2026-10-25

The Fed's October 28 Decision Lands the Same Day as Microsoft and Alphabet Earnings - Big Tech's AI Capex Reckoning Week

Written & reviewed by the TradeSmrt editorial team · 2026-10-25

In this article

What Happened
Why the Collision Matters
What to Take Away From This
FAQ
Sources

What Happened

The week of October 27-31 is shaping up to be one of the most crowded stretches on this year's market calendar, because two of the biggest possible catalysts land on the exact same day. On Wednesday, October 28, the Federal Open Market Committee announces its rate decision at 2:00 p.m. ET, followed by Fed Chair Kevin Warsh's press conference at 2:30 p.m. ET. Hours later, after the closing bell that same day, Microsoft (Nasdaq: MSFT) and Alphabet (Nasdaq: GOOGL) both report earnings - Alphabet's own investor relations page has the call set for 4:30 p.m. ET. The next evening, Thursday, October 29, Amazon (Nasdaq: AMZN) reports after the close. Apple (Nasdaq: AAPL) caps off the stretch slightly later, releasing fiscal Q4 2026 results on Monday, November 2.

What makes the timing itself the story is that investors normally get at least some separation between digesting a Fed decision and digesting mega-cap earnings. This week, they get almost none: a rate statement and press conference in the early afternoon, then two trillion-dollar-plus companies' quarterly numbers a few hours later on the same trading day. CNBC flagged exactly this collision in an October 23 piece headlined "Next week brings major risks for the stock market, just as the AI trade keeps faltering," and Reuters' Wall Street Week Ahead column the same day framed the stretch as a test of whether the "rickety AI market rally" can hold up.

On the Fed side, markets are leaning firmly toward a hold. The committee raised its benchmark rate a quarter point to 3.75%-4.00% on September 16 - its first hike in roughly three years - and CME FedWatch pricing now puts the odds of another hold near 90%, with the market's attention shifting from "hike or hold" toward whether a further move could come in December. That calculus is complicating itself in real time, though, as President Trump's criticism of Warsh - his own pick for the chair - has been escalating in the days leading into the meeting, raising the odds that every word in the statement and press conference gets read for signs of political pressure as much as economic signal.

The earnings side comes with harder numbers already on the table. Microsoft guided, back in July, for fiscal Q1 2027 (the July-September quarter being reported this week) revenue of $89.85-$90.95 billion and Azure growth of roughly 45% in constant currency. Its capex guidance for that same quarter was $50 billion - below the roughly $56 billion analysts had modeled, with much of the gap explained by an accounting change that extends the depreciation life of data centers and office buildings from 15 to 25 years. Full calendar-year 2026 capex guidance sits near $175 billion. Alphabet, for its part, raised its full-year 2026 capex guidance in its Q2 report from $180-190 billion to $195-205 billion and signaled spending would climb further in 2027; consensus for the Q3 numbers due this week sits at $127.4-$131.8 billion in revenue and $3.04-$3.10 in EPS. Amazon has lifted its own 2026 capex guidance from roughly $200 billion to $220 billion, with Q3 consensus calling for about $202.24 billion in revenue and $1.96 in adjusted EPS. CNBC's preview put combined hyperscaler capex for the year at roughly $800 billion across the group.

Why the Collision Matters

This isn't just an unlucky scheduling coincidence - it lands on top of two straight weeks in which markets have repeatedly re-litigated the same question: is Big Tech's AI spending actually paying off? Meta's October 21 report is the clearest recent example. Revenue grew 26% year-over-year, comfortably beating estimates, but the stock still fell roughly 7% the next trading day once investors absorbed that the company's future AI data center spending commitments had ballooned to $825 billion. Around the same stretch, chip equipment maker Lam Research posted record quarterly revenue and its first-ever 40%-plus operating margin - and still saw its stock drop 8-10% purely on guidance pointing to a sharp decline in China revenue exposure, a shock that dragged Applied Materials and ASML down with it and rattled the Philadelphia Semiconductor Index (SOX). IBM rallied initially on its own report before reversing once management struck a cautious tone on AI return-on-investment, and Tesla beat estimates even as its margins kept sliding and its capital spending doubled. The pattern across all four names is consistent: strong current-quarter numbers aren't enough on their own: when forward spending guidance comes in heavier than expected, and management can't clearly show how that spending converts into revenue, the stock gets punished - often harder than the current quarter's beat would suggest it should be.

