Jensen Huang resigns. Is there a risk?

 

INVESTMENT RISK UPDATE

NOVEMBER 12, 2026 | NVIDIA • AI FINANCING • PRIVATE CREDIT

Jensen Huang's Resignation: Could This Be the Catalyst That Exposes the AI Credit Bubble?

My assessment: Huang's departure materially increases short-term market risk, but it does not, by itself, establish that the AI boom or the private-credit market is heading toward collapse.

The timing is particularly unfortunate. AI-related capital expenditure is already under scrutiny, private-credit vulnerabilities are becoming more visible, and Nasdaq market breadth has weakened.

Huang's unexpected departure introduces another significant uncertainty into that environment.

1. What has happened?

Nvidia officially confirmed on November 12 that Jensen Huang resigned immediately as president, CEO and director.

• Colette Kress, Nvidia's longtime chief financial officer, has become interim CEO.

• Harvey Jones, a longtime Nvidia director and former Synopsys executive, has become board chair.

• The board has initiated a search for a permanent CEO.

• Nvidia says its operations, customer commitments and technology roadmap should continue without interruption.

  NVIDIA Announces CEO Transition

The resignation follows reports concerning Huang's personal relationships and potential national-security implications. Nvidia's board announced an independent investigation on November 8 and stated that it had no reason at that time to believe company secrets or national security had been compromised. The investigation remains an important unresolved risk.

Statement from NVIDIA Board of Directors

NVIDIA STOCK — NOVEMBER 12

−13%

Approximate opening decline

−4.3%

Approximate closing decline

Reported by The Guardian. Nvidia recovered substantially from its initial selloff but still lost more than $180 billion in market capitalization during the session.

The Guardian

The partial recovery suggests that investors were willing to absorb some of the leadership shock. It does not establish that the market has finished repricing the risks.

2. Why this matters beyond Nvidia

Huang was more than a chief executive. He was a central architect of Nvidia's technology strategy, an influential advocate for AI infrastructure investment and an important relationship-builder across the AI ecosystem.

Nvidia also has financial and commercial relationships with cloud providers, suppliers and AI developers.

That creates three potential transmission channels.

Valuation contagion

Investors could reduce the premium assigned to Nvidia and other AI companies. This would increase volatility across the Nasdaq even without a decline in actual chip demand.

Financing contagion

If confidence in AI infrastructure spending weakens, lenders could reassess projected cash flows, collateral values and refinancing assumptions for data-centre developers and other leveraged borrowers.

Regulatory uncertainty

The ongoing investigation could lead to additional scrutiny of Nvidia's international business relationships and semiconductor export controls. Any financial impact remains uncertain.

Reuters specifically identified Nvidia's investments throughout the AI ecosystem as one reason the departure could have consequences beyond the company's own share price.

Reuters

3. How this changes our earlier financial-crisis assessment

Risk factor	Before resignation	After resignation
AI leadership and execution	Relatively stable	Materially more uncertain
Nasdaq volatility	Elevated	Higher near-term risk
AI capital spending	Under scrutiny	Greater potential for reassessment
Private-credit deterioration	Already observable	No new direct proof of deterioration
Banking-system liquidity	Relatively stable	No demonstrated change
Systemic crisis probability	Unquantified, not established	Still unquantified, with an additional potential catalyst

The distinction is critical: Huang's resignation is an equity-market and corporate-governance shock. For it to become a systemic credit event, the shock must translate into deteriorating business cash flows, tighter lending conditions or forced deleveraging.

That transmission has not yet been demonstrated.

4. Three possible market outcomes

Scenario A — Orderly transition

Contained risk

Kress stabilizes investor confidence, Nvidia's upcoming earnings support demand expectations, and customers continue their planned AI investments.

Implication: The resignation remains largely a company-specific valuation shock.

Scenario B — Broader AI correction

Elevated risk

Leadership uncertainty coincides with weaker AI spending forecasts, declining semiconductor valuations and increased caution from lenders.

Implication: Nasdaq weakness spreads, and more speculative technology and infrastructure companies experience significant financing pressure.

Scenario C — AI and credit-market collision

Severe risk

An AI spending slowdown undermines projected revenues at heavily financed infrastructure companies. Credit spreads widen, private-credit losses accelerate and investors begin forced selling.

Implication: A technology correction develops into a broader credit and liquidity event.

These are conditional scenarios, not probability-weighted forecasts. 

At present, the evidence does not justify treating Scenario C as the expected outcome.

5. The next five days could be especially important

Nvidia has confirmed that its fiscal third-quarter results will be released on Tuesday, November 17, followed by its earnings call.

NVIDIA Announces CEO Transition

That report now assumes greater significance than an ordinary quarterly earnings announcement.

I would pay particular attention to:

• Data-centre revenue and forward guidance: Is demand continuing to meet expectations?

• Gross margins and product execution: Are Nvidia's economics and roadmap intact?

• Customer capital spending: Are major cloud providers maintaining their commitments?

• Financing relationships: Will management clarify its investments and obligations involving AI ecosystem partners?

• Leadership and governance: Can the board demonstrate an orderly succession and provide credible updates on the investigation?

Strong results could reassure investors that Nvidia's underlying business is resilient despite Huang's departure.

