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    Cost of Apple and Samsung phones to triple if US imposes 25% tariff

    • Consumers may postpone upgrades or seek alternative brands, potentially reshaping the smartphone market landscape.

    The prospect of a 25 per cent tariff on foreign-made smartphones, as recently threatened by former President Donald Trump, heralds significant ramifications for the smartphone industry, particularly for leading manufacturers Apple and Samsung.

    If enacted, this tariff would not only escalate production costs but also likely cause retail prices to soar, potentially tripling the cost of devices and reshaping the competitive landscape in the US market.

    President Donald Trump has said it is ok for Apple to go to India to build its plants, but then the tech company will be unable to sell its products in America without tariffs.

    Apple and Samsung’s production strategies are deeply entrenched in global supply chains that span multiple countries, including India, China, Vietnam, and others. This distributed manufacturing approach allows for cost efficiencies, access to specialised components, and streamlined assembly processes.

    For example, Apple assembles a substantial portion of its iPhones in India through Taiwanese contract manufacturers like Foxconn and Pegatron, leveraging the comparatively low labor costs of roughly $230 per month.

    In stark contrast, US labour costs, particularly in states with higher minimum wages such as California, could reach $2,900 monthly—over a thirteen-fold increase. This disparity alone would increase assembly costs per iPhone from approximately $30 to $390, drastically eroding the profit margins manufacturers currently enjoy.

    Multifaceted challenges

    Attempting to relocate production back to the United States introduces multifaceted logistical and financial challenges. Not only would companies have to contend with substantially higher labour costs, but experts also highlight the absence of mature automation technologies necessary for efficient domestic manufacturing of complex smartphones.

    This technological gap means that a return to US-based assembly lines would face hurdles in scaling production and maintaining product quality without massive investment and time-consuming adjustments.

    Moreover, sources for various critical components—such as Qualcomm and Broadcom’s chips in the US, OLED screens from South Korea, camera systems from Japan, and other parts from countries like Germany and Vietnam—would still require intricate international coordination.

    The tariff threat has already begun to influence market dynamics. Apple’s stock value dropped by approximately 2.6 per cent , corresponding to a loss of around $70 billion in market capitalisation.

    This decline reflects investor concerns regarding rising production costs, potential decreases in consumer demand, and the broader implications of trade tensions on economic stability.

    Supply chain disruptions

    Economists are apprehensive that such tariffs may exacerbate inflationary pressures on essential goods and could potentially dampen economic growth by reducing consumers’ disposable income and spending power.

    For consumers, the imposition of a 25 per cent tariff would likely translate into significantly higher smartphone prices, with estimates suggesting that the retail cost of iPhones might escalate to as much as $3,500 per unit from a current range of $800 to $1,200.

    These increases could deter buyers from upgrading their devices promptly or push them towards more affordable alternatives offered by competing brands. Additionally, supply chain disruptions might limit the availability of certain models, further constraining consumer choice.

    AI to account for half of data centre power consumption by year-end

    • Balancing AI’s rapid growth with sustainable energy and resource use remains a critical imperative. It requires ongoing innovation and responsible management to ensure the technology’s benefits do not come at an unsustainable environmental cost.

    The escalating energy demands of artificial intelligence (AI) systems pose significant sustainability challenges for data centres worldwide.

    According to Alex de Vries-Gao, founder of the Digiconomist tech sustainability website, AI will likely account for nearly half of data centre power consumption by the end of this year.

    His analysis, published in the journal Joule, considers the energy usage of chips from key manufacturers, including Nvidia, Advanced Micro Devices, and Broadcom, which are instrumental in training and operating AI models.

    Projections indicate that by 2025, AI could consume up to 49 per cent of total data centre power, potentially reaching 23 gigawatts—double the current energy use of the Netherlands.

    Environmental impact

    This substantial consumption encompasses not only the chips themselves but also the energy required for cooling the servers managing heavy AI workloads. Data centres function as the backbone of AI technology, underscoring the importance of addressing their environmental impact.

