Six Numbers That Help Frame The AI Boom Before Earnings
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🔍 Read the full analysis: Six Numbers That Help Frame The AI Boom Before Earnings on ThorstenMeyerAI.com

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TL;DR

SK hynix reported preliminary third-quarter operating profit of 83.3 trillion won, 7.3 times its year-earlier result, while Microsoft and Alphabet were due to report on October 28 and Amazon on October 29. Six figures in the source material point to strong chip profits and rising investment, but also concentrated earnings growth and an unresolved question: whether AI revenue will cover the cloud giants’ spending.

SK hynix reported preliminary third-quarter operating profit of 83.3 trillion won on October 28, up 7.3 times from a year earlier, as investors prepared for quarterly results from Microsoft and Alphabet that evening and Amazon on Thursday. The contrast captures the central question before Big Tech reports: AI infrastructure is generating striking profits for some suppliers, but the returns on cloud companies’ much larger investments remain uncertain.

The six figures in the source material show different parts of the AI investment cycle. SK hynix reported 104.6 trillion won in revenue, up 328% year over year, and an 80% operating margin. Its net profit, however, fell 58% from the previous quarter to 39.8 trillion won, which the company attributed to non-operating items. The results were preliminary and unaudited.

Two figures track the concentration of US earnings growth: FactSet’s October 19 estimate said removing Micron and Nvidia would reduce expected S&P 500 third-quarter earnings growth from 29% to 20%. A separate FactSet blended estimate put growth at 29.5% as of October 23. These are estimates, not final reported results, and several major companies had yet to report.

Another pair concerns investment and the broader economy. Alphabet, Amazon, Microsoft and Meta plan a combined roughly $725 billion to $745 billion in 2026 capital spending, a total calculated from their guidance in the source. US September shipments of core capital goods rose 1.2%, while orders for computers and related products were up 20.3% for the year, according to the Census Bureau. The final figure looks at risk: analysts expected Alphabet and Amazon to post negative free cash flow again in the third quarter, according to the source.

At a glance
analysisWhen: Preview dated October 28, 2026, before…
The developmentSK hynix reported record quarterly operating profit ahead of Microsoft, Alphabet and Amazon earnings, sharpening attention on AI profits, investment and cash flow.
Thorsten Meyer AI
Preview · 28 Oct 2026

Infographic 01 · The boom in numbers

Record profits, narrow growth, rising bills.

Six numbers from company releases, FactSet and the Census Bureau, before Microsoft, Alphabet and Amazon report.

7.3×SK hynix operating profit, Q3 2026 vs. a year earlier (83.3 trillion won, 80% margin)
20.0%S&P 500 Q3 earnings growth without Micron and Nvidia; with them 29.0% (estimate)
$725–745B2026 capex plans of Alphabet, Amazon, Microsoft and Meta (my sum)
+1.2%US core capital goods shipments in September (orders +0.5%)

Who carries the earnings boom

Q3 2026 earnings growth, year over year. Blended: reported results plus estimates.

  • S&P 500all 500 companies29.0%
  • Without Micron + Nvidiatwo companies removed20.0%
  • “Magnificent 7”Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, Tesla33.2%
  • Mag 7 without Nvidia + Metathe other five7.5%
  • The other 493rest of the S&P 50027.7%

The Wall Street Journal (Dow Jones Market Data) puts the two chipmakers at 34% of the expected growth. Top five contributors per FactSet: Micron, Nvidia, Meta, EchoStar, Boeing.

What the buyers plan to spend in 2026

Capital spending guidance, US dollars. Bars show the top of each range.

  • Amazonraised in July, citing memory prices~$220B
  • Alphabetraised twice; “significant” increase in 2027$195–205B
  • Microsoftcalendar 2026, after a lease accounting change~$175B
  • MetaQ3 free cash flow −$2.12B$135–145B

Q3 consensus: Alphabet free cash flow −$2.3B on $55.2B capex; Amazon −$9.9B on $58.7B. Definitions differ slightly (Microsoft includes finance leases).

