Music raises critical copyright and creativity questions

AI is reshaping cultural debates, with music emerging as a key area of concern. Discussions reflect broader tensions about AI’s impact on creativity, labour, and ownership.

In the music industry, AI-generated tracks and automated playlists have raised fears about competition and income loss. Artists are concerned that their catalogues are being data-mined to train systems without consent.

Copyright and compensation are central to the debate. Composer Ed Newton-Rex organised the protest album Is This What We Want?, supported by artists including James MacMillan and Kate Bush, to oppose the unauthorised use of music for AI training.

Advocates argue that lawmakers can still introduce safeguards to prevent unregulated exploitation. The discussion focuses on whether governments will establish clear rules or allow broad data harvesting to continue.

Some observers highlight AI’s potential as a creative tool. Like previous music technologies, it could help composers explore new sounds rather than replace human musicians.

Ultimately, music is described as rooted in human emotion, interpretation, and shared experience. These qualities are presented as central to musical culture and difficult for AI to replicate.

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Florida Crystals embeds process intelligence to drive operational resilience

Florida Crystals, a diversified agribusiness serving sugar, sweeteners, bioenergy and agriculture markets, has adopted an AI-driven process intelligence platform to improve operational performance by linking data across siloed systems and making business processes more transparent and measurable.

The platform captures workflow telemetry, translates it into structured insights and surfaces opportunities for automation and efficiency improvements.

Executives describe how process intelligence helps teams identify bottlenecks in order fulfilment, customer onboarding and production planning, and how it assists in prioritising tasks that deliver measurable value rather than manual administrative work.

Using AI to analyse process data also supports root-cause analysis and predictive problem-solving, enabling managers to intervene before minor issues escalate.

The implementation underscores a shift from traditional reporting and human-intensive analysis toward AI-augmented operational decision-making, where data-centric process insights guide resourcing, exceptions handling and performance optimisation.

Rather than replacing staff, leaders emphasise that the technology is intended to augment human capabilities, allowing employees to focus on strategic decision-making while routine patterns are automated or re-engineered.

Florida Crystals’ approach reflects broader enterprise trends where intelligent data platforms, process mining and machine learning combine to support digital transformation efforts across supply chain, customer service and production functions.

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New all-island AI research alliance formed by Queen’s and UCD

Queen’s University Belfast and University College Dublin (UCD) have formalised a cross-border partnership focused on artificial intelligence research and talent development.

The collaboration will bring together researchers, faculty and students from both institutions to address shared challenges and opportunities in AI, including applications in healthcare, cybersecurity, data analytics and ethical AI governance.

The initiative aims to deepen academic cooperation, foster joint research projects, and expand interdisciplinary learning programmes that equip students with AI-relevant skills.

Leaders from both universities emphasised the importance of an all-island approach to strengthening AI expertise, enhancing competitiveness, and contributing to economic growth in Northern Ireland and the Republic of Ireland.

The partnership is expected to facilitate knowledge exchange, researcher mobility, and shared access to specialised facilities and funding opportunities.

Stakeholders also highlighted the broader societal context: as AI becomes integral to multiple sectors, coordinated academic and research ecosystems can help ensure that innovation aligns with ethical standards and public value.

By pooling resources and expertise across jurisdictions, the initiative positions both universities to play a more influential role in shaping AI policy, industry adoption and workforce development.

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Japanese bank Mizuho plans major AI shift across administrative operations

Mizuho Financial Group plans to reduce work equivalent to 5,000 administrative positions over the next decade by introducing AI systems to improve operational efficiency. Around one-third of its 15,000 clerical staff nationwide will see their duties reshaped rather than eliminated.

Administrative employees currently manage processes such as document checks and data entry when opening accounts at subsidiary branches. Management expects many of these routine activities to be handled by AI as automation expands across operations.

Company leaders confirmed no layoffs are planned, with affected employees set to move into roles requiring direct customer interaction. Staff will transition towards investment product sales, corporate services and other positions where human engagement remains essential.

Mizuho intends to invest up to 100 billion yen by fiscal 2028 to develop and deploy AI technologies supporting business reform. An internal department overseeing clerical work will also be renamed the ‘Process Design Group’, signalling a stronger focus on AI-driven transformation.

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Dell expands AI PC strategy to support human creativity

Dell is accelerating development of AI PCs, positioning them as the next standard for personal computing rather than a niche category. Industry forecasts suggest AI-enabled devices could account for more than half of global PC sales by 2026.

