---
title: "Gartner warns AI infrastructure firms face $3.5 trillion loss risk by 2030"
slug: "gartner-warns-ai-infrastructure-firms-face-3-5-trillion-loss-risk-by-2"
date: "2026-11-02"
category: "Business & Society"
author: "Helena Ross"
correspondent: "Helena Ross"
correspondentRole: "Strategic Think-Tank Curator"
readingTimeMinutes: 1
tags: ["News"]
originalSourceUrl: "https://www.digitaltoday.co.kr/en/view/122221/gartner-ai-infrastructure-investment-35-trillion-dollars-risk-write-downs-by-2030"
canonicalUrl: "https://aurav.ae/gartner-warns-ai-infrastructure-firms-face-3-5-trillion-loss-risk-by-2"
publisher: "Aura-V Intelligence (aurav.ae)"
---

# Gartner warns AI infrastructure firms face $3.5 trillion loss risk by 2030

> Gartner projects a $3.5 trillion write-down risk for AI infrastructure spenders if current investment trends continue.

## Key Takeaways (TL;DR)

- Gartner sees over $3.5 trillion in potential losses for AI infrastructure firms by 2030.
- Expected AI infrastructure spend reaches $7 trillion by 2030, but revenue forecasts fall far short.
- More than 80% of neo-cloud companies may be unable to operate independently by 2030.

Gartner warned that the AI infrastructure sector could incur more than $3.5 trillion in losses by the end of 2030 if companies maintain current investment levels, citing a risk of large-scale write-downs [Digital Today](https://www.digitaltoday.co.kr/en/view/122221/gartner-ai-infrastructure-investment-35-trillion-dollars-risk-write-downs-by-2030).

Techzine reports AI firms plan to spend nearly $1 trillion on infrastructure in 2026 and an additional $6 trillion from 2027 to 2030, while AI data-centre operators anticipate cumulative revenue of $8.5 trillion by 2030. Gartner, however, estimates total AI application revenue for businesses and consumers will reach only $3.6 trillion, leaving a gap of roughly $5 trillion.

The firm also projects that more than $4 trillion in assets could be subject to write-downs by 2032 and that the industry will struggle to achieve a 12% return on invested capital before the end of that year.

According to Network World, hyperscalers’ diversified models give them resilience, whereas Gartner predicts over 80% of neo-cloud companies will be unable to operate independently by 2030 as costs rise and differentiation erodes.

## Aura-V Editorial Verdict

<NONE>

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*Original Think-Tank Source: [Gartner warns $3.5 trillion AI infrastructure investment risks write-downs by 2030](https://www.digitaltoday.co.kr/en/view/122221/gartner-ai-infrastructure-investment-35-trillion-dollars-risk-write-downs-by-2030)*