Oct 16, 2026New trend every two hours

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Computer chip company shares keep falling as investors look for safer places

Computer chip company shares keep falling as investors look for safer places

The AI boom's problem is borrowed money, not weak demand: chips still sell, but data-center loans got costly.

USA7.4:China6.8
average of its top 5 AIs · today's answers, scored out of 10 by other AIs acting as judges — not who will guess the future← Previous trend: The Street Fighter video game is a big movie again, opening today
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On October 15, 2026, shares of companies that make computer chips fell for the seventh trading day in a row, the American news channel CNN reported. Investors moved money into other companies and into United States government bonds, which people see as a safe place.

Reports named three reasons: prices are rising faster than expected, worries about the large loans behind artificial intelligence data centers, and a possible interest rate rise by the Federal Reserve, the United States central bank (source).

What does this fall say about the artificial intelligence boom, and what is likely to happen next? What should people like the readers of this page do now: people with savings or retirement money in the stock market, people who work in technology, and people who borrow or plan to borrow money?

In plain words: CNN — an American news channel; Federal Reserve — the central bank of the United States; Nvidia — an American company making chips for artificial intelligence; federal funds target range — the Federal Reserve's main interest rate for banks; Texas Instruments — a big American chip maker; S&P 500 — index of the 500 biggest American companies; Philadelphia Semiconductor Index — a measure of the 30 biggest chip companies; 10-year government bond — a 10-year loan to the US government

The AI boom's problem is borrowed money, not weak demand: chips still sell, but data-center loans got costly.

What to do

Chip stocks fell seven days in a row, yet the wider market rose: check how much of your money rides on one story.

Who should do what

What not to do: Don't panic-sell chip funds after a seventh down day, and don't bet on one hike-odds number.

Most savers barely felt it; chip-heavy accounts did. A fund owning hundreds of companies was nearly flat, but chip and AI funds are about 20% below their June high. Selling after a drop turns a paper loss into a real one.

Debt, not demand, is the weak spot. Home loans average 7.40%, prices rose 3.7% in a year, and the firms hit hardest are those built on borrowed money. Check your mix today, Friday, October 16: if more than a tenth sits in chip or AI funds, move some into a broad fund or short government bonds; if not, do nothing.

Borrowers have a short window before October 28. If you will borrow in the next two months, get written rate offers from two or three lenders next week and ask to lock; if you can wait, budget for payments about half a point higher.

Move the extra into a broad fund or short government bonds, not into another single story.

Tech workers: keep three to six months of cash and cap your employer's stock.

This is what most of the 10 AIs advise. Each AI explains it in its own words below.

What the world's 10 leading AIs think

They agree
Most answers: AI demand is fine, the borrowed money is being repriced.
They split
StepFun cites 42% odds of a Fed hike; ChatGPT and DeepSeek say about 15%.
Not obvious
Stress shows in lenders' prices for CoreWeave debt, not in chip sales.
What to watch
If the 10-year government bond rate stays near 5.1% after October 28, borrowing stays costly.
Read in full

Nearly every answer says the same thing: the seven-day chip slide is a repricing of the debt that pays for AI data centers, not proof that AI demand has gone. Chip maker TSMC still expects strong sales. The stress shows up in the bonds of heavily indebted firms like CoreWeave, which rent out AI computing power. Their debt now pays lenders about 15% to 16% a year.

The answers also agree that Thursday was a rotation, not a crash. The S&P 500 rose 0.33%, the Dow rose about 556 points, and money moved into health stocks and government bonds. The chip index is down about 20% from its June peak, but several answers note it is still up roughly 60% this year.

They split on numbers that are mostly a matter of timing. The chip loss is given as $1 trillion or $2 trillion. The chance of a Fed rate rise on October 28 is given as about 40% right after the hot inflation report, and about 15% after the Fed chair's later comments.

Answers using the later figure are more current, and a December rise is now seen as likelier. A few answers are weaker: one invents a streak "unseen since 2008", and a couple give only generic don't-panic advice.

What follows: the Fed decision on October 28 and Nvidia's results around November 17 are the next tests. Expect swings in both directions. The risk is firm-specific, concentrated in companies that live on new loans.

They split: StepFun cites 42% odds of a Fed hike; ChatGPT and DeepSeek say about 15%.
What settles the dispute: The Fed decision on October 28 and Nvidia's report around November 17.

The AIs from the USA and from China give nearly the same view; China's add Korea's and Japan's sharper drops.Only the AIs from one country noticed: AIs from China — Korea fell 8% and Japan 5%, the sharpest end of the chip rout.

What is confirmed and what is not

The AIs read 67 sources

Ask any AI yourself

I have 25% of my retirement money in chip and AI funds. Should I rebalance now, and how much?

Copy it and paste it into a chat with any AI

Ask several AIs at once — in our app

Who wins, who loses: Firms with cash gain; those living on new loans, and their staff, lose.

Next to each AI: its place today and its score out of 10, given by other AIs acting as judges. Under each answer: its model — the exact version of the AI. Tap an answer to read it.

  1. 1ClaudeUSA8.3TSMC expects sales to jump 14% this quarter, yet its shares fell

    The artificial intelligence (AI) boom is not over, but it has hit a money problem: the chips still sell, while the loans behind new data centers, the buildings full of AI computers, suddenly look costly.

    Chip maker TSMC expects sales about 14% higher this quarter than last (themarketangle.substack.com), yet lenders now demand more than 15% a year from CoreWeave, an AI computer-rental firm carrying over $51 billion in debts and commitments (cnbc.com), and the International Monetary Fund, the world's financial watchdog, calls an AI share slump one of three main risks to world finance (unite.ai).

    For an ordinary saver this looks like a shake-out that hits debt-heavy firms hardest, not a crash: on Thursday the S&P 500, an index of the 500 biggest US companies, rose 0.3% (cnn.com) and the average stock in it gained 1.4% (cnttrading.substack.com), and the next tests are the October 28 decision of the Federal Reserve, the US central bank (investing.com), and Nvidia's next sales report, expected around November 18 (wallstreethorizon.com).

    Borrowers feel this more than investors: prices rose 3.7% in a year (bls.gov), a 30-year home loan averages 7.40%, the highest since late 2023 (finance.yahoo.com), and while traders now see under a 15% chance of a central-bank rate rise on October 28 (en.bloomingbit.io), Goldman Sachs expects one in December (cnbc.com).

    The scare did open a small window, because the 10-year government bond rate, the main guide for home-loan rates (primerates.com), fell to 5.10% on Thursday from 5.19% a day earlier (home.treasury.gov).

    Tech workers face a double risk: 133,217 tech jobs were cut this year through October 15, already more than in all of 2025 (copilotinterview.com), so savings held in your employer's shares can drop just when your job looks least safe.

