AI Sales Start to Justify Data-Center Spending Boom, Report Says

By Bloomberg Technology

Categories: Startup, VC, AI

Summary

AI has hit a critical inflection point: Q1 2025 AI revenues ($25B) now exceed data-center depreciation costs ($21B), proving the buildout is finally profitable. At a $170B annualized run rate growing 200% YoY, AI revenue growth is 3x faster than mobile or internet adoption—the fastest business wave in history.

Key Takeaways

  1. Global AI revenues reached $25B in Q1 2025, annualizing to $170B with 200% YoY growth—exceeding hardware depreciation costs for the first time, signaling the data-center spending boom is now justified.
  2. AI demand growth is 3x faster than internet or mobile adoption cycles, making it the fastest-growing business wave in technology history. This validates aggressive infrastructure spending by hyperscalers.
  3. Reconstruct demand-side data by analyzing supply-chain disclosures, leaks, and public filings from hyperscalers and AI companies, since major players don't directly report AI revenue separately—essential for market sizing.
  4. Enterprise adoption is still accelerating despite price concerns with proprietary models. Watch for major rotation toward open-source solutions offering better ROI as mainstream companies deepen AI implementation.
  5. Current growth rates are exceeding expectations; Exponential View initially modeled slowdown but Anthropic's momentum kept 200% growth rate sustained. Expect continued acceleration as Main Street learns to operationalize AI.

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Transcript Excerpt

To stay in the realm of the AI build out. According to a new report, AI revenue may have reached a tipping point. Analysis from exponential view shows global AI sales excluding China reached $25,000,000,000 in the first quarter of this year. Depreciation from data center and chips investments, well, that's expected to be just $21,000,000,000. So is the AI build out finally paying off? Azeem Azhar, founder of exponential view and an author on that report as well as a Bloomberg contributor joins us now. We've talked about this for so long. The machine where you know the numbers that are going in, capital expenditures. It's just been very hard to find the numbers that are coming out the other side. You seem to have found them. Well, thank you for having me on your show, Ed, and I thought it w…

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