    This shift underscores the substantial energy demands driven by AI workloads, which are characterised by intensive computational processes necessary for machine learning, natural language processing, and more.

    The International Energy Agency has also highlighted concerns, estimating AI’s energy demand by decade’s end will rival Japan’s current consumption, with only half supplied by renewables.

    The IEA estimates that all data centres – excluding mining for cryptocurrencies – consumed 415 terawatt hours (TWh) of electricity last year. De Vries-Gao argues in his research that AI could already account for 20 per cent of that total.

    It projects that electricity demand from data centres worldwide is set to more than double by 2030 to around 945 terawatt-hours (TWh), slightly more than the entire electricity consumption of Japan today.

    AI: Most significant driver

    AI will be the most significant driver of this increase, with electricity demand from AI-optimised data centres projected to more than quadruple by 2030.

    In the United States, power consumption by data centres is on course to account for almost half of the growth in electricity demand between now and 2030.

    Driven by AI use, the US economy is set to consume more electricity in 2030 for processing data than for manufacturing all energy-intensive goods combined, including aluminium, steel, cement and chemicals.

    In advanced economies more broadly, data centres are projected to drive more than 20 per cent of the growth in electricity demand between now and 2030, putting the power sector in those economies back on a growth footing after years of stagnating or declining demand in many of them.

    While there may be a slowdown in hardware demand due to factors such as export controls or reduced popularity of certain AI applications, innovation in lower-cost, energy-efficient models, like those emerging from China, may mitigate some energy costs.

    Nevertheless, these advancements could paradoxically drive increased AI usage, further elevating energy needs. Additionally, the trend toward “sovereign AI” development in various countries could amplify hardware demand.

    Beyond energy, environmental sustainability challenges extend to water consumption—US data centres used over 75 billion gallons of water in 2023, raising concerns among environmentalists about resource sustainability.

    Can UAE become a powerhouse in the AI race in the Gulf?

    • Government’s proactive stance on developing regulatory frameworks and policies conducive to AI adoption fosters an ecosystem where innovation can flourish.
    • However, UAE faces both competition and collaboration dynamics with neighbouring countries such as Saudi Arabia, Qatar, and Bahrain, which are also actively pursuing AI agendas.
    • UAE has prioritised education and talent development, setting ambitious goals to nurture AI experts, data scientists, and engineers.
    • While expatriate professionals currently dominate the technological sectors, scaling up domestic human capital development remains a long-term endeavor.

    In recent years, the United Arab Emirates (UAE) has emerged as one of the most dynamic and forward-thinking nations in the Gulf Cooperation Council (GCC) region.

    The transformation is significantly driven by its ambitious vision to diversify its economy, reduce reliance on oil revenues, and position itself as a global hub for innovation and technology.

    Central to this vision is the UAE’s zealous investment in artificial intelligence (AI), which many analysts and policymakers view as a pivotal factor in securing the country’s future economic competitiveness and geopolitical relevance.

    However, the question remains: can the UAE become a true powerhouse in the AI race within the Gulf?

    Yes, the UAE has strong potential to become a powerhouse in the AI race in the Gulf, and arguably, it’s already a regional leader in many aspects of artificial intelligence.

    Current Advantages

    1. Government Commitment
      • The UAE was one of the first countries to appoint a Minister of State for Artificial Intelligence (in 2017).
      • The UAE National AI Strategy 2031 outlines a clear roadmap to become a global AI hub, focusing on sectors like healthcare, transport, education, and government services.
    2. Investment and Infrastructure
      • Significant investments in AI research and infrastructure (e.g., G42, a leading AI and cloud computing company based in Abu Dhabi).
      • Partnerships with global tech companies like Microsoft, IBM, and OpenAI.
    3. Talent and Education
      • The UAE has launched AI-focused academic programs (e.g., the Mohamed bin Zayed University of Artificial Intelligence – MBZUAI), the world’s first graduate-level AI research university.
      • Strong visa and residency incentives for global AI talent.
    4. Startup Ecosystem
      • Supportive environment for AI startups through funding, incubators, and accelerator programs (e.g., Hub71 in Abu Dhabi).
      • Strong emphasis on public-private partnerships.
    5. Data and Digital Infrastructure
      • The UAE has advanced digital infrastructure and open data policies, especially compared to some of its neighbors.

