Strong signals from the EU to other regions like Australia last week around building AI driven innovation into industry and science: align data policy, build alliances, get better cohesion amongst existing programs, and generate better speed 'lab-to-market'. The Commision unveiled two complementary AI strategies worth watching. “Apply AI” aims to accelerate adoption across specific sectors including healthcare, pharmaceuticals, energy, mobility, manufacturing, construction, agri-food, defence, communications and culture, (I wonder if that's in order of prioritisation?). They have also signaled the need to do this across the public sector - as well as industry and academia. I think getting governments at all levels fast tracking their own AI adoption, (therefore their knowledge, comfort, and capabilities) is a critical Stage 0. The second strategy is “AI in Science” to push frontier research. Highlights include ~€1B to catalyse deployment, advanced screening centres in healthcare, and sector-tailored agentic AI. On the science side: €600M for compute via (the gargantuan) Horizon Europe Program, a goal to double AI funding above €3B, and €58M for excellence and doctoral networks to attract global talent. Press Release with a more info here https://lnkd.in/e6Yiziv7 My Ask: Recently returned from the UK, I have senior experience to bring to bear in the public/private/academia, startup and scaleup tech innovation space, and I'm open to opportunities - let me know about conversations I should be having. 🙏 Graham #innovation #economnicgrowth #startups #scaleups
EU unveils AI strategies for industry and science, seeking global alliances
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How can Europe and its regions develop, attract and keep the talent shaping its AI future? 💡 🧠 Between 2016 and 2023, AI talent in the EU more than doubled, now representing 0.41% of the workforce. 🎓 The EU already hosts 35% of all AI-related Master’s programmes worldwide, helping shape the next generation of experts. ⚙️ From healthcare and energy to manufacturing and the creative industries, demand for AI skills continues to grow. A new #StepUpStartUps EU report for European Commission highlights AI talent demand and supply trends and how national & EU strategies can work together to build a strong AI talent pipeline. Dive deeper 👉 https://lnkd.in/dZz24fi2 DEEP Ecosystems | EU-Startups | Barrabés.biz | Leibniz-Institut für Raumbezogene Sozialforschung (IRS) | ESNA - Europe Startup Nations Alliance #AI #StartupPolicy #AIForSMEs #EUStartups #DigitalSkills #StepUpStartUps supports the European Commission with evidence-based reports on the key dynamics, challenges and opportunities within Europe's startup ecosystem.
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The frontier of #AI innovation remains firmly in the U.S. This year, 82% of the total $133B in private AI funding went to American companies. Europe and the UK together received under 9%, while China attracted below 4%, according to Dealroom’s State of AI Report 2025. Yet the latest data also shows that AI is globalizing fast. Emerging hubs like Paris, Tel Aviv, and Toronto-Waterloo are advancing AI research, startup creation, and applied innovation, even rivaling the Bay Area in some metrics. 🇫🇷 𝐏𝐚𝐫𝐢𝐬 now leads Europe’s AI scene, home to 500+ AI startups, 150 research centers, and open-source leaders such as Mistral AI and Hugging Face. The Dealroom Global Tech Ecosystem Index ranked the top 20 AI ecosystems worldwide: 🏆 #1 Bay Area 🥈 #2 New York City 🥉 #3 Paris ... followed by LA, Boston, Toronto–Waterloo, London, Tel Aviv, and more across Asia and Europe. 📊 Despite the capital concentration in the U.S., the rise of distributed innovation signals a broader, more collaborative AI future powered by diverse ecosystems and shared knowledge. 🔗 Source: Dealroom.co #AI #TechEcosystem #Innovation #StartupFunding #ArtificialIntelligence
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From Swiss Innovation to Global Impact: The SOPHiA GENETICS Story 💡 https://lnkd.in/dgs8RmC6 As we celebrate 15 years of the Top100 Swiss Startup Award, we spotlight pioneers who turned bold ideas into global impact, like SOPHiA GENETICS. Founded at EPFL, the company is today Nasdaq-listed leader connecting 800+ hospitals in 70 countries through an AI platform that powers 2.2 million patient analyses worldwide. 🗣️ CEO Jurgi Camblong recalls: “From day one, our mission was to connect hospitals through AI, helping clinicians better diagnose and treat patients.” What began in a small EPFL office now enables precision medicine at a global scale, fostering a shift from “stand-alone intelligence” to “collective intelligence.” 🔗 Read the entire interview on our article: https://lnkd.in/dgs8RmC6 #TOP100SSU #SwissStartups #Innovation #Entrepreneurship #StartupEcosystem
