Six Figures To Help Make Sense Of The AI Boom
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🔍 Read the full analysis: Six Figures To Help Make Sense Of The AI Boom on ThorstenMeyerAI.com

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TL;DR

SK hynix reported record third-quarter revenue and operating profit on Oct. 28, while Microsoft, Alphabet and Amazon were due to report results later that week. The figures point to strong chip demand but also concentrated earnings growth, heavy planned investment and uncertainty about whether AI revenue will cover that spending.

South Korean memory-chip maker SK hynix reported record third-quarter revenue of 104.6 trillion won and operating profit of 83.3 trillion won on Oct. 28, offering fresh evidence of strong demand for hardware used in AI data centers. The results came as investors awaited quarterly reports from Microsoft and Alphabet that night, followed by Amazon on Thursday, with a six-figure scorecard highlighting both the boom’s profits and the unresolved question of whether technology companies can earn back their AI investments.

SK hynix said revenue rose 328% from a year earlier, while operating profit increased 632%, to 83.3 trillion won from 11.4 trillion won. The operating margin was 80%. The company’s preliminary results were unaudited. Net profit, however, fell 58% from the prior quarter to 39.8 trillion won, which the source account attributed to non-operating items. The difference shows why operating profit and bottom-line earnings can tell different stories.

The company said long-term agreements with 14 major customers cover more than half its planned production capacity for 2027 and 2028. Its expectation that demand will exceed supply through 2030 is a company forecast, not a confirmed outcome. SK hynix also said its board approved a 14 trillion won dividend and a 20 trillion won buyback for the quarter, within a plan to return about 100 trillion won to shareholders in 2026. The report noted that half of the buyback is for employee compensation and is not counted by the company as a shareholder return.

The scorecard’s other figures point beyond chipmakers. FactSet estimated on Oct. 19 that removing Micron and Nvidia would lower projected third-quarter S&P 500 earnings growth from 29.0% to 20.0%. The article also calculated that Alphabet, Amazon, Microsoft and Meta planned a combined roughly $725 billion to $745 billion in capital spending for 2026, based on company guidance. Analysts expected Alphabet and Amazon to post negative free cash flow again in the third quarter; those results were still pending.

At a glance
reportWhen: Published as a preview on Oct. 28, 2026…
The developmentSK hynix reported its strongest quarter on record, and a six-figure scorecard published ahead of Big Tech earnings set out the profits, investment and risks shaping the AI boom.
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.
Powered by Thorsten Meyer AI

AI Profits Meet Spending Risk

The figures describe an AI boom with real profits in parts of the supply chain, but they do not establish that the entire investment cycle will pay off. SK hynix’s results show how valuable memory chips have become as data-center operators add AI capacity. Yet the company’s performance cannot by itself show whether cloud providers will generate enough revenue from AI services to cover the cost of building and operating that capacity.

The concentration of projected earnings growth matters to readers following corporate results and markets. If two chipmakers account for a large share of expected growth, headline index figures can make broader company performance look stronger than it is. FactSet’s calculation still leaves projected growth at 20.0% without Micron and Nvidia, but that remains an estimate ahead of several companies’ reports. It is not a final measure of results.

Investment also reaches beyond company accounts. US 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 as cited in the source. Those figures indicate activity in parts of the business-equipment economy, but they do not isolate AI spending or establish what returns that spending will generate.

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The Numbers Behind the Preview

The source article framed the scorecard as a preview dated Oct. 28, 2026, before quarterly results from Microsoft and Alphabet and the next day’s report from Amazon. Its central distinction was between companies selling chips and memory to data-center operators and the cloud companies funding the buildout. SK hynix makes high-bandwidth memory used alongside AI processors, making its results a measure of demand for one important part of the infrastructure.

The scorecard also described a sharp contrast with China. It cited Reuters reporting that the STAR50 index, which includes Chinese AI and chip companies, had fallen 40% in under four months and lost about $480 billion in market value, while trading at around 100 times past earnings. That is a snapshot of a different market and period, not a direct comparison with SK hynix or US earnings. The source attributed the figures to Reuters’ Oct. 26 report.

SK hynix shares rose during the Seoul session after its results, according to CNBC, which reported a gain of more than 10% at its latest update; an earlier figure in the source placed the rise at about 8% to 10%. The source also said the company halted a review of funding or a possible listing for its US unit Solidigm, with its CEO citing market volatility and a correction in semiconductor stocks. Those details show that strong operating results do not remove market or financing uncertainty.

“Demand to exceed supply through 2030”

— SK hynix

Payback Still Awaits Results

At publication, Microsoft, Alphabet and Amazon had not yet reported the quarterly results the scorecard was designed to preview. Their actual AI-related revenue, capital spending and free cash flow for the quarter therefore remained unknown. The source’s expectations for negative free cash flow at Alphabet and Amazon were analyst forecasts, not reported results.

It is also unclear how much of the spending attributed to these companies will produce revenue specifically from AI, how quickly any returns may arrive, and whether demand for chips and memory will match current forecasts. The reported growth calculations rely partly on estimates, while year-over-year comparisons can be affected by unusual charges in the prior period. SK hynix’s long-term demand outlook is its own projection, and the source did not establish that it will be met.

Big Tech Reports Set the Test

The next milestone was the quarterly reports from Microsoft and Alphabet on Oct. 28, followed by Amazon on Oct. 29, 2026. The source identified four measures for readers to watch: updated capital-spending guidance, cloud growth compared with that spending, free cash flow and funding, and management commentary on capacity.

Those reports could clarify whether demand for AI services is rising alongside infrastructure costs and whether cash generation is keeping pace with investment. The source article said it planned to add a dated update after the results came out, but the supplied material contains no such update. The companies’ reported figures and any subsequent changes to spending plans remain outside the confirmed information here.

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. Revenue was up 328% and operating profit up 632% from a year earlier, according to the company figures cited in the source.

Why does SK hynix’s result matter to AI?

SK hynix makes high-bandwidth memory used alongside AI processors. Its results offer evidence of demand for a key data-center component, but they do not show whether cloud companies will earn enough from AI services to cover their wider investments.

How concentrated was expected S&P 500 earnings growth?

FactSet estimated that removing Micron and Nvidia would reduce projected third-quarter S&P 500 earnings growth from 29.0% to 20.0%. The figures were estimates cited in the source, not final results for every company.

What results were still pending?

At the time of the preview, Microsoft and Alphabet were due to report on Oct. 28, followed by Amazon on Oct. 29, 2026. Their reported quarterly results were not included in the supplied material.

What would show whether AI investment is paying off?

The source recommended comparing company capital-spending guidance with cloud growth, free cash flow and funding needs, alongside management comments about capacity. No single figure in the preview establishes whether the full investment cycle will generate adequate returns.

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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