    Strategic frameworks

    One of the UAE’s most compelling advantages in its AI journey is its visionary leadership dedicated to embracing technological advancement. The government’s proactive stance on developing regulatory frameworks and policies conducive to AI adoption fosters an ecosystem where innovation can flourish.

    By balancing regulatory oversight with encouragement for experimentation, the UAE creates a unique environment attractive to AI startups and multinationals alike. These policies not only incentivise foreign investment but also stimulate homegrown technological initiatives.

    Regional competition

    Within the Gulf region, the UAE faces both competition and collaboration dynamics with neighbouring countries such as Saudi Arabia, Qatar, and Bahrain, which are also actively pursuing AI agendas. Saudi Arabia’s Vision 2030 and establishment of the Saudi Data and AI Authority signal a robust competitor with deep pockets and vast market potential.

    Similarly, Qatar’s investment in AI research through institutions like Qatar Computing Research Institute underscores a regional push towards AI innovation.

    In this competitive landscape, the UAE’s advantage lies in its relatively advanced infrastructure, regulatory readiness, and diversified economy. However, sustained leadership will require continuous innovation and regional cooperation to create a Gulf-wide AI ecosystem. This cooperation could enhance data sharing, joint research, and talent exchanges beneficial for all states in the region.

    What could make UAE a powerhouse?

    • Scaling AI applications across public services, smart cities (like Dubai and Abu Dhabi), and industrial sectors.
    • Leading in AI ethics and regulation, setting standards for the region.
    • Exporting AI tech and services to the rest of the MENA region and Africa.
    • Driving innovation in Arabic-language AI models, a relatively underserved segment in global AI.

    Robust investment

    Another critical pillar supporting the UAE’s ambitions in AI is its substantial investment in digital infrastructure. The country has established smart cities such as Masdar City and Dubai Internet City, which serve as testbeds for AI technologies, Internet of Things (IoT), and blockchain applications.

    These smart ecosystems demonstrate how AI integration can optimise urban living through intelligent traffic management, energy efficiency, and enhanced public safety.

    Additionally, the UAE is home to several technology parks and innovation hubs that nurture startups and attract global tech companies, including major players like Microsoft, IBM, and Google. These hubs provide not only physical infrastructure but also access to capital, mentorship, and technical resources necessary for scaling AI applications.

    The government’s commitment to digitisation is further evidenced by initiatives such as the Dubai AI Roadmap and the UAE Strategy for Artificial Intelligence, which is designed to embed AI solutions across both public and private sectors. This alignment of infrastructure with strategy speaks to the UAE’s determination to become an AI powerhouse.

    Human capital and education

    The development of a skilled workforce is fundamental to sustaining any nation’s technological leadership. Recognising this, the UAE has prioritised education and talent development, setting ambitious goals to nurture AI experts, data scientists, and engineers.

    Partnerships with leading global universities and investments in STEM (science, technology, engineering, and mathematics) education form an essential part of this agenda.

    To complement local efforts, the UAE attracts international talent through favourable immigration policies and quality of life incentives. Initiatives are also underway to reskill the existing workforce to adapt to an AI-driven economy, ensuring that the labor market evolves in tandem with technological shifts.

    Nonetheless, despite these initiatives, the UAE faces the challenge of cultivating a large pool of homegrown AI specialists. While expatriate professionals currently dominate the technological sectors, scaling up domestic human capital development remains a long-term endeavour.

