Helsing, a German defense technology startup founded in 2021, is leading a paradigm shift in Europe's defense industry by applying artificial intelligence and software-defined approaches to military operations, mirroring the model established by U.S. companies like Anduril and Palantir. Now employing approximately 1,300 people with offices across Munich, Berlin, London, Paris, and other European cities, Helsing differentiates itself through advanced AI capabilities that enable rapid reconnaissance and strike cycle operations. The company's primary strength lies in building near-real-time situational awareness systems that integrate both proprietary and third-party sensors, presenting actionable intelligence to operators who maintain decision-making authority throughout the targeting process. According to Frank Dirksen, Helsing's chief commercial officer, the company's competitive advantage stems from organizational agility and speed of response to market demands—capabilities that traditional defense contractors struggle to match due to entrenched internal processes. Drawing on operational experience in Ukraine and collaboration with the Bundeswehr, Helsing demonstrates how defense-tech companies can deliver faster innovation cycles than established primes, fundamentally reshaping how European defense industries develop capabilities, set priorities, and partner with armed forces.

State Street Global Advisors examines China's artificial intelligence development trajectory beyond DeepSeek, focusing on anticipated model releases expected throughout 2026. The analysis, prepared by researchers Ninghui Liu, Anqi Dong, and Alvin Lau, addresses the broader competitive landscape in AI innovation as Chinese technology companies accelerate their development pipelines. The document explores how multiple Chinese firms are positioning themselves to launch advanced AI models, potentially reshaping the global technology sector dynamics. This matter holds significant importance for institutional investors monitoring geopolitical technology competition and market implications. The communication emphasizes that technology sector investments, particularly in AI-focused companies, carry elevated volatility and capital loss risks due to rapid obsolescence, intense competition for resources and talent, and intellectual property vulnerabilities. The analysis warns that narrowly focused technology investments tend to experience greater price fluctuations than diversified portfolios. As a marketing communication for professional investors, the material does not constitute investment advice and readers are advised to consult financial advisors regarding their specific investment strategies and objectives.

The commercial space industry is undergoing a fundamental transformation, shifting from government-funded exploration toward practical satellite-based services for communications, transportation, agriculture, and industrial operations. Rather than focusing on astronauts and distant planets, leading companies increasingly provide recurring revenue through infrastructure and services. This evolution is attracting alternative investors through platforms like Pleasr, who recognize that economic value derives from ordinary satellite applications rather than spectacular launches. However, capturing this opportunity requires understanding the complex value chain connecting satellite operators, infrastructure providers, software developers, and end customers. Critically, satellite value is realized not in orbit but through ground-based software and business operations. A logistics company might use positioning data to optimize delivery routes, while agricultural businesses combine satellite observations with weather data for crop monitoring. This distinction expands the investment landscape significantly—companies need not manufacture spacecraft to participate in the space economy. Instead, value accumulates across antenna developers, data processors, and application builders serving specific industries. The market therefore extends well beyond traditional aerospace manufacturers to businesses offering seemingly ordinary products that integrate satellite capabilities.

Amazon has just introduced two new ambient AI devices under its Bee brand. The concept is pretty simple. You wear a small device on your wrist, clip it to your clothes, or attach it to your smartphone, and it listens to your conversations so you don’t forget important things. That barbecue you promised your friends next Saturday, the restaurant your wife mentioned three weeks ago, the appointment you made with your doctor, or that bloody report you promised your boss you would send on Friday, which you completely forgot about five minutes after the meeting. Amazon wants to remember those things for you.

Alors que le débat sur l'efficacité des aides publiques à l'innovation ressurgit à chaque discussion budgétaire, une note du Conseil d'analyse économique apporte pour la première fois une évaluation causale rigoureuse des appels à projets de France 2030 et des Programmes d'investissements d'avenir. En comparant les entreprises lauréates à des candidates non retenues, aux profils comparables, les auteurs montrent que ces aides produisent des effets réels sur l'emploi, la valeur ajoutée et la recherche, et que l'État en récupère plus qu'il n'en a dépensé en trois ans. Antonin Bergeaud, l'un des quatre auteurs de cette note, en détaille pour Atlantico la méthode, les résultats et les recommandations, notamment une réforme du crédit d'impôt recherche (CIR) qui ne manquera pas de faire débat.

