🔍 Read the full analysis: The State Of The AI Boom: Six Figures Ahead Of Big Tech Reports on ThorstenMeyerAI.com
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TL;DR
SK hynix reported preliminary third-quarter operating profit of 83.3 trillion won, 7.3 times its year-earlier result, while the largest U.S. technology companies were due to report earnings. The figures point to strong chip demand, but heavy planned data-center spending and concentrated earnings growth leave the AI investment payoff uncertain.
SK hynix reported third-quarter operating profit of 83.3 trillion won on Wednesday, up 7.3 times from a year earlier, as investors awaited results from Microsoft and Alphabet that evening and Amazon on Thursday. The chipmaker’s preliminary figures show how strongly AI infrastructure demand is benefiting some suppliers, while the coming reports will test whether cloud companies’ expanding AI businesses can support their much larger spending plans.
SK hynix said revenue reached 104.6 trillion won, up 328% year over year and its first quarter above 100 trillion won. Operating margin was 80%. The results are preliminary and unaudited. Net profit was 39.8 trillion won, down 58% from the previous quarter; the company attributed the divergence from operating profit to non-operating items.
The company said long-term agreements with 14 major customers cover more than half of its planned capacity for 2027 and 2028. 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 buyback for the quarter. The source says its expected 2026 dividends and buybacks total about 100 trillion won, while noting that half of the buyback is for employee compensation and is not counted by the company as a shareholder return.
Separate from the chipmaker’s results, FactSet estimated on October 23 that S&P 500 earnings would grow 29.5% in the third quarter. An October 19 FactSet analysis said growth would fall from 29.0% to 20.0% if Micron and Nvidia were excluded. These are estimates, and several major contributors had not yet reported. The figures frame the week’s central question: whether strong hardware demand and cloud growth can justify the scale of planned investment.
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 the Payback Test
The figures reveal an AI boom with uneven returns. Chip and memory suppliers are booking large profits as data-center operators buy the components needed for AI systems. But the cloud companies funding much of the build-out are committing far more cash to infrastructure, and the return on that spending remains in question.
Alphabet, Amazon, Microsoft and Meta together plan roughly $725 billion to $745 billion in capital spending in 2026, according to the source’s sum of company guidance. Analysts expect Alphabet and Amazon to report negative free cash flow again for the third quarter. Those projections do not prove that AI investment will fail; they show why investors will look beyond revenue growth to cash generation, spending plans and the pace at which new capacity is used.
The earnings concentration also matters. If a small group of companies drives much of the market’s projected profit growth, changes in their results or outlooks can have an outsized effect on the headline picture. At the same time, FactSet’s estimate of 20% S&P 500 earnings growth without Micron and Nvidia would still represent substantial growth, not a contraction.
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Signals Beyond the Chipmakers
The AI spending cycle links chip suppliers to cloud and technology companies building data centers. SK hynix makes high-bandwidth memory, used alongside AI processors. Strong orders can lift supplier revenue and margins, while customers must pay for computing equipment and facilities before they can earn revenue from services built on them.
There are signs of activity outside company earnings. U.S. shipments of core capital goods rose 1.2% in September, and orders for computers and related products were up 20.3% this year, according to Census Bureau data dated October 27. These measures offer broader evidence of investment, but do not by themselves establish how profitable AI deployments will be.
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% since July, erasing about $480 billion in value. The index was still trading at around 100 times past earnings, Reuters said. That selloff is a warning about valuation and sentiment, not proof that U.S. or global AI spending will follow the same path.
“Demand will exceed supply “through 2030.””
— SK hynix
Cash Returns and Demand Still Unclear
At the time this report was written on October 28, Microsoft and Alphabet had not yet reported, and Amazon’s results were due the following day. Their results could clarify cloud growth, capital spending, free cash flow and whether management sees constraints in data-center capacity. The source provides no post-results update, so those outcomes cannot be stated here.
Other limits remain. The SK hynix figures are preliminary and unaudited; the company’s long-range demand statement is a forecast. FactSet’s earnings figures are estimates, and the source does not provide actual results for all the companies that were expected to contribute most. It is also unclear how quickly infrastructure spending will translate into sustained AI revenue and cash returns, or whether planned capacity will be fully used.
Earnings Calls Will Test Spending Plans
The next evidence is the quarterly reporting from Microsoft and Alphabet, followed by Amazon. Investors will be watching each company’s capital-spending guidance, cloud growth relative to that spending, free cash flow and comments about available capacity. Those measures can help show whether AI demand is producing enough business to support further data-center investment.
SK hynix’s customer agreements and outlook will also be relevant as the cycle develops, but they do not settle the wider question of returns for the companies buying its products. The results due this week can update the picture; they cannot, on their own, establish the long-term profitability of the AI build-out.
Key Questions
What did SK hynix report?
It reported preliminary, unaudited third-quarter operating profit of 83.3 trillion won, 7.3 times its result a year earlier. Revenue was 104.6 trillion won, while net profit fell 58% from the previous quarter.
Why are Microsoft, Alphabet and Amazon’s results relevant?
They are among the major companies investing in cloud and data-center infrastructure for AI. Their results and guidance may show how fast cloud businesses are growing relative to capital spending and cash flow.
Is the AI boom already paying for itself?
The figures in this report do not settle that question. SK hynix’s reported operating profit shows strong returns for one supplier, while analysts expected negative third-quarter free cash flow at Alphabet and Amazon. The longer-term payoff from cloud companies’ spending remains uncertain.
How concentrated is projected U.S. earnings growth?
FactSet said its estimate for S&P 500 third-quarter earnings growth would fall from 29.0% to 20.0% without Micron and Nvidia. The figures are estimates, and some large companies had not reported when the analysis was published.
Source: ThorstenMeyerAI.com
