Artificial intelligence is often presented as a software revolution. Yet behind every AI system lies a growing physical infrastructure of data centres, power grids and energy networks. This series explores how America’s energy system is adapting to support the rising demands of the AI age.
Modern finance is becoming faster, more automated and increasingly invisible. As digital systems replace human interactions, new questions emerge about financial stress, digital exclusion, trust and the ability of both younger and older generations to navigate an increasingly complex financial world.
America’s economy has never been larger or more financially sophisticated. Yet for many citizens, markets, debt and asset prices increasingly feel disconnected from everyday experience. This article explores how financial abstraction is reshaping the relationship between economic indicators and lived reality.
Digital payments, subscriptions and embedded finance have made spending faster and increasingly invisible. As friction disappears from modern finance, societies may also be losing emotional awareness around value, debt and consumption — especially inside digital environments designed to bypass hesitation itself.
Money was once something people could physically hold, slowly earn and consciously spend. Today it increasingly moves invisibly through digital systems, algorithms and platforms. But when money becomes abstract, societies may also begin losing their sense of value, trust and economic reality.
Europe’s new technology strategy is not about decoupling from the United States. It is about becoming indispensable within the infrastructures, supply chains and innovation ecosystems that underpin the digital economy, reshaping the future of transatlantic technological cooperation and resilience.
Artificial intelligence may appear weightless and digital, but robotics ultimately depends on energy, materials and physics. This article explores how batteries, compute efficiency, photonics and infrastructure could determine the future limits of autonomous machines.
Nvidia’s investments in photonics highlight a growing shift within AI infrastructure. The question is no longer simply how to build faster processors, but how to connect, package and integrate increasingly complex systems. The next bottleneck may emerge not inside the chip, but in everything surrounding it.
Nvidia is pouring billions into photonics as the future of artificial intelligence shifts beyond the GPU. Yet a growing debate suggests the next bottleneck may not lie in silicon photonics itself, but in the packaging, assembly and integration systems needed to connect AI infrastructure at unprecedented scale.
As artificial intelligence becomes increasingly powerful, robotics is exposing a deeper and more uncomfortable reality: intelligence may not simply be computation. The Limits of Machine Intelligence explores why machines still struggle with the physical world — and what this reveals about embodiment, energy, meaning and the future relationship between humans and technology.
