The path to Net Zero goes thru Energy Transition. AI and Energy Transition are intertwined in many ways. We are already living in an AI world. From curated playlists on our favorite music apps, to AI umpires in sports to self-driving cars, we experience the fingerprints of AI every day in different aspects of our lives. Similarly, we’re also seeing enterprises around the world embrace an AI-first approach, and the tangible results of that shift in streamlined operations, faster innovation and time to market, reduced costs and more. The impact reverberates across industries, from healthcare to manufacturing to aviation. But here’s the catch: all this AI – along with our growing cities and towns – needs energy to power it. So now more than ever, we need to focus our efforts on scaling up renewable and non-carbon sources of energy and transitioning to a more efficient grid. Could AI hold the key to navigating the triple challenges of energy demand, energy affordability, and sustainability? I believe that it is. According to reports, AI has the potential to mitigate the emission of global greenhouse gases by 5% – 10% by 2030. For instance, we could use it to accurately forecast energy production from renewable sources and mitigate wasteful consumption and grid instability. It can also help to transform the energy efficiency of other carbon-intensive industries, such as real estate and construction, where it can be used to model buildings to predict energy use and optimize energy consumption; or in manufacturing, where it can improve efficiency through predictive maintenance; or even agriculture, where it can be applied to predict crop yields and manage resources. Already, we’re using AI to help with site selection for carbon capture, and enhance the battery life of EVs, and to reduce waste and optimize resource usage in the supply chain. And we’re only beginning to scratch the surface of what we can do when we have the insights and information we need to predict, plan, and implement. That’s why I am so thrilled to be here at Riyadh, Saudi Arabia, where Infosys is a Gold Sponsor for the LEAP Deep Fest event. I will be sharing my views from the main stage on how we are using AI to make strides towards Net Zero. The event brings together the brightest minds in AI and emerging technologies for vital conversations and interactive demos. The next four days will also give us opportunities to learn and explore new technologies and solutions to emerging problems. We need #EnergyTransitionNow if we are to reverse the effect of climate change on the planet, and pave the way for a brighter, greener future for us all. And with AI at the heart of our actions, and the brightest minds in the world working together in unison to change how we do things from the inside out, I am sure that we will be successful. #LEAP2025 #InfosysAtLEAP2025 #NavigateYourNext
Ashiss Dash’s Post
More Relevant Posts
-
🌱📡 AI Meets Green Energy: The Billion-Dollar Quest to Power the Future (Without Melting the Planet) No major clean energy bombshells in the past 48 hours? True. But the global clean-tech scene is anything but quiet — it’s practically humming with $100 billion data centres, AI-powered energy-saving tricks, and a whole lot of solar panels. Here’s what’s happening behind the scenes while we all sip our oat lattes: 🧠 AI and Green Energy Are Officially Dating From San Diego to Dar es Salaam, major conferences are drawing the blueprints for a future where AI isn’t just making better cat memes — it’s helping balance power grids, save water, and manage the complex dance of renewables. AI is becoming the secret sauce in clean energy, predicting usage, managing batteries, and making sure those wind turbines spin when we need them most. 🌍 Big Tech Is Going Big Green Microsoft, Google, Meta, Amazon, and Tencent are throwing billions (yes, with a B) into next-gen data centres — think renewable-powered, geothermal-cooled, AI-optimised digital fortresses. Oracle is building a $100B AI campus in Texas (possibly visible from space), and Google’s letting utilities remotely dial down its AI data centres when the grid’s under strain. Smart move, considering how power-hungry AI has gotten. 🇦🇺 Australia’s in the Game, Quietly AWS has already sunk $13B into local data centres in Sydney and Melbourne with green intentions, but Queensland’s been a bit quiet lately. (Not asleep, just perhaps working on something behind the scenes?) With all this global momentum, we’ve got a golden opportunity to lead — or at least not get left behind. 📈 Meanwhile in Emerging Markets… Vietnam, Thailand, and India are greening up fast, using policy and investment incentives to attract hyperscale data centres powered by renewables. These are the dragon economies to watch if you're looking for where the next wave of green tech growth might hit. 💡 The Big Picture? AI is energy-hungry. But it’s also part of the solution. The real challenge — and opportunity — is making sure this powerful tech helps us accelerate the energy transition, not burn through the planet’s carbon budget faster than you can say “ChatGPT.” 👀 So here’s the question: As AI reshapes the global energy game, will Australia — particularly Queensland — ride the clean wave or just watch it roll by? If you’re a policymaker, investor, or sustainability leader, now’s the time to lean in. The world is building a net-zero digital future — and the blueprint is being drawn right now. 🔋 Thoughts? Ideas? Know a green data centre project flying under the radar? I’m all ears. Let’s connect and keep this conversation going.