    Private sector and innovation culture

    The vibrancy of the private sector is another key determinant of AI leadership. The UAE’s economy features an increasingly diversified mix of tech companies, startups, and venture capitalists who are actively engaged in developing AI solutions across industries such as finance, healthcare, logistics, and retail.

    The government’s encouragement of innovation culture and easing of business regulations have fostered a startup-friendly environment, bolstering the AI ecosystem.

    Furthermore, strategic collaborations between multinational corporations and local enterprises facilitate technology transfer and the localisation of AI technologies. For example, the acceleration of AI in smart finance and electronic government services shows how the private and public sectors work hand-in-hand to embed AI-driven efficiencies.

    However, despite growing momentum, the UAE’s innovation ecosystem still contends with challenges such as limited research output compared to Western tech hubs, occasional dependence on imported technology, and the need for greater risk tolerance among investors.

    Challenges and considerations

    Despite the promising landscape, several challenges could temper the UAE’s aspirations. First, data privacy and cybersecurity concerns remain critical as reliance on AI grows, necessitating robust frameworks to balance innovation with public trust. Second, the ethical implications of AI deployment, including job displacement and social inequalities, require proactive management to maintain societal cohesion.

    Moreover, the rapid pace of technological evolution means that today’s strategies must be adaptable. The UAE must invest continuously in research and development to avoid technological obsolescence and remain at the cutting edge. Finally, geopolitical uncertainties in the Middle East could disrupt investment flows and international collaboration essential for long-term AI growth.

    The UAE possesses many of the requisite components to emerge as a powerhouse in the AI race within the Gulf region. However, achieving and sustaining such status will require addressing challenges related to talent development, innovation culture, governance, and ethical concerns.

    With sustained commitment, prudent policymaking, and regional cooperation, the UAE is well-positioned to transform from an early adopter to a global innovator in AI. Its success will not only reshape its own economy but could also serve as a strategic model for technological advancement across the Gulf, affirming the UAE’s role as a pioneering force in the digital age.

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    UAE launches Arabic language AI model to top the regional race

    • As Saudi Arabia and other regional players intensify their own AI initiatives, the Gulf is poised to become a vibrant hub of innovation, shaping the future of AI with a distinctly Arab perspective.
    • ATRC reports that Falcon Arabic achieves performance levels comparable to models that are up to ten times larger, suggesting a more efficient and optimized approach to AI development.

    The launch of the Falcon Arabic artificial intelligence (AI) model by the United Arab Emirates marks a significant milestone in the regional race to advance AI technologies within the Gulf Cooperation Council (GCC).

    The development underscores the UAE’s strategic ambition to position itself as a global leader in AI, leveraging its considerable financial resources and close technological partnerships, particularly with the United States.

    As one of the world’s major oil exporters, the UAE has been proactive in diversifying its economy through targeted investments in cutting-edge technologies. Over the past several years, it has committed billions of dollars toward developing an AI ecosystem capable of rivaling global powerhouses.

    The collaboration with the United States serves as a cornerstone of this strategy. Notably, during US President Donald Trump’s visit to the UAE, an AI agreement was announced that facilitates Emirati access to advanced AI semiconductors from American technology firms.

    Focus on linguistic authenticity

    The agreement not only exemplifies deepening bilateral ties but also provides the UAE with critical components that underpin next-generation AI systems.

    Falcon Arabic, developed under the auspices of Abu Dhabi’s Advanced Technology Research Council (ATRC), represents a major advancement tailored specifically for the Arabic-speaking world.

    Unlike many AI models that rely on translated datasets, Falcon Arabic harnesses a high-quality, native Arabic dataset to better capture the richness and diversity of the language.

    The focus on linguistic authenticity is fundamental in addressing the nuances, dialects, and cultural contexts unique to the Arab world. Impressively,

    ATRC reports that Falcon Arabic achieves performance levels comparable to models that are up to ten times larger, suggesting a more efficient and optimized approach to AI development.

