惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

罗磊的独立博客
Recent Announcements
Recent Announcements
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
有赞技术团队
有赞技术团队
J
Java Code Geeks
T
The Blog of Author Tim Ferriss
MyScale Blog
MyScale Blog
人人都是产品经理
人人都是产品经理
aimingoo的专栏
aimingoo的专栏
U
Unit 42
The GitHub Blog
The GitHub Blog
云风的 BLOG
云风的 BLOG
T
Tailwind CSS Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 三生石上(FineUI控件)
Apple Machine Learning Research
Apple Machine Learning Research
小众软件
小众软件
Hugging Face - Blog
Hugging Face - Blog
博客园 - 司徒正美
腾讯CDC
I
InfoQ
GbyAI
GbyAI
博客园_首页

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Infrastructure Spend in the AI Era
mooreds · 2026-04-30 · via Hacker News - Newest: "AI"

At a recent industry event, conversation turned – as it always seems to these days – to the economics of the AI buildout. It’s no secret that the AI race has involved massive and escalating capital investments in datacenters and other infrastructure, hardware, power and related cost centers.

For most of the conversation’s participants, however, it had been some time since anyone – us included – had examined the numbers in detail, both for the slope of the trajectory and for the context around the spending itself.

While any analysis of this type is limited by the data that’s available – large important players like Anthropic and OpenAI for example are, for now, private companies and therefore don’t report their metrics publicly – it is nevertheless worth looking at the investments large cloud players have made in recent years, and how they might compare to non-infrastructure centric technology vendors like Apple.

For starters, then, here is the Plants, Property and Equipment (PP&E) spend for the selected vendors over the past decade. As a side note, these PP&E figures exclude operating lease right-of-use (ROU) assets because the point of interest here is actual capital build out.

Of note here are the relative rankings in PP&E spend of the investments, as well as the slope pre- and post-ChatGPT release. Additionally, as has been well documented elsewhere, Apple has not felt compelled to respond to this cycle’s frenzied wave of datacenter construction and its PP&E spend has remained static while that of its industry peers has soared.

Next, here’s a look at the changes in PP&E spend per company year on year.

The most important note here is to ignore the 2023 spike in Oracle’s PP&E; that’s an artifact of its 2022 $28B acquisition of the electronic health records company Cerner, with its datacenter, infrastructure and facilities hitting Oracle’s books in the following calendar year.

Other than random spikes in investments from Amazon, Meta and others, the only significant takeaway from this chart are the slopes again pre- and post-ChatGPT. Year on year growth in PP&E spend had plateaued and arguably declined heading into 2022, which is appropriate as the cloud market was maturing six years in. But these trends took an about face in the wake of ChatGPT’s breakout success, and increases in PP&E spend immediately accelerated.

Arguably the most startling chart, however, is that of PP&E spend as a percentage of annual revenue.

Apple and Meta bookend this chart as the opposite ends of the spending spectrum. But it’s notable how close the trajectories of Amazon and Google, and later Microsoft and much later, Oracle are as a percentage of revenue. It is eye opening that all but one of these companies – Apple being the notable exception – are spending at least half of their revenue figure, and most well north of that, on new infrastructure.

That level of investment would have been unthinkable a decade ago. Today, the chart suggests it’s table stakes unless you’re a commercial device retailer.

While PP&E spend is too blunt an instrument to perform a much more detailed analysis, it both points to the extreme level of investment required to be regarded as a credible player and raises significant questions about where, when and how the return on these outsized investments will arrive.

Disclosure: Amazon, Google, Microsoft and Oracle are RedMonk customers. Apple and Meta are not currently customers.