Innovation

What are the trends that will shape fintech in 2026? Here is my top 10 list. 𝟭. 𝗦𝘁𝗮𝗯𝗹𝗲𝗰𝗼𝗶𝗻𝘀 as settlement infrastructure Stablecoins will be used at the settlement layer of financial services to bypass cross-border delays, cut-off times, trapped liquidity, and fee opacity in existing rails. They will sit underneath banks and payment schemes for specific B2B, treasury, and platform payout flows rather than replacing them. 𝟮. Commerce and payments become increasingly 𝗮𝗴𝗲𝗻𝘁-𝗱𝗿𝗶𝘃𝗲𝗻 An increasing share of commerce and payment activity will be initiated by software agents outside of pilots, as shared protocols, governance models, and accountability frameworks compete for adoption across the value chain. 𝟯. 𝗙𝗶𝗻𝘁𝗲𝗰𝗵𝘀 reclaim the 𝗯𝗮𝗻𝗸𝗶𝗻𝗴 stack More fintechs will pursue banking licences to gain direct control over deposits, settlement, and economics, primarily to reduce dependence on sponsor banks and external balance sheets rather than to operate as full-service banks. 𝟰. The rise of 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 fintechs A new generation of fintechs is being built with AI embedded into core operations by default, allowing them to operate at lower marginal cost and handle higher volumes vs. legacy operating models. 𝟱. The 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘄𝗮𝗿𝘀 escalate As AI agents become widespread, incumbents and challengers will increasingly compete for control of the agentic layer. Incumbents will embed agents into existing platforms, while challengers will position agents above multiple services to capture distribution. 𝟲. Fintech play moves 𝗳𝗿𝗼𝗺 𝗯𝗿𝗲𝗮𝗱𝘁𝗵 𝘁𝗼 𝗱𝗲𝗽𝘁𝗵 Fintech competition will shift from broad coverage to execution within specific industries. Advantage will come from handling sector-specific cash flows, risk, and workflows, favouring embedded vertical players over horizontal platforms. 𝟳. Increased fintech 𝗰𝗼𝗻𝘀𝗼𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 activity Fintech consolidation will increase as firms acquire capabilities rather than build them internally. Infrastructure providers will add vertical functionality, scaled technology firms will fill capability gaps, and incumbents will consolidate for defense. 𝟴. 𝗙𝗿𝗮𝘂𝗱 shifts to agent manipulation Fraud will increasingly target agent-driven workflows rather than individual accounts or cards. Attackers will influence outcomes through input manipulation, synthetic interactions, and falsified context. 𝟵. Banks 𝘁𝗼𝗸𝗲𝗻𝗶𝘀𝗲𝗱 𝗱𝗲𝗽𝗼𝘀𝗶𝘁𝘀' play Banks will expand focus on tokenised deposits to retain control over settlement and liquidity, particularly in wholesale and treasury contexts. 𝟭𝟬. 𝗧𝗼𝗸𝗲𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 moves to the infrastructure layer Tokenization will advance where it improves core market infrastructure, with adoption concentrated in wholesale uses such as settlement, collateral management, and fund administration. What's missing? Opinions: my own 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐧𝐞𝐰𝐬𝐥𝐞𝐭𝐭𝐞𝐫: https://lnkd.in/dkqhnxdg