To view or add a comment, sign in
-
The AI Paradox: Deflation in Innovation, Inflation in Energy – And a Path Forward 🌐 As AI reshapes our world, it's a tale of two forces: deflationary winds accelerating productivity and inflationary pressures straining our grids. Take the map below – a stark visualization of U.S. electricity price surges from 2020 to 2025. In regions like the Northeast and California, residential rates have climbed over 100% in spots, driven by the voracious energy demands of data centers powering the AI boom. 📈 Yet, AI isn't all headwinds. On the flip side, it's slashing costs elsewhere: Software development tools like code-generating AI have reduced engineering hours by up to 30-50%, democratizing app creation for startups and enterprises alike. Content and design: Generative AI is compressing creative workflows, cutting marketing production costs by 40% or more without sacrificing quality. 📉 The rub? AI's energy footprint is ballooning – global data centers could consume as much power as Japan by 2030. This isn't just a U.S. story; it's global. 🌱 Enter renewables: the antidote to this inflation. At Hyper Partners, we're channeling this urgency into scalable solar projects that deliver affordable, abundant clean energy. Our initiatives are engineered for reliability and volume, producing gigawatt-scale output at competitive rates that undercut fossil fuels – even as carbon prices rise (now averaging €80-100/tCO2 in key markets, per recent EU ETS data). 🇺🇿 A prime example? Our partnership in Uzbekistan, aligning with the nation's ambitious clean energy roadmap. We're targeting 5 GWh of solar capacity – enough to meet the equivalent of Arizona's total data center energy needs (projected at ~4-5 GWh annually by 2025). This isn't just green ambition; it's a double win: * Cost stability: Locking in low LCOE (levelized cost of energy) below $0.03/kWh, shielding AI operators from volatile grids. * Carbon edge: Higher carbon pricing amplifies the value of our zero-emission output, enhancing project IRR while advancing Uzbekistan's net-zero goals. In a world where AI promises efficiency, let's ensure energy doesn't become the bottleneck. Renewables like these aren't optional – they're the infrastructure of tomorrow. What’s your take: How is AI's energy hunger reshaping your sector? Let's connect in the comments. #AI #RenewableEnergy #CleanTech #SolarPower #Sustainability #Uzbekistan #DataCenters Disclaimer: For informational purposes only. Not an investment offer. Consult a professional advisor. Hyper Partners is not FINMA-licensed.
To view or add a comment, sign in
-
-
Artificial intelligence powers breakthroughs in everything from healthcare to finance, yet its data centers gulp electricity like never before, rivaling the usage of small countries. This surge calls for smarter grids and renewable sources to keep the tech revolution running without draining the planet. Dive into the full story on why AI demands better energy strategies now: https://lnkd.in/gQCXUCxQ #AIEnergy #SustainableAI #DataCenterPower #GreenTech #RenewableEnergy #AIPowerConsumption #EnergyEfficiency #TechSustainability #FutureOfAI #ClimateAndAI
AI Energy Crisis Solutions | Why AI Demands Better Energy Strategies https://www.aiweeklyreviews.com To view or add a comment, sign in
-
The Power of the Cloud in Green Energy ☁️ The more I explore how tech connects with the green energy world; the more I realize how powerful the cloud truly is. It’s easy to think of it as just storage for our photos or files; but behind the scenes, it’s doing so much more. Every time a wind turbine spins or a solar panel collects sunlight; data is being sent; stored; and analyzed in real time ; all through the cloud. It helps energy systems stay smart, efficient, and connected. What amazes me most is how technology itself is learning to go green. Many data centers that power our digital world are now running on renewable energy. It’s a quiet revolution that shows how tech can help protect the planet it once consumed from. For me; this journey has been eye-opening. I studied something completely different, yet here I am ; finding purpose in learning how tech and energy come together to create a cleaner, smarter future 🌍
To view or add a comment, sign in
-
-
