Major semiconductor companies in Tokyo have reported strong profit growth for the April to December period, buoyed by rising demand for AI related chips. Several firms also raised their full year forecasts as investment in AI infrastructure accelerates.
Kioxia expects net profit to climb sharply for the year ending in March, citing demand from data centres in Tokyo and devices equipped with on device AI. Advantest and Tokyo Electron also upgraded their outlooks, pointing to sustained orders linked to AI applications.
Industry data suggest the global chip market will continue expanding, with World Semiconductor Trade Statistics projecting record revenues in 2026. Growth is being driven largely by spending on AI servers and advanced semiconductor manufacturing.
In Tokyo, Rapidus has reportedly secured significant private investment as it prepares to develop next generation chips. However, not all companies in Japan share the optimism, with Screen Holdings forecasting lower profits due to upfront capacity investments.
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Growing numbers of students are using AI chatbots such as ChatGPT to guide their college search, reshaping how institutions attract applicants. Surveys show nearly half of high school students now use artificial intelligence tools during the admissions process.
Unlike traditional search engines, generative AI provides direct answers rather than website links, keeping users within conversational platforms. That shift has prompted universities to focus on ‘AI visibility’, ensuring their information is accurately surfaced by chatbots.
Institutions are refining website content through answer engine optimisation to improve how AI systems interpret their programmes and values. Clear, updated data is essential, as generative models can produce errors or outdated responses.
College leaders see both opportunity and risk in the trend. While AI can help families navigate complex choices, advisers warn that trust, accuracy and the human element remain critical in higher education decision-making.
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Mounting anxiety is reshaping the modern workplace as AI alters job expectations and career paths. Pew Research indicates more than a third of employees believe AI could harm their prospects, fuelling tension across teams.
Younger workers feel particular strain, with 92% of Gen Z saying it is vital to speak openly about mental health at work. Communicators and managers must now deliver reassurance while coping with their own pressure.
Leadership expert Anna Liotta points to generational intelligence as a practical way to reduce friction and improve trust. She highlights how tailored communication can reduce misunderstanding and conflict.
Her latest research connects neuroscience, including the role of the vagus nerve, with practical workplace strategies. By combining emotional regulation with thoughtful messaging, she suggests that organisations can calm anxiety and build more resilient teams.
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Rising investment in AI is reshaping public services worldwide, yet citizen satisfaction remains uneven. Research across 14 countries shows that nearly 45% of residents believe digital government services still require improvement.
Employee confidence is also weakening, with empowerment falling from 87% three years ago to 73% today. Only 35% of public bodies provide structured upskilling for AI-enabled roles, limiting workforce readiness.
Trust remains a growing concern for public authorities adopting AI. Only 47% of residents say they believe their government will use AI responsibly, exposing a persistent credibility gap.
The study highlights an ‘experience paradox’, in which the automation of legacy systems outpaces meaningful service redesign. Leading nations such as the UAE, Saudi Arabia and Singapore rank highly for proactive AI strategies, but researchers argue that leadership vision and structural reform, not funding alone, determine long-term credibility.
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Departures from Elon Musk’s AI startup xAI have reached a symbolic milestone, with two more co-founders announcing exits within days of each other. Yuhuai Tony Wu and Jimmy Ba both confirmed their decisions publicly, marking a turning point for the company’s leadership.
Losses now total six out of the original 12 founding members, signalling significant turnover in less than three years. Several prominent researchers had already moved on to competitors, launched new ventures, or stepped away for personal reasons.
Timing coincides with major developments, including SpaceX’s acquisition of xAI and preparations for a potential public listing. Financial opportunities and intense demand for AI expertise are encouraging senior talent to pursue independent projects or new roles.
Challenges surrounding the Grok chatbot, including technical issues and controversy over its harmful content, have added internal pressure. Growing competition from OpenAI and Anthropic means retaining skilled researchers will be vital to sustaining investor confidence and future growth.
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Investors and researchers are increasingly arguing that the future of AI lies beyond large language models. In London and across Europe, startups are developing so-called world models designed to simulate physical reality rather than simply predict text.
Unlike LLMs, which rely on static datasets, world models aim to build internal representations of cause and effect. Advocates say these systems are better suited to autonomous vehicles, robotics, defence and industrial simulation.
London based Stanhope AI is among companies pursuing this approach, claiming its systems learn by inference and continuously update their internal maps. The company is reportedly working with European governments and aerospace firms on AI drone applications.
Supporters argue that safety and explainability must be embedded from the outset, particularly under frameworks such as the EU AI Act. Investors suggest that hybrid systems combining LLMs with physics aware models could unlock large commercial markets across Europe.
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LegalOn Technologies has introduced five agentic AI tools aimed at transforming in-house legal operations. The company says the agents complete specialised contract and workflow tasks in seconds within its secure platform.
Unlike conventional AI assistants that respond to prompts, the new system is designed to plan and execute multi-step workflows independently, tailoring outputs to each organisation’s templates and standards while keeping lawyers informed of every action.
The suite includes tools for generating playbooks, processing legal intake requests and translating contracts across dozens of languages. Additional agents triage high-volume agreements and produce review-ready drafts from clause libraries and deal inputs.
Founded by two corporate lawyers in Japan, LegalOn now operates across Asia, Europe and North America. Backed by $200m in funding, it serves more than 8,000 clients globally, including Fortune 500 companies.
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Accelerating AI adoption is exposing clear weaknesses in corporate AI governance. Research shows that while most organisations claim to have oversight processes, only a small minority describe them as mature.
Rapid rollouts across marketing, operations and manufacturing have outpaced safeguards designed to manage bias, transparency and accountability, leaving many firms reacting rather than planning ahead.
Privacy rules, data sovereignty questions and vendor data-sharing risks are further complicating deployment decisions. Fragmented data governance and unclear ownership across departments often stall progress.
Experts argue that effective AI governance must operate as an ongoing, cross-functional model embedded into product lifecycles. Defined accountability, routine audits and clear escalation paths are increasingly viewed as essential for building trust and reducing long-term risk.
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Students speaking at a major education technology conference said AI has revealed weaknesses in traditional learning. Heavy focus on memorisation is becoming less relevant in a world where digital tools provide instant answers.
AI helps learners summarise information and understand complex subjects more easily. Improved access to such tools has made studying more efficient and, in some cases, more engaging.
Teachers have responded by restricting technology use and returning to handwritten assignments. These measures aim to protect academic integrity but have created mixed reactions among students.
Participants supported guided AI use instead of banning it completely. Communication, collaboration and presentation skills were seen as more valuable and less vulnerable to AI shortcuts.
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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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