Ethiopia has launched a new Artificial Intelligence University Innovation Pod in Addis Ababa, marking a significant step in its ambition to become Africa’s leading AI hub.
The Ethiopian Artificial Intelligence Institute leads the initiative in partnership with Addis Ababa University and the UN Development Programme, under the latter’s Timbuktoo Initiative.
Officials say the centre is designed to strengthen national AI capacity, promote homegrown technological solutions and build a sustainable innovation ecosystem. The AI UniPod will support university students, researchers and start-ups working on advanced digital technologies, with a focus on transforming young people from job seekers into technology creators.
The Ethiopian Artificial Intelligence Institute highlighted recent achievements, including patented tools for breast cancer diagnosis and coffee seed identification, as evidence of the country’s growing technological capability. Leaders described the new facility as a shift from ambition to practical implementation of AI.
Data sovereignty was emphasised as a central pillar of the strategy. Authorities argued that control over digital infrastructure and data resources is essential for national sovereignty, particularly as AI becomes embedded in economic and public systems.
The government views the AI UniPod as a long-term platform for innovation, aimed not only at Ethiopia but also at the wider African continent.
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As Chinese skater Sun Long stood on the Milan-Cortina Winter Olympics podium, the vivid red of his uniform reflected more than national pride. It also highlighted AI’s expanding role in China’s textile manufacturing.
In Shaoxing, AI-powered image systems calibrate fabric colours in real time. Factory managers say digital printing has lifted pass rates from about 50% to above 90%, easing longstanding production bottlenecks.
Tyre manufacturing firm Zhongce Rubber Group uses AI to generate multiple 3D designs in minutes. Engineers report shorter development cycles and reduced manual input across research and testing.
Electric vehicle maker Zeekr uses AI visual inspection in its 5G-enabled factory. Officials say tyre verification now takes seconds, helping eliminate assembly errors.
Provincial authorities in China report that large industrial firms are fully digitalized. Zhejiang plans to further integrate AI by 2027, expanding smart factories and industrial intelligence.
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A Pakistani American surgeon has launched what is described as the UAE’s first AI clinical intelligence platform across the country’s public healthcare system. The rollout was announced in Dubai in partnership with Emirates Health Services.
Boston Health AI, founded by Dr Adil Haider, introduced the platform known as Amal at a major health expo in Dubai. The system conducts structured medical interviews in Arabic, English and Urdu before consultations, generating summaries for physicians.
The company said the technology aims to reduce documentation burdens and cognitive load on clinicians in the UAE. By organising patient histories and symptoms in advance, Amal is designed to support clinical decision making and improve workflow efficiency in Dubai and other emirates.
Before entering the UAE market, Boston Health AI deployed its platform in Pakistan across more than 50 healthcare facilities. The firm states that over 30,000 patient interactions were recorded in Pakistan, where a local team continues to develop and refine the AI system.
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Quebec’s financial regulator has opened a review into how AI tools are being used to collect consumer debt across the province. The Autorité des marchés financiers is examining whether automated systems comply with governance, privacy and fairness standards in Quebec.
Draft guidelines released in 2025 require institutions in Quebec to maintain registries of AI systems, conduct bias testing and ensure human oversight. Public consultations closed in November, with regulators stressing that automation must remain explainable and accountable.
Many debt collection platforms now rely on predictive analytics to tailor the timing, tone and frequency of messages sent to borrowers in Quebec. Regulators are assessing whether such personalisation risks undue pressure or opaque decision making.
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Artificial intelligence startup Simile has raised $100m to develop a model designed to predict human behaviour in commercial and corporate contexts. The funding round was led by Index Ventures with participation from Bain Capital Ventures and other investors.
The company is building a foundation model trained on interviews, transaction records and behavioural science research. Its AI simulations aim to forecast customer purchases and anticipate questions analysts may raise during earnings calls.
Simile says the technology could offer an alternative to traditional focus groups and market testing. Retail trials have included using the system to guide decisions on product placement and inventory.
Founded by Stanford-affiliated researchers, the startup recently emerged from stealth after months of development. Prominent AI figures, including Fei-Fei Li and Andrej Karpathy, joined the funding round as it seeks to scale predictive decision-making tools.
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Ghana is set to host the Pan African AI and Innovation Summit 2026 in Accra, reinforcing its ambition to shape Africa’s digital future. The gathering will centre on ethical artificial intelligence, youth empowerment and cross-sector partnerships.
Advocates argue that AI systems must be built on local data to reflect African realities. Many global models rely on datasets developed outside the continent, limiting contextual relevance. Prioritising indigenous data, they say, will improve outcomes across agriculture, healthcare, education and finance.
National institutions are central to that effort. The National Information Technology Agency and the Data Protection Commission have strengthened digital infrastructure and privacy oversight.
Leaders now call for a shift from foundational regulation to active enablement. Expanded cloud capacity, high-performance computing and clearer ethical AI guidelines are seen as critical next steps.
Supporters believe coordinated governance and infrastructure investment can generate skilled jobs and position Ghana as a continental hub for responsible AI innovation.
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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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A document released by the Republican-led House Judiciary Committee revived claims that the EU digital rules amount to censorship. The document concerns a €120 million fine against X under the Digital Services Act and was framed as a ‘secret censorship ruling’, despite publication requirements.
The document provides insight into how the European Commission interprets Article 40 of the DSA, which governs researcher access to platform data. The rule requires huge online platforms to grant qualified researchers access to publicly accessible data needed to study systemic risks in the EU.
Investigators found that X failed to comply with Article 40.12, in force since 2023 and covering public data access. The Commission said X applied restrictive eligibility rules, delayed reviews, imposed tight quotas, and blocked independent researcher access, including scraping.
The decision confirms platforms cannot price access to restrict research, deny access based on affiliation or location, or ban scraping by contract. The European Commission also rejected X’s narrow reading of ‘systemic risk’, allowing broader research contexts.
The ruling also highlights weak internal processes and limited staffing for handling access requests. X must submit an action plan by mid-April 2026, with the decision expected to shape future enforcement of researcher access across major platforms.
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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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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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