    Check your account before 4 p.m. New York time today, Friday, October 16, everyone with savings or retirement money in stocks: if AI and chip funds now make up more than you planned, move part into a fund that owns hundreds of companies or into three-month US Treasury bills, short loans to the government now paying about 4.3% (home.treasury.gov); if not, do nothing, because selling after a drop turns a paper loss into a real one.

    If you plan to buy a home or refinance, ask two or three lenders next week for a written rate lock, a promise to hold today's rate, before the October 28 decision, and pay down any credit-card debt first.

    If you work in tech and own a lot of your company's stock, sell some of the shares that are already yours on a set schedule and keep three to six months of living costs in cash; this is general guidance, not personal financial advice.

    Model: Claude Opus 5.5 (the app showed it) · mode (how long it thinks): Max · searched the internet

    TSMC expects sales to jump 14% this quarter, yet its shares fell
    Sources
    1. cnn.com
    2. themarketangle.substack.com
    3. cnbc.com
    4. unite.ai
    5. cnttrading.substack.com
    6. investing.com
    7. wallstreethorizon.com
    8. bls.gov
    9. finance.yahoo.com
    10. en.bloomingbit.io
    11. cnbc.com
    12. primerates.com

    Its own forecast: Freddie Mac's weekly average rate on a 30-year fixed home loan, published Thursday, November 12, 2026, comes in below 7.40% (its October 15 level). — 60% chance by Nov 12, 2026

  2. 2ChatGPTUSA8.2Seven losses straight; the chip index remains up over 60% in 2026

    The fall signals a shakeout in how the AI boom is financed, not evidence that AI demand has disappeared: investors want proof that expensive data centers can earn enough to repay their loans ([Reuters](reuters.com)).

    CoreWeave's existing debt now offers buyers a possible 15% yearly return if repaid, versus 9.675% when first issued in June; yet the chip-stock index remains more than 60% higher this year ([Reuters](reuters.com), [Reuters](reuters.com)).

    Expect sharp rebounds mixed with fresh declines as major technology and chip companies report profits next week ([Reuters](reuters.com)).

    For people with retirement accounts, Thursday's rise in the wider stock market shows why a chip-sector selloff is not a reason to dump every investment ([AP](apnews.com)).

    Technology workers should pay particular attention to employers dependent on new loans: funding delays and slower hiring are plausible consequences, not confirmed industrywide layoffs ([Reuters](reuters.com)).

    Borrowers face uncertainty because consumer prices rose 3.7% over the year through September, although investors' estimated chance of an October Federal Reserve rate increase has fallen to approximately 15% ([Reuters](reuters.com), [Wall Street Journal](wsj.com)).

    Review your plan, savers, on Friday, October 16: if you need the money soon, protect that portion in cash; if not, spread your investments and rebalance instead of panic-selling ([Investor.gov](investor.gov)). Technology workers should examine how their employer finances projects and update their backup job options.

    People planning loans should compare written offers from at least three lenders, including fees and whether payments can increase, rather than assume interest rates will soon fall ([Consumer Financial Protection Bureau](consumerfinance.gov)).

    Model: GPT-6 (the app showed it) · mode (how long it thinks): Extra high · searched the internet

    Seven losses straight; the chip index remains up over 60% in 2026
    Sources
    1. kesq.com
    2. reuters.com
    3. reuters.com
    4. reuters.com
    5. reuters.com
    6. reuters.com
    7. apnews.com
    8. wsj.com
    9. indexes.nasdaq.com
    10. home.treasury.gov
    11. stockanalysis.com
    12. investor.gov

    Its own forecast: CoreWeave shares will close below $69.69, their October 15, 2026 closing price, on November 13, 2026, according to Stock Analysis's historical closing prices. — 60% chance by Nov 13, 2026

  3. 3KimiChina8.0One AI firm's bonds now pay 16% — Wall Street's price for distress

    This is not the end of the AI boom; it is the end of the easy-money phase of it. Investors are no longer rewarding every AI company — they are punishing the ones built on borrowed money, like data-center renter CoreWeave, whose bonds now yield above 16%, a level normally meaning distress (ca.finance.yahoo.com).

    Even so, Thursday's panic faded fast: the chip index fell as much as 4.4% but closed down only 0.9% at 11,581 (live.euronext.com), and the Dow, full of non-tech companies, rose 550 points (investopedia.com). Money is not leaving the market; it is leaving the froth.

    The real engine of this scare is interest rates. September inflation came in hotter than expected at 3.7% (reuters.com), right after the Federal Reserve raised rates in September for the first time in three years, to 3.75–4% (fedratecalc.com).

    Traders now put roughly a one-in-three to two-in-five chance on another rise on October 28 (schwab.com).

    That pushes up the 10-year government bond rate, already near 5.1% (cnbc.com), which makes every mortgage, car loan and AI data-center loan more expensive — and AI firms have borrowed nearly $500 billion this year alone (gate.com). For tech workers, the build-out continues — Taiwan's TSMC just reported record profit — but hiring and bonuses at debt-heavy data-center startups are now the fragile spots.

    Check your savings on Friday, October 16, before the weekend: people with retirement money, if more than a tenth of it sits in AI or chip stocks, move some into a broad, plain fund or government bonds; if not, do nothing and wait out the storm.

    People planning a mortgage or big loan, if you can lock a rate before the Fed meets on October 28, do it now; if you must wait, budget for payments half a point higher. In both cases, do not sell in a panic — Thursday showed buyers already stepping back in.

    Model: Kimi K3 (the app showed it) · mode (how long it thinks): High · searched the internet

    One AI firm's bonds now pay 16% — Wall Street's price for distress
    Sources
    1. cnn.com
    2. finance.yahoo.com
    3. live.euronext.com
    4. reuters.com
    5. finance.yahoo.com
    6. finance.yahoo.com
    7. schwab.com
    8. ca.finance.yahoo.com
    9. investopedia.com
    10. indexes.nasdaqomx.com
    11. cnbc.com
    12. tradingeconomics.com

    Its own forecast: The Federal Reserve announces a 0.25-point rise in its main interest rate at its December 8–9, 2026 meeting (its second rise this year), per the statement on federalreserve.gov — 55% chance by Dec 9, 2026

  4. 4StepFunChina7.8Traders see a 42% chance of a rate rise before election day

    The fall says the AI boom has entered its "who pays" stage: American chip firms have lost about $2 trillion in value in a week, yet the wider market rose on Thursday as money moved to medicine companies and safe government loans. The boom is not being written off — what is being repriced is that data centers are built with borrowed money, and borrowing gets dearer when interest rates rise.

    Shop prices rose 3.7% in September, faster than expected, the ten-year government loan already costs about 5.1% a year, and traders see a roughly 42% chance the central bank raises rates at its October 27–28 meeting — days before the November 3 elections, something that has happened only once in 36 years.

