The next transformation of work will not simply be humans versus machines. It will be about how humans and AI agents collaborate, make decisions and create value together. Pascal Bornet's work on Human-Agent Orchestration explores this emerging management discipline. As enterprises introduce autonomous digital workforces, leadership itself will need to evolve. Are organisations preparing their people to manage AI agents, or are they deploying technology faster than they can govern it?

I’m honoured to be recognised as a Thinkers360 Top Voice EMEA 2026, alongside an exceptional community of thought leaders shaping the future of business, technology, innovation and digital transformation. Thank you to the entire @thinkers360 team for this recognition and for building a global platform that celebrates knowledge, expertise and meaningful thought leadership. Congratulations to my fellow honourees: @muddassirism @maxbehar @Ronald_vanLoon @TomRaftery @Eli_Krumova @GordonTredgold @AlKingsley_Edu @david_green_uk @Corix_JC @ygourven @Timothy_Hughes @davefood @BetaMoroney @AkwyZ @verkaufsimpulse @nualawalsh01 @dantibis @lainetom @AlKingsley_Edu @AlizeHofmeester @aarnih @hungryoenophile @peterfgallagher @nick_jga @timcortinovis As AI, blockchain, smart cities and emerging technologies reshape our economies and societies, I believe thought leadership must go beyond influence. It must connect ideas with action, technology with humanity, and innovation with measurable impact. Congratulations to everyone recognised. The future will be shaped not just by the technologies we build, but by the knowledge, collaboration and leadership we bring to them. Full list: thinkers360.com/announcing-t… #Thinkers360 #TopVoices2026 #AI #ThoughtLeadership

What happens when every machine, AI agent and autonomous system can act, transact and make decisions but we still cannot reliably prove who or what is behind it? We are entering an economy of billions of AI agents. NVIDIA OpenShell and the wider shift toward agentic infrastructure show how quickly machines are moving from passive tools to active participants across business, finance, industry and public systems. But autonomy without identity creates a new systemic risk. Every agent increasingly needs a way to prove its identity, permissions, provenance, accountability and level of trust. In the same way humans need passports to move across borders, machines will need digital identity layers to operate safely across the emerging agent economy. This is why I argue that the next AI infrastructure layer will not just be about models, compute and orchestration. It will be about trust, verification and machine identity. Read the full Businessanc analysis: businessabc.net/the-explosio… And explore the AI Agents 101 Atlas businessabc.net/page/ai-agen… #AI #NVIDIA #AIAgents #AgenticAI #OpenShell #DigitalIdentity #AIInfrastructure #MachineIdentity #AISafety #FutureOfAI CC @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Eurostat reports that only 20% of EU enterprises with 10 or more employees used AI in 2025, compared with 13.5% in 2024. The growth is encouraging, but infrastructure alone will not deliver competitiveness. Europe needs AI skills, sovereign computing capabilities and real industrial adoption. Will the next phase of European AI be driven by investment in technology or by the ability to deploy it at scale?

I'm heading to 𝐍𝐕𝐈𝐃𝐈𝐀 𝐆𝐓𝐂 𝐁𝐞𝐫𝐥𝐢𝐧 𝟐𝟎𝟐𝟔, taking place from 20–22 October, where I'll be covering the technologies shaping the next chapter of artificial intelligence. As NVIDIA CEO Jensen Huang emphasises, AI factories are becoming engines of intelligence, productivity and economic value. We are moving from AI models to industrial-scale infrastructure. Over the next three days, I'll be exploring: - 𝐍𝐕𝐈𝐃𝐈𝐀 𝐃𝐒𝐗 𝐀𝐈 𝐅𝐚𝐜𝐭𝐨𝐫𝐲: Integrating compute, networking, power, cooling and software. - 𝐍𝐕𝐈𝐃𝐈𝐀 𝐕𝐞𝐫𝐚 𝐂𝐏𝐔: Powering the next generation of agentic AI. - 𝐕𝐞𝐫𝐚 𝐑𝐮𝐛𝐢𝐧 𝐍𝐕𝐋𝟕𝟐: Transforming token economics and AI efficiency. - 𝐒𝐨𝐯𝐞𝐫𝐞𝐢𝐠𝐧 𝐀𝐈: Europe's growing investment in AI infrastructure and technological independence. - 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐀𝐈 𝐚𝐧𝐝 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐰𝐢𝐧𝐬: Reshaping manufacturing, industries and intelligent infrastructure. I'm also looking forward to conversations with NVIDIA leaders Michael Kagan, Tobias Halloran and Vishal Ganeriwala, exploring accelerated networking, sovereign AI and digital twins. With over 100 sessions and Jensen Huang's keynote on 21 October, GTC Berlin will bring together some of the leading minds shaping the future of AI. The fundamental question is how we translate this unprecedented computing power into measurable economic value while ensuring security, trust and human oversight. Thank you to NVIDIA for inviting me to GTC Berlin. 𝐈𝐟 𝐲𝐨𝐮'𝐫𝐞 𝐚𝐭𝐭𝐞𝐧𝐝𝐢𝐧𝐠, 𝐥𝐞𝐭'𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭! I'll be sharing interviews, highlights and insights throughout the event. #NVIDIAGTC #GTCBerlin #NVIDIA #JensenHuang #AIFactory #AgenticAI #SovereignAI #PhysicalAI #ArtificialIntelligence CC @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Honored to be recognized among great leaders!