    The ATRC’s release of Falcon H1 further reinforces the UAE’s commitment to innovation. This model reportedly surpasses competitors from global technology giants such as Meta and Alibaba, while reducing the computational power and specialised expertise traditionally needed to implement advanced AI systems.

    Democratising AI technology

    “Leadership in AI today transcends mere scale; it is about creating powerful, accessible, and universally usable tools. Such a philosophy aligns with the UAE’s broader vision to democratise AI technology and integrate it across various sectors, from government services to industry and education,” Faisal Al Bannai, ATRC’s secretary general, said.

    Parallel to the UAE’s efforts, the Kingdom of Saudi Arabia is advancing its own ambitious AI agenda. During President Trump’s visit, AI emerged as a central theme in Saudi Arabia’s vision to become a regional hub for AI innovation.

    Earlier this month, Saudi Arabia launched a new company dedicated to developing and managing AI technologies, aiming to produce one of the world’s most potent multimodal Arabic large language models.

    This illustrates a competitive yet collaborative environment within the Gulf, where neighbouring countries recognise AI’s transformational potential and strive to capitalise on it.

    Jony Ive to join OpenAI in $6.5b deal to rival Apple

    • OpenAI is positioning itself to enter the competitive hardware arena, seeking to offer new kinds of computing experiences that leverage advanced AI capabilities in unprecedented ways.
    • The combination is poised to deliver a new generation of AI-powered computers that are not only technologically sophisticated but also aesthetically compelling and intuitively designed.
    • Partnership exemplifies how leading companies are converging diverse fields—artificial intelligence, hardware engineering, and industrial design—to shape the future of computing.

    OpenAI, the artificial intelligence powerhouse supported by Microsoft, announced its intent to acquire io, the AI startup founded by Jony Ive, the renowned former design head of Apple, to challenge the iPhone.

    Ive was Apple’s chief designer between 1992 and 2019. He was behind products including the iPhone, Apple Watch and iPad, and was described by Steve Jobs as his “spiritual partner” at the company.

    The acquisition, valued at nearly $6.5 billion in an all−stock transaction, highlights a significant convergence of cutting−edge AI technology with world−class product design expertise.

    OpenAI will pay approximately $5 billion after accounting for its existing stake in io, underscoring a strategic investment that may redefine the evolving landscape of AI-enabled hardware and user experience.

    The relationship between OpenAI and io’s creative collective, LoveFrom, has spanned two years of collaboration, reflecting a shared vision that extends beyond simple research partnerships.

    Physical product innovation

    Ive and OpenAI CEO Sam Altman emphasised that the ambition to develop an entirely new family of products necessitated the formation of a new, integrated entity.

    The integration will see Jony Ive and his team assuming deep design and creative leadership roles within OpenAI and its upcoming operating system, ios, signaling a major expansion of OpenAI’s capabilities beyond software and into physical product innovation.

    “People have an appetite for something new, which is a reflection on a sort of unease with where we currently are,” Ive said.

    This acquisition marks a critical milestone in the pursuit of AI-powered computing devices that blend powerful machine intelligence with thoughtful, human-centered design principles.

    Competitive hardware arena

    The alliance between OpenAI’s cutting-edge technological prowess and Ive’s celebrated design philosophy aims to create novel AI-driven products that transcend traditional notions of computers and user interfaces.

    Altman’s social media commentary underscored this ambition, revealing plans to introduce the first collaborative product from this merger within the next year.

    The significance of this deal extends beyond its financial valuation. By incorporating Jony Ive’s design mastery, OpenAI is positioning itself to enter the competitive hardware arena, seeking to offer new kinds of computing experiences that leverage advanced AI capabilities in unprecedented ways.

    The combination is poised to deliver a new generation of AI-powered computers that are not only technologically sophisticated but also aesthetically compelling and intuitively designed.

    Can AI cut workplace incidents and improve productivity?

    • Technologies once considered futuristic are now the foundation of day-to-day operations across high-risk industries.
    • Safety doesn’t have to slow down progress when AI systems are designed to learn from risks, they empower teams to build faster, work smarter, and prevent problems before they ever occur.