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🇺🇸 The USA Is Winning the AI War And It’s Not Even Close Let’s be honest... The world is racing to master Artificial Intelligence but only one country is setting the pace: The United States of America. ⚙️ 1️⃣ AI Startups & Innovation The USA hosts over 50% of the world’s AI unicorns. Silicon Valley, Boston, and Austin are leading global AI hubs. Other regions are fragmented, with smaller, slower-growing ecosystems. 💰 2️⃣ Investment & Funding Power U.S. venture capital firms invested $50B+ in AI startups (2024) alone. The rest of the world combined invested less than $20B. Deep-pocketed investors and strong exit markets give the U.S. a massive advantage. 🧠 3️⃣ Talent & Research The U.S. attracts top AI researchers from across the globe. Elite universities (MIT, Stanford, Carnegie Mellon) drive continuous innovation. Many global researchers migrate to U.S. tech firms for better opportunities — fueling the “AI brain drain.” 🏢 4️⃣ Business Adoption Over 80% of U.S. enterprises now use AI tools in marketing, finance, and operations. Outside the U.S., adoption averages below 45%. American companies are building AI-first cultures, not just experimenting. 🚀 5️⃣ Infrastructure & Ecosystem The U.S. leads in AI infrastructure — advanced cloud systems, chip manufacturing (NVIDIA), and supercomputing. Other nations struggle with cost, policy delays, or limited compute access. 🌎 6️⃣ Policy & Regulation The USA emphasizes innovation-first, regulation-later. Europe and parts of Asia focus on compliance-first, slowing implementation. The result: America innovates faster, the rest debates longer. 💡 Insight: The new global divide isn’t just economic It’s technological. The nations mastering AI today will shape the world economy tomorrow. 🔥Can the rest of the world still catch up or has the USA already secured its AI dominance? Comment your thoughts below 👇 #ArtificialIntelligence #AI #USA #Innovation #TechTrends #FutureOfWork #AIBusiness #Entrepreneurship #StartupsUSA #BusinessGrowth #DigitalTransformation #Technology
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Ohio is betting big on AI — and the numbers tell the story. 💡 52% of tech leaders are bullish on the state’s AI opportunity. 👥 68% of companies are already upskilling their teams. ⚙️ 91% are using AI to streamline operations. 🚀 Top priorities? Responsible adoption, startups, and stronger infrastructure. The message is clear: AI is how Ohio grows today. If you’re an educator, community leader, or organization looking to stay ahead, we’re here to help you learn and lead with confidence. Learn more: https://lnkd.in/eengtVvJ Insights from 600+ Ohio leaders through statewide surveys, roundtables, and the 2024 Ohio AI Summit by OhioX.
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🧠 Here is the #Theorem for building a developed #Al Ecosystem: it relies on two main pillars - public authorities and the private sector: ✅ #Public authorities should adopt a static-based approach - not to make money, but to enable it. Their mission is to collect, structure, and make data accessible to private companies, startups, and industries. By doing so, they create the foundation for innovation and growth. ✅ The #private sector, on the other hand, must embrace the outcome-based approach - to create business, generate value, and compete globally. It's the synergy between these two roles that detines sustainable Al-driven development. 💡 Why this balance matters: Because the ultimate goal is to move toward a #market-based approach, where companies will exchange and monetize data ethically and transparently. This emerging market will be one of the largest and most transformative in economic history, redefining how value is created, shared, and governed in the age of #AI. #Artificiallntelligence #DataStrategy #PublicSector #PrivateSector #AlforBusiness #Innovation #DigitalTransformation Karim Amor Mohammed Khalil Majda Moumni Jaewon Peter Chun Hicham Iraqi Houssaini Ghita Mezzour, PhD
