SpaceX has picked Qualcomm to help build a nationwide US 5G network. Starlink plans to combine the capacity of ground towers with the reach of satellites. Can revenue from mobile subscribers, carrier partners and industrial fleets pay for the rollout?
AI adoption can accelerate while infrastructure returns weaken. As America’s technology giants expand computing capacity, Altair Media US examines the pressure on cash flow, equipment lifetimes and financing—and asks whether the infrastructure can pay for itself.
Google’s Project Suncatcher has generated an AI response from orbit. Turning that demonstration into competitive computing capacity requires answers on cooling, radiation, connectivity and launch costs. Can the economics support the ambition?
Wall Street is becoming more selective about the price of technological promise. Delayed IPOs raise five questions about valuations, investor expectations, shareholder exits and the balance between financial discipline and the capital required to build tomorrow’s businesses.
Artificial intelligence is transforming datacentres from collections of processors into vast communication systems. As copper approaches its practical limits, integrated photonics may become the next infrastructure layer enabling the continued scaling of AI.
Tungsten prices have surged by more than 550%, exposing a hidden vulnerability at the heart of the AI economy. As China tightens control over critical minerals, the race for artificial intelligence is increasingly becoming a race for the materials beneath modern technology.
Artificial intelligence may not be running out of ideas, but it may be approaching the practical limits of electrons. As communication becomes increasingly expensive, the future of computing may depend less on processing information and more on moving it efficiently.
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.
Artificial intelligence may be advancing rapidly, but robotics is revealing a deeper reality: intelligence becomes far more complicated once it enters the physical world. The Limits of Machine Intelligence explores why machines still struggle with embodiment, energy, uncertainty and the messy complexity of reality itself.