A new 20-year analysis of satellite data shows that the Old Continent’s freshwater reserves are shrinking, silently and steadily. Satellites that weigh the Earth by tracking gravitational changes reveal 👉 Northern Europe is getting wetter. 👉 Southern and central Europe are drying fast. And what’s disappearing fastest is the water we don’t see — groundwater, the strategic reserve that keeps our taps running, our crops alive, and our economies functioning. This is #climatechange in real time. No models, no projections — observations from space. Researchers warn that Europe is barreling toward a 2°C world, and the consequences are already here: • Heavier downpours but longer, harsher dry spells • Winter recharge seasons shrinking • More runoff, less infiltration • Deep aquifers declining across the EU • Increasing pressure on public water supply and agriculture Groundwater is the backbone of Europe’s resilience. In 2022 alone: 🔹 62% of all public water supply came from groundwater 🔹 33% of agricultural demand relied on it 🔹 Groundwater abstractions increased by 6% despite lower overall water use Farmers across southern Europe are watching reservoirs drop while fruit and vegetable yields continue to fall. These are the same dynamics long documented across the Global South, now hitting Europe with unprecedented force. The old assumptions no longer hold. Europe is not water-secure. Infrastructure alone will not save us. New reservoirs arriving in 20 years are not a solution for a crisis happening today. We need: ✅ Radical efficiency — cutting leakage, modernising networks, accelerating water-smart design ✅ Water reuse at scale — separating drinking water systems from non-potable recycled streams ✅ Nature-based solutions — restoring wetlands, aquifers, and natural recharge ✅ Smarter climate-informed water governance — using the best science to guide every decision ✅ A mindset shift — rainwater harvesting, circular water systems, and demand-side management must become standard, not exceptional read the article in The Guardian 👇 https://lnkd.in/eeTsyMve

In countries like the Netherlands, trash doesn’t just disappear — it goes underground. How is it organized in your city? Amsterdam, Rotterdam and Utrecht use underground waste containers and smart collection systems where bins are connected to large subterranean units, keeping streets visually clean, reducing odour, and cutting unnecessary truck movements. But this isn’t just a Dutch story. It’s a global shift powered by technology. 📊 How leading cities are transforming waste management: 🇳🇱 Netherlands • Underground containers reduce surface bin clutter by up to 70–80% in dense neighbourhoods • IoT sensors monitor fill levels, enabling 30–40% fewer collection trips 🇰🇷 Songdo, South Korea • Fully pneumatic waste system • Trash travels through underground vacuum tubes at 70 km/h • Eliminated traditional garbage trucks in residential zones • Reduced waste handling costs by up to 50% 🇳🇴 Bergen, Norway • Pneumatic underground network beneath historic districts • Cut CO₂ emissions from waste collection vehicles by up to 35% • Reduced noise pollution in heritage zones 🇸🇬 Singapore • Smart bins + centralised waste chutes in HDBs • Waste-to-energy plants process over 90% of Singapore’s waste, shrinking landfill dependency • Semakau Landfill projected lifespan extended from 2045 to beyond 2035 through tech & efficiency gains 🚀 Technology making this possible: • IoT sensors for real-time bin monitoring • AI-powered route optimisation reducing fuel use • Pneumatic vacuum tube networks • Automated robotics for waste sorting • Waste-to-energy conversion systems ✅ The impact: • Cleaner cities • Fewer pests and odours • Reduced emissions • Lower operating costs • Better citizen experience The future of urban living isn’t just about shiny skyscrapers — it’s about invisible infrastructure working intelligently beneath our feet. Smart cities aren’t just built. They’re engineered to stay clean. #SmartCities #UrbanInnovation #Sustainability #CircularEconomy #CleanTech

Empathy Isn’t Missing — It’s Misframed I’ve watched this video countless times. Every time, I don’t see generosity. I see design. I used to believe people ignore the truth because they don’t care. Now I realize it’s because they don’t see what I see. Empathy isn’t a lack of compassion — it’s a lack of perspective. And perspective can be designed. The words didn’t change the man’s story — they changed our frame of perception. When language shifts from description to contrast, it activates awareness. That’s the mechanism behind empathy — it’s not emotional contagion, it’s cognitive reframing. → We respond to difference, not repetition. → We act when a message bridges our world with someone else’s. → We feel when language turns distance into proximity. Here’s how I try to apply that lesson in my own work: ✅ Reveal contrast, not condition. Don’t describe pain — expose the gap between what is and what could be. ✅ Design for awareness before emotion. Help people notice first; feeling follows naturally. ✅ Make others participants, not observers. Use framing that transfers perspective, not pity. ✅ Use silence strategically. Leave room for the reader to complete the meaning. Because empathy doesn’t start with emotion — it starts with architecture. The right words don’t tell people what to feel. They help them feel what was already true. 💭 The Question 👉 When you communicate — are you trying to make people care, or helping them notice what they’ve been blind to all along? #LeadershipDesign #FramingEffect #CommunicationStrategy #CognitiveEmpathy #BehavioralPsychology #PerceptionDesign Video credits: Dr. Marcell Vollmer

