October In The Know with Cathie Wood
Cathie Wood “October 2026 In The Know” Summary
Subject: ARK Invest official video “Bill Ackman’s Inflation Warning: Cathie Wood’s Response | In The Know” (Published October 3, 2026)
To summarize this theme in one sentence, it is the argument that “
rising interest rates do not necessarily mean reignited inflation or economic deterioration. The productivity revolution driven by AI could bring about low inflation and high growth simultaneously.“
1. Six key points from this session
① US long-term interest rates are not at historically abnormal levels
Cathie cites the history of interest rates dating back to 1790, arguing that the current 10-year US Treasury yield is near the median in the long-term history of the United States. Her view is that the high interest rates of the 1970s-90s were the anomaly.
Investment implication: Do not assume that a bull market in stocks is over simply because long-term interest rates are high.
② The disruptive power of AI inference costs falling by 99.99% annually
The decline in the cost of “inference,” where AI is used to provide answers or process information, has the potential to expand AI adoption beyond a few large corporations to a wide range of businesses and entrepreneurs.
Investment implication: Focus not only on the AI models themselves but also on computing infrastructure, semiconductors, data centers, and companies integrating AI into their operations.
③ An increase in money supply does not necessarily accelerate inflation
Cathie notes that while money supply growth is around 5.7%, price increases are not accelerating at the same pace. She emphasizes the potential for AI-driven cost reductions and productivity gains to suppress inflationary pressures.
Investment implication: Look at wages, productivity, service prices, and actual inflation indicators in addition to money supply.
④ The $30 oil scenario
If oil prices fall significantly due to factors like slowing demand or increased supply, inflation could slow down through energy prices. Cathie presents a scenario where oil heads toward the $30 range even without a severe economic crisis.
Note: $30 is a forecast scenario, not a confirmed price target.
⑤ Approximately 90% of global data center financing is concentrated in the US
She emphasizes that the center of AI infrastructure investment is in the US. However, the expansion of AI investment does not necessarily translate into profits for investors. The recovery of capital expenditures and the cost of financing are critical.
Investment implication: Check capital expenditure, cash flow, debt burden, and credit risk in addition to AI demand.
⑥ Reading the financial environment from the movements of gold, the dollar, and Bitcoin
The relative movements of gold prices, the dollar, and Bitcoin were also discussed. Cathie emphasizes technological innovation and changes in the financial system that are difficult to capture through traditional financial asset valuation alone.
Investment implication: Do not view Bitcoin simply as a “substitute for gold,” but look at its relationship with liquidity, real interest rates, and risk appetite.
2. The real core of this session: “AI increases growth rates while lowering inflation”
Cathie’s way of thinking differs slightly from conventional wisdom regarding the business cycle.
3. As an investor, what should you be wary of?
In this video, not only are AI growth expectations covered, but also how the credit market is evaluating AI-related companies such as hyperscalers.
What is particularly important is distinguishing whether the decline in AI stocks is merely a correction of overvaluation or a credit issue due to deteriorating profitability in AI investments.
4. My personal assessment
This October ITK reinforces the September argument that
industrial revolution-level technological innovation will boost growth rates from the perspective of
interest rates, inflation, and financing. However, it is dangerous to
take Cathie’s view as a direct buy/sell signal
.
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Scenario supporting bullishness: Productivity rises, inflation slows, and AI company profits and cash flow grow.
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Scenario where bullishness collapses: AI investment increases but profits do not keep up, and interest rates and credit risk rise simultaneously.
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Intermediate scenario: The AI revolution itself continues, but stock prices get ahead of themselves, and the fortunes of individual stocks diverge.
I will use this ITK not as a
reason to buy all US stocks, but as a hypothesis for
selecting companies that are truly successfully converting the AI productivity revolution into profits.
This also connects to the perspective I have emphasized so far: ‘Will AI stocks break first, or will high-yield bonds break first?’
The next thing to look at is
not just the growth rate of AI investment, but which will show signs of trouble first: profit growth or the credit market
. This question is quite important for reading the US stock market in the second half of 2026.
Personal reflections from ‘October 2026 In The Know’
I am setting the basic scenario as: first, signs of trouble appear in AI company profit growth, and second, the credit market serves as the confirmation sign for a serious market collapse.
However, this is a prediction, and it does not necessarily have to happen in this order.
In some cases, credit anxiety may occur first in companies that depend on financing.
What is important is which comes first:
the rate of decline in AI stocks or the downward revision of profit forecasts and the widening of high-yield spreads
.
5. As of October 15, 2026, what is starting to collapse first?
Looking at recent market information, there is a significant change in the initial basic scenario. Preemptive stress is already surfacing in the AI-related credit market, especially among companies with high dependence on borrowing.
Credit market: Alert level rising
CoreWeave bond yields rose to about 16% on October 14, and there was strong selling of some AI-related bonds. Concerns about rising borrowing costs and financing are also spilling over into the stock market.
Stock market: Doubts about the profitability of AI investment
On October 14, the NASDAQ fell significantly due to concerns about interest rate hikes following inflation indicators. The market is beginning to strictly scrutinize not only the growth potential of AI but also how companies will recoup their massive capital expenditures.
Major hyperscalers: Still need to be treated separately
It is necessary to think separately about large companies and AI infrastructure companies that depend on borrowing or external funding. According to the PIMCO analysis at the end of September, despite the increase in the issuance of AI-related bonds, the broad spillover to non-AI investment-grade corporate bonds was limited. However, caution is required regarding subsequent market deterioration.
At this point, it can be judged that
AI-related financing stress is surfacing first.
However,
this does not mean that the profit growth of US companies as a whole has already collapsed or that
the entire high-yield market has entered a crisis.
6. ‘Four indicators’ to determine which comes first
In particular, for
high-yield spreads, I want to look not only at the absolute level, but also at how much they have widened in a few weeks and whether they are spreading from lower-rated bonds such as CCC ratings
.
7. Three scenarios to anticipate
Scenario A: Credit stress remains localized
Room for continued bullishness
While some AI infrastructure companies struggle, major AI companies continue to see earnings growth, and the contagion to the broader HY market remains limited.
Outlook: Rather than a sell-off of all AI stocks, selection based on financial foundations and profitability will proceed.
Scenario B: Credit deterioration spreads to earnings forecasts
Highest alert
Borrowing costs rise, leading to the reduction or postponement of AI investments, and orders and earnings forecasts for semiconductor, networking, and data center-related companies are revised downward.
Outlook: The correction in AI stocks shifts from a mere valuation adjustment to earnings deterioration.
Scenario C: Earnings stall and credit contraction occur simultaneously
Crisis scenario
AI-related earnings forecasts fall while HY spreads widen sharply. Refinancing difficulties, investment cuts, and worsening employment overlap.
Outlook: Risk of the decline spreading beyond AI stocks to the NASDAQ, small-cap stocks, and low-rated bonds.
8. How I would judge this
Now is not the time to conclude that “earnings growth will collapse first.”
Based on recent observations, we are at the stage where some AI-related credit markets have begun to sound the alarm.
The next judgment is simple.
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Only AI-related bonds deteriorate, while the overall HY market remains stable → An issue with individual companies. It cannot yet be said that AI stocks have peaked.
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Widening HY spreads are added to the deterioration of AI-related bonds → Possibility that credit issues have begun to spread.
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Furthermore, AI company earnings forecasts are revised downward → Suspect a slowdown in the AI investment cycle itself.
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Downward revision of earnings forecasts and credit contraction proceed simultaneously → Be highly vigilant for a change in market rules.
This final phase is the boundary that separates what I spoke about previously: “
is this a dip, or a change in market rules?.”