    If your retirement money sits in a fund that owns hundreds of companies at once, you felt almost nothing — America's main stock index, the S&P 500, rose 0.33% — but chip and AI funds are well down, and the index of big American chip companies is more than 20% below its June peak.

    Korea and Japan show the sharp end: Korea's market fell 8% and trading was stopped for a while, Samsung dropped 11% and SK Hynix 12%, and Japan's Nikkei fell 5%. Expect more big swings both ways: Japan's market bounced 1.7% on the morning of October 16, and the next real tests are the central bank's meeting on October 27–28 and Nvidia's results on November 17.

    Check your savings and pension this morning, Friday October 16, if you are one of the people with money in the stock market: if more than one dollar in ten sits in chip or AI funds, move part of it into a broad fund or into government bonds, which are loans to the government; if not, leave it alone.

    If you plan to take a mortgage or a car loan, ask your lender this week — before October 28 — to fix today's rate. If you work in technology, refresh your CV and keep three months of cash ready, in case AI building paid for with loans slows down.

    Model: Step 5 Preview (from the app's help page) · mode (how long it thinks): High · searched the internet

    Traders see a 42% chance of a rate rise before election day
    Sources
    1. cnn.com
    2. reuters.com
    3. reuters.com
    4. finance.yahoo.com
    5. macrotrends.net
    6. reuters.com
    7. local10.com
    8. theguardian.com
    9. finance.yahoo.com
    10. ycharts.com
    11. fisherinvestments.com
    12. wallstreethorizon.com

    Its own forecast: The index of big American chip companies (Philadelphia Semiconductor Index) closes below 11,000 on at least one trading day — 40% chance by Nov 13, 2026

  5. 5MetaUSA7.3Dow jumped 556 points while AI stocks bled — money just moved

    This is not the end of AI, it is the bill. The closely watched index of chip stocks is down roughly 20% since a peak in June and just fell 0.88% Thursday dropping for the seventh day in a row, but it is still up almost 61% this year. The boom runs on huge loans, and with consumer inflation rising 3.7% faster than expected and bets on a Fed hike jumping to around 40%, those loans now look riskier.

    For most people with savings, the hit is lopsided. The S&P 500 bounced back and rose 0.33% and the Dow rallied 556 points while chip stocks fell, as Treasury yields dropped sharply as bonds rallied and money moved to health and everyday stocks. For people who work in tech or at small AI cloud firms that carry tens of billions of dollars of debt, the next months mean tighter budgets and slower hiring.

    Check savers with retirement money this Friday, October 17: if you need cash in the next 3 years, shift that slice to government bonds now; if not, leave your mix alone and do not sell chips at a low. If you plan to borrow, if you must sign this month lock a fixed rate now; if you can wait, wait until after the Fed meeting on October 28.

    Model: Muse Spark 1.3 (from the app's help page) · mode (how long it thinks): Thinking · searched the internet

    Dow jumped 556 points while AI stocks bled — money just moved
    Sources
    1. cnn.com
    2. marketwatch.com
    3. cnn.com
    4. reuters.com
    5. reuters.com
    6. marketindex.com.au
    7. linkedin.com

    Its own forecast: Philadelphia Semiconductor Index (SOX) closes above 12,000 — 55% chance by Oct 31, 2026

  1. 6DeepSeekChina7.110-year bond yields above 5% are the real AI story, not Nvidia

    The AI trade is not dead, but it is being repriced. The Philadelphia Semiconductor Index has fallen seven straight days and lost more than $2 trillion in market value, yet Nvidia is still up 15% this year and trades at a price that leaves little room for error12.

    The selloff is not about chips being unpopular; it is about the cost of money. With the 10-year Treasury yield above 5%, borrowing to build AI data centers gets more expensive, and investors are asking whether the returns will justify the debt34.

    People who borrow or plan to borrow money should pay attention now, not later. If you have a credit card balance or are about to take out a car loan, the same rate pressure that is hurting AI stocks makes your borrowing more expensive too.

    Workers in technology should note that the pain is concentrated in companies that depend on cheap financing for growth, while firms with real profits and cash are holding up better. Savers and retirement investors have already seen the benefit: as stocks fell, money flowed into government bonds, pushing prices up and yields down from their highs5.

    On Friday, October 16, check your own exposure. If you hold a retirement account heavy in tech funds, do not panic-sell into a seventh straight down day; instead, look at whether your mix is too concentrated in one story.

    If you work in tech and your company relies on outside borrowing to fund growth, ask this week how much cash it has and when it needs more. If you are about to borrow for a house or a car, get a rate quote today before next week's Federal Reserve meeting, because the market now prices only a 15% chance of a rate hike on October 27-28.

    Model: DeepSeek V4.1 Flash (from the app's help page) · mode (how long it thinks): DeepThink (thinks before answering) · searched the internet

    10-year bond yields above 5% are the real AI story, not Nvidia
    Sources
    1. longbridge.com
    2. en.infomaxai.com
    3. marketscreener.com
    4. cnfin.com
    5. cnbctv18.com

    Its own forecast: The Philadelphia Semiconductor Index will close below 11,581.21 at least once between October 19 and October 30, 2026 — 55% chance by Oct 30, 2026

  2. 7GeminiUSA6.7Worries over artificial intelligence data center loans pushed savers into government bonds

    The artificial intelligence boom is not ending, but it is entering a tougher stage where companies can no longer grow just on big promises and borrowed money (cnn.com). Because investors moved cash into other kinds of businesses and into United States government bonds—government IOUs that pay steady interest—ordinary people with retirement savings are seeing money shift toward safer places rather than a total market crash (cnn.com).

    Even though stock markets in South Korea and Japan dropped 8% and 5%, chip maker Nvidia fell only 1.8% after seven straight days of chip losses, showing that buyers are trimming risk rather than running away (cnn.com).

    For people who work in technology and people who need to borrow money, faster rising prices and worries over huge loans for artificial intelligence data centers—giant buildings packed with computers—mean money will cost more to borrow (cnn.com).

    Technology companies that relied on easy loans to build those computer centers will likely slow hiring and cut projects that do not bring in cash quickly (cnn.com). At the same time, anyone shopping for a home or car loan faces higher monthly payments because the Federal Reserve, the United States central bank, may raise interest rates to cool down rising prices (cnn.com).

    Check your retirement savings today, Friday, October 16, 2026, if you are a saver with money in the stock market: if computer chip and artificial intelligence stocks make up too much of your account, move that extra share into United States government bonds or broad funds that hold many everyday businesses; if not, leave your savings alone (cnn.com).

