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The future of AI isn’t just about speed—it’s about sustainability. Our latest report, 𝗣𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜, explores why resource efficiency will define the next wave of AI innovation. Discover new insights and a practical blueprint for scaling AI responsibly; without compromising the planet or profitability: https://accntu.re/46VtaJl [Carousel description: an image of a server next to a tree as a background Carousel 1: Text "By 2030, AI could use more energy than many nations." Carousel 2: Text "Cooling data centers alone could drain over 3 billion of m3 water." Carousel 3: Text "Its carbon footprint may grow 11x-reaching 3.4% of global emissions." Carousel 4: Text "Scaling AI without limits risks slowing progress on sustainability." Carousel 5: Text "Read the report to find 4 actions to ut impact and boost resilience."]

Everyone thinks AI consumes a lot of energy. They’re wrong. We cracked the code and now our AI uses less energy than your TV. Publishing environmental data when you're an AI company feels vulnerable. Everyone expects AI to be an energy monster. The headlines write themselves: "AI destroying the planet," "The hidden cost of automation." But here's what transparency actually showed us: Each AI interview with Ribbon uses less energy than 15 minutes of watching TV. We're interviewing hundreds of thousands of people with each interview using 18x less energy than boiling a kettle. We broke down almost every component of energy usage. Once we could measure each piece, we could optimize everything. Our data revealed optimization opportunities we're actively pursuing: - Preventing silence from being transcribed - Combining model calls to reduce computations - Prioritizing data centers with cleaner energy and better water efficiency Small improvements. But at the scale AI is heading toward, they compound into massive impact. We're already implementing these optimizations. Not because our footprint is large (it's tiny), but because building sustainably from the start is easier than fixing it later. Publishing our impact does three things: - It holds us accountable. These numbers are now public benchmarks we must improve on. - It starts a conversation our industry needs. If every AI company published their impact, we'd all optimize faster. - It proves sustainable scaling is possible. We're showing that AI can expand access to opportunity without expanding environmental cost. Transparency isn't about perfection. It's about progress being visible, measurable, and continuous. Every company will eventually measure their AI footprint. Starting now means we can still shape what sustainable AI looks like.

Is AI the key to unlocking sustainability — or is it just a hype? AI is often framed as either a breakthrough technology that could help solve our most complex sustainability challenges, or the next big sustainability problem in itself. The truth is, it sits somewhere in between. From today’s narrow tools that can streamline ESG reporting, to emerging systems optimising decarbonisation pathways, to a speculative future of Artificial General Intelligence — AI is already shaping the way businesses think about sustainability. But the questions remain: ➕ Can AI genuinely help resource-constrained teams work smarter on ESG? ➕ Or will it become another drain on limited time, budgets, and trust? In this article, we explore what AI can do today, what’s emerging, and what a more speculative future might hold for sustainability: We’re curious to hear your thoughts — is AI a sustainability enabler, or a distraction? #AI #sustainable #sustainablebusiness #sustainablefinance #environment #ESG

🌍 AI + ESG = Smarter Sustainability Symufolk empowers organizations to track carbon, analyze ESG data, and automate sustainability reporting — driving smarter, greener decisions. #AI #Sustainability #ESG #Symufolk

🌍 AI Meets Carbon Markets: Redefining the Path to a Greener Future ♻️ At JW Infotech, innovation goes beyond technology — it’s about impact. Our latest case study explores how AI is revolutionizing carbon markets, driving efficiency, transparency, and accountability in carbon reduction initiatives across industries. From predictive carbon modeling to real-time emissions tracking, AI is empowering organizations to move from reactive compliance to proactive sustainability — shaping the next era of responsible innovation. We’re proud to be at the intersection of technology, environment, and purpose, building digital solutions that enable a measurable impact on both business and the planet. 🌱 Read the full case study on our website to discover how data intelligence is powering the global shift toward net-zero transformation. #JWInfotech #AI #Sustainability #CarbonMarkets #CarbonReduction #Innovation #GreenTech #DigitalTransformation #ClimateAction #NetZero

