The race to build AI’s backbone has gone into overdrive. Big Tech is on track to spend roughly $700 billion on AI infrastructure in 2026, fueling a wave of record-breaking data-center deals and a frantic scramble for compute and power. From mega-acquisitions to nuclear energy contracts, the hyperscalers and their financiers are pouring capital into the physical foundations of artificial intelligence — with no clear end in sight.
The spending surge
The numbers are staggering. Alphabet, Amazon, Meta and Microsoft alone are running combined quarterly capital expenditures north of $130 billion, driven by data-center buildouts. Across the year, hyperscaler AI infrastructure spending is projected near $700 billion, a sum that dwarfs past tech investment cycles and reflects a conviction that compute is the new strategic resource.
Mega-deals reshape the landscape
Capital is consolidating fast. A BlackRock/MGX consortium’s roughly $40 billion acquisition of Aligned Data Centers ranks among the largest private infrastructure deals ever, while CoreWeave’s $9 billion bid for Core Scientific signals the merging of crypto-mining and AI compute. The deals show how the infrastructure layer is being snapped up by players betting on relentless demand.
The talent and compute grab
It is not just buildings. Meta’s $14.3 billion investment in Scale AI brought over CEO Alexandr Wang and top talent, underscoring that the buildout is about people and capabilities as much as steel and silicon. The convergence of money, talent and compute is concentrating AI power in the hands of a few well-capitalized giants.
Power becomes the bottleneck
Energy is the new constraint. Google spent $4.75 billion acquiring power company Intersect Power, and Meta signed a major power purchase agreement tied to a nuclear facility. As data centers strain grids, securing electricity — increasingly from nuclear and dedicated sources — has become as critical as securing chips.
Financing the frenzy
The bills are coming due in debt. Meta issued $30 billion in debt to help finance its data-center expansion, a sign that even the cash-rich giants are turning to borrowing to keep pace. The scale of financing raises questions about returns, risk and what happens if AI demand fails to match the buildout.
Why it matters
This is the infrastructure of the AI era. The buildout determines who controls the compute and power that AI depends on, concentrating advantage among those who can spend hundreds of billions. It also carries real risks — overbuilding, strained grids and enormous capital exposure — that could reshape the industry if the AI boom cools.
The bottom line
Big Tech’s roughly $700 billion AI infrastructure push is driving record data-center deals, a scramble for power, and massive new debt, with no clear end in sight. The buildout is laying the foundations of the AI economy while concentrating power and risk among a handful of giants. For the tech industry, the land grab for compute and energy has become the defining contest of 2026.