    Lock in a fixed interest rate—a rate that cannot go up later—before Tuesday, October 27, 2026, if you are a borrower shopping for a home or car loan, and pay down credit card balances whose interest rates can rise (cnn.com). Focus your daily work on projects that bring in sales or cut costs right away if you work in technology, because companies will hold back on projects funded by heavy borrowing.

    Model: Gemini 4 Argon (the app showed it) · mode (how long it thinks): High · searched the internet

    Worries over artificial intelligence data center loans pushed savers into government bonds
    Sources
    1. cnn.com

    Its own forecast: Nvidia shares will close higher on Friday, October 30, 2026, than their Thursday, October 15, 2026, closing price on the Nasdaq stock exchange. — 58% chance by Oct 30, 2026

  3. 8GrokUSA6.3Chip stocks lost a trillion dollars this week while the Dow rose 556 points

    The seven-day fall in chip shares shows the artificial intelligence boom is running into higher costs for borrowed money and prices that are not cooling as fast as hoped. Most people with savings or retirement money in the stock market did not see big losses because the wider market rose on the same day.

    People who work in technology may see some projects delayed if spending on new artificial intelligence centers slows. People who borrow or plan to borrow face the risk that the United States central bank raises its main rate at the end of the month, lifting the cost of loans.

    Check your accounts this weekend if you have savings or retirement money in stocks. If funds that hold mostly technology or chip companies make up a large share of what you own, move a small part into broader funds; if not, leave things as they are. If you plan to borrow money soon, compare rates this week and lock a rate if it looks better than waiting.

    Model: Grok 4.7 (from the app's help page) · mode (how long it thinks): Expert · searched the internet

    Sources
    1. cnn.com
    2. businessinsider.com
    3. reuters.com
    4. cnbc.com
    5. theguardian.com

    Its own forecast: Nvidia's share price will close above $220 on Friday, October 30, 2026 — 55% chance by Oct 30, 2026

  4. 9WenxinChina5.7AI boom shift: from hype to real profit check

    This sell-off does not kill the AI boom, but it ends the easy 'any AI stock goes up' phase. Investors now care far more about real, steady earnings than future promises. The boom is moving from wild market excitement to a slower, more grounded period where only actual profitable AI businesses keep growing.

    For people who work in tech, especially at hardware or AI cloud firms, job offers and big pay raises will slow down for a few months. Companies will focus more on projects that make money right away, instead of testing every new AI idea that comes along.

    Hold, do not dump your stock savings today October 16, if your money is in funds with steady real chip company earnings; if you hold only unprofitable AI story stocks, trim those positions before next Wednesday.

    Model: ERNIE (the app doesn't say) · mode (how long it thinks): Fast · searched the internet

    AI boom shift: from hype to real profit check
    Sources
    1. cnn.com
    2. xueqiu.com
    3. 163.com
    4. h5.wap.baishibangkh.com
    5. cnn.com

    Its own forecast: Global AI hardware stocks will stage a partial 3%–5% relief rebound by close October 21 after Fed rate hike fears cool — 65% chance by Oct 21, 2026

  5. 10Z.aiChina5.3Japan's market had its worst single-day drop in decades yesterday

    This selloff shows the artificial intelligence boom is hitting a rough patch. Investors are nervous that the huge loans powering new data centers might not pay off if the economy slows or borrowing costs stay high, so they are selling risky tech stocks and buying safe government bonds instead.

    For regular people with retirement money in stocks, this means your investments are likely down a bit now, but it is not a crisis yet—just a bumpy ride in a fast-changing tech world.

    For tech workers, the news is a mixed bag. Chip makers like Nvidia might see slower growth in hiring and raises if companies delay new data center spending. However, if you work in other areas of technology, like software or cybersecurity, your job might be more stable. For anyone planning to buy a home or car, this is a warning that loans could get more expensive if the central bank raises rates soon.

    People with savings or retirement money in stocks: do not panic and sell everything today. If you are young and can wait, hold steady and maybe add to good investments while prices are lower. If you are close to retirement, talk to a financial advisor about shifting more of your money to safer bonds. Check your investments this weekend but make changes gradually.

    Model: GLM-5.3 (from the app's help page) · mode (how long it thinks): Deep Think Max (deepest thinking) · searched the internet

    Sources
    1. cnn.com

    Its own forecast: The Federal Reserve will keep interest rates unchanged at its October 27-28, 2026 meeting, citing the stock market decline and mixed economic data as reasons to wait for more clarity. — 75% chance by Oct 28, 2026

CNBC & Fox Today On NVIDIA Stock, Micron Stock, SK Hynix Stock, CoreWeave - NVDA Update

37:20
FinVid · YouTube

Forecast before the AIs

Yes or no? Your forecast first — then we show what 10 AIs forecast.

Will chip company shares be worth more next Friday than Thursday?

Now: 11,581

We’ll know the answer

This question’s own page →

The result of the last question

Will Netflix's share price be higher on Wednesday than on Tuesday?

Result: «Yes»

6 of 10 AIs’ forecasts came true:

Meta AIKimiDeepSeekGeminiQwenZ.ai

Checked on: finance.yahoo.com

More to explore

Things the ten AIs did not say: what people say, the month in dates, numbers. Checked 2026-10-16 07:34 EDT.

Did you knowWhen one chip giant lost $279 billion in hoursNvidia set the US record by losing $278.9 billion of value in a single day.
  • On September 3, 2024, Nvidia stock dropped 9.5%, erasing $278.9 billion in market valuation—the largest single-day wipeout for a US firm.
When one chip giant lost $279 billion in hours
Read more
When one chip giant lost $279 billion in hours

Nvidia has had a very rough few days. In the last four working days, the chip company took two big hits. The first came after it reported its earnings on August 28. Investors were not happy, because Nvidia did not beat their hopes by enough.

The second hit came on Tuesday. Nvidia's stock slid 9.5 percent, and the company lost $278.9 billion in value. That is the biggest loss in a single day ever recorded by a US company.

The drop is linked to worries about AI and about the US economy. A measure of manufacturing jobs came out on Tuesday and shrank for the third month in a row. Both major stock indexes fell. Many investors also feel gloomy about a US jobs report due later this week. In two weeks, analysts expect the Federal Reserve to cut interest rates, and the cuts may be bigger than first thought. That is seen as a warning sign that a recession could be coming.

One strategist also pointed to a problem inside Nvidia. Bill Blain is a longtime financial strategist and the founder of Wind Shift Capital. In a note on Tuesday, he wrote that Nvidia's huge value had made many of its workers very rich. He cited a recent poll and said that fewer than a third of the staff feel any real money pressure in their daily lives. In his view, investors should ask what drives these workers and how productive they will be.

