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🔍 Read the full analysis: How To Assess AI Boom Health As Big Tech Reports on ThorstenMeyerAI.com

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TL;DR

SK hynix reported record third-quarter operating profit, while Microsoft and Alphabet were due to report later on October 28 and Amazon on October 29. The AI boom is producing real profits for chip suppliers, but its durability depends on concentrated earnings, rising data-center spending, cash flow and whether cloud revenue grows fast enough to justify investment.

SK hynix reported its strongest quarter on record on October 28, posting third-quarter operating profit of 83.3 trillion won, about 7.3 times its year-earlier result, as investors awaited quarterly reports from Microsoft and Alphabet later Wednesday and Amazon on Thursday. The figures show that demand for AI-related memory is generating substantial supplier profits, but the results due this week will help test whether cloud companies’ spending is translating into enough revenue and cash to sustain the buildout.

SK hynix, a major maker of high-bandwidth memory (HBM) used alongside AI processors, reported revenue of 104.6 trillion won for the third quarter, up 328% from a year earlier, according to its October 28 release. Operating profit rose 632% to 83.3 trillion won, giving the company an 80% operating margin. The release was preliminary and unaudited. Net profit was 39.8 trillion won, down 58% from the prior quarter, which the source attributes to non-operating items.

The company said long-term agreements with 14 major customers cover more than half of its planned 2027 and 2028 capacity. Its expectation that demand will exceed supply through 2030 is a company forecast, not an established outcome. SK hynix also announced a 14 trillion won dividend and a 20 trillion won buyback for the quarter. Its planned shareholder payouts for the year total about 100 trillion won, although half of the buyback is intended for employee compensation and is not counted by the company as a shareholder return.

The broader earnings picture is less evenly spread. FactSet estimated on October 19 that removing Micron and Nvidia would reduce expected third-quarter S&P 500 earnings growth from 29% to 20%. Those figures are estimates, and some major contributors had not reported. Meanwhile, Alphabet, Amazon, Microsoft and Meta plan a combined roughly $725 billion to $745 billion in 2026 capital spending, based on the source’s sum of their guidance. The reports will offer new information on spending, cloud growth and cash generation.

At a glance
reportWhen: October 28, 2026; Big Tech earnings pen…
The developmentSK hynix’s record results set a benchmark for assessing the AI boom ahead of Microsoft and Alphabet’s October 28 earnings and Amazon’s October 29 report.
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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The Test Is AI Spending Payback

The results matter because AI infrastructure requires large, continuing investment in processors, memory, data centers and power. Supplier profits show demand is real for some parts of that supply chain; they do not by themselves establish that the companies funding the infrastructure will earn an adequate return. That depends on customers buying AI services and on revenue and cash flow keeping pace with the cost of capacity.

The source identifies four measures to watch in the reports: capital-spending guidance, cloud growth relative to that spending, free cash flow and funding, and management commentary on capacity. Analysts cited in the source expect Alphabet and Amazon to report negative free cash flow again for the third quarter. That expectation is not a reported result, and the companies’ disclosures will determine whether it holds.

There are also signs of real-economy demand beyond company earnings. U.S. shipments of core capital goods rose 1.2% in September, while orders for computers and related products were up 20.3% this year, according to the Census Bureau figures cited in the source. Those measures provide context for investment activity, but they do not isolate how much of the change comes from AI.

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A Boom With Uneven Signals

The source frames the current picture as strong at the chip-supplier end but less settled at the cloud-company end. SK hynix’s results provide a concrete measure of the demand for memory, while the biggest technology companies’ spending plans show the scale of investment required to expand AI capacity. Profitability at suppliers and payback for cloud operators are different questions; one does not answer the other.

Market performance also varies by region and company. The source reports that China’s STAR50 index, which includes AI and chip leaders, had fallen about 40% since July and lost roughly $480 billion in value, while still trading at around 100 times past earnings, citing Reuters on October 26. Such figures indicate a sharp market reversal and high past-earnings valuations, but they do not alone establish whether the sector’s business prospects have changed.

Even SK hynix’s strong quarter came with a cautionary corporate signal: the company halted its review of a potential pre-IPO funding round or listing for its U.S. unit Solidigm, according to the source’s account of the company’s call. Its CEO cited market volatility and a correction in semiconductor stocks. That decision does not undo the reported results, but it illustrates that financing plans and investor expectations can shift even while demand is strong.

“Demand to exceed supply “through 2030.””

— SK hynix

Cloud Returns Remain Unproven

At the time of this October 28 preview, Microsoft and Alphabet had not yet reported, and Amazon’s results were due the following day. Their actual cloud growth, capital-spending plans and free cash flow were therefore not yet confirmed in the source. The cited forecast of negative free cash flow for Alphabet and Amazon is an analyst expectation, not a reported outcome.

It also remains uncertain how quickly AI-related revenue will cover the cost of new infrastructure, how much of the planned spending will be deployed during 2026, and whether current demand and pricing for memory will persist. SK hynix’s long-term demand outlook is its own forecast. The available information does not establish that the wider AI investment cycle is either a bubble or guaranteed to deliver lasting returns.

The earnings-growth figures have limits: they rely on estimates, several prominent companies had not reported, and comparisons for some contributors are affected by one-time charges in the year-earlier period. The China index decline is a market measure, not direct evidence of a corresponding decline in AI use or sales.

Earnings Reports Will Set the Next Markers

Microsoft and Alphabet are scheduled to report on October 28, followed by Amazon on October 29, according to the source. Their results and management commentary will provide the next evidence on AI-related demand, cloud growth, investment levels and cash generation. Investors will also be able to compare any updated spending guidance with the companies’ stated revenue trends.

The source says it plans to add a dated update after the reports are released. Until those figures and comments are available, the clearest confirmed signal is the one from SK hynix: exceptional supplier profits in a fast-growing market, alongside unresolved questions about how quickly the companies building AI capacity can turn investment into sustainable cash returns.

Key Questions

What did SK hynix report?

SK hynix reported third-quarter revenue of 104.6 trillion won and operating profit of 83.3 trillion won, according to its preliminary, unaudited October 28 release. Operating profit was about 7.3 times the year-earlier figure.

Why do Microsoft, Alphabet and Amazon’s results matter?

The companies are among the major planned spenders on AI infrastructure. Their reports can show whether cloud revenue and cash generation are keeping pace with investment. Microsoft and Alphabet were due to report October 28; Amazon was due October 29.

Does SK hynix’s profit prove the AI boom is sustainable?

No. It confirms strong results for a major memory supplier in the reported quarter. It does not establish whether cloud companies will earn enough from AI services to cover infrastructure costs or whether current demand will continue.

What numbers should readers watch in the earnings reports?

Key measures are capital-spending guidance, cloud growth, free cash flow and funding, along with what executives say about available capacity and demand. These indicators can help distinguish rising investment from demonstrated financial returns.

Source: ThorstenMeyerAI.com

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