Future of work

UAE gains UN praise for Arab Digital Economy strategy

A senior UN official has praised the Arab Digital Economy vision backed by President Sheikh Mohamed bin Zayed, calling it a leading regional model for accelerating digital development.

The initiative, adopted by the Arab League, was described as a significant milestone for collective progress, rather than fragmented national efforts.

Speaking at the Knowledge Summit in Dubai, Dr Abdallah Al Dardari noted that the UAE has secured a central position in global and regional technological advancements through forward-looking policies and a strong commitment to innovation.

He argued that the country’s digital achievements provide an ideal foundation for Arab nations aiming to strengthen their own digital ecosystems.

Moreover, he highlighted the UAE’s combination of advanced infrastructure, modern legislation and innovation-friendly conditions, adding that its experience offers valuable guidance for states working to build integrated digital economies that can respond to rapid global change.

Dr Al Dardari concluded that the UAE’s role in driving regional and international development offers a model for a future economy shaped by knowledge and technology, rather than traditional growth approaches.

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Binance Japan integrates PayPay Money for crypto

Binance Japan and PayPay have launched a new service that enables users to purchase crypto assets using PayPay Money and PayPay Points. The integration allows funds deposited from PayPay Money to be used directly for spot trading on Binance Japan.

Users can also withdraw proceeds from crypto sales back into their PayPay Balance. Previously, trading and withdrawals were restricted to Japanese yen transfers via domestic banks or external wallets.

The new system allows one-click deposits and withdrawals, starting from JPY 1,000.

The service works 24 hours a day, 365 days a year, offering a smoother trading experience for both mobile and web users. To activate the integration, users enable the linkage via the PayPay icon within Binance Japan’s trading platform.

The initiative reflects growing collaboration between PayPay and Binance Japan, aiming to enhance convenience and accessibility for both first-time traders and experienced users while expanding crypto adoption in Japan.

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Nokia to invest 4 billion in AI-ready US networks

Nokia has announced a $4 billion expansion of its US research, development, and manufacturing operations to accelerate AI-ready networking technologies. The move builds on Nokia’s earlier $2.3 billion US investment via Infinera and semiconductor manufacturing plans.

The expanded investment will support mobile, fixed access, IP, optical, data centre networking, and defence solutions. Approximately $3.5 billion will be allocated for R&D, with $500 million dedicated to manufacturing and capital expenditures in Texas, New Jersey, and Pennsylvania.

Nokia aims to advance AI-optimised networks with enhanced security, productivity, and energy efficiency. The company will also focus on automation, quantum-safe networks, semiconductor testing, and advanced material sciences to drive innovation.

Officials highlight the strategic impact of Nokia’s US investment. Secretary of Commerce Howard Lutnick praised the plan for boosting US tech capacity, while CEO Justin Hotard said it would secure the future of AI-driven networks.

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Entry-level jobs vanish as AI rises

Generative AI is reshaping the job market by reducing the need for entry-level positions, particularly in white-collar industries. Analysts warn that young workers are losing the opportunity to acquire skills through traditional on-the-job experience, which has historically paved the way for promotions.

Employers are drawn to AI for its efficiency, as it can complete tasks in a fraction of the time it once took human teams. This shift poses a threat to the traditional career ladder, resulting in a shortage of trained candidates for senior and managerial roles in the years to come.

Young professionals can counter these trends by acquiring practical AI skills, even outside of technology sectors. Combining human strengths, such as strategic thinking, with AI proficiency may help early-career workers remain competitive and adapt to evolving workplace demands.

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Italy closes Google probe after consent changes

Italy has closed its investigation into Google after the company agreed to adjust how it requests user consent for personal data use. Regulators had accused Google of presenting unclear and potentially misleading choices when connecting users to its services.

The authority said Google will now offer clearer explanations about how consent affects data processing. Updates will outline where personal information may be combined or used across the company’s wider service ecosystem.

Officials launched the probe in July 2024, arguing Google’s approach could amount to aggressive commercial practice. Revised consent flows were accepted as sufficient remedies, leading to the closure of the case without financial penalties.

The Italian competition regulator indicated that transparency improvements were central to compliance. Similar scrutiny continues across Europe as regulators assess how large technology firms obtain permission for extensive data handling.

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New NVIDIA model drives breakthroughs in conservation biology

Researchers have introduced a biology foundation model that can recognise over a million species and understand relationships across the animal and plant kingdoms.

BioCLIP 2 was trained on one of the most extensive biological datasets ever compiled, allowing it to identify traits, cluster organisms and reveal patterns that support conservation efforts.

A model that relies on NVIDIA accelerated computing instead of traditional methods and demonstrates what large-scale biological learning can achieve.

Training drew on more than two hundred million images that cover hundreds of thousands of taxonomic classes. The AI model learned how species fit within wider biological hierarchies and how traits differ across age, gender and related groups without explicit guidance.

