US Stocks Rise, but the AI Trade Splits Into Winners and Losers

The Fed held rates and the 10-year yield sat near 5%. Oracle jumped 10.73%, while Microsoft and Google drew opposite reactions to earnings.

Rates are unchanged. Why did stocks rise?

All four major US indexes rose on Oct. 28.

IndexCloseChange
S&P 5007,743.98+0.28%
Nasdaq26,549.85+0.27%
Dow52,475.10+0.19%
Russell 20002,830.51+0.41%
SOXX$521.94+2.13%

The major indexes gained only 0.2% to 0.4%, but the semiconductor ETF SOXX rose more than 2%. The pattern looks less like a new market-wide uptrend than like money concentrating in industries where earnings forecasts are improving.

The Federal Reserve held its benchmark rate at 3.75% to 4.00%. The vote was 10 to 2. The two dissenters wanted a 0.25-point increase. The Fed said economic activity is expanding strongly but inflation remains elevated.

The 10-year Treasury yield was about 5.05%. High yields still lower the present value of future earnings. The day's gains owed less to easier monetary policy than to expectations of better earnings at some companies offsetting the rate burden.

Chips were strong, but Nvidia fell

Memory and equipment makers led.

StockRegular-session change
SK hynix+13.30%
Micron+5.86%
Lam Research+5.39%
Applied Materials+5.07%
AMD+3.24%
Broadcom+2.77%
Nvidia-1.17%

SK hynix's strong results and an outlook for tight memory supply lifted memory-related shares. The rise in equipment makers reflects hopes that high memory profits could translate into added capacity and process investment.

New equipment orders have not been confirmed, though. Nvidia's one-day decline is also hard to read as proof that AI demand is slowing.

A more likely reading is that even within the AI supply chain, shares are diverging by each company's profitability and stage of growth.

Why did Oracle surge 10.73%?

Oracle offered more than AI revenue growth. It laid out a specific timetable for recovering its investment.

Fiscal 2030 revenue target: more than $225 billion.

Fiscal 2029 free cash flow target: more than $30 billion.

Oracle also set goals of turning free cash flow positive in the second half of fiscal 2028 and funding growth from its own cash starting in fiscal 2029.

These are management projections, not reported results. Meeting them requires data center construction, customer demand, financing and utilization to go as planned.

Even so, the market responded well to a concrete path by which expanding AI investment could eventually generate cash.

Same AI earnings season, different reactions: Microsoft up, Google down

Results released after the regular session showed the gap between the two companies.

Microsoft reported fiscal 2027 first-quarter revenue of $92.279 billion and adjusted EPS of $4.89. Azure revenue rose 48% from a year earlier, and Microsoft Cloud revenue rose 30%. That is evidence that AI spending is turning into actual cloud revenue.

Google's third-quarter 2026 revenue was $127.6 billion, up 25% from a year earlier. Google Cloud revenue was $30.7 billion, up 103%. On cloud growth alone, the numbers are very strong.

But the market reacted more sharply to misses on total revenue and net income, pressure on search advertising growth, and cash outflow from rising investment. Google's quarterly free cash flow was a deficit of about $9 billion, and capital expenditure reached about $51.3 billion. The shares fell roughly 9% to 10% in after-hours trading.

The drop therefore cannot be read as a failure of Google's AI business. The cloud unit grew. But valuation of the whole company has become stricter, taking in heavy capital spending and shortfalls elsewhere.

FAQ

Q. The Fed held rates. Isn't that good news for stocks?

  • A hold lowers policy uncertainty, but the possibility of a further hike and a long-term yield above 5% remain variables.

Q. Does Nvidia's decline mean AI chip demand is slowing?

  • One day of relative weakness is not enough to show that. Customer orders, revenue guidance, margins and inventory trends need to be checked together.

Q. Why did Google fall even though cloud revenue grew 103%?

  • Beyond cloud growth, expectations for overall results, search advertising, capital spending and cash flow were all priced in at once.

Q. Do AI chip companies keep the advantage?

  • For now they can benefit from rising capital spending. But if customers are slow to recoup investment or cut orders for long, the strain could spread to suppliers.