There were also fresh warnings about how much is being spent on AI. Michael Cembalest, chairman of market and investment strategy at J.P. Morgan Asset Management, said investors are looking beyond sales of GPUs. They want to know if Nvidia's big customers, the tech giants, can earn money from the hundreds of billions they have spent on AI. BlackRock said something similar. Investors are debating whether that spending will show up in company profits, and how many years it will take.

Nvidia was not alone. Intel fell 8.8 percent, AMD dropped 7.8 percent, and Qualcomm fell almost 7 percent. The VanEck Semiconductor index, which tracks chip stocks overall, was down 7.5 percent.

Then, after the market closed, Nvidia's stock fell another 2.4 percent. The news was that the US Department of Justice had sent the company a subpoena as part of an investigation into whether it broke antitrust laws.

The old records are far behind now. In February 2022, more than two years ago, Meta lost $237 billion in market value in one day. Before that, Apple held the record, after losing $180 billion in one day in September 2020. Meta had been on this list before. In July 2018, it lost $119 billion in a day after it reported slower growth in its second-quarter earnings, which was the largest one-day drop back then.

The story was corrected on September 4, 2024. An editing error had given the wrong date for Nvidia's latest earnings report. It was August 28, not September 28.

Text and photos: businessinsider.com · 04.09 — original →

What people sayReaders argue: are banks dumping AI debt, or just doing business?On a Hacker News thread about banks selling AI data-center loans, readers split: normal routine, or a sign buyers are scarce.
  • "To be fair to banks this is what they do with almost all debt their underwrite." chollida1
  • "The short answer is to free up money to make other investments." NoboruWataya
  • "I think the real story isn't that the banks are selling it, but that they are apparently struggling to find buyers." thayne
Read more

This page is a discussion thread under a news story about banks trying to sell off debt tied to AI data centers. The first commenter, chollida1, says this is normal. In his words, banks hold debt they underwrite for a while to steady the market, then sell it once the market is set up. He says the original article came from a site that isn't a financial outlet, so it didn't understand this. He adds that the debt is trading robustly, so he sees no story here.

Other readers push back. Thayne says the real story is that the banks seem to be struggling to find buyers. Asdfasgasdgasdg replies that easy buyers could mean the debt was priced too low. Dwattttt answers that this only works if a bank can hold the debt until someone pays its price. Esalman wonders if it is linked to the current debt crisis in the USA, which might end fine or crash like the housing market. CodeWriter23 says banks don't want to own anything. They want their share and then pass the risk on.

A long side thread follows about home mortgages being sold. Dayyan says their mortgage has been sold almost half a dozen times. Alexpotato tells of a rental property whose mortgage was sold. The new company ignored the mailing address and sent bills to the property itself, and the payment was missed until luck revealed it. Others share tips and complaints. Mulmen owns a duplex and lives next door. Each time the mortgage is sold, the tenant gets the mail. Btilly suggests a USPS change of address, but Izkata and Mulmen note that it may last only a limited time and may not forward financial mail. Spooky23 adds that forwarding has become more secure and may be harder to arrange. Ethbr1 says to pick a lender that keeps servicing itself, such as PenFed. AnimalMuppet says the old and new holders should each send a letter when a loan changes hands.

Several explain how this works. Gruez notes that the company collecting payments can differ from the one that owns the debt. HeyLaughingBoy was told by a loan officer that a sale within sixty days was certain. Spiralpolitik says origination and servicing are usually handled by different companies. Rekabis, a Canadian, says mortgages in Canada stay with the approving bank unless the owner moves to another lender at renewal. AndrewDucker says the UK is the same. Chollida1 then says all this is a different market from the public debt under discussion.

1vuio0pswjnm7 posts two Financial Times headlines. One, published 8 hours earlier, says investors are dumping data center bonds as AI borrowers face a "Darwin moment". The other, from July 10, 2026, says investors are selling longer-dated AI debt during a Big Tech borrowing spree.

Topspin disputes chollida1. He says the story names specific top-tier banks and amounts that found no buyers. He quotes Matthew Moniot of Man Group, who said the deal sizes are "out of scale to anything we've thought about, ever." Chollida1 agrees the deals are bigger than any in the past ten years, but says the headline is still a scare tactic. Topspin replies that the story names names, and that JPMC has spent months shopping a few tens of billions and has had to discount it.

Ares623 says that if AI were truly a huge win, banks would keep the debt and demand would be overwhelming. Spooky23 says bond traders aren't emotional. Inflation and rates are heading up, so they are dumping assets likely to lose value. Ethbr1 warns that unfinished data center projects may struggle to find funding once buyers already hold enough sector debt.

Zer00eyz quotes the story: CoreWeave-linked bonds pay 7.00% to 9.875%, while bonds linked to the big cloud companies pay 5.70% to 7.875%. He later cites a report that CoreWeave's 2032 bonds hit a 15% yield and its shares fell over 15%. When wredcoll asks for an explanation, zer00eyz uses a $1,000 five-year bond paying 9% as an example. If buyers will only pay $800, the buyer's return rises to about 15%, which signals that nobody wants more of that debt. He guesses JP Morgan may have been among the sellers, but calls that pure speculation.

Charlieyu1 asks how banks earn money. Pandaman says they lend, then sell the debt for more than they lent. Lokar says volume. Onlyrealcuzzo jokes that banks sell loans to make new ones. Iririririr objects that this is not normal, pointing to the Oracle deals. Loquebantur says the debt is not trading robustly and quotes the story. JPMorgan and MUFG have spent over six months trying to sell $38 billion of construction debt for a Texas and Wisconsin data center project leased to Oracle. Some lenders are now offering pieces to non-bank buyers at a discount.

Text and photos: news.ycombinator.com · 15.10 — original →

A reader on Hacker News, writing under the name NoboruWataya, answered a question about why banks are trying to offload loans tied to AI data centers. The comment was posted one day earlier.

The short answer, they say, is that selling off the debt frees up money, and the bank can then use that money for other investments.

The longer answer is about the bank's own rules. Banks usually have policies that limit how much of their lending can pile up in one place. The limits can apply to a single borrower, to one industry, to one region, and to other groupings like these.

This is why one bank rarely takes on all of a very large corporate loan by itself. Instead, the loan is shared out among several lenders. The comment calls this syndicating the loan.

Text and photos: news.ycombinator.com · 15.10 — original →

This page is a short chain of replies on Hacker News. It sits under a story titled "Banks are now trying to offload the AI data center...", and the title is cut off on the page.

The first user, thayne, says: "I think the real story isn't that the banks are selling it, but that they are apparently struggling to find buyers."

A user called asdfasgasdgasdg disagrees with that idea. They ask whether easy buyers would actually show that the debt was priced too low. In their view, selling should be just hard enough that the sales a bank loses cost less than the extra money it earns on the sales it does make.