    When it comes to AI in the workplace, most conversations still circle automation, robotics, or fears of job loss. But something quietly revolutionary is happening in the high-risk industries — and the numbers are hard to ignore.

    According to a study by Deloitte, 60 per cent of business owners believe AI significantly boosts productivity, while 42 per cent agree it helps streamline job processes, making operations more efficient and focused.

    But how does the balance work?

    Let’s dig deeper and see what the data says.

    1. Confined Space Monitoring

    ai
    Gary Ng.

    In multiple large-scale projects across sectors like oil & gas, mining, or construction, incorporating an AI-powered Confined Space Monitoring using edge AI devices for on-the-source reporting reduces the time-to-report for safety incidents by 85 per cent — thanks to real-time alerts that reach site supervisors instantly.

    The output here was in the form of projects attaining 30 per cent less unplanned downtime, as crews didn’t have to halt work for manual inspections or investigations.

    2. Fire & smoke detection

    After installing a Vision AI-based fire detection system, one offshore client reported zero false fire alarms in three months, with detection speeds under three seconds. Apart from that fugitive emission that often halt operations when go unnoticed in their initial phases saw a sharp decline.

    The output secured operations with uninterrupted workflow. Workers focused on task — not on false evacuations or system resets.

    3. Fleet management tracking

    On a tunnelling project in Southeast Asia, deployed an AI-powered Fleet Management System that helped project managers predict delays and reallocate resources proactively. With automated route optimisation facilities and 24/7 visibility with GPS tracking, the idling hours and poor driving habits can be noted.

    The output showcased project timelines improved by 21 per cent, and daily reporting time dropped by over 70 per cent.

    4. Behaviour based safety system

    By combining Computer Vision with behaviour based safety system, an early intervention on unsafe worker behaviour such as running or jumping, unauthorized grouping, leaning over machinery, skipping designated pedestrian pathways, or smoking in hazardous areas thereby reducing the total recordable incident rate (TRIR).

    The output indicated up to 90 per cent reduction in workplace injuries, which directly led to lower insurance claims and increased site uptime.

    5. Conversational AI paired with job hazard analysis

    Integration of conversational AI chatbots like viGent with Job Hazard Analysis Software helps in safety instrumented function (SIF) with digitised safety checklists, guiding the teams before every specific task.

    With pre-built JHA templates, teams can quickly break down tasks, assess risks, assign severity levels, and instantly access updated SOPs all through a conversational interface.

    Real-time risk identification, predictive maintenance of equipment and vehicles, incident logging, and hazard trend detection are streamlined with Generative AI, minimising manual inputs and human error.

    The output resulted in safety teams 75 per cent reduction in reporting time, freeing them to focus on real-time supervision, faster decision-making, and proactive risk control, all while keeping operations compliant, standardised, and productive.

    Safer the site, smarter the output

    From confined spaces to control rooms, AI is proving to be more than just a safety net, it’s becoming a strategic enabler of operational excellence. The data points in one direction: fewer incidents, faster reporting, smarter decisions — and ultimately, better business outcomes.

    And this shift isn’t happening in silos. From AI video analytics and behaviour based monitoring to Conversational AI and Job Hazard Analysis, technologies once considered futuristic are now the foundation of day-to-day operations across high-risk industries.

    Safety doesn’t have to slow down progress when AI systems are designed to learn from risks, they empower teams to build faster, work smarter, and prevent problems before they ever occur.

    The bottom line?

    AI is not replacing humans — it’s elevating their roles, improving site visibility, and ensuring every safety measure contributes directly to productivity.

    So, can AI cut incidents and improve productivity?
    The data doesn’t just say yes — it proves it.

    Gary Ng is the CEO and Co-Founder of viActone of Asia’s top Sustainability-focused AI company that provides “Scenario-based Vision Intelligence” solutions for risk prone workplaces.

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