Ukraine's full-scale war has transformed the country into an unprecedented testing ground for autonomous systems and artificial intelligence technologies, with potential implications for the global defense market. Ukrainian unmanned systems generate over 50,000 video streams monthly, providing vast datasets to train AI models in real combat conditions. Avengers, a Ukrainian AI-powered computer vision platform integrated with the DELTA digital system, demonstrates this progress by identifying approximately 70% of enemy equipment in video streams and detecting individual objects within 2.2 seconds. To institutionalize rapid innovation, Ukraine's Ministry of Defense launched the Brave1 Dataroom in 2026, a secure environment for training and testing military AI models on real-world data. The Iron Range testing facility processed nearly 750 applications and conducted over 550 tests in its first year. Ukraine's technological advantage stems from exceptionally compressed development cycles, enabling direct feedback from service members and swift technology adaptation. The continuous arms race with Russia forces constant software and algorithm updates through cycles of adaptation and counter-adaptation. This breakthrough builds upon Ukraine's substantial pre-2022 IT foundation of approximately 300,000 professionals and over 2,000 technology companies, positioning the nation as a critical innovator in military AI development.

Canada's relationship with the United States reveals critical vulnerabilities inherent in deep economic and security integration with a vastly more powerful neighbor. Despite decades of integration generating extraordinary prosperity, Canada has become increasingly exposed to American leverage as key production capabilities, infrastructure, and regulatory authority have shifted across the border. Throughout its history, Washington has repeatedly threatened Canadian territory, restricted market access, imposed tariffs on steel and aluminum, and asserted extraterritorial jurisdiction over Canadian policy. The Trump administration has intensified this dynamic by conditioning privileged access to American markets and technology on strategic alignment with U.S. priorities. Canada's unique vulnerability is compounded by American ownership of critical technologies fundamental to national security and economic competitiveness. Beyond traditional economic ties, the United States now wields unprecedented power through control of emerging technological infrastructure including data architectures, financial payment systems, digital platforms, and artificial intelligence systems. This network power, recognized since the Obama administration as a transformative source of geopolitical influence, offers the United States capacity for potential weaponization. Canada's historical experience demonstrates how evolving American power will likely shape relationships with other allies as control over technological infrastructure becomes increasingly central to statecraft.

Over three decades, global trade integration prioritized cost efficiency over resilience, creating fragile supply chains exposed by geopolitical tensions, the pandemic, and the Ukraine conflict. The prevailing logic has reversed: nations now pursue reshoring, friendshoring, and strategic inventory buildup. This structural reconfiguration, termed deglobalization or regionalization, is fundamentally reshaping trade and financial flows with implications extending across inflation, productivity, and capital allocation for at least a decade. The post-1990s globalization model—characterized by free movement of goods, capital, and people—is yielding to a new trade order defined by bloc fragmentation, security-driven economic decisions, and politicized commerce. While global trade remains substantial at 59 percent of world GDP in 2023, it has plateaued since 2008 after three decades of continuous growth. Key indicators illustrate this shift: foreign direct investment into China collapsed from $344 billion in 2021 to $33 billion in 2023, marking a 30-year low, while trade restrictions recorded by Global Trade Alert surged fivefold between 2017 and 2024. Rather than economic closure, global commerce is reorganizing along geopolitical alignments, fundamentally reshaping macroeconomic dynamics and financial markets.

Telcos have spent enormous effort improving customer service, yet something as simple as broken roaming, a billing error, or an eSIM problem can still turn into a nightmare. Customers no longer compare their telco with another telco, but they compare their experience with Amazon, Apple, Uber, their bank, and every other digital service they use every day. Against that benchmark, telecom has a problem.

