# AI capex — X 热门讨论 (2026-09-19 03:01 UTC)

## @CoderJunkie (Coder Junkie) · 09-19 02:15 · ♥33 ↻1 💬35 Mapping the physical world with centralized LiDAR fleets is an operational dead end.

A single survey vehicle costs upwards of 50,000 to equip and deploy. By the time a fleet finishes scanning 50 metropolitan grids, half the road geometries, storefronts, and construction zones have already changed.

Static 3D maps decay faster than corporate balance sheets can refresh them.

Autonomous robotics doesn't need billion-dollar sensor fleets. It needs decentralized, real-time coordination.

@vangrid_io replaces obsolete hardware fleets with permissionless spatial market rails:

→ Targeted bounties spin up dynamically where AI agents lack physical ground truth → Local contributors capture real-world environments using mobile sensors → Zero-knowledge cryptographic proofs verify location and spatial integrity → Instant micro-settlements in USDC stream directly on @base

Zero hardware CAPEX for robotics labs. 100% verifiable physical coverage on demand.

Why burn billions maintaining depreciating vehicles when open networks can map reality continuously?

Map. Attest. Settle. Repeat.

The physical world changes every minute. Your spatial data should too.

#Vangrid #PhysicalAI #DePIN #Base https://x.com/CoderJunkie/status/2101133109181944266

## @bboczeng (勃勃OC) · 09-18 07:16 · ♥31 ↻5 💬28 和我的看法一样，通胀实际上是AI Capex带来的

这是一个美妙的矛盾，蛇终于咬到了自己的尾巴

AI基建无限扩张的繁荣，会带来更紧缩的环境，直到Capex的借贷压力无法维持

美联储加息次数只会增加，不会减少

我们应该会等到债务出现风险的那一天

华尔街机器人买卖带来的波动，忽略就好

一切，只需要耐心 https://x.com/bboczeng/status/2100846342662914152

## @exencial_RP (Exencial Research Partners) · 09-18 03:27 · ♥30 ↻11 💬1 India AI Enablers

$670bn of listed AI Enablers in India.

$398bn of it is 4 data-center operators.

The other 38 names are mostly power equipment, generation, transmission and capital goods.

21 of 42 sit in capital goods. 30 of 42 are small, mid or micro cap. Only 12 largecaps in the entire list.

Not an IT story. A grid, rack and capex story. > 引用 @exencial_RP: Number Of Listed AI-Enabler companies in India

AI Enablers are helping advance India’s AI infrastructure across three layers of power, semiconductors and data centers https://x.com/exencial_RP/status/2100788820652572765

## @MF_Camillus (LBM_LXXVIII) · 09-18 18:20 · ♥37 ↻4 💬0 Perfect summary of the extraordinary ROIIC behind AI capex

Recall the definition of ROIIC (Return on Incremental Invested Capital):

ROIIC = (NOPAT_t - NOPAT_t-3y) / (IC_t-1y - IC_t-4y)

Aggregate hyperscaler ROIIC peaked close to 40% in Q1 2026, versus an estimated cost of capital of only about 8%

Consensus expects ROIIC to fall as the current capex wave hits the denominator, but only to around 23% in Q3 2027, before recovering toward roughly 35% by 2030

Look at those numbers again and consider how implausible it is that 25–75bps adjustments in policy rates are the binding constraint on the AI buildout...

That does not mean monetary policy is ineffective, of course. It means that when incremental returns remain this far above the cost of capital, relatively modest changes in the risk-free rate are unlikely to materially alter the investment decision at the margin

The obvious implication is that the weight of tighter monetary policy will be felt elsewhere in the economy > 引用 @mjmauboussin: We recently published a new report called "To Free or Not to Free (Cash Flow)." Free cash flow (FCF) is a topic of interest for the hyperscalers. The main premise is that negative free cash flow is fine as long as the returns on investment are sufficient. In the report, we cover 5 areas: 1. We offer a working definition of FCF and examine where some leading technology companies (5 hyperscalers + 3 others) stand today using results and consensus forecasts; 2. We examine whether the acceleration of investment spending changes each company’s position within the life cycle; 3. We calculate return on incremental invested capital (ROIIC) for each of the companies; 4. We look at the relationship between free cash flow and ROIC; 5. We look at how consensus estimates have changed for sales, earnings before interest and taxes (EBIT), and capital expenditures. These drivers provide a sense of what determines ROIIC.

We use only results and consensus forecasts (which are subject to a lot of change as point 5 shows).

https://t.co/u39Y2l7Y5H https://x.com/MF_Camillus/status/2101013592451531231