THE POWER OF PEOPLE, PLACES & FIRMS
Reading Time: 3 minutesRecent reports suggest Volkswagen could close several German plants and cut up to 100,000 jobs globally, in what may be its largest-ever restructuring. Factories in Hanover, Zwickau, Emden and Neckarsulm would be hit hardest, as traditional automakers face pressure from Chinese competition, rising costs, and a slower-than-expected shift to EVs. Can Europe’s manufacturing heartlands adapt fast enough to survive the EV transition?
Reading Time: 4 minutesAfter decades during which the very concept was taboo and the reality swept under the rug, the world has now rediscovered industrial policy. But too much of it is reactive, scattered, and driven by whichever crisis has the attention of the moment. How can we create a more systemic approach that recognizes the issues we face are interconnected and rooted in real places?
Reading Time: 3 minutesFor years, cities have invested in smart sensors, dashboards and digital services. But as shocks cascade across water, energy, transport and social systems, smart cities aren’t enough. What will it take to turn smart infrastructure into real resilience?
Reading Time: 4 minutesPolicymakers are placing renewed emphasis on regulatory simplification, seeking to cut red tape and help firms grow. For SMEs, this is crucial: growth is shaped not by one law, but by permits and reporting requirements piling across levels of government. How can governments simplify this patchwork without losing its safeguards?
Reading Time: 3 minutesAt their best, incubators and accelerators are the beating heart of the local business community. By combining physical working spaces with financing, training and mentoring, they can mean the difference between a business thriving and never getting off the ground. But what does it actually take to build an incubator or accelerator that delivers?
Reading Time: 4 minutesOn Saturday, 31 January 2026, a single cloud changed Maipú in less than an hour – 17 millimetres of rainfall in forty-five minutes, flooding streets and destroying homes. Images spread across social media. Many claimed they were fake. They were not. The storm devastated more than a thousand families. So how did Maipú use real-time data to reach those in need?
Reading Time: 4 minutesEl sábado 31 de enero de 2026, una sola nube transformó Maipú en menos de una hora – 17 milímetros de lluvia en cuarenta y cinco minutos, inundando calles y destruyendo viviendas. Las imágenes se difundieron por las redes sociales. Muchos afirmaron que eran falsas. No lo eran. La tormenta devastó a más de mil familias. ¿Cómo usó Maipú los datos en tiempo real para llegar a quienes lo necesitaban?
Reading Time: 4 minutesThousands travel into Alba Iulia daily for work, school and services, while rural businesses supply food, goods and visitors that strengthen the city in return. The relationship runs both ways. What lessons can be drawn on building skills, mobility and collaboration between rural and urban communities?