aifollow.news 搜索
返回 Rohan Paul
Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分59

Gartner 预测:超八成新兴云服务商到 2030 年将停止独立运营

自动核验发布 · 本文由系统生成并完成证据核验,未经人工审稿。

AI 导读

Gartner 预测,成本压力将使超过 80% 的新兴云服务商到 2030 年停止独立运营。尽管面向 AI 优化的基础设施即服务支出预计从 2027 年的 660 亿美元增至 2030 年的 1740 亿美元,Gartner 仍预计,AI 数据中心截至 2030 年的相关收入至多为 3.6 万亿美元,低于覆盖已宣布资本支出、融资成本及 12% 投资回报所需的 8.5 万亿美元。

原帖引用 · 原文

该语言的正文暂不可用,当前显示已有版本。

@rohanpaul_ai

Gartner predicts cost pressure will force more than 80% of neocloud providers to cease independent operations by 2030.

Hyperscalers face less risk because their large, diversified revenue could plausibly sustain AI investments for years.

Gartner also forecasts AI-optimized IaaS spending will grow from $66B in 2027 to $174B in 2030.

That growth is too low for most AI compute providers to recover their investments before current AI chips are replaced.

AI data center owners would need $8.5T in cumulative revenue through 2030 to cover announced capex, financing costs and a 12% return on invested capital, yet Gartner forecasts attributable AI revenue of no more than $3.6T.

On the current trajectory, more than $4T in asset value could be exposed to write-down risk through 2032, and Gartner does not expect the 12% return to be reached before the end of 2032.

引用Elon Musk@elonmusk
Pretty much. As of the past few weeks, debt markets have almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers. SpaceX closed $40B of debt for GPUs, but we’re investment grade and have Starlink & launch revenue. That means the 200+ neoclouds are going to see guppy-level death and consolidation. Some will make it through, but not many.
在 X 查看这条帖子 ↗
相关上下文Chamath Palihapitiya@chamath
As someone with a portfolio of energized land assets here is what I am seeing: 1. Neoclouds are disorganized and poorly capitalized. Some are definitely better than others however. 2. Hyperscalers are intractable, bureaucratic organizations that take 3 months to do an NDA and want 18mo escrow periods. We built our portfolio by competing against these terms because of our speed and simplicity. The more future assets orgs like ours win, the bigger the problem for the hyperscalers downstream (see 3). 3. There are delays in the existing pipeline that will catch people off guard in 2027. Hyperacalers will (obviously) react by focusing on their own internal compute needs over any third party. If the third party is a model company, they will tell them to go through their model router where they will also take a non-trivial vig. Them telling Ant they have no compute for them (rumored in Ant’s S-1) if true is a huge tell that this is already happening. All of this is to say that it does look like there will be a lot of partially stranded compute and compute sitting in inventory in 2027 than is currently forecasted. This is bought and paid for but effectively underearning (below total cost of capital) or collecting dust. We see this as true for everyone - model companies, hyperscalers, neoclouds except ONE (you can guess which one). This dislocation will benefit two kinds of orgs: the non-bureaucratic big scalers who can build industrial scale quickly and the nimble, well capitalized players feeding them. 2027 will be a turbulent year because it will clear out a bunch of wrong/bad bets. It will also be a consolidation year for a few.
在 X 查看这条帖子 ↗

来源:Rohan Paul · x.com

行业
发现内容有误?提交纠错