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Server racks in a large data center with blue lighting
INDUSTRY

AI Spending Sets a Record With No End in Sight

By Jaclyn • April 30, 2026 • 4 min read

Microsoft, Google, Amazon, and Meta spent a combined $130.65 billion on capital expenditures in the first quarter of 2026 — nearly all of it on AI data centers and infrastructure. The number is staggering. And insiders say it's just the beginning.

Microsoft Leads the Charge

Microsoft spent $31.9 billion in the first three months of the year alone — up 49 percent from the same period last year. The company said it expects spending to top $40 billion in the current quarter, putting it on track for approximately $190 billion in total capital expenditures for 2026.

The justification: Azure. Microsoft's cloud business accelerated to 40 percent growth in the March quarter, exceeding its own forecasts and providing tangible evidence that the massive infrastructure bet is converting into revenue.

The Kognos Connection: When the biggest players in AI are spending $130B+ per quarter on infrastructure, the pressure to monetize is enormous. Kognos helps businesses extract value from that AI investment by making it easier to turn documents, URLs, and research into actionable insights — the layer where infrastructure meets output.

OpenAI's $115 Billion Road Map

While the hyperscalers build the infrastructure, OpenAI is busy consuming it. The company has revised its long-term spending projections to approximately $115 billion through 2029, with annual spending escalading from $17 billion in 2026 to $45 billion by 2028. Those figures are almost entirely directed at the compute required to train and run frontier AI models.

The scale of OpenAI's spending plan rivals some national governments' entire technology budgets.

A Gap Opening Behind the Numbers

Despite the record spending, some analysts are beginning to ask uncomfortable questions about the return timeline. Building data centers at this speed requires years to fully deploy and optimize. The current wave of capital expenditure will not fully translate into operational capacity until 2027 or later.

Meanwhile, the gap between the companies building AI infrastructure at massive scale and everyone else using it continues to widen. For most businesses, the question is no longer whether to use AI — it's how to use it strategically without being overwhelmed by options.

What Comes Next

The spending show no signs of slowing. Every quarter brings new capacity and new commitments. As Microsoft, Google, Amazon, and Meta race to build out their AI estates, the market is betting that demand will absorb what they're building. If they're right, the infrastructure being laid today will look like a bargain by 2028.

AI Spending Microsoft Data Centers Infrastructure Investment