Shovel seller

  • Revenue 104.6 trillion won, +328%
  • Long-term deals cover >50% of 2027–28 capacity
  • About 100 trillion won back to shareholders in 2026

Real economy

  • Core capital goods orders +10.9% this year
  • Computer orders +20.3% this year
  • Census data do not label AI; semiconductors excluded from orders

Debt nerves

  • Cost to insure Meta’s debt +177% this year, Amazon’s +129%
  • Oracle: $117B long-term debt, rated BBB-
  • Off-balance-sheet leases don’t show up as debt (S&P)

Sources: SK hynix 3Q26 release, 28 Oct 2026 (preliminary); FactSet, 19 Oct 2026; Alphabet Q2 call, 22 Jul 2026; Amazon via CNBC, 30 Jul 2026; Microsoft via CNBC, 29 Jul 2026; Meta Q3 release, 21 Oct 2026; FactSet consensus via CNBC, 27 Oct 2026; US Census Bureau, advance durable goods report, 27 Oct 2026. Capex sum and bar scaling: Thorsten Meyer.
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AI Profits Meet the Payback Test

The results matter because they can show whether AI investment is turning into durable earnings or mainly expanding the cost base. Chip and memory suppliers are already benefiting from demand for data-center equipment, with SK hynix’s results offering a striking example. For cloud companies, however, the near-term test is whether revenue growth and cash generation keep pace with the cost of building capacity.

The earnings picture is also concentrated in a small number of companies. FactSet’s calculation still showed 20% expected index growth after excluding Micron and Nvidia, so the wider market was not projected to contract. But the gap between 29% and 20% indicates how much those two companies influence the headline estimate. Readers should treat both figures as forecasts until reporting is complete.

Capital spending can support future services and infrastructure, but spending plans alone do not establish that the investment will earn an adequate return. Free cash flow, cloud growth and capacity plans can help investors judge the pace of spending against current business performance. The supplied material does not establish whether AI revenue will ultimately cover the investments.

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From Memory Chips to Cloud Spending

AI systems rely on large data centers, which require processors, high-bandwidth memory, networking equipment and power. SK hynix makes high-bandwidth memory used alongside AI processors. Its demand and earnings are therefore one indicator of the infrastructure buildout, though one supplier’s results cannot establish how profitable the whole industry is.

The source also describes a sharp split in markets: SK hynix shares rose during the Seoul session after its results, while China’s STAR50 index, which includes AI and chip companies, had fallen about 40% since July. Reuters reported the decline on October 26 and said it had erased about $480 billion in value; the index was still trading at around 100 times past earnings. These figures are a separate market signal, not a direct measure of US AI company earnings.

SK hynix said long-term agreements with 14 major customers cover more than half of its planned 2027 and 2028 capacity. The company forecast demand would exceed supply through 2030. That long-range outlook is the company’s forecast, not independently confirmed future demand. The source also reported that the company paused a review of funding or a possible listing for its US unit Solidigm, citing market volatility and a correction in semiconductor stocks.

“The company expects demand to exceed supply “through 2030.””

— SK hynix

The Return on AI Spending

The supplied material is an earnings preview dated October 28, written before the scheduled results from Microsoft, Alphabet and Amazon. It does not include those companies’ reported results, so their actual quarterly revenue, capital spending and free cash flow remain unknown here. The source says analysts expected Alphabet and Amazon to report negative free cash flow again, but that expectation must not be confused with reported results.

It is also unclear how quickly AI services will generate revenue that offsets data-center investment, how much planned capital spending will change, and whether current demand for memory and chips will persist. SK hynix’s future-demand forecast and customer agreements provide company-specific indications, not proof of industry-wide returns. The source’s figures do not establish how much spending is directly attributable to AI or what portion of future revenue it will generate.

Results and Guidance to Watch

Microsoft and Alphabet were scheduled to report on the evening of October 28, followed by Amazon on October 29. The source identifies capital-spending guidance, cloud growth, free cash flow and capacity as the measures to watch. Comparing those figures with the companies’ plans and the prior quarter can help show whether spending is accelerating and whether cloud businesses are expanding alongside it.

The source says it would add a short, dated update after the results, but no update was provided in the supplied text. Until those figures and management commentary are available, the earnings picture remains a preview: supplier profits are documented, while the cloud investment payoff is still an open question.

Key Questions

What did SK hynix report?

SK hynix reported preliminary, unaudited third-quarter revenue of 104.6 trillion won and operating profit of 83.3 trillion won. Operating profit was 7.3 times the year-earlier figure, and the operating margin was 80%.

Had Microsoft, Alphabet and Amazon reported when this preview was written?

No. The preview was dated October 28, 2026, before Microsoft and Alphabet were due to report that evening and Amazon on October 29. The supplied material does not include their results.

How much did Micron and Nvidia affect the earnings-growth estimate?

FactSet’s October 19 calculation said removing the two companies lowered expected S&P 500 third-quarter earnings growth from 29% to 20%. Those were estimates, not final reported growth figures.

What is the main unresolved issue for the AI boom?

The key uncertainty is whether cloud companies’ AI-related revenue and cash generation will grow enough to justify their infrastructure spending. The preview does not establish the eventual return on that investment.

Source: ThorstenMeyerAI.com

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