Enough about the bubble bursting, what about the ocean bubbling? I've been thinking about eco-ethical ai usage and how little focus we're seeing dedicated to this in the discussion around AI usage in the workplace. It's sort of ironic that we're so worried about AI as a potential extinction threat, whilst we completely ignore the impact it is having on the climate emergency we're already facing. I'm no sustainability expert, but I've had a go at drafting a simple three point plan on how you can start to be more eco-conscious with how you and your teams are using AI. Here's the topline: 1. Keep it productive > ensure all prompts are tied to a business outcome 2. Educated use > Provide prompt engineering training for all staff for more efficient usage 3. Sustainable accountability > add ai usage to your carbon footprint reports To read the plan in full and access some handy impact stats, check out my latest blog post (full link available in comments): https://lnkd.in/e7Ww4xjw

THE SUSTAINABILITY PARADOX AI LEADERS CAN’T IGNORE The systems we build to forecast demand, balance grids, and route supply chains are leaning harder on the same energy and water we’re supposed to conserve. This is the sustainability paradox. But there’s a way forward. In this deep dive from The Array, Jimmy Oribiana outlines five practical levers AI leaders can adopt today: • Carbon-aware scheduling to shift workloads to cleaner power windows • Emissions budgets applied to model lifecycles • GreenOps as a shared team discipline • Water-aware deployment and region choice • Sustainability tagging baked into pipelines and product design If your AI strategy doesn’t include sustainability, can it really be intelligent? Read more: https://lnkd.in/gyE3Cm3h #Sustainability #AI #GreenIT #Innovation #DataInfrastructure #HitachiVantara

AI isn't just transforming business - it's accelerating the global sustainability transition. From real-time emissions tracking to tracking supplier transparency, AI is helping organisations work greener, faster, and smarter. ✅ Turn raw data into actionable climate insights ✅ Forecast demand & reduce overproduction ✅ Strengthen supply-chain transparency ✅ Enable continuous, automated optimisation As PwC highlights, AI has the potential to help unlock emission reductions - but only when deployed responsibly and aligned with net-zero pathways. 🌱 Looking to solve sustainability challenges using AI? Sign up for our beta waitlist to unlock new opportunities and drive real-world impact: https://www.dash.net.co/ #AI #Sustainability #ClimateTech #NetZero #ESG #SustainableInnovation #GreenTech #Dash  #ResponsibleAI 

Carbon data validation used to take weeks. Now it takes hours. Here’s the reality: Companies are drowning in carbon data from thousands of sources like supply chains, facilities, transport logs, energy bills. Manually validating this data? It’s a compliance nightmare. Enter AI. AI-powered tools are transforming how we validate carbon emissions data by catching inconsistencies humans would miss. They spot anomalies in real-time, flag outliers in energy consumption patterns, and cross-reference data across multiple sources instantly. The impact? Teams that spent 40% of their time on data quality issues can now focus on actual reduction strategies. AI doesn’t just speed up validation—it makes it exponentially more accurate. But here’s what excites me most: AI learns from historical patterns. It gets smarter at detecting errors, predicting data gaps, and even suggesting corrections based on similar operations. For organizations serious about net-zero commitments, reliable carbon data isn’t optional—it’s foundational. AI is making that foundation stronger. What’s your experience with carbon data challenges? Are you exploring AI solutions yet? #AI #Sustainability #CarbonAccounting #ClimateAction #ESG #NetZero #ClimateTech #onlygood

Could Trends Suggest Increased Reliance On AI For Sustainable Practices? → AI's role in sustainability is growing, offering efficiency but demanding ethical & systemic considerations for lasting impact.  →  Trends strongly suggest an increasing reliance on AI for sustainable practices. AI's ability to analyze vast datasets, optimize complex systems, and automate processes offers powerful tools for addressing environmental challenges and promoting efficiency across various sectors, from energy and agriculture to manufacturing and urban planning. This shift is driven by the urgent need for more effective sustainability solutions and AI's proven potential to deliver them. Artificial Intelligence Enhancing Ecological Balance The trajectory of technological advancement points decisively toward a greater integration of Artificial Intelligence (AI) in numerous facets of human life. Among the most compelling and critically important applications is the drive for ecological balance and sustainable practices. At its core, sustainability seeks to meet the needs of the present without compromising the ability of future generations to meet their own needs. This ambition is increasingly challenged by resource depletion, climate change, and ecological degradation, necessitating innovative solutions. AI, with its capacity for data processing, pattern recognition, and automated decision-making, presents itself as a powerful ally in this endeavor....  → Discover → https://lnkd.in/gdtKcGyN  #AIforSustainability #AnthropoceneMitigation #ArtificialIntelligence #ClimateChange #SustainableDevelopmentGoals #SustainableDevelopmentGoalsSDGs #SustainablePractices