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TL;DR
SK hynix reported record third-quarter revenue and operating profit on October 28, while Microsoft and Alphabet were due to report that day and Amazon on October 29. The figures point to strong chip and memory demand, but also concentrated earnings growth, heavy data-center spending and questions about when that spending will generate cash.
SK hynix reported record preliminary third-quarter revenue of 104.6 trillion won on October 28, with operating profit reaching 83.3 trillion won, as investors awaited quarterly results from Microsoft and Alphabet later that day and Amazon on Thursday. The contrast highlights the central question for the AI boom: chip demand is producing exceptional profits, but the returns on the much larger investments by cloud companies remain under scrutiny.
SK hynix, a supplier of high-bandwidth memory used alongside AI processors, said its third-quarter revenue rose 328% year over year, while operating profit increased 632% from 11.4 trillion won a year earlier. Its operating margin was 80%. The company’s release was preliminary and unaudited. Net profit was 39.8 trillion won, down 58% from the previous quarter, which the source account 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 forecast that demand would exceed supply through 2030; that is the company’s outlook, not an independently established outcome. It also announced a 14 trillion won dividend and a 20 trillion won share buyback for the quarter. The source says its planned 2026 dividends and buybacks total about 100 trillion won, while noting that half of the buyback is earmarked for employee compensation and is not counted by the company as shareholder return.
The broader earnings picture is less evenly distributed. FactSet’s blended estimate put third-quarter S&P 500 earnings growth at 29.5% as of October 23. A FactSet analysis dated October 19 found that removing Micron and Nvidia would reduce the index’s expected growth from 29.0% to 20.0%. Those figures are estimates, and several large contributors had not yet reported. Separately, 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 company guidance.
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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AI Profits Meet Spending Pressure
The numbers show why this week’s reports matter beyond the technology sector. Memory and chip suppliers are already recording substantial profits from demand for AI infrastructure. The cloud companies funding that infrastructure face a different test: whether growth in AI-related services can keep pace with the cost of data centers, processors, power and other capacity.
According to the source, analysts expected Alphabet and Amazon to report negative free cash flow again for the third quarter. That expectation is not a reported result, and quarterly cash flow can be affected by timing and other spending. Still, it puts capital expenditure, cloud growth and free cash flow at the center of investor scrutiny. Strong revenue or earnings alone may not answer whether the investment is paying back in cash.
There are also signs that demand reaches beyond technology companies. 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 Census Bureau figures cited in the source. Those data offer evidence of business investment, but do not by themselves show how much activity is specifically driven by AI or whether it will produce adequate returns.
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Signals From Chips to China
The source frames the AI supply chain as a contrast between companies selling infrastructure and companies buying it. SK hynix’s results are a clear signal of current demand for memory, while the cloud providers’ spending plans reflect an effort to build capacity ahead of expected use. Whether that capacity will be profitable depends on demand, utilization, pricing and the pace at which customers adopt AI services.
Market performance has also diverged by region. Reuters reported on October 26 that China’s STAR50 index, which includes technology and chip companies, had fallen 40% in less than four months, erasing about $480 billion in value. The index was still trading at around 100 times past earnings, according to the cited report. The decline illustrates that investor confidence can reverse even in a market associated with AI and chip growth; it does not establish that U.S. companies will follow the same path.
SK hynix’s own position contains both confidence and caution. It cited customer agreements and a long-term demand forecast, but its chief executive also said the company had halted a review of a possible pre-IPO funding round or listing for its U.S. unit Solidigm, citing market volatility and a correction in semiconductor stocks, according to the source. That decision is a company-specific development, not proof that the wider AI market is turning.
“Demand to exceed supply through 2030”
— SK hynix
The Payback Is Still Unclear
At publication, Microsoft and Alphabet had not yet reported the quarterly results discussed in the source, and Amazon’s report was scheduled for October 29. Their actual results, updated spending plans and management commentary were therefore not available. The source describes itself as a preview and says it will add a dated update after the reports; no post-report update is included in the material supplied here.
It remains unclear whether AI-related revenue will grow quickly enough to cover the cloud companies’ infrastructure costs, and how much of their spending is dedicated to AI rather than broader computing needs. The combined capital-spending figure is the source author’s sum of company guidance. The earnings-growth comparison is based on estimates, not final reported results, and even the 20% estimate excluding Micron and Nvidia would not establish how durable growth is.
SK hynix’s reported figures are preliminary and unaudited. Its 2030 supply-demand forecast could change, as could customer demand and investment plans. The source does not provide a consistent, independently verified measure of AI revenue or return on invested capital across the companies, so the six indicators describe different parts of the market rather than a single definitive measure of the boom.
Watch the Cloud Companies’ Results
The next concrete developments are Microsoft and Alphabet’s quarterly reports, expected on October 28, followed by Amazon’s on October 29. Investors are likely to compare reported cloud growth with capital-spending plans, examine free cash flow and listen for details on data-center capacity and customer demand. The source identifies those as the week’s key indicators, while the exact results and guidance remain pending.
After the reports, those disclosures can be compared with SK hynix’s preliminary results and with the forecasts already in circulation. Any update should be dated and distinguish company guidance from reported figures. The immediate question is not simply whether AI demand is growing, but whether the infrastructure buildout is translating into durable revenue and cash generation across more than a handful of suppliers and companies.
Key Questions
What happened at SK hynix?
SK hynix reported preliminary, unaudited third-quarter revenue of 104.6 trillion won and operating profit of 83.3 trillion won. It said revenue was up 328% and operating profit up 632% from a year earlier.
Why are Microsoft, Alphabet and Amazon’s results relevant?
The companies are among the major cloud providers investing heavily in computing infrastructure. Their cloud growth, capital spending and free cash flow can help investors judge whether AI-related demand is supporting the cost of that investment.
Is U.S. corporate earnings growth entirely dependent on AI chipmakers?
No. FactSet’s cited estimate showed S&P 500 earnings growth falling from 29.0% to 20.0% when Micron and Nvidia were excluded. The figures are estimates, and the remaining projected growth would still be substantial.
Does SK hynix expect memory demand to exceed supply through 2030?
Yes. SK hynix made that forecast, and said agreements with 14 customers cover more than half of its 2027 and 2028 capacity. The forecast is the company’s view, not a confirmed outcome.
What remains unknown?
The reports from Microsoft, Alphabet and Amazon were still pending in the source material. Their results and guidance will help clarify how quickly cloud and AI revenue is growing relative to spending, but the supplied material does not establish a market-wide measure of AI investment returns.
Source: ThorstenMeyerAI.com