The AI Interview: Michael Kagan, CTO at @NVIDIA NVIDIA CTO Michael Kagan explains how AI factories, open models and physical AI are reshaping enterprise infrastructure and the future of computing WRITTEN BY Tom Chapman aimagazine.com/interviews/th…

What happens when factories stop being just automated production systems and start becoming intelligent, adaptive environments capable of planning, simulating and optimising their own operations? We are entering the next industrial revolution driven by Physical AI, digital twins and autonomous AI agents. @Siemens and @NVIDIA are demonstrating this transformation at Siemens' Electronics Factory in Erlangen, Germany. The results are significant: - Up to 85% reduction in engineering effort. - Up to 40% faster time-to-market. - Up to 20% savings in production planning costs. Using NVIDIA Cosmos world models, digital twins and AI agents, manufacturers can now simulate production processes, train inspection systems before physical prototypes exist and evaluate operational decisions in virtual environments. This is a fundamental shift. AI is moving beyond generating content and analysing information. It is becoming part of the infrastructure that designs, manages and transforms our physical economy. But the next challenge is not simply building autonomous factories. It is ensuring these systems are reliable, secure, interoperable and accessible to manufacturers of all sizes. The future of industry will increasingly depend on the convergence of AI, robotics, computing infrastructure and human expertise. Read the full Businessabc analysis: businessabc.net/siemens-and-… #AI #NVIDIA #Siemens #PhysicalAI #IndustrialAI #DigitalTwins #AIAgents #Manufacturing #Industry40 #FutureOfIndustry #GTCBerlin2026 CC @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Can Europe become a global leader in AI by building on what it already does best: engineering, manufacturing and industrial innovation? This is one of the most important questions emerging from NVIDIA GTC Berlin 2026. @NVIDIA founder and CEO Jensen Huang and German Chancellor Friedrich Merz are advancing a new vision for Germany's industrial future. Their cooperation focuses on Physical AI, robotics, AI-powered factories and the development of a stronger European industrial AI ecosystem. Germany's manufacturing economy has decades of engineering expertise, specialised industrial data and a powerful Mittelstand of SMEs. But industrial knowledge alone is no longer enough. The next phase of global competitiveness will depend on how countries combine their industrial capabilities with AI infrastructure, accelerated computing, robotics and autonomous systems. NVIDIA is also planning investments in four German companies: Agile Robots, Avelios Medical, Mirelo and Reflex Aerospace. These developments are part of a wider NVIDIA commitment of nearly $10 billion to Europe's AI ecosystem. For Europe, this goes beyond technology investment. It is about industrial sovereignty, economic resilience, workforce transformation and the ability to build and control critical AI capabilities. The question is whether Europe can transform its industrial heritage into a competitive advantage in the emerging AI economy. Read the full Citiesabc analysis: citiesabc.com/jensen-huang-a… #AI #NVIDIA #JensenHuang #Germany #Europe #IndustrialAI #PhysicalAI #Robotics #AISovereignty #AIInfrastructure #GTCBerlin2026 CC @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

