AI Capex Tracker 2026: How Much Big Tech Is Spending on Compute
Big Tech infrastructure spending has moved into a new scale. This tracker separates disclosed company plans from the much larger ecosystem estimates often quoted around the AI boom.
Portfolio & Valuation Research Writer, Global Markets Review
Thomas Avery writes comparative valuation and portfolio research for Global Markets Review, including company screens, sector comparisons and methodology-heavy reference pieces.
He focuses on making unlike companies comparable without erasing differences in currency, reporting periods, capital structure or business model.
Thomas treats methodology as part of the investment conclusion rather than as footnote material. Index rules, universe definitions, weighting methods and observation dates are stated because changing any one of them can alter a ranking or portfolio comparison materially.
That makes his byline a natural fit for permanent reference work. He focuses on how benchmarks and groups of companies are constructed, where data is comparable and where it is not, and which assumptions a reader would need to reproduce the result.
Big Tech infrastructure spending has moved into a new scale. This tracker separates disclosed company plans from the much larger ecosystem estimates often quoted around the AI boom.
Hyperscalers are issuing debt at unusual scale to finance data-centre expansion, pushing AI investment beyond equities and into credit spreads, duration and refinancing risk.
Many AI equities derive a large share of their valuation from profits expected years into the future, making changes in discount rates unusually important even when current revenue is still growing.
AI capital spending moves through a chain from cloud-company budgets to accelerator orders, memory, networking, data-centre construction and power equipment. Each layer turns at a different time.
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