The technologies of the future are created and commercialized in innovation hubs that combine scientific excellence with entrepreneurial ambition. There are thousands of such hubs around the world, and our Global Innovation Index (GII) 2025 seeks to shine a light on those doing well through the GII Ranking of World’s Top 100 Innovation Clusters. For the first time, we have included VC data alongside international patent filings and scientific publications. Adding the VC lens has shifted the top of the table slightly, helping to push China’s Greater Bay Area into number one spot, nudging the Tokyo-Yokohama cluster into second, and lifting Silicon Valley from sixth to third spot this year. Beijing was ranked fourth. Each of those clusters led in a different way. Tokyo-Yokohama was the single biggest source of international patent filings, while the Silicon Valley cluster (around San Jose and San Francisco) attracted more venture capital than anywhere else. Beijing led the world in terms of the number of scientific publications. The Greater Bay Area, which encompasses Shenzhen, Hong Kong and Guangzhou, did not lead in any of the three categories, but its strong showings across the board gave it a balanced profile and put it in first place overall. This cluster ranking, as well as our flagship Global Innovation Index (out on 16 September), is designed to help policymakers, business leaders and researchers better understand the local and global innovation landscape, and to design policies that make innovation ecosystems more vibrant. 33 economies are covered by our list of the top 100 clusters, including Germany (which has seven clusters), India and the United Kingdom (four each) and Canada and the Republic of Korea (which has three, like Japan). Propelled by the new methodology and strong performance in VC deals, Indian clusters have made remarkable advancements, with Bengaluru jumping from 56th to 21st position, Delhi to 26th (compared to 63rd) and Mumbai to 46th (compared to 88th). In addition to the dynamic hubs in China and India, six vibrant innovation hubs from middle-income countries also feature in the top 100: Brazil (São Paulo), Egypt (Cairo – the top-100 cluster in Africa), Iran (Tehran), Malaysia (Kuala Lumpur), Türkiye (Istanbul) and Mexico (Mexico City) – which enters the top 100 this year for the first time and makes up the second innovation cluster within Latin America. Outside the top 100, some of the leading middle-income economy innovation clusters are Ankara (Türkiye), Bangkok (Thailand), Buenos Aires (Argentina), Islamabad and Lahore (Pakistan), and Rio De Janeiro and Porto Alegre (Brazil). These clusters show how the combination of strategic investments coupled with supportive policy frameworks can build thriving ecosystems. More: https://lnkd.in/e882jzRp #WIPO #GlobalInnovationIndex #GII2025

This isn’t a luxury. This is a $200 wheelchair redefining what’s possible. For millions, standing wheelchairs have always been out of reach. Until now. At R2D2, IIT Madras, a team dared to ask: What if mobility wasn’t a privilege, but a right? Their answer is a simple innovation -no Big Tech: A wheelchair that lets you stand—on your terms Ingenious gas-spring technology for seamless movement: -Supports up to 242 pounds -Priced at $200 (when others cost $2,000 or more) But the true breakthrough isn’t just in the engineering. It’s in the lives transformed. → Physical freedom is restored. Stand tall when you choose. Reach the top shelf. Cook your own meals. Keep your body strong and active. → Health is protected. Standing improves circulation. Strengthens bones. Prevents pressure sores. Aids digestion. Reduces heart risks. → Social inclusion becomes reality. Converse at eye level. Join meetings—no barriers. Participate fully in community life. Experience true belonging. Ask yourself: When was the last time you had to look up just to be heard? For millions, that’s every day. This isn’t only about standing. It’s about dignity. It’s about independence. It’s about living fully. And for the first time, it’s within reach for those who need it most. When innovation meets accessibility, lives change. This is technology for humanity. Follow me, Dr. Martha Boeckenfeld for more stories of tech that matters. ♻️ Share with your network to learn more about how simple innovation can change people's live. #TechForGood #Innovation #Healthcare