En France, l’innovation est appréhendée comme un véritable continuum allant de la recherche fondamentale à la mise en œuvre industrielle et la commercialisation, en passant par la coopération technologique entre sciences et industrie. La coopération dans le domaine de la recherche scientifique et technologique joue un rôle essentiel dans la relation franco-chinoise. Depuis 1978, à travers l’accord bilatéral de coopération scientifique et technologique, renforcé en 2013, les deux pays reconnaissent l’importance de la recherche et ont créé de nombreuses structures conjointes de recherche, des réseaux de recherche et des structures de dialogue pour la coopération industrielle. Parallèlement, les entreprises françaises, sont de plus en plus nombreuses à créer des structures de R&D au cœur de l’écosystème chinois. La diversité des actions menées par ces entreprises (recherche fondamentale, adaptation ou développement de produits spécifiques au marché local, innovation) s’inscrit dans une vision commune d’assurer le développement de coopérations bénéfiques aux deux parties.

Alchimer, créée en août 2001, est un essaimage du laboratoire de chimie des surfaces et des interfaces du CEA. La société est spécialisée dans le dépôt de films de faible ou très faible épaisseur (jusqu’à quelques nanomètres) pour la micro-électronique de production de la nouvelle génération de micro-processeur (technologie 65 nm) et la bio-médecine.

Sorry to break it to you, but I think we have become a little too obsessed with keeping humans in the loop. Every discussion about autonomous AI eventually reaches the reassuring conclusion that humans will always supervise the important decisions. It sounds responsible, but I suspect we use human supervision to compensate for systems not properly designed for autonomy. My research in AI suggests that humans should increasingly sit at governance, defining objectives, permissions, risks, and operating limits. They should intervene when decisions genuinely exceed the authority already delegated. But requiring human approval during routine execution makes little technical sense, and in customer care and sales, I would argue it can actually make the experience worse.

Beijing is steadily reducing its dependence on foreign suppliers across the broader chip supply chain. That progress is uneven, and some critical gaps will remain for years. Still, the direction is clear. China is building domestic capabilities in the equipment, materials, components and manufacturing processes needed to support a far more self-sufficient semiconductor ecosystem.  Missing that key point could become a major strategic setback for the Western tech ecosystem Our review at Sinolytics examined 20 enabling technologies across the semiconductor supply chain. Three years ago, roughly 60 percent of those technologies were bottlenecks, meaning China lacked substantial domestic capabilities. Today, that share has fallen to about 40 percent. If current trends continue, it could decline to roughly 15 percent within the next three years. The figures are estimates rather than guarantees, but they show how quickly the industrial base is changing.

Dix laboratoires internationaux s'associent pour tenter de modéliser le fonctionnement du cerveau humain grâce à l'intelligence artificielle. Financé à hauteur de 15 millions de dollars par Meta, ce vaste projet prévoit de collecter 15 000 heures d'activité cérébrale, avec l'espoir de faire progresser le diagnostic et le traitement des maladies neurologiques.

Japan is fundamentally reshaping its space strategy by transitioning from government-led research missions to building a commercial space economy. The cornerstone of this transformation is the ¥1 trillion Space Strategy Fund, a ten-year programme established in 2024 that positions JAXA as a major technology-funding agency supporting private companies, start-ups and research institutions. The initiative aims to expand Japan's domestic space market from approximately ¥4 trillion to ¥8 trillion by the early 2030s. Rather than financing isolated projects, the programme cultivates an integrated industrial ecosystem spanning launch systems, satellite constellations, communications, Earth observation and advanced technologies. Strategic investments include small synthetic-aperture-radar satellites, optical communications systems and high-resolution Earth observation platforms. The economic value extends beyond hardware to encompass a broader data economy, with satellites generating commercial applications in agriculture, logistics, insurance, disaster management and infrastructure monitoring. Japan is already demonstrating practical success, with the Japan Meteorological Agency operationalising data from the IBUKI-GW satellite in September 2026 for commercial applications including retail demand forecasting. By developing competitive satellite platforms and monetising the services and information they generate, Japanese companies position themselves to capture significant international market opportunities.