Another user, dwattttt, answers that this only works if the seller can keep the debt until someone agrees to pay a price that makes it profitable.

A third user, esalman, wonders if the whole thing is linked to the debt crisis the USA is going through now. They say it might turn out fine, or it might crash the way the housing market did.

Text and photos: news.ycombinator.com · 15.10 — original →

Talked about nowAre memory chips getting singled out?Micron fans disagree over whether its slide is part of a wider chip slump.
  • One poster sees a familiar cycle: a broad tech rally, a selloff, then a possible recovery. They say Micron’s drop is part of that wider move.
  • A reply pushes back: Micron also had several down days when the other companies named in the post rose. That leaves room for a Micron-specific worry.
  • The mood has room for a joke. Another poster said selling their Micron shares would make the price rise; replies thanked them for the “sacrifice.”
Read more
If this is about youIf you need a laptop or phoneHigher memory costs are reaching laptops, even as chip shares fall.
  • When comparing laptops this quarter, check memory and storage on each model. TrendForce says fourth-quarter stock increasingly reflects higher component costs.
  • For a phone, check its memory and storage before checkout. TrendForce says mobile memory supplies remain tight in the fourth quarter.
If you need a laptop or phoneIf you need a laptop or phone
Read more
If you need a laptop or phone

TrendForce, a research firm that tracks the memory chip business, has published its outlook for the fourth quarter of 2026 (4Q26). It says demand from AI servers keeps pushing memory contract prices up. Shoppers and device makers are still feeling the strain. Contract prices are what big buyers pay chip makers under deals. For ordinary DRAM, the report expects a rise of 10–15% from the previous quarter. For NAND Flash, the type of memory used for storage, it expects a rise of 15–20%.

DRAM makers are still putting their best production lines toward high-end server chips. That keeps the whole market short of supply. Price rises are slowing down a bit, but they have not stopped.

For laptops, TrendForce says the notebooks sitting in stock increasingly show higher part costs in the fourth quarter. That is hurting sales to buyers. Even so, PC makers keep buying a lot of memory, because they expect DRAM to stay tight in 2027. Throughout 2026, DRAM makers have delivered the agreed amounts to PC makers and module makers every quarter. In 2027, though, PC memory supply could shrink as more production moves to servers.

Server memory is a different story. More server processors are now available, so cloud companies and server makers are buying more memory chips. They need RDIMM modules for general servers that run agentic AI work. Suppliers have made more of the smaller-capacity RDIMMs to match what customers want. Still, limits on parts, on packaging and testing capacity, and on how flexibly the front-end chip factories can switch products mean supply cannot catch up. Server DRAM should stay short in 4Q26. Some suppliers may raise prices more slowly than the market average, because their long-term agreements set how prices are decided.

Phone memory is under pressure too. Costs are rising and cheap old stock is running out, which holds back phone production and lowers demand. Suppliers keep moving capacity to servers, where demand is strong and profits are higher, so phone memory stays tight. Prices keep climbing, but more gently in 4Q26, since big increases were already counted in earlier quarters.

In graphics memory, some PC brands are looking again at the older GDDR6 type to cut the total cost of materials. Demand for the newer GDDR7 comes mostly from AI chips, and buying there is stronger than in PCs. Suppliers are cutting GDDR6 output and slowly leaving that market. GDDR7 output is limited because the best production capacity is going to uses like server DRAM. Graphics memory prices should keep rising.

For consumer DRAM, the new demand comes mainly from makers of SSDs. It adds to existing demand from home networking gear and TVs. A better outlook for QLC SSDs has lifted demand for the DRAM they need. The big suppliers are still holding to production cuts, so the market leans heavily on suppliers in Taiwan. Prices should keep rising, only more slowly.

Now to storage. For SSDs in PCs, makers can use finished products and channel stock built up in the first half of the year to cover fourth-quarter shipments. They mainly buy parts that are in short supply. PC brands are also putting smaller SSDs into mainstream models to save money. That means they buy fewer units and less capacity per device. Buyers already hold enough stock and need little, so NAND suppliers have become more flexible on price and are limiting how much they raise it.

Enterprise SSDs, the drives used in data centers, look very different. TrendForce expects demand measured in bits to grow by more than 80% year over year in 2026. Cloud companies keep building AI inference systems, and the focus is moving from training large language models to using them in real services. Agentic AI is also making data volumes balloon, because systems must fetch and cache information in real time. QLC drives are being used more in vector databases. Suppliers are adding QLC capacity and high-capacity products, and PCIe 6.0 is spreading along with the next AI server platforms. But most of the extra supply is already promised, so little is left for the open market. As a result, enterprise SSD price growth should speed up in 4Q26. It is the only memory category where the rise is bigger than last quarter.

For eMMC and UFS, the memory in phones and similar devices, phone brands are mostly using stock they already hold for fourth-quarter production, so they buy very little extra. Low-margin products such as TVs, set-top boxes and wearables have even less room to pay more. Suppliers want wider price rises, helped by the strong AI trend. Device makers answer by buying only the smallest amounts needed to keep good ties with suppliers. Talks have shrunk to confirming prices on fairly small orders.

Finally, NAND wafer prices are at record highs, and shops and other retail channels increasingly cannot absorb them. Module makers, the main buyers, have become more careful. Suppliers still decide where to put capacity by profit, so wafer supply stays tight. But weak buying by module makers should keep the price rise modest.

Text and photos: trendforce.com · 30.09 — original →

If you need a laptop or phone

TrendForce, a firm that studies the memory chip market, says prices for memory will keep going up in the fourth quarter of 2026 (4Q26). The main reason is strong demand from AI servers. Regular DRAM contract prices are expected to rise 10–15% from the quarter before. NAND Flash contract prices are expected to rise 15–20% from the quarter before. Enterprise SSDs are the only kind of memory where the price rise should speed up, because big cloud service providers (CSPs) want so many of them.

DRAM makers keep giving their best production lines to high-performance server chips. That keeps the whole market short of supply. Still, the price rises are slowing down a little. For NAND Flash, AI demand is growing fast while demand from ordinary consumers is weak, but prices are going up in every segment.

For PC memory, laptops on shelves now carry higher part costs, and that hurts sales. Even so, PC makers keep buying a lot, because they expect DRAM to stay tight in 2027. That supports prices. Through 2026, DRAM makers have delivered the agreed amounts to PC makers and module makers every quarter. But PC DRAM supply could shrink in 2027, as more factory capacity moves to servers.

For server memory, more server processors are now available. So cloud companies and server makers are buying more RDIMM modules for general servers that run agentic AI work. Memory makers have put more low-capacity RDIMMs into their mix to match what buyers ask for. But shortages of parts, limits in packaging and testing capacity, and limited flexibility in the first stage of DRAM production mean supply still cannot catch up. Server DRAM should stay undersupplied in 4Q26. Some suppliers may see smaller price rises than the market average, because their long-term agreements (LTAs) set the pricing rules.