What happens when the next breakthrough in quantum computing comes not from building a larger quantum computer, but from using classical supercomputing to make quantum systems more reliable? @NVIDIA has announced a major research milestone with a record-scale simulation of a 104-qubit fault-tolerant quantum computing system using Europe's JUPITER exascale supercomputer in Germany. The research validates an approach known as magic state cultivation that could reduce physical qubit requirements by up to 90% compared with previous methods. This is significant because one of quantum computing's biggest limitations is not just computational power. It is reliability. Quantum systems are extremely sensitive to noise and errors. Making them fault-tolerant requires sophisticated error correction and substantial computing resources. By using NVIDIA GH200 GPUs and advanced simulation technologies, researchers can investigate complex quantum architectures before building the physical hardware. We are witnessing an important convergence of three technological infrastructures: Artificial Intelligence and accelerated computing. High-performance and exascale supercomputing. Fault-tolerant quantum computing. These technologies are increasingly becoming interconnected foundations of the next computing economy. The implications could eventually extend across scientific discovery, materials research, pharmaceuticals, energy and advanced industrial systems. But quantum computing's future will depend on more than increasing the number of qubits. It will depend on making quantum computation reliable, scalable and economically practical. Read the full IntelligentHQ analysis: intelligenthq.com/nvidia-ach… #AI #NVIDIA #QuantumComputing #QuantumTechnology #Supercomputing #JUPITER #HPC #AcceleratedComputing #FutureOfComputing #GTCBerlin2026 CC @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Behind the scenes at #NVIDIAGTC Berlin 2026! Great to be here in Berlin and have the opportunity to interview Michael Kagan, CTO of @NVIDIA, as we explore the next chapter of AI infrastructure, accelerated computing and the technologies transforming our industries and economies. We are entering a new phase of AI where the focus is shifting from building models to deploying intelligence at industrial scale. AI factories, accelerated networking, sovereign AI, physical AI and digital twins are becoming critical foundations of this transformation. The fundamental question is how we turn this unprecedented computing power into real economic value, while ensuring security, trust and human oversight. Looking forward to Jensen Huang's keynote tomorrow, 21 October, and to discovering NVIDIA's latest innovations shaping the future of AI. More behind-the-scenes interviews, conversations and insights coming from GTC Berlin over the next two days. Thank you to Michael Kagan and the NVIDIA team for the opportunity! #NVIDIAGTC #GTCBerlin #NVIDIA #JensenHuang #MichaelKagan #AI #AIFactory #PhysicalAI #SovereignAI #AIInfrastructure #FutureOfAI CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

The World Economic Forum estimates that 39% of workers' existing skills will be transformed or become outdated by 2030. Pimmi's perspective on learning through failure is particularly relevant. Should resilience and adaptability become core leadership competencies?