For your GCC Don’t Hire a Site Leader. Appoint a Head of Engineering or Product. When companies open a new tech hub in London or Toronto, they don’t say, “Let’s hire a Center Head.” They bring in a VP of Engineering, SVP of Product, CTO, or Head of AI—leaders who are expected to drive innovation, shape strategy, and deliver business outcomes. But when it comes to India? We often hear, “Let’s hire a Center Head” or “Site Leader.” That subtle change in title signals a very different intent: A focus on operations, not outcomes. On managing the site, not building the business. It unintentionally lowers expectations—and limits impact. If we want our GCCs to become true innovation engines, we must reframe the roles we hire for. Let’s stop hiring: • Center Heads • Site Leaders • Managing Directors Let’s start appointing: • VP, SVP, or EVP of Engineering or Product • CTO or CIO • Head of AI CoE or Digital Transformation Because when we change the title, we change the mandate. And when we change the mandate, we change the impact. India doesn’t need more site managers. It needs engineering and product leaders—who just happen to sit in India. Zinnov Amita Goyal Karthik Padmanabhan Mohammed Faraz Khan Namita Adavi Hani Mukhey Komal Shah Amaresh N. Saurabh Mehta Sagar Kulkarni Rohit Nair ieswariya

AI is rapidly moving from passive text generators to active decision-makers. To understand where things are headed, it’s important to trace the stages of this evolution. 1. 𝗟𝗟𝗠𝘀: 𝗧𝗵𝗲 𝗘𝗿𝗮 𝗼𝗳 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗙𝗹𝘂𝗲𝗻𝗰𝘆 Large Language Models (LLMs) like GPT-3 and GPT-4 excel at generating human-like text by predicting the next word in a sequence. They can produce coherent and contextually appropriate responses—but their capabilities end there. They don’t retain memory, they don’t take actions, and they don’t understand goals. They are reactive, not proactive. 2. 𝗥𝗔𝗚: 𝗧𝗵𝗲 𝗔𝗴𝗲 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝘅𝘁-𝗔𝘄𝗮𝗿𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 Retrieval-Augmented Generation (RAG) brought a major upgrade by integrating LLMs with external knowledge sources like vector databases or document stores. Now the model could retrieve relevant context and generate more accurate and personalized responses based on that information. This stage introduced the idea of 𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗮𝗰𝗰𝗲𝘀𝘀, but still required orchestration. The system didn’t plan or act—it responded with more relevance. 3. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜: 𝗧𝗼𝘄𝗮𝗿𝗱 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Agentic AI is a fundamentally different paradigm. Here, systems are built to perceive, reason, and act toward goals—often without constant human prompting. An Agentic system includes: • 𝗠𝗲𝗺𝗼𝗿𝘆: to retain and recall information over time. • 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴: to decide what actions to take and in what order. • 𝗧𝗼𝗼𝗹 𝗨𝘀𝗲: to interact with APIs, databases, code, or software systems. • 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆: to loop through perception, decision, and action—iteratively improving performance.    Instead of a single model generating content, we now orchestrate 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗮𝗴𝗲𝗻𝘁𝘀, each responsible for specific tasks, coordinated by a central controller or planner. This is the architecture behind emerging use cases like autonomous coding assistants, intelligent workflow bots, and AI co-pilots that can operate entire systems. 𝗧𝗵𝗲 𝗦𝗵𝗶𝗳𝘁 𝗶𝗻 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 We’re no longer designing prompts. We’re designing 𝗺𝗼𝗱𝘂𝗹𝗮𝗿, 𝗴𝗼𝗮𝗹-𝗱𝗿𝗶𝘃𝗲𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 capable of interacting with the real world. This evolution—LLM → RAG → Agentic AI—marks the transition from 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 to 𝗴𝗼𝗮𝗹-𝗱𝗿𝗶𝘃𝗲𝗻 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲.

