The new map of economic influence is being redrawn by data, energy, and AI

The architecture of global economic power has rarely shifted as quickly as it is shifting now. In the space of a single quarter, the world's largest technology companies have committed sums that rival the GDP of mid-sized nations — not to products, but to the underlying infrastructure of computation itself.

Alphabet's plan to raise as much as $80 billion through equity offerings, paired with SoftBank's $52 billion European data-centre programme, signals that the contest for economic influence is increasingly a contest for compute, energy, and the physical capacity to train and run advanced AI systems.

From chatbots to power grids

The defining feature of the current moment is that the AI race has moved well beyond software. It now reaches into chips, electricity generation, robotics, public markets, and even space. Nations that can supply abundant, affordable power and host large-scale data centres are finding themselves with newfound leverage.

This is reshaping the calculus of trade and investment. Where once the key questions were about labour costs and shipping lanes, today they increasingly concern grid capacity, water for cooling, semiconductor access, and regulatory clarity around autonomous systems.

The AI buildout's planned capital spending — already historic at the start of the year — has only accelerated.

Winners and pressure points

Goldman Sachs Research economists expect sturdy global growth of around 2.8% in 2026, ahead of the 2.5% consensus, with the United States outperforming on reduced tariff drag and easier financial conditions. Yet the same forces that drive growth also concentrate it: the capital intensity of AI favours the largest balance sheets and the deepest capital markets.

Emerging economies with energy resources and strategic minerals — copper foremost among them — stand to benefit, while those dependent on older industrial models face harder adjustments. The result is a more uneven map, where influence flows toward those who control the inputs of intelligence.

What to watch next

Three signals will define the rest of 2026: whether public markets absorb the wave of AI-related equity raises without a sharp correction, whether energy supply keeps pace with data-centre demand, and whether regulators establish workable rules for autonomous agents operating inside sensitive systems.

Each of these questions is, at root, a question about power — economic, electrical, and political. How they are answered will determine whose hand draws the next version of the map.