Capgemini's latest World Energy Markets Outlook takes a closer look at the factors shaping progress in the energy transition. This year’s analysis reinforces the growing importance of resource availability, national priorities and consumption flexibility in determining the pace of change. Digital innovation continues to offer new ways to strengthen resilience and efficiency across the system. Personally, the key message is consistency - progress depends on coordination across markets, industries and policy. The choices made today will define how sustainable and secure our energy future becomes. Read more here : https://lnkd.in/epbweVGr Claire Gauthier Peter King Florent Andrillon Vincent Charpiot Emmanuel Lochon
To view or add a comment, sign in
-
-
Clean energy is no longer just about panels and turbines — it’s about data, automation and intelligent systems. In 2025, AI isn’t just a tool — it’s the nervous system of our energy future. As Tony Tiyou insightfully noted, the fastest-growing players in renewable energy today aren’t solar or wind designers — they’re scientists and AI technicians driving predictive maintenance. Clean energy has gone digital — and that’s exactly where your attention should be. AI Is Redefining How We Power the World Artificial Intelligence is transforming energy grids from static infrastructure into dynamic, self-optimizing ecosystems, by analyzing vast datasets in real time, AI enables: ~Predictive Demand Forecasting – anticipating energy needs before they cause outages. ~Dynamic Load Balancing – distributing power efficiently across the grid. ~Renewable Integration – seamlessly incorporating solar and wind power. ~Fault Detection & Self-Healing – identifying and correcting issues autonomously. These innovations already deliver measurable impact: ~Up to 60% reduction in energy losses through real-time optimization. ~10–20% lower operational costs via predictive maintenance and smarter allocation. ~Increased grid resilience under demand spikes and disruptions. The Paradox of Progress AI-driven data centers could consume over 945 TWh of electricity by 2030 — more than double today’s global data center energy demand, this reality underscores the need for AI-optimized, sustainable grids to manage the very technology accelerating our progress. The New Green Skillset for Africa The energy transition is no longer just about hardware — it’s about intelligent systems and digital operations. Africa’s greatest opportunity lies in combining renewable energy expertise with AI, automation, and local innovation to build systems that are smart, resilient, and self-sustaining. The new green skillset blends coding with cabling, data with design, and local insight with global intelligence — extending even into mobility and decentralized energy distribution, where AI assistance is beginning to bridge the gap between vehicles, grids, and consumers in powerful new ways. In Summary The future of energy is intelligent, adaptive, and sustainable. AI isn’t just optimizing grids — it’s reweaving the very fabric of how we produce, store, move, and consume power. Follow me to see how AI is shaping the world of energy — and to join our journey as we tackle one of Africa’s greatest challenges: accelerating green energy adoption through smart, localized innovation. #GreenTechAfrica #Automation #SmartGrids #RenewableInnovation #SustainableFuture #AfricanEnergy #DigitalTransformation #ClimateTech #EnergyResilience #GreenSkillset #ArtificialIntelligence #RenewableAfrica #FutureofEnergy #EVRevolution #SmartMobility
To view or add a comment, sign in
-
-
𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗘𝗻𝗲𝗿𝗴𝘆: 𝗪𝗵𝘆 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 𝗠𝗼𝗿𝗲 𝗧𝗵𝗮𝗻 𝘁𝗵𝗲 𝗛𝗲𝗮𝗱𝗹𝗶𝗻𝗲𝘀 The energy debate is often framed in absolutes, urgency, disruption, trade-offs. But beneath the noise, something quieter is happening: real progress. If you look past the headlines, you’ll see the energy system is evolving in ways that don’t just matter for climate goals, they matter for leadership and change in every industry. 🔍 What’s Moving the Needle 𝟭. 𝗥𝗲𝗻𝗲𝘄𝗮𝗯𝗹𝗲𝘀 𝗮𝗿𝗲 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝗮𝗹, 𝗻𝗼𝘁 𝘀𝘂𝗽𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝗹 The IEA’s Global Energy Review 2025 shows that nearly all new electricity demand is being met by low-emissions sources, led by a record-breaking expansion in solar PV. Clean energy isn’t a sideshow anymore, it’s becoming the backbone. 𝟮. 𝗖𝗹𝗲𝗮𝗻 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝗿𝗲 𝗺𝗮𝘁𝘂𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 Deloitte highlights modular tech, localised supply chains, and AI-driven efficiencies as accelerators. This means the future won’t just be about big infrastructure, but about smarter, scalable solutions embedded in everyday systems. 𝟯. 