INSUS Blog
Insights, articles, and updates on AI-powered sustainability solutions for energy-intensive industries.
Cracking the AI Code in Energy-Intensive Industries
Despite massive investment and high expectations, most AI projects in energy-intensive industries fail to deliver real value. This article breaks down the five most common reasons behind these failures from misaligned goals to poor scalability and offers practical guidance for leaders looking to turn AI from stalled pilots into measurable operational impact.
Human Sensitivity and Artificial Intelligence: A Necessary Partnership
At Genera in Madrid, a powerful insight emerged: the future of AI in energy isn’t about replacing people, but about designing technology that works with human experience. This reflection explores why AI must augment human sensitivity, not override it, to drive meaningful and inclusive digitalisation.
How to Make Change Work: Applying the ADKAR Model in Organizations
Organizational change fails when people don’t adopt it. This article explains how the Prosci ADKAR Model helps organizations manage the human side of change by guiding individuals through awareness, motivation, skill-building, and long-term reinforcement.
Why Are Employees Pushing Back Against AI at Work?
Employees aren’t resisting AI because they dislike technology they’re pushing back because of fear, uncertainty, and poor rollout. This article explores the real reasons behind AI resistance at work and how organizations can build trust, confidence, and adoption.
Beyond the Hype: 4 Surprising Reasons Your AI Investment Isn't Paying Off
Despite record-breaking global spending on AI, many organizations are failing to achieve meaningful ROI. This article uncovers four unexpected reasons behind the “AI Impact Gap” from unrealistic timelines to organizational bottlenecks and reveals what true AI ROI leaders are doing differently to turn hype into transformation.
AI and Data: Catalysts for Spain's Energy Transition
Spain’s energy future depends on more than renewables data, AI, and digital innovation are now essential for stability, efficiency, and strategic autonomy. This article explores key insights from Re:Energía in Madrid, where industry leaders unpacked how AI is reshaping demand management, grid resilience, data governance, and the journey toward true energy independence.
When AI Meets Animal Welfare: Exploring the Moral Frontiers of Intelligence
At a groundbreaking event in Santiago de Compostela, researchers explored how AI could reduce animal suffering, transform ecosystems, and even challenge our understanding of moral consideration—raising profound questions about the future of sentient beings, human or artificial.
GEO vs SEO: Why AI Search Now Decides Whether Your Brand Exists
A deep dive into how Generative Engine Optimization (GEO) is replacing traditional SEO, why AI-driven search determines your brand’s online presence, and what you must adapt to stay visible.
From Trades to Tech: How Practitioner-Creators Are Redefining Learning in Modern Industries
A look into how real-world practitioners from electricians to cloud engineers are reshaping technical education through honest, hands-on content and why this shift matters for every modern industry.
AI’s Sustainability Paradox: Is the Energy Cost Worth the Climate Fix?
A deep dive into the paradox discussed at Watershed’s AI Summit: while AI consumes more energy, it’s also becoming the most powerful tool for solving complex sustainability and Scope 3 challenges at scale.
My Biggest Takeaway from Sustainability Week Europe: We Need to Talk About the A.I. Anxiety
A firsthand look at the growing A.I. anxiety among sustainability leaders at Sustainability Week Europe — and why bridging the A.I. literacy gap is now mission-critical for the future of green, profitable transformation.