🔍 Read the full analysis: Six Numbers Investors Can Follow To Assess The AI Boom on ThorstenMeyerAI.com
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TL;DR
A source article published Oct. 28, 2026, lays out six indicators for judging the AI boom ahead of Microsoft, Alphabet and Amazon earnings. The figures point to strong but concentrated chip profits, heavy planned investment and unanswered questions about cash returns; the article is a pre-results analysis, not a report on the companies’ results.
With Microsoft and Alphabet scheduled to report quarterly results on Oct. 28 and Amazon due Oct. 29, Thorsten Meyer’s analysis identifies six measures investors can use to test the AI boom: chip profits, earnings concentration, capital spending, cloud growth, free cash flow and funding, and management commentary about capacity. The article’s central finding is that suppliers are recording strong profits, while the returns on the cloud companies’ investment remain unproven.
The analysis leads with South Korean memory maker SK hynix’s preliminary, unaudited third-quarter results, released Oct. 28. Revenue was 104.6 trillion won, up 328% from a year earlier, and operating profit was 83.3 trillion won, up from 11.4 trillion won. Its reported operating margin was 80%. Net profit, however, fell 58% from the previous quarter, which the article attributes to non-operating items.
Those results are one of the six indicators: whether suppliers of memory and chips are converting AI demand into earnings. The other measures are how much of US earnings growth comes from Micron and Nvidia; the scale of planned data-center investment; whether cloud revenue growth keeps pace with spending; free cash flow and how companies fund investment; and what executives say about capacity and demand. The figures are indicators, not proof that current spending will earn an adequate return.
The article reports that Alphabet, Amazon, Microsoft and Meta together plan roughly $725 billion to $745 billion in 2026 capital spending, based on Meyer’s sum of company guidance. It also cites FactSet’s Oct. 19 estimate that removing Micron and Nvidia would lower expected S&P 500 third-quarter earnings growth from 29% to 20%. Separately, 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 Census Bureau data cited in the article.
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 measures speak to a key question facing investors: are large AI investments producing earnings and cash returns, or are results still concentrated among equipment suppliers and a small number of companies? Strong memory-chip profits show that demand is generating revenue for some businesses. But they do not establish that cloud providers will recoup the cost of building and operating data centers.
The gap matters because the four large technology companies named in the article plan hundreds of billions of dollars in capital spending. If cloud growth and future cash generation do not justify that spending, investors may reassess valuations and investment plans. Conversely, results that show revenue growing alongside spending could support the case for continued investment. The article presents these as questions to test in company reports, not conclusions about what those reports will show.
Concentration is another risk to interpreting headline figures. FactSet’s cited estimate says Micron and Nvidia account for a substantial part of expected index earnings growth. Growth that remains positive without them is still meaningful, but reliance on a handful of contributors makes broad market measures less representative of companies as a whole.
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The Results Investors Are Awaiting
The article was published as a preview on Oct. 28, 2026, before the scheduled results from Microsoft and Alphabet that evening and Amazon on Oct. 29. Its figures mix reported company results, government data, analyst estimates and company guidance; those categories have different levels of certainty. SK hynix’s results were explicitly described as preliminary and unaudited.
The analysis also describes a contrasting picture in China: the STAR50 index, tracking Chinese AI and chip companies, had fallen about 40% since July and erased roughly $480 billion in market value, according to Reuters as cited by Meyer. The article says the index still traded at around 100 times past earnings. This is a market comparison, not evidence that Chinese companies share the same financial conditions as US cloud providers or South Korean chip suppliers.
SK hynix said long-term agreements with 14 major customers cover more than half of its 2027 and 2028 capacity. Its expectation that demand will exceed supply through 2030 is the company’s forecast, not a verified outcome. The article also notes the company halted a review of funding or a possible listing for its US unit Solidigm, citing market volatility and a correction in semiconductor stocks, according to CNBC.
“The company expects demand to exceed supply through 2030.”
— SK hynix
The Payback Case Is Still Open
The central uncertainty is whether AI-related revenue will ultimately cover the cost of investment. The source article says analysts expected Alphabet and Amazon to report negative free cash flow again for the third quarter, but those results had not yet been released when it was written. The article therefore does not establish what the companies actually reported or whether their cash flow later improved.
Several market figures are estimates rather than final results. Nvidia and other major contributors had not reported at the time of publication, and FactSet’s earnings-growth calculation could change as more companies reported. Capital-spending totals are Meyer’s sum of company guidance, not audited spending already incurred. The article also does not give enough detail to determine how much of planned outlays is specifically for AI or what returns individual projects may generate.
SK hynix’s preliminary results, the duration of its customer agreements and its forecast for demand do not settle how long current pricing or shortages will last. The source says the company’s third-quarter net profit moved sharply from the previous quarter, while operating profit rose substantially year over year. The reasons for each measure and the effects of future market conditions remain distinct questions.
Company Reports Will Test the Metrics
The next immediate evidence is the scheduled quarterly reporting from Microsoft and Alphabet on Oct. 28, followed by Amazon on Oct. 29, according to the source article. Investors can compare their capital-spending guidance with cloud revenue growth, free cash flow and comments about data-center capacity. The article does not provide those companies’ results because it was written before they were released.
Meyer says he plans to add a short, dated update after the results become available. Until then, the six numbers serve as a framework for evaluating the reports, rather than a verdict on the AI boom. Subsequent quarters will be needed to show whether current spending produces sustained revenue and cash generation.
Key Questions
What is the actual news in this article?
Thorsten Meyer published a six-metric checklist for assessing the AI boom ahead of quarterly reports from Microsoft, Alphabet and Amazon. It is an analysis and preview, not a report of those companies’ results.
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 rose from 11.4 trillion won a year earlier; net profit fell 58% from the previous quarter.
Which six numbers or measures should investors watch?
The analysis points to supplier profits, earnings concentration, planned capital spending, cloud growth relative to that spending, free cash flow and funding, and management statements about capacity. Together, they help test whether AI demand is broadening and whether investment is generating returns.
Why does the article focus on free cash flow?
Free cash flow helps show how much cash a company has after operating needs and investment spending. The article says analysts expected Alphabet and Amazon to post negative free cash flow again for the third quarter, but their results were still pending when it was published.
Does SK hynix’s forecast prove that AI demand will stay high through 2030?
No. The statement that demand will exceed supply through 2030 is SK hynix’s forecast. The source does not establish that future demand or supply conditions will match the company’s expectation.
Source: ThorstenMeyerAI.com
