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James Emanuel's avatar

Extraordinary CAPEX spending has become a defining feature of the hyperscalers, but treating them as a homogeneous group misses the point. Not all capital is being deployed with the same discipline, focus, or likelihood of generating acceptable returns.

Meta is the clearest example of capital misallocation. Over recent years it has burned tens of billions annually on moonshot projects, most notably the Metaverse, a strategy so central it prompted a corporate rebrand. Framed generously, this spending looks speculative; more realistically, it shows little prospect of producing meaningful returns any time soon, if ever. From a shareholder perspective, it is difficult to justify this scale of investment relative to the visibility of outcomes.

Amazon’s CAPEX profile looks fundamentally different. Its spending is targeted and diversified across a collection of businesses with exceptional long-term potential. AWS remains the market leader in cloud infrastructure and is effectively a toll booth on the AI revolution. It is now generating roughly $170bn in annual revenue and growing at around 24%, implying a doubling in under three years and a potential quadrupling within five. Importantly, AWS operates at materially higher margins than Amazon’s retail business, driving steady expansion in group profitability.

As Andy Jassy noted on the most recent earnings call, demand is so strong that the primary constraint is not customers, but the speed at which Amazon can bring new capacity online. He frames this as investing ahead of what the filings show as a strong, contracted and pipeline demand environment, rather than a speculative spend. He highlights that AWS can still run at very high operating margins (around the mid‑30s) even while they are ramping this capex, implying that incremental scale on this base should be extremely profitable over time.

Beyond AWS, Amazon is building a portfolio of high-optionality businesses. Project Kuiper aims to compete with SpaceX in low-earth orbit satellites. Zoox is developing purpose-built autonomous vehicles rather than retrofitting consumer cars, as seen with Tesla and Waymo. Advertising continues to scale rapidly with very attractive margins. Amazon’s in-house semiconductor business is producing chips that management claims are around 40% more price-performant than NVIDIA’s offerings, and these chips are already being used by Anthropic to train the Claude large language model. Viewed this way, Amazon is less a single company and more a federation of businesses operating under one capital allocation framework.

Seen through that lens, Amazon’s projected $200bn CAPEX spend in 2026 appears far less alarming. Spread across multiple profitable and fast-growing subsidiaries, with clear demand signals and immediate utilization, the odds of achieving attractive incremental returns look materially higher than headline numbers alone would suggest.

A further distortion emerges when comparing CAPEX across large tech companies without adjusting for stock-based compensation. Many firms are effectively spending enormous sums each year simply to offset dilution. This is often buried in footnotes rather than highlighted in GAAP summaries. Alphabet’s most recent earnings report shows nearly $48bn spent on offsetting stock-based compensation and paying associated taxes upon vesting (don't look at the SBC numbers in the cash flow from operations section - that is a fiction - a market value at the time of issuance, not the real value at the time of vesting). The capital used for this purpose produces no return for outside shareholders; it is a direct transfer of wealth to insiders and employees.

Amazon stands out here as well. It does not repurchase shares to mask dilution, so its cost of issuing stock based comp is far lower than its peers and its capital allocation is more transparent. Once you adjust for these differences, Amazon’s investment profile looks meaningfully superior to many peers.

Stock-based compensation also distorts cash flow metrics. Most companies add it back as a non-cash expense, inflating cash flow from operations. As Charlie Munger famously remarked, if employee remuneration is not a cash expense, what exactly is it? Without significant adjustments, free cash flow figures become misleading, particularly when SBC is large and persistent.

In that context, the scary CAPEX forecasts for 2026 cannot be assessed through simplistic, side-by-side GAAP comparisons. The reality is far more nuanced, and the quality of capital allocation matters more than the absolute dollars being spent.

My view is that some hyperscalers will ultimately burn enormous amounts of capital and generate poor returns, with Meta being the most obvious candidate based on recent history. Others, particularly Amazon, may be entering a rare window where unprecedented scale can be achieved with genuinely accretive economics by riding the AI wave at exactly the right moment.

Jassy has repeatedly emphasized that AWS is deploying new AI and core infrastructure capacity as fast as it can be installed, with utilization effectively immediate. He has described this environment as an “extraordinary opportunity” for AWS to scale. Taken seriously, that framing suggests today’s CAPEX surge may prove far more productive than markets currently assume.

Food for thought.

Zach's avatar

Great write up to put this in perspective. A few thoughts, bear with my amateur stock analysis ability.

Assuming a some of this investment is in hardware, I imagine maintenance and replacement from depreciation will eat a decent chunk of the future cash flow, hurting the ability to turn that cash flow into further reinvestments or earnings.

I did a back of the envelope summation of the revenue in the software ETF 'IGV' and got a figure of about $780B when excluding Microsoft. Assuming a 100% cannibalization, your 15% ROIIC figure already exceeds that entire industries revenue. Since the presumed purpose would be to drastically reduce B2B software expenditures it is difficult to see where this cash flow will come from. Of course other industries could be massively disrupted and the TAM could drastically expand, but still a point of note.

Lastly, you scared the hell out of me with your retweet of Matt Shumer's now viral AI warning on X today. But I wonder if even in spite of those warnings, the market is still massively overvaluing AI affiliated stocks. The recent run in energy stocks seems to be sniffing out something that most are overlooking. I think Matt can be correct and AI can be a poor investment at these prices. I would love to back into the expected return the market is pricing AI stocks at to justify these prices, but I have little confidence in my ability to accurately build a 3 stage FCF model. I guess I could just ask AI to do it.

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