It even separated diseased leaves from healthy samples, offering a route to improved monitoring of ecosystems and agricultural resilience.

Scientists now plan to expand the project by utilising wildlife digital twins that simulate ecological systems in controlled environments.

Researchers will be able to study species interactions and test scenarios instead of disturbing natural habitats. The approach opens possibilities for richer ecological research and could offer the public immersive ways to view biodiversity from the perspective of different animals.

BioCLIP 2 is available as open-source software and has already attracted strong global interest. Its capabilities indicate a shift toward more advanced biological modelling powered by accelerated computing, providing conservationists and educators with new tools to address long-standing knowledge gaps.

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Bangladesh unveils national roadmap for ethical AI development

Bangladesh has launched its first national AI Readiness Assessment Report to guide ethical, inclusive and rights-centred development of AI across public services.

The report was unveiled in Dhaka with representatives from government, international organisations, academia, civil society and the private sector. Officials described the assessment as a pivotal step as the country prepares for an increasingly AI-driven era.

The report outlines Bangladesh’s current strengths, including solid progress in e-government and high public trust in digital services, while also identifying areas requiring urgent attention.

Connectivity gaps, digital divides, limited computing capacity and the need for stronger data protection and cybersecurity remain key challenges. Policymakers noted that evidence-based decisions are essential as Bangladesh completes its National AI Policy.

International partners highlighted that the direction of AI development will depend heavily on choices made today. Strengthening digital infrastructure, improving skills, and building rights-driven governance structures were cited as central to ensuring AI benefits all communities.

Stakeholders also stressed the importance of using AI to improve services across health, education, justice and social protection without deepening existing inequalities.

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New study shows AI improves mental health diagnoses

A Lund University study shows an AI assistant can assess psychiatric conditions more accurately than standard mental health rating scales. In a study of 303 participants, the AI assistant Alba gave DSM-based diagnoses, outperforming standard tools in eight of nine disorders.

The study included conditions such as depression, anxiety, OCD, PTSD, ADHD, autism, eating disorders, substance use disorder and bipolar disorder.

Alba proved particularly effective at distinguishing overlapping conditions where traditional rating scales often yield similar results. Participants also reported positive experiences with the AI interview, describing it as empathic, supportive and engaging.

Researchers highlighted that AI-assisted interviews could serve as a scalable, person-centred tool to complement clinical assessments while preserving the clinician’s essential role.

The study advances digital mental health tools, with Alba analysing the full DSM-5 manual instead of individual disorders. Talk To Alba offers AI-powered clinical interviews, CBT support, DSM-5-based diagnosis, and consultation transcription.

Experts emphasise that such AI solutions can ease healthcare workloads, provide preliminary assessments, and maintain high diagnostic reliability without replacing mental health professionals.

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Google launches AI skilling blueprint to close Africa’s skills gap

Google has launched an AI Skilling Blueprint for Africa, activating a $7.5 million commitment to support expert local organisations in training talent. An additional $2.25 million will be used to modernise public data infrastructure.

The initiative aims to address the continent’s widening AI skills gap, where over half of businesses report the biggest barrier to growth is a shortage of qualified professionals.

The framework identifies three core groups for development. AI Learners build foundational AI skills, AI Implementers upskill professionals across key sectors, and AI Innovators develop experts and entrepreneurs to create AI solutions suited to African contexts.

Partner organisations include FATE Foundation, the African Institute for Mathematical Sciences, JA Africa and the CyberSafe Foundation.

Complementing talent development, the initiative supports the creation of a Regional Data Commons through funding from Google.org and the Data Commons initiative, in partnership with UNECA, UN DESA and PARIS21.

High-quality, trustworthy data will enable African institutions to make informed decisions, drive innovation in public health, food security, economic planning, and ultimately strengthen a sustainable AI ecosystem across the continent.

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GPT‑5 expands research speed and idea generation for scientists

AI technology is increasingly helping scientists accelerate research across fields including biology, mathematics, physics, and computer science. Early GPT‑5 studies show it can synthesise information, propose experiments, and aid in solving long-standing mathematical problems.

Experts note the technology expands the range of ideas researchers can explore and shortens the time to validate results.

Case studies demonstrate tangible benefits: in biology, GPT‑5 helped identify mechanisms in human immune cells within minutes, suggesting experiments that confirmed the results.

In mathematics, GPT‑5 suggested new approaches, and in optimisation, it identified improved solutions later verified by researchers.

These advances reinforce human-led research rather than replacing it.

OpenAI for Science emphasises collaboration between AI and experts. GPT‑5 excels at conceptual literature review, exploring connections across disciplines, and proposing hypotheses for experimental testing.

Its greatest impact comes when researchers guide the process, breaking down problems, critiquing suggestions, and validating outcomes.

Researchers caution that AI does not replace human expertise. Current models aid speed, idea generation, and breadth, but expert oversight is essential to ensure reliable and meaningful scientific contributions.

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