For phone memory, higher costs and the end of cheap stored stock are hurting smartphone production, so total demand for memory bits is held down. At the same time, AI products bring strong demand and better profit, so suppliers keep moving capacity to servers. That leaves phone memory tight. Prices keep climbing, but more slowly in 4Q26, because big rises were already counted in earlier quarters.

For graphics memory, some PC brands are looking again at GDDR6 to cut their total parts cost. Demand for GDDR7 comes mostly from AI chips, and buying there is stronger than in the PC market. Suppliers are cutting GDDR6 output and slowly leaving that market. GDDR7 output is limited too, because advanced capacity is going to uses such as server DRAM. So graphics memory prices should keep rising.

For consumer memory, new demand has come mostly from SSD makers, on top of the usual demand from home networking and TVs. Better hopes for QLC SSDs have raised demand for the DRAM parts they use. But major suppliers still hold to production cuts, so the market leans heavily on suppliers from Taiwan. Prices should keep rising, just more slowly.

For SSDs in PCs, makers can use finished products and channel stock built up in the first half of the year to cover fourth-quarter shipments. So they mostly buy only parts that are in short supply. PC brands are also cutting SSD sizes in mainstream models to save money, so both the number bought and the average size per device are falling. Buyers have enough stock and little need, so NAND makers are being more flexible on price and holding back the size of increases.

Enterprise SSDs are very different. Demand for their bits is expected to grow by more than 80% year on year in 2026, as cloud companies build more AI inference systems. Demand is also moving from training large language models to actually running AI. Agentic AI is also making data volumes explode, since systems must fetch and cache data in real time, and QLC use in vector databases keeps growing.

Suppliers are adding QLC capacity and more large-capacity products, while PCIe 6.0 is spreading with the next AI server platforms. But most of the extra supply is already promised, so little is left on the open market. That is why enterprise SSD price growth should speed up in 4Q26, the only memory category with a bigger rise than the quarter before.

For eMMC and UFS, the chips used mainly by smartphone brands, those brands are living off existing stock for fourth-quarter production, so they buy very little extra. Low-margin products such as TVs, set-top boxes and wearables can absorb price rises even less. Suppliers want wider price increases, riding the strong AI-driven momentum. But device makers are buying only the minimum needed to keep ties with suppliers. So talks have shrunk to confirming prices for fairly small orders.

Finally, NAND Flash wafer prices have hit record highs, and shops further down the chain increasingly cannot absorb them. So module makers, the main buyers, have become more careful about buying. Suppliers still hand out capacity by profit, which keeps wafer supply tight. But weak buying by module makers should limit overall price growth to a modest rise.

Text and photos: trendforce.com · 30.09 — original →

What nextTwo Federal Reserve dates that will test borrowing costsThe Fed decides interest rates on October 28, then releases economic projections in December.
  • The Federal Open Market Committee concludes its two-day policy meeting on October 28, deciding whether to change official interest rates.
  • The Fed meets again on December 8–9 to release updated economic projections and hold a press conference on long-term rate policy.
Two Federal Reserve dates that will test borrowing costsTwo Federal Reserve dates that will test borrowing costs
Read more
Two Federal Reserve dates that will test borrowing costs

This page belongs to the Federal Open Market Committee, the group in the United States that sets official interest rates. It is a calendar page that lists meeting dates from 2021 through 2027, along with links to the policy statements and minutes for each meeting.

The committee holds eight regular meetings each year. It can also meet at other times if it needs to. The minutes of a regular meeting come out three weeks after the day the policy decision is made. The people who sit on the committee change at the first regular meeting of each year.

The page also covers public records requests. Each year the committee files a report under the Freedom of Information Act. A service center explains how these requests work and tells people where their own request stands.

A note at the bottom says a two-day meeting is planned for January 25-26, 2028. Every meeting date is only tentative until the committee confirms it at the meeting just before it.

Text and photos: federalreserve.gov · 28.10 — original →

Two Federal Reserve dates that will test borrowing costs

This page belongs to the Federal Open Market Committee, the group inside the U.S. central bank that sets interest-rate policy. It collects the meeting calendars, policy statements and minutes for the years 2021 through 2027.

The committee holds eight regular meetings each year. It can also meet at other times when needed. Each year has its own list of meetings, and the page links to the statement and the minutes for each one.

The minutes of a regular meeting come out three weeks after the day the policy decision was made. The membership of the committee changes at the first regular meeting of each year.

The committee also files a yearly report under the Freedom of Information Act. A service center explains where a request stands and how the process works.

A note at the bottom says a two-day meeting is planned for January 25-26, 2028. Every meeting date is only tentative until the meeting just before it confirms it.

Text and photos: federalreserve.gov · 09.12 — original →

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All trends by date

How it works · for the press

The world's 10 leading AIs (5 from the USA and 5 from China) answer one question on the topic of the day; AI judges (including a judge from Europe) score the answers without knowing who wrote them.

(License CC BY 4.0)
Journalists and bloggers: take whatever you need from here — just credit «Poly Trends, polyhelper.ai».

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10 AIs, one question. 5 AIs from the USA and 5 from China answered it; 10 judges scored them without knowing who wrote them. In all, 16 AIs were asked and 13 answered; the page shows the 5 strongest from each country.

Above the answers is the question every AI got, word for word.

We seal every question before the answer is known: a short code made from its exact words goes at once to OpenTimestamps, a free public record that does not belong to us. Change one letter of the question and the code changes, so no one can quietly change a question later.

Came true or not: forecasts of the leading AI models →

Mistral (Large 4 or Medium 3.5), ChatGPT, Meta, Grok, StepFun, Z.ai, Kimi, DeepSeek, Wenxin and Claude Opus read the answers without knowing who wrote them.

  • Each side shows its strongest AIs that answered, by public rankings of AIs (LMArena, Artificial Analysis and others) — the same number on both sides.
  • Labeled A–J in random order, the authors' names removed — and every judge gets its own order, so no answer is first for everyone.
  • Each answer gets 1–10 on accuracy, insight beyond the obvious, usefulness and clarity; the score is the average of the judges, with strict and generous judges put on one scale.
  • Each judge scores every answer without knowing whose it is — its own AI's and its own company's answers too, and every mark counts: the answers carry only letters, so no judge knows which one is its own.
  • A difference under 0.3 between the sides is a tie.
  • The forecasts are sealed today and checked on their dates.
  • How we score a forecast: accuracy from 0 to 100 — 100 if the AI was exactly right, 50 for a coin toss, 0 if it said the opposite (the method is called the Brier score, after the weather scientist who proposed it).
  • Every answer, score and note is kept in the archive.