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Interesting post by Nelson Advisors in respond to BoE's comments on the potential AI tech bubble. For healthtech companies in funding mode, that's not noise. It's a strong signal! If the AI tide goes out, investors will look for one thing: evidence over hype. Below is what I think is a set of pragmatic moves to healthtech companies in funding stages, right now. 𝟭. 𝗥𝗲-𝗰𝗲𝗻𝘁𝗿𝗲 𝗼𝗻 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀, 𝗻𝗼𝘁 𝗵𝘆𝗽𝗲: • tighten your unit economics • be explicit what needs to go right (adoption, churn, reimbursement) • de-emphasise "AI first" marketing, unless you have verifiable ROI data 𝟮. 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘀𝗲 𝗲𝗮𝗿𝗹𝘆 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗼𝘃𝗲𝗿 𝗯𝗿𝗼𝗮𝗱 𝗽𝗿𝗼𝗺𝗶𝘀𝗲𝘀 • focus on anchor pilot partners/ reference accounts • collect rigorous outcome and operational metrics • use success in pilots to de-risk expansion 𝟯. 𝗕𝘂𝗶𝗹𝗱 𝘁𝗿𝘂𝘀𝘁, 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗯𝗮𝗿𝗿𝗶𝗲𝗿𝘀 𝘁𝗼 𝗲𝘅𝗶𝘁 • invest in regulatory, data privacy, validation studies now (even before scaling 𝟰. 𝗹𝗲𝗮𝗻 𝗼𝗻 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽𝘀 • partner with hospitals, payers https://lnkd.in/e5MhGww3
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The New Jersey AI Hub, launched by Princeton University, the New Jersey Economic Development Authority (NJEDA), Microsoft, and CoreWeave, is a first-of-its-kind public-private partnership built to position New Jersey as a global leader in the AI economy. Our mission is clear: connect world-class research, industry, startups, investors, and the public sector to translate AI innovation into real-world impact for people, businesses, and communities across the state. What We’re Building 💡 Advancing cutting-edge AI research and translating discoveries into practical solutions. 🏭 Accelerating innovation across sectors such as healthcare, infrastructure, and manufacturing. 👥 Preparing our workforce to thrive in the AI economy through education and training. ⚖️ Ensuring AI is developed and deployed responsibly, ethically, and inclusively. Why New Jersey New Jersey brings together an unparalleled mix of assets: top-tier research universities, a diverse and dynamic industry base, a forward-looking state government, and an entrepreneurial ecosystem ready to scale innovation. The AI Hub is connecting these strengths to shape the next chapter of AI-driven growth. Whether you’re a researcher, entrepreneur, investor, or policymaker, or simply curious about how AI can create opportunity, the New Jersey AI Hub is where collaboration becomes impact. Follow this page to discover programs, partnerships, events, and opportunities to be part of New Jersey's AI future. Let's build it together.
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💭 𝗔𝗜 + 𝗠𝗼𝗯𝗶𝗹𝗶𝘁𝘆: 𝗔 𝗻𝗲𝘄 𝗲𝗺𝗽𝗵𝗮𝘀𝗶𝘀. The 𝗘𝗨 has launched a €1 billion “𝗔𝗽𝗽𝗹𝘆 𝗔𝗜” plan to accelerate adoption across 𝗺𝗼𝗯𝗶𝗹𝗶𝘁𝘆, 𝗲𝗻𝗲𝗿𝗴𝘆, 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝗺𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 and more — aiming to 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝗲𝗻 𝗘𝘂𝗿𝗼𝗽𝗲’𝘀 𝘁𝗲𝗰𝗵 𝘀𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻𝘁𝘆 and 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 under the new 𝗔𝗜 𝗔𝗰𝘁. For this to really make a difference, AI has to move beyond pilots: 🔹 𝗗𝗮𝘁𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗰𝗼𝗻𝗻𝗲𝗰𝘁. 🔹 𝗧𝗲𝗰𝗵 𝘁𝗵𝗮𝘁 𝘀𝗰𝗮𝗹𝗲𝘀. 🔹 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝘁𝗵𝗮𝘁 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘀. It’s encouraging to see Europe take such a bold step — and it will be exciting to watch how ideas translate into outcomes over the next months. At 𝗣𝘂𝗯𝗹𝗶𝗰𝗶𝘀 𝗦𝗮𝗽𝗶𝗲𝗻𝘁, we already see organisations making that shift from exploration to execution — using data and AI not just to optimise operations, but to create connected, measurable impact across their business. 📰 Artcle and image from Reuters: EU launches “Apply AI” plan. 👉 Full article in the comments. #AIExecution #DigitalTransformation #PublicisSapient #EuropeAI
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4moI like to blend fields, the arts, science and tech, creativity and doing is a wonderful way to engage in learning from experience. My interest is to offer a better factual and up-to-date school curriculum, powered by AI, with the ability to personalise for SEN to take the load off teachers in primary schools.