At the 2026 World Economic Forum in Davos, Schneider Electric was awarded twice by the WEF’s MINDS program for its impactful AI-driven solutions in energy management, distinguishing it uniquely. CEO Olivier Blum underscored the inseparable future of AI and energy, emphasizing the need for enhanced energy intelligence. Under the leadership of Chief AI Officer Philippe Rambach, the firm has implemented nearly 100 AI applications, evenly divided between customer-focused solutions and internal operational enhancements, from manufacturing to customer service.
Schneider Electric advances AI by embedding it directly into existing platforms and workflows instead of standalone products. This approach includes AI enhancements in sales tools and agentic AI systems that improve sales productivity despite their developmental stage. Training programs are tailored to different employee roles to facilitate AI integration and culture.
The company’s AI deployment model bypasses prolonged pilot testing, focusing instead on scalable implementations verified through strict stage-gate processes and comprehensive business cases, ensuring immediate and significant impact. Value measurement strategies vary between customer-facing and internal uses, emphasizing adoption and performance metrics, allowing Schneider Electric to lead in practical, large-scale AI adoption while balancing analytical and generative AI methods.
Lessons from Schneider Electric highlight the importance of business-driven AI initiatives, front-line employee involvement, embedded AI in workflows, scalability from the outset, specialized training, and a balanced AI technology portfolio—offering a robust template for successful AI integration across enterprises.
New studies on the environmental impact of digital infrastructure reveal why people remain concerned about their tech usage but often fail to adjust their behavior.
A guide for entrepreneurs aiming to expand their businesses profitably while making a tangible and positive impact in their communities and industries.
Merrell introduces its first global brand platform that promotes nature as a sanctuary for individuals feeling overwhelmed by the fast pace and digital pressures of modern life.
A small number of corporations dominate the internet, wielding extensive control over our personal information. Despite their influence, there exist ethical and often European-based options that challenge these giants. Concerns around big tech include social media's negative impacts, misinformation, data exploitation, environmental harm, and tax avoidance. Silicon Valley's cozy relationships with controversial political figures add to the distrust. Moreover, many products from these firms have become less helpful and more exploitative over time, a phenomenon tech commentator Cory Doctorow calls “enshittification.” As consumers, we trade our privacy and data for access to free or low-cost services, ultimately fueling the financial power and monopoly status of these companies.
Widespread public concerns about the rapid increase in data center construction for AI infrastructure are prompting strict regulations, including the prohibition of new facilities in certain areas.
Every high-definition hero image, auto-playing video, and intricate JavaScript animation comes with an environmental and performance cost. Sustainable UX design challenges the age of "infinite pixels," redefining true sophistication in 2026 not by the addition of features, but by the thoughtful reduction of digital impact.
OpenAI CEO Sam Altman has defended the energy-intensive processes behind artificial intelligence by comparing the resource demands of training AI models to the energy and food humans require over a lifetime. This perspective sparked significant backlash, especially from climate experts who argue that the comparison misses key points about the environmental impact and resource consumption unique to AI. Experts emphasize that humans and AI operate differently in terms of energy use, noting that Altman’s view overlooks the ecological costs embedded in creating the data that trains AI models. Critics also highlight the growing strain AI places on energy and water resources, pointing to projections that AI-driven demand on water and electricity will surge significantly in the coming decades. Altman acknowledges energy concerns and calls for a faster transition to renewable sources like nuclear, wind, and solar. However, climate scientists caution that this defensive stance echoes problematic tech world beliefs such as longtermism and techno-utopianism, which may underplay the immediate risks to the environment, including the climate crisis.
Ofgem reports that around 140 planned datacentre projects, fueled by artificial intelligence technology, might demand up to 50 gigawatts of electricity, surpassing the UK's current peak consumption by 5GW. This surge highlights significant challenges for the national grid as the growth in AI applications drives energy requirements beyond existing capacities.
The conversation about AI potentially taking over human jobs often overlooks a crucial question: who will ensure that people have enough to eat? Despite fears mirroring those from the Industrial Revolution, which ultimately did not displace workers entirely, there is a lack of serious discussion on how society should respond if AI does make many jobs obsolete. Addressing how food distribution and sustenance will be managed in such a future is essential.
