Future of work

South Korea confirms scale of Coupang data breach

The South Korean government has confirmed that 33.67 million user accounts were exposed in a major data breach at Coupang in South Korea. The findings were released by the Ministry of Science and ICT in Seoul.

Investigators in South Korea said names and email addresses were leaked, while delivery lists containing addresses and phone numbers were accessed 148 million times. Officials warned that the impact in South Korea could extend beyond the headline account figure.

Authorities in South Korea identified a former employee as the attacker, alleging misuse of authentication signing keys. The probe concluded that weaknesses in internal controls at Coupang enabled the breach in South Korea.

The ministry in South Korea criticised delayed reporting and plans to impose a fine on Coupang. The company disputed aspects of the findings but said 33.7 million accounts were involved in South Korea.

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Fukushima rebuilds as technology hub

Fukushima is repositioning itself as a technology and innovation hub, more than a decade after the 2011 earthquake, tsunami and nuclear disaster in Japan. The Fukushima Innovation Coast Framework aims to revitalise the coastal Hamadori region of Fukushima Prefecture.

At the centre of the push in Fukushima is the Fukushima Institute for Research, Education and Innovation, which plans a major research complex in Namie. The site in Fukushima will focus on robotics, energy, agriculture and radiation science, drawing researchers from across Japan and overseas.

Fukushima already hosts the Fukushima Robot Test Field and the Fukushima Hydrogen Energy Research Field. Projects in Fukushima include hydrogen production from solar power and large-scale robotics and drone testing.

Officials in Fukushima say the strategy combines clean energy, sustainable materials and advanced research to create jobs and attract families back to Japan’s northeast. Fukushima is positioning itself as a global case study in post-disaster recovery through technology.

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Microsoft explores superconductors for AI data centres

Microsoft is studying high-temperature superconductors to transmit electricity to its AI data centres in the US. The company says zero-resistance cables could reduce power losses and eliminate heat generated during transmission.

High-temperature superconductors can carry large currents through compact cables, potentially cutting space requirements for substations and overhead lines. Microsoft argues that denser infrastructure could support expanding AI workloads across the US.

The main obstacle is cooling, as superconducting materials must operate at extremely low temperatures using cryogenic systems. Even high-temperature variants require conditions near minus 200 degrees Celsius.

Rising electricity demand from AI systems has strained grids in the US, prompting political scrutiny and industry pledges to fund infrastructure upgrades. Microsoft says efficiency gains could ease pressure while it develops additional power solutions.

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Custom AI bots support student negotiating skills

In Cambridge, instructors at MIT and the Harvard Negotiation Project are using AI negotiation bots to enhance classroom simulations. The tools are designed to prompt reflection rather than offer fixed answers.

Students taking part in a multiparty exercise called Harborco engage with preparation, back-table and debriefing bots. The system helps them analyse stakeholder interests and test strategies before and after live negotiations.

Back-table bots simulate unseen political or organisational actors who often influence real-world negotiations. Students can safely explore trade-offs and persuasion tactics in a protected digital setting.

According to reported course findings, most participants said the AI bots improved preparation and sharpened their understanding of opposing interests. Instructors in Cambridge stress that AI supports, rather than replaces, human teaching and peer learning.

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MIT researchers tackle antimicrobial resistance with AI and synthetic biology

A pioneering research initiative at MIT is deploying AI and synthetic biology to combat the escalating global crisis of antimicrobial resistance, which has been fuelled by decades of antibiotic overuse and misuse.

The $3 million, three-year project, led by Professor James J. Collins at MIT’s Department of Biological Engineering, centres on developing programmable antibacterials designed to target specific pathogens.

The approach uses AI to design small proteins that turn off specific bacterial functions. These designer molecules would be produced and delivered by engineered microbes, offering a more precise alternative to traditional antibiotics.

Antimicrobial resistance impacts low and middle-income countries most severely, where limited diagnostic infrastructure causes treatment delays. Drug-resistant infections continue to rise globally, whilst the development of new antibacterial tools has stagnated.

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AI workshops strengthen digital skills in Wales tourism sector

Wales has launched a national programme of practical AI workshops to help tourism and hospitality businesses adopt digital tools. Funded by Visit Wales and the Welsh Government, the initiative aims to strengthen the sector’s competitiveness by assisting companies to save time and enhance their online presence.

Strong demand reflects growing readiness within the sector to embrace AI. Delivered through Business Wales, the free sessions have quickly reached near capacity, with most places booked shortly after launch. The programme is tailored to small and medium-sized enterprises and prioritises hands-on learning over technical theory.

Workshops focus on simple, immediately usable tools that improve website content, search visibility, and customer engagement. Organisers highlight that AI-driven search features are reshaping how visitors discover tourism services, making accuracy, consistency, and authoritative digital content increasingly important.

At the centre of the initiative is Harri, a bespoke AI tool explicitly developed for Welsh tourism businesses. Designed to reflect the local context, it supports listings management, customer enquiries, and search optimisation. Early feedback indicates that the approach delivers practical and measurable benefits.