“I believe you just have to 𝐥𝐞𝐚𝐫𝐧 𝐭𝐨 𝐟𝐚𝐢𝐥 𝐛𝐞𝐭𝐭𝐞𝐫 and to turn that into something where it's not about experiencing losses. It's about 𝐠𝐚𝐢𝐧𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞, 𝐦𝐨𝐫𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠𝐬 𝐚𝐧𝐝 𝐢𝐧𝐯𝐚𝐫𝐢𝐚𝐛𝐥𝐲 𝐦𝐨𝐫𝐞 𝐭𝐫𝐮𝐭𝐡 𝐚𝐛𝐨𝐮𝐭 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟 𝐢𝐧 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝.” – Pimmi Pande Pimmi Pande, British transformational leadership coach, entrepreneur, journalist and filmmaker, has spent more than 14 years helping executives and professionals overcome self-doubt, develop confidence and embrace authentic leadership. As the founder of Pimmi Pande Coaching and Ascent Leaders, she combines psychology, storytelling and immersive leadership simulations to help people unlock their potential. In my latest podcast episode, we explore radical self-acceptance, leadership, personal transformation, women's empowerment and human agency in the age of AI. “You don't have to own your failures as an apology. You have to just admit the truth that you were already worthy from the get-go. You were born worthy. You have every right to be here.” Pimmi shares her remarkable journey from journalism and documentary filmmaking to executive coaching, including her experience interviewing the 14th Dalai Lama, a defining moment that changed how she understood confidence and authenticity. “That was when I realized that this person is seeing me actually seeing me and I was preventing that because I wasn't seeing myself. I wasn't allowing myself to be me until the 20-minute point.” We also discuss how AI is transforming leadership, identity and human decision-making, and why understanding our own capabilities is increasingly important. “𝐖𝐡𝐚𝐭 𝐢𝐬 𝐀𝐈 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐚𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐦𝐞 𝐭𝐨 𝐝𝐞𝐯𝐞𝐥𝐨𝐩 𝐢𝐧𝐭𝐨? 𝐇𝐨𝐰 𝐜𝐚𝐧 𝐈 𝐫𝐚𝐢𝐬𝐞 𝐭𝐡𝐞 𝐛𝐚𝐫 𝐟𝐨𝐫 𝐦𝐲𝐬𝐞𝐥𝐟? 𝐈𝐬 𝐭𝐡𝐢𝐬 𝐫𝐞𝐚𝐥𝐥𝐲 𝐭𝐡𝐞 𝐞𝐧𝐝 𝐟𝐨𝐫 𝐦𝐞 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐣𝐨𝐛 𝐈'𝐯𝐞 𝐛𝐞𝐞𝐧 𝐢𝐧 𝐟𝐨𝐫 𝟒𝟎 𝐲𝐞𝐚𝐫𝐬 𝐰𝐡𝐢𝐥𝐬𝐭 𝐈'𝐯𝐞 𝐛𝐞𝐞𝐧 𝐬𝐞𝐜𝐫𝐞𝐭𝐥𝐲 𝐡𝐨𝐩𝐢𝐧𝐠 𝐭𝐡𝐚𝐭 𝐈 𝐜𝐨𝐮𝐥𝐝 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐛𝐮𝐭𝐭𝐞𝐫𝐟𝐥𝐲 𝐈 𝐚𝐥𝐰𝐚𝐲𝐬 𝐰𝐚𝐧𝐭𝐞𝐝 𝐭𝐨 𝐛𝐞?” “𝐈'𝐦 𝐬𝐭𝐢𝐥𝐥 𝐥𝐚𝐫𝐠𝐞𝐥𝐲 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐨𝐧 𝐭𝐡𝐞 𝐡𝐮𝐦𝐚𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐡𝐮𝐦𝐚𝐧 𝐚𝐠𝐞𝐧𝐜𝐲 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐈 𝐚𝐠𝐞 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐈 𝐭𝐡𝐢𝐧𝐤 𝐭𝐡𝐚𝐭 𝐭𝐡𝐚𝐭'𝐬 𝐭𝐡𝐞 𝐭𝐡𝐚𝐭'𝐬 𝐭𝐡𝐞 𝐟𝐨𝐫𝐠𝐨𝐭𝐭𝐞𝐧 𝐩𝐢𝐞𝐜𝐞 𝐭𝐡𝐚𝐭 𝐦𝐚𝐧𝐲 𝐩𝐞𝐨𝐩𝐥𝐞 𝐚𝐫𝐞 𝐟𝐨𝐫𝐠𝐞𝐭𝐭𝐢𝐧𝐠.” As G100 London Chair for Coaching and Training, Pimmi also shares her perspective on women's leadership, gender equity and the importance of making space for authentic voices. “𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐢𝐬 𝐯𝐞𝐫𝐲 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐡𝐞𝐫𝐞. 𝐍𝐨𝐭 𝐞𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐢𝐭𝐲, 𝐧𝐨𝐭 𝐭𝐫𝐢𝐛𝐚𝐥𝐢𝐬𝐦.” Watch the full interview: youtu.be/rGWE7hkSSN8 #Leadership #ExecutiveCoaching #ArtificialIntelligence #WomenInLeadership #HumanAgency #AuthenticLeadership #DinisGuarda CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

“Long before the AI models emerge, the infrastructure has to exist.” — @JensenHuang Just as electricity needed grids and the internet needed networks, AI needs computing infrastructure, energy and trusted ecosystems. Are we investing enough in the foundations of the AI economy?