On Oct. 28, the market did not abandon its expectations for AI growth. It looks more like a market that has begun to demand firmer evidence that growth turns into real profit and cash.

The market has not given up on AI growth, but it appears to be demanding firmer proof that the growth turns into profit and cash.

Insight Times Editorial Desk

More by topic

Starting with this story's topics, then what readers are following now

Investor psychology, decision-making and books on investing

Fed

This story's topic23 storiesSee all →

The central bank of the United States, carrying a dual mandate — stable prices…

Is Bitcoin Coming Back? A Recovery That Still Has to Prove Itself

Bitcoin has slipped from above $126,000 to around $83,000 while AI stocks hog the spotlight. It is up more than 40% from its summer low, but it is too early to call a new bull market.

Investing

Gas Prices, Not Politics, Are Deciding This Midterm Market Story

Forecasts of a Republican defeat are not exaggerated. The House has tilted clearly toward Democrats, the Senate has moved from a toss-up to a slight Democratic edge, and Trump's net approval is the lowest of either term.

Macro

Why Elon Musk's 4% Growth Call Deserves a Serious Read

Elon Musk says AI could double US GDP growth next year from roughly 2% to 4%. The number that matters isn't 4%, it's the idea that intelligence is turning from scarce labor into replicable capital.

Macro

It's Not Just Hormuz: Why the Middle East War Is Becoming a Fed Problem Again

The US-Iran ceasefire has already collapsed, and the risk no longer sits in the Gulf alone. With the Red Sea and Saudi Arabia's bypass pipeline now under threat too, an energy shock is spreading into prices, the Fed, and growth-stock valuations.

Macro

Stocks Bounce, but the AI Selloff May Not Be Over: A Two-Week Playbook

The Dow rose more than 1% while the Nasdaq barely moved and semiconductors kept falling. A W-shaped retest looks more likely than a V, and the task now is surviving the next drop.

Investing

S&P 500 Slips 0.22%, but 73% of the Market Fell

Long-term yields above 5% weighed on small caps and semiconductors on Oct. 7. A strong 10-year Treasury auction and a few large tech names limited the index's losses.

Tech

10-Year Yield at 5.34%: The Problem Isn't a Missing Buyer, It's the Price

Washington and the AI industry are pulling in huge sums at once, and the bond market is demanding higher yields to absorb it. Equity investors now need to watch long-term rates, financing costs and AI payback alongside the Fed's next move.

Macro

HBM

72 storiesSee all →

Memory stacked next to the GPU.

Has Memory Peaked? Prices Are Cooling, but the Shortage Looks Set to Run to 2028

Price growth has slowed and consumer demand is already breaking. Server and HBM supply remains short, and Micron says more than 75% of its 2027 volume is already committed to customers.

Tech

AI Chip Peak Check: Demand Still Rising, Risk Building in 2027-2029 Supply and Funding

DRAM and NAND contract prices are still climbing and HBM suppliers hold the edge. Power shortages, AI financing costs and simultaneous memory expansion are the risks for later years.

Investing

US AI Data Centers Are Headed for 90GW. Gigawatts Now Matter More Than Dollars

Goldman Sachs expects US data center capacity to grow from 64GW at the end of 2026 to 90GW at the end of 2027. The AI race is moving from buying GPUs to building power plants and transmission lines alongside them.

Tech

How Far Can China Push DRAM Without EUV

CXMT says it has shrunk DRAM features to 11.95nm using quadruple patterning instead of EUV lithography. The real question is not whether China caught up, but how much more it now costs China to get there.

Tech

Memory Chip Supercycle: Not at Peak Yet, But 5 of 6 Warning Signs Are Flashing

Memory prices are still climbing, but the pace is slowing and PC and smartphone demand is starting to crack under the weight of higher chip costs. This looks less like a price peak and more like a profit plateau building toward the next supply cycle.

Investing

2027 Isn't the End: Citi's Case for a Memory Supercycle Running to 2031

Citi says the memory shortage timeline is stretching again. If AI shifts from "train once" models to continual learning, HBM, server DRAM and enterprise SSDs could all fall short at the same time.