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Cisco warns AI agents need checks before joining workforces

The US-based conglomerate Cisco is promoting a future in which AI agents work alongside employees rather than operate as mere tools. Jeetu Patel, the company’s president, revealed that Cisco has already produced a product written entirely with AI-generated code and expects several more by the end of 2026.

A shift to spec-driven development that allows smaller human teams to work with digital agents instead of relying on larger groups of developers.

Human oversight will still play a central role. Coders will be asked to review AI-generated outputs as they adjust to a workplace where AI influences every stage of development. Patel argues that AI should be viewed as part of every loop rather than kept at the edge of decision-making.

Security concerns dominate the company’s planning. Patel warns that AI agents acting as digital co-workers must undergo background checks in the same way that employees do.

Cisco is investing billions in security systems to protect agents from external attacks and to prevent agents that malfunction or act independently from harming society.

Looking ahead, Cisco expects AI to deliver insights that extend beyond human knowledge. Patel believes that the most significant gains will emerge from breakthroughs in science, health, energy and poverty reduction rather than simple productivity improvements.

He also positions Cisco as a core provider of infrastructure designed to support the next stage of the AI era.

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Cloudflare launches Moltworker platform after AI assistant success

The viral success of Moltbot has prompted Cloudflare to launch a dedicated platform for running the popular AI assistant. The move underscores how the networking company is positioning itself at the centre of the emerging AI agent ecosystem.

Moltbot, an open-source AI personal assistant built on Anthropic’s Claude model, became a viral sensation last month and demonstrated the effectiveness of Cloudflare’s edge infrastructure for running autonomous agents.

The assistant’s rapid adoption validated CEO Matthew Prince’s assertion that AI agents represent a ‘fundamental re-platforming’ of the internet. In response, Cloudflare quickly released Moltworker, a platform specifically designed for securely operating Moltbot and similar AI agents.

Prince described the dynamic as creating a ‘virtuous flywheel,’ with AI agents serving as the new users of the internet, whilst Cloudflare provides the platform they run on and the network they pass through.

Industry analysts have highlighted why Cloudflare’s infrastructure is well-suited to the era of agentic computing. RBC Capital Markets noted that AI agents require low-latency, secure inferencing at the network’s edge- precisely what Cloudflare’s Workers platform delivers.

The continued proliferation of AI agents is expected to drive ongoing demand for these capabilities.

Prince, who co-founded the company, revealed that Cloudflare ended 2025 with 4.5 million active human developers on its platform, providing a substantial foundation for the next wave of AI-driven applications and agents built on the company’s infrastructure.

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South Korea launches labour–government body to address AI automation pressures

A new consultative body has been established in South Korea to manage growing anxiety over AI and rapid industrial change.

The Ministry of Employment and Labour joined forces with the Korean Confederation of Trade Unions to create a regular channel for negotiating how workplaces should adapt as robots and AI systems become more widespread across key industries.

The two sides will meet monthly to seek agreement on major labour issues. The union argued for a human-centred transition instead of a purely technological one, urging the government to strengthen protections for workers affected by restructuring and AI-powered production methods.

Officials in South Korea responded by promising that policy decisions will reflect direct input gathered from employees on the ground.

Concerns heightened after Hyundai Motor confirmed plans to mass-produce Atlas humanoid robots by 2028 and introduce them across its assembly lines. The project forms part of the company’s ambition to build a ‘physical AI’ future where machines perform risky or repetitive tasks in place of humans.

The debate intensified as new labour statistics showed a sharp decline in employment within professional and scientific technical services, where AI deployment is suspected of reducing demand for new hires.

KCTU warned that industrial transformation could widen inequality unless government policy prioritises people over profit.

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AI adoption leaves workers exhausted as a new study reveals rising workloads

Researchers from UC Berkeley’s Haas School of Business examined how AI shapes working habits inside a mid-sized technology firm, and the outcome raised concerns about employee well-being.

Workers embraced AI voluntarily because the tools promised faster results instead of lighter schedules. Over time, staff absorbed extra tasks and pushed themselves beyond sustainable limits, creating a form of workload creep that drained energy and reduced job satisfaction.

Once the novelty faded, employees noticed that AI had quietly intensified expectations. Engineers reported spending more time correcting AI-generated material passed on by colleagues, while many workers handled several tasks at once by combining manual effort with multiple automated agents.

Constant task-switching gave a persistent sense of juggling responsibilities, which lowered the quality of their focus.

These researchers also found that AI crept into personal time, with workers prompting tools during breaks, meetings, or moments intended for rest.

As a result, the boundaries between professional and private time weakened, leaving many employees feeling less refreshed and more pressured to keep up with accelerating workflows.

The study argues that AI increased the density of work rather than reducing it, undermining promises that automation would ease daily routines.

Evidence from other institutions reinforces the pattern, with many firms reporting little or no productivity improvement from AI. Researchers recommend clearer company-level AI guidelines to prevent overuse and protect staff from escalating workloads driven by automation.

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