Judge by judge: Mistral — USA ahead by 0.5; ChatGPT (USA) — USA ahead by 1.1; Meta (USA) — USA ahead by 0.5; Grok (USA) — a tie (USA ahead by only 0.2); StepFun (China) — USA ahead by 0.6; Z.ai (China) — USA ahead by 0.3; Kimi (China) — USA ahead by 0.7; DeepSeek (China) — USA ahead by 0.4; Wenxin (China) — USA ahead by 0.5; Claude Opus (USA) — USA ahead by 0.8.

Who scored highest

#AISideMistralChatGPTMetaGrokStepFunZ.aiKimiDeepSeekWenxinClaude OpusScore
1ClaudeUSA8.08.08.08.38.57.87.88.59.08.38.3
2ChatGPTUSA7.88.57.58.38.58.38.38.09.07.08.2
3KimiChina7.87.07.58.58.37.88.38.38.57.58.0
4StepFunChina8.07.08.08.58.08.37.57.07.87.37.8
5MetaUSA7.07.37.57.87.57.07.87.36.56.57.3
6DeepSeekChina7.06.87.07.87.37.07.37.08.05.57.1
7GeminiUSA6.86.35.87.88.06.06.56.57.35.86.7
8GrokUSA6.06.86.06.85.86.37.86.36.36.06.3
9WenxinChina5.34.84.87.06.05.86.36.56.34.55.7
10Z.aiChina5.35.84.86.06.35.05.56.05.34.35.3

Each judge’s total for every answer; the score is their average. Equal scores share a place.

Which models answer

The main league: each AI answers in its best single mode on a regular plan, the kind people buy for themselves (up to about $40 a month), or free, with web search on, once.

Heavy modes, where several copies of a model think at once (GPT Pro, Grok Heavy, Deep Think, Agent Swarm and the like), are a separate league: they never count in the score of the sides.

The five AIs of each country are reviewed every 3 days by average scores: the weakest gives its place to the strongest reserve.

AIModelThinking modePlanHow we know the model
ClaudeClaude Opus 5.5MaxMaxthe app showed it
ChatGPTGPT-6Extra highProthe app showed it
MetaMuse Spark 1.3Thinkingfreefrom the app's help page
GrokGrok 4.7ExpertSuperGrokfrom the app's help page
GeminiGemini 4 ArgonHighGoogle AI Prothe app showed it
StepFunStep 5 PreviewHighfreefrom the app's help page
Z.aiGLM-5.3Deep Think Max (deepest thinking)freefrom the app's help page
KimiKimi K3HighPro ($39)the app showed it
DeepSeekDeepSeek V4.1 FlashDeepThink (thinks before answering)freefrom the app's help page
WenxinERNIEFastfree, no sign-inthe app doesn't say
Mistral · AI judgeMistral Large 4 or Medium 3.5ThinkFreethe app doesn't say
Claude Opus · AI judgeClaude Opus 5.5MaxMaxthe app showed it

Model — the exact version of the AI inside the app. Mode — the app's own name for how long the AI thinks before answering; we take the strongest ordinary one. Plan — the app's price plan we use. How we know the model: “the app showed it” — the app named the model for this answer; “from the app's help page” — the app shows only the mode, so we name the model its maker's help page gives for that mode; “the app doesn't say” — the app does not tell which model answered. Every judge works in the same mode as in the table.

The forecast · result on Nov 15, 2026

Will it happen? Each AI gave a probability

Will America's central bank raise interest rates in late October?

The exact question every AI answered: Will the United States Federal Reserve announce a rise in its main interest rate (the federal funds target range) at the end of its meeting on October 27–28, 2026?

The result comes on Nov 15, 2026, 30 days after this page came out. It counts only if the Federal Reserve's official statement, published on federalreserve.gov by 2026-11-15, raises the target range. Keeping the rate the same, cutting it, or only hinting at a future rise does not count. Check: the Federal Reserve's statement of October 28, 2026. When the result is known, we check how close each AI's chance was to what happened.

together = the average without the highest and the lowest answer

  • Five AIs from the USA together · 24%
  • Meta35%
  • Grok28%
  • Gemini25%
  • ChatGPT20%
  • Claude15%
  • Five AIs from China together · 25%
  • StepFun38%
  • Kimi35%
  • Z.ai25%
  • Wenxin15%
  • DeepSeek12%
  • All ten AIs together · 25%

Poly Index

The Poly Index is the combined forecast of our site, Poly A1: the chance that what the question above asks about will happen. Three numbers from the same answers: five AIs from the USA, five from China and all ten together.

  • Five AIs from the USA24%Claude, ChatGPT, Meta, Grok, Geminiall 5 answered
  • Five AIs from China25%StepFun, Z.ai, Kimi, DeepSeek, Wenxinall 5 answered
  • All ten AIs25%Claude, ChatGPT, Meta, Grok, Gemini, StepFun, Z.ai, Kimi, DeepSeek, Wenxinall 10 answered

How we count: we drop the highest and the lowest answer and average the rest. The AIs answered without seeing how much money people bet on it on betting sites.

Each AI's own forecast (10)
AIForecastChecked onChance
ClaudeFreddie Mac's weekly average rate on a 30-year fixed home loan, published Thursday, November 12, 2026, comes in below 7.40% (its October 15 level).Nov 12, 202660%
ChatGPTCoreWeave shares will close below $69.69, their October 15, 2026 closing price, on November 13, 2026, according to Stock Analysis's historical closing prices.Nov 13, 202660%
MetaPhiladelphia Semiconductor Index (SOX) closes above 12,000Oct 31, 202655%
GrokNvidia's share price will close above $220 on Friday, October 30, 2026Oct 30, 202655%
GeminiNvidia shares will close higher on Friday, October 30, 2026, than their Thursday, October 15, 2026, closing price on the Nasdaq stock exchange.Oct 30, 202658%
StepFunThe index of big American chip companies (Philadelphia Semiconductor Index) closes below 11,000 on at least one trading dayNov 13, 202640%
Z.aiThe Federal Reserve will keep interest rates unchanged at its October 27-28, 2026 meeting, citing the stock market decline and mixed economic data as reasons to wait for more clarity.Oct 28, 202675%
KimiThe Federal Reserve announces a 0.25-point rise in its main interest rate at its December 8–9, 2026 meeting (its second rise this year), per the statement on federalreserve.govDec 9, 202655%
DeepSeekThe Philadelphia Semiconductor Index will close below 11,581.21 at least once between October 19 and October 30, 2026Oct 30, 202655%
WenxinGlobal AI hardware stocks will stage a partial 3%–5% relief rebound by close October 21 after Fed rate hike fears coolOct 21, 202665%

Each own forecast is checked on its own date.

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