Axelera AI, a European leader in AI acceleration hardware, announced the launch of its Europa architecture, a next-generation AI Processing Unit designed to extend edge-computing advantages to demanding enterprise and data center workloads. The architecture enables organizations to run production AI on controlled infrastructure while addressing rising cloud costs and power constraints. Europa delivers up to 6x more tokens per second per watt than GPU-based solutions, offering superior energy efficiency for inference workloads, which represent the bulk of AI compute demands. The company has established partnerships with Dell and Supermicro for validated systems and maintains a sales pipeline exceeding $1.5 billion, with deployments across more than 600 global customers in defense, robotics, drones, retail, and security sectors. Europa particularly addresses Physical AI applications and regulated industries including financial services, healthcare, and government, where data sovereignty and compliance requirements necessitate on-premises deployment. Dell Technologies collaborates with Axelera and systems integrator E4 to support EU AI Factories in Italy and Luxembourg, emphasizing how the solution provides performance, control, and sovereignty while reducing infrastructure costs and operational constraints inherent to cloud-dependent AI deployment models.

History demonstrates that nations adopting military technologies rapidly gain strategic advantages, as evidenced by drone deployment in Russia's Ukraine conflict. Artificial intelligence represents the next transformative transition, yet Europe risks falling behind despite its strategic autonomy ambitions. A new category of AI-focused defence firms, termed "neo-primes," has emerged to provide services in intelligence, targeting, command and control, and logistics—contrasting with traditional large defence contractors. The United States leads this sector with successful companies like Palantir and Anduril, creating European security concerns. The Dutch State Secretary for Defence has called for a Palantir alternative, while UK parliamentary reports identify foreign technology dependence as strategically unacceptable. Restrictions imposed in June 2026 on foreign access to advanced US AI models, including Anthropic's Claude Mythos 5 and Fable 5, highlighted how frontier AI capabilities face US regulatory control, constituting potential vulnerability for Europe. The Draghi Report identified the technology sector's role in Europe's productivity gap with China and the US. Technological sovereignty now requires developing indigenous neo-primes capable of scaling into credible armed forces partners. Europe must establish an independent AI technological foundation across the three-layer stack: infrastructure and data, foundation and specialized models, and applications.

The European Union has launched a comprehensive Tech Sovereignty Package designed to strengthen European technological independence and competitiveness. The package encompasses two legislative proposals—the Chips Act 2.0 and the Cloud and AI Development Act (CADA)—alongside two strategic documents addressing open-source development and AI implementation in the energy sector. Currently under review by the European Parliament and Council, final approval is not anticipated before late 2027. Building on the original 2023 Chips Act, which mobilized over €52 billion in investment, Chips Act 2.0 seeks to further incentivize private investment by streamlining permitting procedures and improving access to energy, land, and financing. The CADA proposal tackles barriers to scaling European cloud and computing capacity through three strategic pillars, implementing reciprocity requirements for non-EU providers participating in EU procurement. Recognizing that data centers consume 2.5 percent of EU electricity—reaching 20 percent in major hubs like Ireland—the Strategic Roadmap for Digitalisation and AI in Energy aims to deploy sovereign AI solutions for critical decarbonization objectives, including electricity grid optimization. This initiative reflects the EU's commitment to reducing dependency on external technology providers while maintaining leadership in semiconductor manufacturing, exemplified by companies like ASML and research centers such as Belgium's IMEC.

Every bathroom visit, decoded automatically - no wearable, no manual logging, no routine to change.

Entre les startups et les grands groupes, c’est une histoire d’amour qui peine à se concrétiser. Les deux camps se tournent autour, discutent, mais ça finit encore trop rarement en union. Pourtant, les jeunes pousses ne cessent de clamer haut et fort qu’elles ont besoin des grandes entreprises pour grandir, tandis que ces dernières assurent voir dans les startups un réservoir d’innovations pour accélérer leur transformation numérique. Si les intérêts semblent alignés sur le papier, la réalité est hélas plus nuancée.