What happens when a legacy CPG giant like PepsiCo acquires a fast-growing disruptor like Poppi? It’s a blueprint for the future of FMCG. PepsiCo has spent years evolving its portfolio, shifting toward healthier, functional, and better-for-you options. From acquiring Siete Family Foods to Sabra Dipping Company, and now Poppi, they’re doubling down on what today’s consumers want: ✅ Functional Ingredients: Poppi taps into the gut health boom, projected to reach $72B+ globally by 2032 (Source: Market Research Future® (MRFR)). Consumers aren’t just looking for hydration—they want drinks that boost immunity, digestion, and energy. ✅ Premiumization of Soda: Traditional soda sales have declined by 12% in the last decade, while functional and prebiotic sodas are growing 35% YoY (Source: Beverage Digest). Brands like Poppi prove that consumers will pay a premium for added health benefits. ✅ The Power of Challenger Brands: Nearly 60% of Gen Z & Millennials say they trust emerging brands more than Big CPG (Source: McKinsey & Company). PepsiCo knows the future belongs to brands that feel authentic, mission-driven, and community-led. So, The “Big Food vs. Challenger Brand” battle is over-it’s now about collaboration. Legacy brands need disruptors to stay relevant. Health & wellness aren’t trends-they’re becoming industry standards. If a brand isn’t innovating in functional benefits, it’s already falling behind. The next wave of acquisitions? Expect strategic buys in functional beverages, gut health, and personalized nutrition. This is just the beginning. Are Big CPGs moving fast enough to keep up with evolving consumer demands? #FMCG #PepsiCo #Poppi #GutHealth #ConsumerTrends #MergersAndAcquisitions #FoodAndBeverage

AI holds great potential for the semiconductor industry and will kick-start the next round of innovation for faster, cheaper and more energy-efficient computation – that was my message today at SPIE Advanced Lithography + Patterning. I discussed the potential and the challenges that AI holds for our industry.   The potential is clearly huge. AI is rapidly integrated into applications, and high-performance compute is expected to underpin growth towards $1 trillion of semiconductor sales by 2030. The challenges are around the computing needs of AI models and related energy consumption. The compute workload of training a leading AI model has increased 16x every 2 years in recent years – much faster than the increase in computing power delivered by Moore’s law, which is about 2x every 2 years. The energy needed to train a leading model has not grown so steeply but still rose 10x every 2 years. This computing need has been met by building supercomputers and massive data centers. If you extrapolate these trends, training a leading AI model would need the entire world-wide electricity supply in about 10 years. That’s clearly not realistic, so the trend has to break, by training algorithms becoming more efficient and by chips becoming more efficient. In other words, the needs of AI will stimulate immense innovation in chip design and manufacturing – and the potential value of AI to our society will put urgency and funding behind that drive. As a consequence, chip makers are pulling all levers to accelerate semiconductor scaling. This includes lithographic “2D” scaling: shrinking the dimensions of transistors to pack more into a square millimeter. It will also include “3D” integration, with innovations like backside power delivery, transistor designs like gate-all-around, as well as stacking chips in the package, where holistic lithography will play a critical role to deliver performance requirements. ASML will support these trends through a comprehensive, holistic lithography portfolio. Our 0.33 NA/0.55 NA EUV lithography systems allow chip makers to shrink dimensions at the lowest possible cost on their critical layers, while tightly matched and highly productive DUV systems will continue to reduce cost. More than ever, metrology and inspections tools – whose data is fed into lithography control solutions that keep the patterning process operating within tight specs to deliver the highest possible production yields – will be essential to deliver 2D scaling and 3D integration processes. 3D integration requires wafer-to-wafer bonding, and we have demonstrated the capability to map the stresses and distortions that bonding creates and to compensate for them, reducing overlay errors for post-bonding patterning by 10x or more.   It was a pleasure catching up with the industry’s lithography and patterning experts in San Jose. I’m excited to see our collective innovation power having a go at these challenges. Together, we will push technology forward.