Tech

The Real ASML Number Isn't the 3% Pop, It's the 30% Capacity Hike

ASML's rally isn't just an AI trade. Customers are already locking in 2027 tool slots, and ASML is raising Low-NA EUV capacity by roughly 30% to keep up.

Investing

A building that houses servers and networking gear and supplies them with powe…

Tesla Energy's 13.7GWh Paradox: Expectations Ran Faster Than Deployments

Q2 deployments recovered but margins collapsed. Q3 set a record for deployments and still missed estimates. The issue is not the size of AI power demand but how fast it converts into Tesla revenue and profit.

Tech

Why the White House Swapped "AI" for "Super Intelligence"

Executive Order 14434 renames AI across the federal government without defining a new technology. The real story is about roughly $700 billion in capex, free cash flow and electricity.

Tech

Why Nvidia Is Happy to Help Make AI Models Nearly Free

Falling model prices can squeeze model makers. For Nvidia, the number that matters is the total volume of tokens generated worldwide and the compute that produces them.

Tech

Nvidia Put $2 Billion Into Lumentum. Optics May Be the Next Bottleneck, but the Stock Has Already Run

Optical networking is emerging as the next constraint on AI data centers. Investors need to separate the industry's growth potential from the price they are already paying for it.

Tech

Nvidia's Next Target After GPUs: Controlling What AI Agents Are Allowed to Do

OpenShell and Sentry are not about policing what an AI says. They are about controlling, at the server infrastructure level, which files and APIs an AI can touch, what it can execute, and who can actually pull the plug when something goes wrong.

Tech

AI Needs to Find $1 Trillion a Year From Somewhere to Pay Back Its Capex

Saying AI capex is big is no longer the point. The harder question is what end users have to pay for the buildout to pencil out, and Goldman Sachs puts that number at roughly $1 trillion a year.

Tech

Nvidia's $500 Billion Experiment: Wall Street Asks Who Backs the GPU, Not Just the Chip

The real issue in Nvidia's financing platform is not chip sales. It is how far Wall Street will trust GPU resale prices and rental income three to four years out.

Tech

NVDA

80 storiesSee all →

Amazon Goes After Nvidia's Strongest Moat, and It Is Software, Not GPUs

Amazon's open-source TorchNeuron aims to let existing AI code run on its Trainium chips. The contest comes down to the total cost of AI compute and the return on Amazon's $220 billion in annual capital spending.

Tech

The US-China Summit Didn't Erase Taiwan Risk for Chip Stocks

Washington's Taiwan policy held, but roughly $14 billion in arms sales is still on hold. For AI chip investors, the summit reads less like risk removed and more like a fragile balance extended.

Macro

ASML Is Discussing 2030 Orders. How Long Can the AI Chip Supercycle Last?

Despite bubble worries, ASML sees equipment shortages through 2028. Investors should watch future production capacity, not just today's orders.

Tech

AI's Next Bottleneck Is Money, Not Chips

Broadcom is lending Anthropic up to $42 billion, and Nvidia wants to build a $500 billion market for loans backed by GPUs. The AI race may turn on what rate buyers pay to borrow.

Tech

AMD Crossed $1 Trillion, and the Market Started Looking at CPUs Again

AMD's stock topped a $1 trillion market cap for the first time. The rally isn't just about being an Nvidia alternative. It reflects a reassessment of AMD as a full-stack AI infrastructure vendor, one that bundles CPUs, GPUs and networking, as AI shifts from chatbots to agents and reignites data center demand for CPUs.</deck> <parameter name="oneline">As AI moves from chatbots to agents, the market has started counting the CPU sitting next to the GPU again.

Tech

The AI Bubble Question Has Changed: By Late 2026, It's ROIC Over GPUs

There is no sign yet that AI investment is slowing. If anything, hyperscaler spending forecasts keep climbing. But as the scale of that capital has grown, the market's question has shifted from "is AI growing" to "when, and how much, does this capital come back as cash."

Tech

The Question Markets Asked This Week: Who Controls the AI Bottleneck, Not Who Owns AI

The Fed hiked again and the 10-year topped 5 percent, but the center of the AI trade held. The market is no longer asking whether AI is growing, it is asking who controls memory, power and capital.

Tech