🔍 Read the full analysis: Before Big Tech Reports, Check These Six Signals On The AI Boom on ThorstenMeyerAI.com
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TL;DR
SK hynix reported preliminary third-quarter operating profit of 83.3 trillion won, up 7.3 times year over year, while Microsoft and Alphabet are due to report Wednesday and Amazon on Thursday. The results will help investors judge whether AI-related revenue is keeping pace with heavy investment, but the source material does not include the companies’ reports.
SK hynix reported preliminary third-quarter operating profit of 83.3 trillion won on Wednesday, 7.3 times its year-earlier figure, as investors awaited results from Microsoft and Alphabet later that day and Amazon on Thursday. The contrast between record profits at an AI memory supplier and the enormous spending plans of cloud companies puts a central question in focus: whether AI revenue can eventually cover the cost of building out capacity.
SK hynix, a supplier of high-bandwidth memory used alongside AI processors, said revenue reached 104.6 trillion won, up 328% from a year earlier, while operating profit rose from 11.4 trillion won. Its stated operating margin was 80%. The company described its figures as preliminary and unaudited. Net profit was 39.8 trillion won, down 58% from the previous 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 share buyback for the quarter. The source says about half of the buyback is tied to employee compensation and is not counted by the company as a shareholder return.
The preview identifies six indicators to watch: supplier profits, concentration in US earnings growth, capital spending, cloud growth, free cash flow and capacity or funding signals. It cites estimates that Alphabet, Amazon, Microsoft and Meta together plan roughly $725 billion to $745 billion in 2026 capital spending, based on the author’s sum of company guidance. It also points to US core capital-goods shipments rising 1.2% in September and computer-related orders increasing 20.3% this year, according to Census Bureau data dated October 27.
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.
Who carries the earnings boom
Q3 2026 earnings growth, year over year. Blended: reported results plus estimates.
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.
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 earnings releases matter because they can show whether the firms making the largest AI infrastructure investments are seeing business growth that justifies those outlays. Capital spending alone does not establish a return: investors will also look for cloud revenue growth, cash generation and explanations of how quickly new capacity can be used.
The source’s analysis describes the boom as profitable for some suppliers but concentrated and not yet proven in payback. That is an interpretation, not a settled verdict. Strong memory-chip results provide evidence of current demand, while large spending plans and expected negative free cash flow at some companies raise questions about the timing and financing of returns. The reports may sharpen that picture, but one quarter cannot settle the longer-term economics of AI investment.
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Profits and Market Signals Diverge
The preview notes that FactSet’s blended estimate for S&P 500 third-quarter earnings growth was 29.5% as of October 23. In an October 19 analysis, FactSet’s John Butters estimated that removing Micron and Nvidia would reduce the growth figure from 29.0% to 20.0%. Those figures use different dates and should be read as estimates rather than final reported results. A separate analysis cited in the source puts the two companies at 34% of expected growth.
Market performance is not uniform across regions. The source reports that China’s STAR50 index, which includes AI and chip-related companies, had fallen about 40% since July and erased roughly $480 billion in value, while still trading at around 100 times past earnings, citing Reuters on October 26. The index decline does not by itself establish that AI demand has weakened; it does show how differently markets can price the same broad theme.
SK hynix shares rose about 8% to 10% during the Seoul session, according to the source’s account of CNBC reporting. The same account says the company halted a review of a possible pre-IPO funding round or listing for its US unit Solidigm, citing market volatility and a correction in semiconductor stocks. These developments underline that strong operating results and investor caution can coexist.
“Demand to exceed supply “through 2030.””
— SK hynix
Revenue, Cash Flow and Capacity
The material is a pre-earnings preview dated October 28, 2026; it does not provide Microsoft’s, Alphabet’s or Amazon’s results. Their actual quarterly revenue, capital spending, free cash flow and management commentary remain unknown here. The source says analysts expect Alphabet and Amazon to report negative free cash flow again for the third quarter, but that is an expectation, not a confirmed result.
It is also unclear whether current demand and SK hynix’s customer agreements will translate into sustained sales and profits across the AI supply chain. The company’s forecast through 2030 is not a guarantee, and estimates of S&P 500 earnings growth may change as more companies report. The source’s combined 2026 spending range is the author’s sum of company guidance, rather than a single company-issued figure.
Results Set the Next Checkpoint
Microsoft and Alphabet are scheduled to report on Wednesday, October 28, followed by Amazon on Thursday, October 29. The indicators highlighted in the preview are capital-spending guidance, cloud growth relative to spending, free cash flow and comments on capacity and funding. Comparing those disclosures with the companies’ prior guidance will help establish whether investment is accelerating and whether reported business growth is keeping pace.
The source says it planned to add a short, dated update after the results were released, but no such update or company earnings figures are included in the supplied material. Until those reports are available, conclusions about how quickly AI investment is generating cash remain provisional.
Key Questions
What is the main development?
SK hynix reported preliminary third-quarter operating profit of 83.3 trillion won, while investors awaited earnings from Microsoft and Alphabet on Wednesday and Amazon on Thursday. The preview uses those events to identify measures of AI demand and investment returns.
What six signals does the preview recommend watching?
It points to supplier profits, concentration in US earnings growth, capital spending, cloud growth, free cash flow and capacity or funding commentary. Together, these measures can help distinguish strong demand from investment that has yet to produce cash returns.
Does SK hynix’s result prove the AI boom will last?
No. The result is evidence of strong current performance at one memory supplier. The company’s forecast that demand will exceed supply through 2030 is its own expectation, not proof of future demand across the industry.
What remains unknown before the Big Tech reports?
The supplied material does not include the companies’ actual quarterly results. Their reported cloud growth, capital spending, free cash flow and capacity plans remain unknown in this preview.
Source: ThorstenMeyerAI.com