Live from #NVIDIAGTC Berlin 2026. Jensen Huang presenting NVIDIA's vision of one CUDA architecture serving multiple markets and industries. it illustrates NVIDIA's full-stack AI factory ecosystem, connecting cloud service providers (AWS, Google Cloud, Microsoft Azure), AI labs (OpenAI, Anthropic, Google Gemini), AI-native companies, startups, hardware manufacturers, and enterprises across sectors including healthcare, energy, manufacturing and financial services. A powerful illustration of how AI infrastructure extends far beyond individual models, bringing together computing, hardware, software and an increasingly diverse ecosystem of partners. How do we translate this computing power into real economic and industrial value? #NVIDIA #GTCBerlin #AI #CUDA CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Live from #NVIDIAGTC Berlin 2026. @JensenHuang highlighting the rapid growth of agentic AI and what it means for the next generation of AI infrastructure. According to OpenRouter data presented during the keynote, AI agents are consuming 34x more tokens than at the start of February 2026, reaching 132.6 trillion weekly tokens in early October. As Jensen's second slide illustrates: "AI Factories Produce Intelligence. Agents Put Intelligence to Work." AI agents bring together models, knowledge, tools and execution environments to perform increasingly complex tasks, generating demand for more computing power and intelligence. We are moving beyond AI models that simply respond to questions towards systems that can execute workflows and deliver outcomes. The real challenge is turning this growing intelligence into measurable productivity and economic value. #NVIDIA #GTCBerlin #AgenticAI CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

Live from #NVIDIAGTC Berlin 2026. Jensen Huang highlighting NVIDIA OpenShell and its growing ecosystem of over 100 partners advancing AI agent safety. NVIDIA OpenShell is an open-source runtime designed to help AI agents operate within secure, isolated environments, with controls over what they can access and execute. The ecosystem includes major technology and enterprise players such as @Microsoft , @googlecloud , @awscloud , @OpenAI , @AnthropicAI , @Cisco , @CrowdStrike , @IBM , @Meta , @SAP and @ServiceNow . As AI agents move beyond generating content to executing tasks, accessing enterprise systems and taking autonomous actions, security, governance and accountability become critical. The next phase of agentic AI is not just about building more powerful agents. It is about ensuring they can operate safely, securely and at enterprise scale. Who controls what an AI agent is allowed to do? #NVIDIA #GTCBerlin #OpenShell #AgenticAI #AISecurity CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends

Live from #NVIDIAGTC Berlin 2026. @JensenHuang presenting NVIDIA Isaac, the company's platform for advancing physical AI and robotics, bringing intelligence from digital environments into the physical world. The ecosystem brings together NVIDIA's robotics technologies, including Isaac OS, Jetson Thor onboard computing and the Halos Safety OS, alongside tools such as GR00T, Omniverse and Isaac Lab. This also highlights a growing network of robotics companies, model builders and industrial partners, including ABB Robotics, FANUC, KUKA, Siemens and Yaskawa. We are witnessing the foundations of a new industry, where AI, simulation, accelerated computing and robotics converge to create increasingly intelligent machines!! The big question is how quickly physical AI will move from research and demonstrations into factories, logistics and everyday operations. #NVIDIA #GTCBerlin #PhysicalAI #Robotics #Isaac CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

The future of AI computing is not just in massive data centres. It is also moving to our desks. Here at #NVIDIAGTC Berlin 2026, NVIDIA RTX Spark highlights an important shift towards powerful, compact AI computing that brings advanced capabilities closer to developers, researchers and businesses. As AI models become more capable and demanding, local AI infrastructure will play an increasingly important role in reducing cloud dependency, improving data control and enabling faster experimentation. We are entering an era where AI computing becomes more distributed, accessible and integrated into everyday workflows. #NVIDIA #GTCBerlin #AIComputing #rtxxdm CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

What happens when AI infrastructure scales from thousands of GPUs to nearly a million? @googlecloud and @nvidia are preparing for the next phase of AI factories. Google Cloud’s Vera Rubin-powered A5X infrastructure is scheduled for general availability in November 2026, with plans to expand into Europe and potentially scale to 960,000 Rubin GPUs across multiple sites. This is not simply about building larger clusters. The infrastructure is being designed for the workloads now shaping the AI economy: agentic AI, reinforcement learning, enterprise automation and increasingly complex inference. Early use cases already include David Silver’s Ineffable Intelligence and WPP’s agentic creative workflows. The bigger question is how we translate this extraordinary computing scale into measurable economic value, while addressing power, cooling, security, governance and Europe’s continuing challenge around technological sovereignty. The AI race is increasingly becoming an AI infrastructure race. intelligenthq.com/google-clo… #NVIDIA #GoogleCloud #VeraRubin #AI #ArtificialIntelligence #AIInfrastructure #AgenticAI #AIFactory #GTCBerlin CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise @MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara