Voir toutes les analyses WisdomTree dans la catégorie Intelligence Artificielle.
Leading AI labs are scaling revenue at an unprecedented pace, but this growth depends on a vast physical infrastructure buildout. From semiconductors and servers to networking, power and data centres, a multi-year investment cycle is reshaping the AI value chain. Discover how the WisdomTree AI Infrastructure UCITS ETF provides exposure to the companies enabling AI at scale.
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Physical AI is beginning to move from concept to commercial deployment, with applications increasingly appearing in factories, transport networks and industrial automation systems. China is playing an important role in this trend, supported by its manufacturing ecosystem, hardware supply chain and growing group of robotics companies. This blog looks at three Chinese companies, UBTech, Pony AI and Shenzhen Dobot, which illustrate different paths to physical AI adoption across humanoid robotics, autonomous mobility and smart manufacturing.
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The Nasdaq-100 recorded its strongest monthly performance in over 23 years, but the underlying story extends beyond the headline index. A range of technology themes, spanning AI, robotics, and quantum computing, are gaining momentum, with several innovative companies and thematic strategies outperforming the Nasdaq-100 in April. This broadening opportunity set highlights how growth is being increasingly driven by diverse and emerging areas across the tech landscape.
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Recent rallies in AMD and Intel have brought CPUs back into the AI infrastructure debate. While GPUs remain the central engine for AI training and inference, the next phase of AI workloads may require much more supporting compute around GPU clusters. Agentic AI involve more planning, routing, tool calls, code execution, verification and data movement, many of which are CPU-intensive tasks. This suggests the AI semiconductor opportunity is broadening beyond GPUs and CPUs could be the next bottleneck of AI Infrastructure. 
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Energy addition remains a core driver, with high conviction in strategic metals and nuclear energy. Geopolitical fragmentation is sustaining defence spending and reshaping critical supply chains....
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Globalement, 2026 ressemble à une année où le cycle reste porteur, mais où le marché devient moins indulgent. Une politique monétaire plus accommodante dans une grande partie du monde, des attentes de bénéfices résilientes et une demande nationale en amélioration dans certaines parties de l’Europe et du Japon soutiennent un scénario constructif. Dans un monde plus mercantiliste, les choix politiques et la géopolitique influencent de plus en plus directement la durabilité des bénéfices, les chaînes d’approvisionnement, le capex et les taux d’actualisation.
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Humanoid robots could become a new source of demand for critical minerals. This blog outlines which minerals matter most for humanoids, why recent AI progress is making large-scale deployment more plausible, and what that could mean for supply chains, project lead times, and geopolitics.
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L’IA entre dans une nouvelle phase, passant des applications numériques à des systèmes physiques qui influencent directement la production, la logistique et la mobilité. L’adoption de l’IA physique...
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Le CES 2026 marque un tournant pour l’IA. L’attention se porte désormais également sur les infrastructures physiques, les systèmes énergétiques, les matériaux et l’automatisation. Le CES met en avant cinq thèmes d’investissement qui façonneront la prochaine phase de l’IA : le développement des infrastructures, l’IA physique et la robotique, l’énergie et le nucléaire, les matériaux critiques et l’informatique quantique. À mesure que l’IA s’intègredans l’économie réelle, ces écosystèmes interconnectés apparaissent comme des catalyseurs clés d’opportunités d’investissement à long terme.
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Q3 earnings across the artificial intelligence (AI) stack highlight ongoing tightness in advanced-node supply, with memory and connectivity emerging as key bottlenecks to deployment. Buyers are increasing capital expenditure into 2026 and locking in compute capacity through multi-year contracts. Meanwhile, cloud growth has remained resilient and early signs of software monetisation have begun to appear. This blog explores what these developments could mean for the next phase of AI investment.
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