Hello Interactors, I can’t, with certainty, explain my lapse in Interplace posts. I blame the shear bewilderment, ambiguity, angst, and collective anguish, anger, and exhaustion of all that surrounds the increasing intricacies intwining the interaction of people and place. Let’s just say centering my convictions has become as challenging as centering any creative energy on attempts to conjure any clarity to this complexity. It seems I’m not alone. As Japan-based political scientist Christopher Hobson recently concluded at Imperfect Notes, “Acceleration accelerates, disorientation deepens.” This on the heels of a Jean Baudrillard quote from 1995 that further complicates the articulation of the current moment because “the interpretation of things” is “always beyond” the event. THE SURREAL SPEED OF SOFTWARE AND SILICON It’s hard not to read Baudrillard’s writings on the simulated reality of the 80s and 90s these days and not feel like he had somehow time-traveled to make such poignant prognostications about today. As a social theorist, he was adept and omniscient at observing how media and technology can reshape not only daily life but the very language through which we perceive and interpret change. It today’s even higher-paced and surreal world it can be hard to recall just how disorienting the acceleration of personal computers and the internet was in the 80s and 90s. It may be even harder for those of us who were sitting in the driver’s seat. After all, speeding along on a bike, or inside a car, train, or rocket yields a very different experience than standing outside and watching it zoom past. The same could be said for the fear of computer viruses in the early 2000s that had ‘spontaneously broken free’ of their captive computers to wreak havoc on society. It seems human created ‘rogue’ AI demons and computer viruses have something in common with all technological innovation or failure: human intent, good and bad, is found at the source of their trajectories. Ask any judge and jury…humans are where ultimate accountability rests. Human backed technology acceleration has undoubtedly brought unparalleled and miraculous good to the world. It’s also created a world that can be summed up with ‘hockey sticks’ and ‘k-shapes’. The “hockey sticks” of the Great Acceleration come from the steep rise since around 1950 in economic activity, resource use, and environmental pressures charted by Steffen and colleagues. The “K-shapes” describe diverging fortunes, as some people and places prosper while others fall behind. After all, accelerating change does not mean everyone around the world shares in the progress. And this brings us back to economic geography. Here too, it turns out there is disorientation. When I had the privilege of presenting a paper last year at the Digital Geographies conference in Lisbon (almost exactly a year ago), I had the pleasure of meeting two researchers who interrogate this period of disorientation for a living, Yuko Aoyama and Matthew Zook. They were both also gracious enough to accept my paper to their session! Yuko had recently led editing a 2025 book called Economic Geography for the 21st Century. Matt and a colleague provided a chapter on Global Digital Networks by comparing them to global production networks and global financial networks. This book offers the latest in economic geography research on topics that matter most in this modern world of ‘hockey sticks’ and ‘k-shaped economies’. It looks at these four elements of economic geography: * the changing nature of capitalism, * the future of globalization, * the transition to a greener economy, and * the influence of technology. Given technology is at the forefront of what is shaping much of the world’s economy, where, exactly, do digital economies fit into economic geography? AI, cryptocurrency, cloud computing, digital payments, and algorithmic-everything have all emerged from the 90s Baudrillard was reacting to. These economies manifest and perpetuate on even more screens than the 90s. And they do so without any clear origin, location, or, increasingly, human involvement. Economic geography brings this all back to earth. Instead of focusing on the apparent weightless digital vapor of these systems, why not look for the underlying infrastructures, workers, resources, institutions, and unequal power dynamics that enable them to function? This doesn’t mean that the familiar geographies of mines, factories, ports, warehouses, and industrial labor have vanished. Instead, they now coexist and are reshaped by global production networks, financial networks, and digital networks. The mission isn’t just about finding out that the cloud is real, but to understand how supposedly immaterial systems continue to produce very material consequences across unevenly situated places. MAKING THE CLOUD CONCRETE I remember being at Microsoft when we were trying to bring together the PC, Xbox, Phone, and this new thing called Azure. “Three screens and a cloud” became the shorthand branding strategy at a time when ‘the cloud’ was still gaining purchase as a term. It’s now become the digital economy’s most popular metaphor. “The cloud” paints a picture of a floating, untethered layer of ‘compute’ that floats above the messiness of the everyday world. We store stuff, stream it, ask questions, send money, and increasingly rely on it to help us with our daily work, travel, communication, and decisions. The cloud’s apparent weightlessness is part of its appeal. It arrives through a UI on a screen, without origin, jurisdiction, material footprint, or visible work force. But ‘the cloud’ doesn’t exist in some ethereal elsewhere. Like traditional modern Western economies, it’s distributed unevenly across real physical landscapes, cities, industrial zones, ports, power grids, watersheds, factories, and other new found and formed frontiers of extraction. Data centers alone make ‘the cloud’ less ethereal and more real. But it’s not just data centers. It’s fiber-optic cables, server racks, cooling systems, substations, semiconductor fabrication plants, mines, processing facilities, warehouses, and all the people who build, maintain, clean, secure, regulate, and supply them. A primary point of my talk in Lisbon was how the digital economy reorganizes geography in ways difficult to see from the interfaces that I helped bring to the world. Economic geography helps with this reversal of perspective. It asks what makes a service possible in the first place. It interrogates where computations are performed, who owns the infrastructure, what energy sustains it, which jurisdictions authorize and subsidize it, and which materials travel through global supply chains. These questions reveal that hardware, software, capital, labor, law, and territory are co-assembled. Technology becomes a bit more demystified when it’s reduced to a combination of factors already present in the world. Consider data centers. They show up as low, windowless industrial buildings, a bit of fencing, some parking, piles of cooling equipment, and unusually massive electrical infrastructure relative to the regions in which they’re placed. All of this, as we now see, can significantly impact regional political economies. The location depends on cheap and reliable electricity, high-capacity fiber connections, lots of water, available land, tax deals, and proxim… This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit interplace.io