Before Big Tech Earnings, Ask These Six Questions Of The AI Data
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🔍 Read the full analysis: Before Big Tech Earnings, Ask These Six Questions Of The AI Data on ThorstenMeyerAI.com

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TL;DR

SK hynix reported record third-quarter operating profit on October 28, while Microsoft and Alphabet were due to report that evening and Amazon on Thursday. The earnings preview points readers to six checks on AI demand, profit concentration, investment, cash flow, real-economy orders and China’s market reversal; whether Big Tech’s AI returns can keep pace with spending remains unclear.

SK hynix reported a record third-quarter operating profit on Wednesday, as investors prepared for results from Microsoft and Alphabet that evening and Amazon on Thursday. The earnings preview argues that chip demand is producing real profits, but says this week’s reports will help show whether cloud companies’ AI revenues can support their large investment plans.

SK hynix reported preliminary, unaudited third-quarter revenue of 104.6 trillion won, up 328% from a year earlier, and operating profit of 83.3 trillion won, up 632%. Its operating margin was 80%. Net profit, however, fell 58% from the previous quarter to 39.8 trillion won, which the company attributed to non-operating items. Its shares rose during the Seoul session, according to CNBC.

The company said long-term agreements with 14 major customers cover more than half of its 2027 and 2028 capacity. SK hynix expects demand to exceed supply through 2030, a company forecast rather than a confirmed outcome. It also announced a 14 trillion won dividend and a 20 trillion won buyback this quarter, and plans about 100 trillion won in dividends and buybacks for 2026. Half of the buyback is for employee compensation and is not counted as a shareholder return by the company.

The preview identifies six measures to watch: chip and memory profits; the concentration of US earnings growth; planned capital spending; cloud growth relative to that spending; free cash flow and funding; and signs of capacity constraints or expansion. It also points to US core capital-goods shipments, which rose 1.2% in September, and computer and related-product orders, up 20.3% this year, as evidence of investment activity outside financial markets.

At a glance
analysisWhen: Published October 28, 2026, ahead of Mi…
The developmentA pre-earnings analysis published October 28 sets out six data points for evaluating whether the AI investment boom is producing sustainable returns.
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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Testing AI Spending Against Returns

The core issue for investors is whether the profits of chip suppliers will be matched by durable revenue and cash generation at the cloud companies buying their products. The preview estimates that Alphabet, Amazon, Microsoft and Meta plan a combined $725 billion to $745 billion in capital spending in 2026, based on its sum of company guidance. Spending at that scale can support demand for chips, data centers and related equipment, but it also makes cash flow and returns harder to ignore.

The earnings growth picture is also concentrated. FactSet’s blended estimate put S&P 500 third-quarter earnings growth at 29.5% as of October 23. A separate FactSet calculation cited in the preview found that removing Micron and Nvidia would lower the growth estimate from 29.0% to 20.0%. These are estimates, not final results, and the two companies are among those yet to report. Even without them, the cited 20% estimate would still represent growth; the point is that a small number of firms account for a substantial share of the headline figure.

For readers, the distinction matters because strong supplier earnings do not by themselves establish that AI investment will pay off across the industry. Cloud growth, free cash flow and company explanations of capacity plans can help clarify whether spending is generating income or requiring further financing.

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From Chip Profits to Cloud Spending

The source’s framing contrasts two parts of the AI supply chain: companies selling memory and chips, whose demand has driven reported profits, and cloud providers investing in the infrastructure to run AI services. SK hynix makes high-bandwidth memory, used alongside AI processors in data centers. Its latest figures offer a concrete measure of supplier demand, but they do not establish the returns earned by the companies building those centers.

The preview also points to China as a contrasting market signal. Reuters reported that the STAR50 index had fallen 40% since July, erasing about $480 billion in value by October 26, while trading at around 100 times past earnings. That is a market valuation measure, not direct proof that AI demand or company earnings have reversed. In the US, FactSet’s earnings figures are blended estimates, meaning they combine reported results with analysts’ expectations.

Several details temper the positive picture. SK hynix’s large operating profit came alongside a sequential decline in net profit, and its expectation that demand will exceed supply through 2030 remains a forecast. The company also halted a review of a possible pre-IPO funding round or listing for its US unit Solidigm, with its CEO citing market volatility and a correction in semiconductor stocks, according to the source material.

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

— SK hynix

Cash Flow and Demand Still Unproven

The earnings preview was written before the Big Tech results, so the companies’ actual quarterly figures and updated guidance were not yet available. The source says analysts expected Alphabet and Amazon to report negative free cash flow again for the third quarter; that is an expectation, not a reported result. The companies’ cloud growth, capital spending and explanations of capacity will need to be checked against their releases and calls.

It is also unclear how quickly AI revenue will cover infrastructure costs, how long current supply constraints will last, or whether the planned investment will generate sufficient returns. The data cited do not settle those questions. SK hynix’s demand forecast is its own, and the market fall in China cannot by itself establish a broader reversal in AI activity.

Earnings Reports Will Test the Numbers

Microsoft and Alphabet were scheduled to report on Wednesday evening, October 28, followed by Amazon on Thursday. Investors will be able to compare reported cloud growth and cash generation with capital spending plans, and listen for management’s comments on data-center capacity and funding. The source preview says it plans a short, dated update after the reports are released; the results and any revised company guidance will determine how its pre-earnings assessment holds up.

Key Questions

What is the main development?

SK hynix reported preliminary third-quarter operating profit of 83.3 trillion won, while Microsoft, Alphabet and Amazon were due to report results. The preview uses those releases to assess whether AI investment is producing sustainable returns.

Why are investors watching cloud growth and free cash flow?

Cloud growth can indicate whether demand for AI services is expanding, while free cash flow shows how much cash remains after spending. Together, they offer a way to compare business growth with large data-center investment plans.

How concentrated is the earnings growth estimate?

A FactSet calculation cited in the preview estimated that removing Micron and Nvidia would lower S&P 500 third-quarter earnings growth from 29.0% to 20.0%. The figures are estimates, and several major companies had not yet reported.

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

No. The results confirm strong reported performance at one major memory supplier, but they do not establish that cloud companies will earn enough from AI to cover their investment. The preview describes that payback as still unproven.

Source: ThorstenMeyerAI.com

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