Dedicated neural processing units allow AI tasks to run directly on devices, freeing central and graphics processors for demanding creative workflows. Dell says such hardware enables faster editing, improved generative tools and smoother multitasking for designers, editors and digital creators.

Louise Quennell, UK Senior Director at Dell Technologies, emphasised that AI should support creativity rather than replace it. Automating repetitive tasks aims to give professionals more time for experimentation, artistic decision-making and higher-value creative work.

AI assistants are increasingly capable of managing scheduling, summarising information and reducing routine digital administration. Dell believes reducing these ‘digital chores’ could significantly improve productivity, particularly for freelancers balancing creative production with business responsibilities.

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Karnataka chief minister says AI should support not replace artists

Speaking at the Bengaluru GAFX Conference, a major event for the Games, Animation, Visual Effects and Extended Reality (AVGC-XR) sector, Karnataka Chief Minister Siddaramaiah positioned AI as a tool to augment artistic work rather than replace human creators.

He highlighted the importance of ethical AI adoption, respect for intellectual property, data privacy, and ensuring fair compensation for artists and creative professionals as the sector grows.

Siddaramaiah underscored that the ‘soul of storytelling’ and human emotion cannot be fully replicated by algorithms, stressing that technology should amplify human potential without erasing it.

He also urged industry leaders to invest in original content, educational institutions to modernise curricula, and global partners to collaborate with Karnataka’s burgeoning creative ecosystem.

The remarks came amid efforts to develop the AVGC-XR sector through policy support, infrastructure, skill development, and the creation of digital creative clusters beyond Bengaluru in cities like Mysuru, Mangaluru and Hubballi-Dharwad.

Siddaramaiah framed this approach as both an economic and cultural opportunity that must be inclusive and ethically grounded.

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AI in healthcare drives strategic transformation in hospital systems

AI is expanding across healthcare systems in Asia, particularly in diagnostics and hospital operations. Adoption is increasing, but governance frameworks and institutional guidance remain uneven.

In South Korea, a survey by the Korea Health Industry Development Institute(KHIDI) found that nearly half of registered doctors have used AI, mainly for medical image interpretation in diagnosis and screening. However, only a small proportion of medical institutions have formal AI guidelines, and limited training and legal uncertainty remain key barriers.

In response, KHIDI has indicated it will prioritise legal clarity, trust-building, and structured education in future policy development. Follow-up assessments are expected to inform regulatory approaches to medical AI.

Digital health integration is also advancing elsewhere in the region. The National Taiwan University Hospital has launched an electronic prescription system linked to telemedicine, enabling QR code-based dispensing at community pharmacies.

In India, Yashoda Medicity has introduced an AI-enabled e-ICU connected to a public district hospital. The system centralises clinical data and uses AI-driven analytics to support risk monitoring and specialist oversight.

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AI in the workplace raises critical governance and shadow use challenges

AI adoption in the workplace is accelerating faster than corporate governance frameworks are evolving. Experts warn that many organisations are unprepared for the risks associated with widespread AI use, creating gaps in oversight and accountability.

A study by the University of Melbourne and KPMG found that nearly half of surveyed professionals admitted to misusing AI at work. Many employees also reported witnessing colleagues misuse AI tools, often without formal authorisation.

Standard practices include uploading sensitive company data to public AI platforms, using AI during internal assessments, and presenting AI-generated work as original output. A significant number of employees also reported reducing their effort because they rely on AI assistance.

Experts caution that this trend creates an illusion of productivity and competence. Managers may receive polished reports generated by AI, while employees may not fully understand or verify the content, exposing organisations to poor decision-making, security vulnerabilities, and compliance risks.

Data protection concerns are particularly significant. Feeding confidential or proprietary information into public AI systems can lead to data leakage and legal exposure, especially when misuse results in financial harm or regulatory breaches.

To address these risks, experts recommend clear internal rules, approved AI tools, monitoring of sensitive data flows, and mandatory human oversight in critical processes. Training programmes should focus on practical guidance and reinforce that employees remain responsible for the accuracy and legality of AI-assisted work.

Analysts note that similar patterns emerged during the early stages of internet adoption. As AI use expands, governance frameworks, enforcement mechanisms, and organisational cultures will need to evolve to manage long-term risks.

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