That pattern was already visible in the index-level price action heading into this week. Thursday, October 22 saw the Nasdaq Composite drop 2.6%, its worst single day since June, with the SOX falling more than 6%. The very next day, Friday, October 23, Brent crude spiked to $117 a barrel on Iran-related geopolitical tension and the Dow fell 652 points (-1.23%) - yet the S&P 500's technology sector actually edged higher that same day, a rotation in which the group hit hardest by AI-spending fears one day became comparatively insulated the next, once oil took over as the dominant story. Layer the FOMC decision and three mega-cap earnings reports on top of that kind of whipsaw week, and the stakes compound: a hawkish-leaning Fed combined with yet another round of capex increases from Microsoft, Alphabet, or Amazon would stack higher discount rates on top of unresolved profitability questions - a combination that has reliably hit AI-linked valuations hard this earnings season. The reverse combination - a dovish-leaning Fed paired with cloud results that show margin expansion and backlog growth outrunning the spending increases - could instead give the shaky AI rally the evidence it needs to stabilize.

What to Take Away From This

When events land matters almost as much as what they say. A Fed decision and mega-cap earnings hitting the same trading day compress the time markets normally get to process each catalyst separately, which tends to amplify intraday and next-day volatility beyond what either event would produce on its own.
Check the direction of capex guidance before reacting to headline revenue or EPS. The last two weeks of earnings - Meta, Lam Research, IBM, Tesla - all showed the same mechanism: a beat on current-quarter numbers did not protect the stock when forward spending plans came in heavier than the market had priced.
Cloud profitability trends are the variable that actually settles the "is AI spending paying off" debate. Watch whether Google Cloud's operating margin keeps expanding faster than its revenue, whether Azure's growth clears its own 45% guidance, and how AWS margins trend - these are the concrete evidence investors are using to judge whether the spending narrative is working.
Don't let a single volatile week drive short-term trading decisions in isolation. The more useful exercise for a long-term investor is tracking how this week's guidance resets expectations for the AI investment cycle over the next several quarters, not reacting to any one day's swing.

FAQ

Why does it matter that the Fed decision and Big Tech earnings fall on the same day?

When the two events are separated by only a few hours, markets have far less time to price each one independently. If the Fed leans hawkish and Microsoft, Alphabet, or Amazon then raise capex guidance again hours later, rising discount rates and unresolved profitability concerns can compound each other, raising the odds of an outsized selloff. The reverse pairing - a dovish Fed plus reassuring cloud numbers - could just as easily produce an outsized rally.

Which company's capex guidance is the most market-sensitive this week?

All three have already raised their full-year 2026 capex guidance (Alphabet to $195-205 billion, Amazon to roughly $220 billion, Microsoft to around $175 billion for the calendar year). What markets will scrutinize most closely is whether any of the three raises guidance again, and whether that higher spending is accompanied by concrete evidence - cloud operating margins, backlog growth, AI-attributed revenue - that the money is converting into returns. Without that evidence, the Meta and Lam Research playbook from the past two weeks suggests the stock reaction could be sharply negative even on an otherwise strong quarter.

What does the roughly $800 billion hyperscaler capex figure actually represent?

According to CNBC's preview of the week, combined 2026 capital expenditure across the major hyperscalers - including Microsoft, Alphabet, Amazon, and Meta - is tracking toward roughly $800 billion. A meaningful share of that is being financed through debt and bond issuance, which is exactly why a Fed decision landing in the same week isn't just a separate story - borrowing costs directly affect how sustainable this entire spending cycle is, tying the two catalysts together more tightly than their calendar overlap alone would suggest.

Sources

This article is an original synthesis and analysis based on the reporting below, not a reproduction of the original articles. Please check the sources directly for the latest exact figures.

⚠️ This article is for informational purposes only and is not investment advice. Market conditions change constantly, so please verify the latest data before making any investment decisions.