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🔍 Read the full analysis: Six Numbers To Consider When Weighing The AI Boom on ThorstenMeyerAI.com

TL;DR

SK hynix reported preliminary third-quarter operating profit of 83.3 trillion won, while major U.S. technology companies are due to report results this week. The data show strong demand for AI hardware and rising investment, but earnings are concentrated and the returns on data-center spending remain uncertain.

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 awaited quarterly results from Microsoft, Alphabet and Amazon that could show whether AI-related revenue is keeping pace with heavy investment. A six-number review published by ThorstenMeyerAI.com finds the boom is producing real profits for some chip suppliers, while questions remain about concentrated earnings and the cash returns from data-center spending.

The figures point to a sharp divide between companies selling AI hardware and the technology groups building and operating large-scale AI services. SK hynix, a supplier of high-bandwidth memory used alongside AI processors, reported 104.6 trillion won in revenue, up 328% year over year, and an 80% operating margin. Its release was preliminary and unaudited. Net profit was 39.8 trillion won, down 58% from the previous quarter, which the source attributed 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. SK hynix forecasts that demand will exceed supply through 2030; that is a company projection, not an established outcome. It also announced a dividend and buyback package, while the source says part of the buyback is tied to employee compensation.

U.S. earnings estimates show another concentration risk. FactSet’s October 19 analysis said removing Micron and Nvidia would lower expected third-quarter S&P 500 earnings growth from 29% to 20%. Those figures are estimates, and several major companies had yet to report. Separately, the review calculates that Alphabet, Amazon, Microsoft and Meta plan roughly $725 billion to $745 billion in 2026 capital spending, based on company guidance. The results due this week may clarify whether cloud growth and cash generation are supporting that spending.

At a glance
reportWhen: Published October 28, 2026, ahead of Mi…
The developmentA six-number review published October 28 examines AI-related profits, U.S. earnings estimates, capital spending and market volatility ahead of results from Microsoft, Alphabet and Amazon.
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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Hardware Profits Meet Payback Questions

The figures matter because they distinguish current sales and profits from the longer-term returns expected from AI investment. SK hynix’s results are evidence that demand for certain AI-related components is translating into unusually high reported operating profit. They do not establish that every AI supplier or technology company will see similar gains.

The large spending plans also carry consequences beyond company accounts. Building data centers requires chips, power, equipment and construction, and the review points to rising U.S. orders for computers and related products. At the same time, if the cloud businesses financing the buildout cannot convert their investment into durable revenue and cash flow, investors may reassess the value of that spending. That possibility is a risk under discussion, not a conclusion proved by the figures available before the results.

Market performance is uneven, too. The source reports that China’s STAR50 index, which includes AI and chip companies, had fallen about 40% since July and lost roughly $480 billion in value, while trading at around 100 times past earnings. The comparison shows how quickly market expectations can change; it does not by itself establish that the index’s valuation will persist or that a similar reversal will occur elsewhere.

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The Numbers Behind This Week

The review was framed as a preview dated October 28, 2026, before a cluster of quarterly reports. Microsoft and Alphabet were due to report Wednesday, followed by Amazon on Thursday. The source said it planned to add a dated update after the companies released their results, so the analysis available here should not be read as incorporating those reports.

Its wider data points include U.S. core capital-goods shipments rising 1.2% in September and orders for computers and related products increasing 20.3% so far this year, citing the Census Bureau on October 27. Those measures indicate activity in parts of the equipment economy, but they do not isolate how much demand came specifically from AI.

The source also cites FactSet’s October 23 blended estimate of 29.5% third-quarter S&P 500 earnings growth. FactSet’s contributor analysis, as reported on October 19, put the growth estimate at 29.0% before the comparison excluding Micron and Nvidia. These are forward-looking earnings estimates, not final results. The source notes that some companies’ comparisons are affected by one-time charges in the prior-year quarter.

„Demand to exceed supply through 2030.“

— SK hynix

Cloud Returns Remain Unsettled

The central unknown is whether AI-related revenue and cash flow will eventually justify the scale of planned investment. The source says analysts expected Alphabet and Amazon to report negative free cash flow again for the third quarter, but does not provide the eventual results. Microsoft, Alphabet and Amazon had not yet reported at the time of the preview.

It is also unclear how representative SK hynix’s results are of the wider AI economy. The company’s figures are preliminary and unaudited, its long-range demand outlook is a forecast, and the source does not provide equivalent results from all chip suppliers or customers. U.S. earnings-growth estimates could change as more companies report, and the available data do not establish how much of the broader equipment demand is specifically attributable to AI.

Earnings Reports Test Spending Plans

The next key developments are the quarterly results from Microsoft and Alphabet on Wednesday and Amazon on Thursday, according to the October 28 preview. Investors will be able to compare reported cloud growth and free cash flow with the companies’ capital-spending plans, while listening for management comments on capacity and the pace of investment.

The source identifies four measures to watch: capital-expenditure guidance, cloud growth relative to that spending, free cash flow and funding, and statements about capacity. Those disclosures can add evidence about near-term demand and financing, but they will not by themselves settle the longer-term question of whether AI investment earns an adequate return. Any post-report update should be read separately from this pre-results account.

Key Questions

What is the main development in the report?

SK hynix reported preliminary record quarterly operating profit ahead of results from major U.S. technology companies whose spending plans are central to the AI investment debate.

How much did SK hynix earn in operating profit?

The company reported 83.3 trillion won in third-quarter operating profit, up 7.3 times from a year earlier. The release was preliminary and unaudited.

Why does the report say U.S. earnings growth is concentrated?

FactSet’s analysis said removing Micron and Nvidia would lower estimated third-quarter S&P 500 earnings growth from 29% to 20%. The figures are estimates, not final reported earnings.

What remains uncertain about AI spending?

It remains unclear whether revenue and free cash flow from cloud and AI services will ultimately justify the planned capital spending. The results from Microsoft, Alphabet and Amazon were still pending when the review was published.

Source: ThorstenMeyerAI.com

This content is for general information only and is not financial, tax or legal advice. Consult a qualified professional for decisions about your money.
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