𝗧𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝗺𝗲𝗮𝗻𝘀 𝗵𝘆𝗯𝗿𝗶𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝗻𝗼𝘁 𝗼𝘃𝗲𝗿𝗻𝗶𝗴𝗵𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 BloombergNEF points out that fossil fuels will remain in certain hard-to-abate sectors for years to come. The real challenge isn’t “old vs new”, it’s building systems that can integrate hybrid pathways and manage trade-offs effectively. ⚖️ The Tension Beneath the Progress Solar and wind scale, but storage and grid flexibility lag behind. Clean tech matures, but permitting and regulation drag. Fossil fuels persist in aviation, petrochemicals, and heavy industry. This tension isn’t a flaw, it’s what drives change. Progress in energy (and in any sector) is layered, negotiated, and cultural as much as it is technical. 👉 Looking ahead, what lesson from the energy transition do you think applies most to your own sector? Sometimes a short reset conversation is all it takes to reconnect with the bigger picture, please get in touch if you’d like one. #FutureOfEnergy #EnergyTransition #Leadership #CultureChange #Changemakers #FutureOfWork
To view or add a comment, sign in
-
-
Climate Group Relaunches Initiative as Smart Energy Coalition with AI Focus The Climate Group has rebranded its global corporate energy efficiency initiative, formerly EP100, as the Smart Energy Coalition. This relaunched scheme, backed by over 100 major companies including Siemens and Danfoss, places a new emphasis on leveraging Artificial Intelligence to boost energy efficiency in building automation and HVAC systems. The move addresses the surging energy demand from AI, data centers, and the increasing need for low-carbon cooling solutions. Members of the Smart Energy Coalition are committed to doubling their energy productivity by 2040. This initiative aims to drive innovation in smart building technology and energy management, helping to cut costs and enhance energy security. The coalition's focus is critical as nations strive to meet climate goals, such as the COP28 commitment to double the rate of energy intensity improvement by 2030. #SmartEnergy, #EnergyEfficiency, #AI, #BuildingAutomation, #HVAC, #Sustainability, #ClimateAction https://lnkd.in/dwDWMKr7 Image generated by AI.
To view or add a comment, sign in
-
-
🌍 Accelerating Europe’s Energy Transition: a strategic, technological, and collective imperative. ⚡️ At the heart of the Schneider Electric #innovationsummit2025 in Copenhagen, discussions reaffirm a key conviction: the future of energy lies in the convergence of electrification, digitalization, and sustainability. This transformation—driven by public, private, and technological actors—is reshaping industrial models and paving the way for a more resilient Europe in the face of climate and geopolitical challenges. 💻 Digitalization is emerging as a major lever to enhance energy efficiency, secure infrastructures, and create new balances between production, distribution, and consumption. Through AI, automation, and real-time data, organizations can anticipate demand, reduce emissions, and strengthen competitiveness while advancing the low-carbon transition. 🔋 The mass electrification of transport, housing, and industry represents a decisive step toward a circular and decarbonized economy. This shift requires rethinking the entire energy value chain—storage, grid flexibility, interoperability, and renewable integration. It is through these systemic transformations that a sustainable and strategic European energy independence will emerge. 🚀 By taking part in this event, we contribute to a collective reflection on how to connect technology, governance, and organizational transformation to build energy models that are both efficient and responsible. The challenge is not only to transform systems but to rethink interdependencies to create true energy sovereignty grounded in systemic innovation. #InnovationSummit #SchneiderElectric #EnergyTransition #DigitalTransformation #Electrification #Sustainability #Decarbonization #SmartIndustry #CleanEnergy #EnergyEfficiency #EuropeanIndependence #IndustrialInnovation #SmartGrid #AIForEnergy #FutureOfEnergy Vianeo Caspar Herzberg Laurent Bataille
To view or add a comment, sign in
More from this author
Explore related topics
- How AI can Improve Energy Use
- The Impact of AI on Renewable Energy
- How AI can Mitigate Climate Change Risks
- How AI is Changing Energy Grids
- How AI Will Transform the Energy Sector and Economy
- AI Energy Consumption Insights
- Benefits of AI for Climate Predictions
- How AI Infrastructure Will Affect Energy Needs
- AI-Enabled Smart Grids For Efficient Energy Use
- How Technology is Shaping the Future of Energy
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development