Disappointing guidance, particularly if accompanied by financing concerns, would make the broader Weiss thesis more credible.

6. What I would do as an investor

I would not immediately short the Nasdaq because of this resignation. Nor would I automatically sell financially strong technology businesses.

However, I am becoming more cautious about adding to highly valued AI infrastructure companies before Nvidia's November 17 earnings.

For speculative small-cap holdings, I would place greater emphasis on liquidity, debt maturity schedules, cash runway and the possibility of raising capital during a market correction.

For precious metals, short-term government bills and cash, the case for maintaining some defensive exposure has strengthened, primarily because uncertainty has increased rather than because a systemic crisis has been confirmed.

Final assessment

Huang's resignation is a meaningful new risk factor at an already sensitive point in the AI investment cycle.

It potentially weakens confidence in one of the most influential companies supporting the industry's growth and financing arrangements.

But Nvidia's technology, customer relationships, software ecosystem and substantial commercial position do not disappear with its founder.

My revised conclusion is that the risk of an AI-related market correction has increased, while the evidence for an imminent private-credit-driven financial collapse remains insufficient.

The decisive test will be whether this leadership shock stays confined to Nvidia's valuation or begins to affect AI spending commitments, corporate credit spreads and financing availability.

That is the connection I will monitor most closely.

Sources: Nvidia's official November 12 announcement · Reuters reporting · Nvidia board investigation statement

The market impact and scenarios above are analytical assessments based on information available November 12, 2026. The national-security allegations remain under investigation and should not be treated as established findings.

Could a collision between Private Credit and Ai risk cause financial instability and/or market risk?

 A CAUTIONARY NOTE

NOVEMBER 9, 2026 |

Will the Private Credit Crisis and the AI Boom Collide?

Could the enormous financing commitments behind artificial intelligence become the catalyst for a broader financial crisis?

My Investment outlook: Caution warranted 

 systemic collapse not established.

The rapid expansion of private credit and the extraordinary capital commitments supporting the artificial intelligence revolution are creating a potentially dangerous intersection of financial risks. Individually, each presents vulnerabilities. Together, under adverse economic conditions, they could amplify a market correction into a more serious credit and liquidity crisis.

The central concern is not whether artificial intelligence will transform the global economy. It almost certainly will. The question is whether the financial obligations being undertaken today can be supported by the revenues, earnings and cash flows generated tomorrow.

History demonstrates that even transformative technologies can be accompanied by unsustainable financing structures. The internet revolution survived the dot-com collapse of 2000. The companies and investors financing it did not all survive.

The same distinction may become critically important in the AI investment cycle.

1. The IMF identifies a convergence of risks

The International Monetary Fund's October 2026 financial stability analysis identifies three potential triggers for broader financial turmoil: an AI-related asset-price correction, a sharp increase in sovereign bond yields, and significant cyber disruptions.

At the same time, the IMF highlights vulnerabilities associated with leverage, liquidity and interconnected financial institutions, including participants in the rapidly expanding private-credit market.

These risks are not independent.

A rise in government bond yields increases borrowing costs and reduces the present value of future corporate earnings. An AI valuation correction could undermine investor confidence and make refinancing more difficult. A credit-market disruption could then force lenders and investors to sell assets, amplifying the original market decline.

This is how an ordinary market correction can potentially become a broader financial-stability event.

2. The scale of AI financing deserves scrutiny

The IMF's October 13 briefing reportedly examined 14 publicly disclosed AI-related financing transactions involving the following aggregate commitments.

REPORTED FINANCING AND COMMITMENTS — USD

$300B

Equity financing

$650B

Debt financing

$1.4T

Future revenue commitments

Figures supplied from the IMF briefing description. They represent different financial categories, not an additive estimate of outstanding debt, losses or capital at risk. Their precise definitions and potential overlap require verification.

The distinction between these categories is essential. Equity represents ownership capital at risk. Debt generally requires contractual servicing and repayment. Future revenue commitments may represent expected contractual payments rather than borrowed money.

Nevertheless, the combined financing architecture can become vulnerable when projected demand fails to materialize.

Consider a hypothetical scenario in which AI infrastructure is constructed on the assumption of rapidly increasing demand for computing capacity, but actual utilization and pricing fall short of expectations.

The consequences could unfold simultaneously:

1. Equity markets: AI infrastructure companies and their suppliers experience valuation compression as earnings expectations decline.

2. Credit markets: Highly leveraged borrowers face declining cash flows, weaker debt-service coverage and more difficult refinancing.

3. Private capital: Lenders experience deteriorating credit quality, valuation write-downs and pressure from investors seeking liquidity.

4. The broader economy: Reduced capital expenditure affects semiconductor manufacturers, data-centre developers, electrical equipment suppliers and construction businesses.

The most dangerous outcome would be a self-reinforcing cycle in which weaker AI revenues reduce access to financing, forcing companies to cut spending, which further weakens revenues throughout the AI supply chain.

3. Why private credit could amplify the problem

Private credit has become an important alternative to traditional bank lending. Its expansion has created financing opportunities for companies that might otherwise struggle to obtain capital.

However, the market also has structural weaknesses.

Private loans are frequently illiquid, valuations can depend on models rather than observable market prices, and disclosures are often less comprehensive than those of publicly traded bonds.

Some funds also employ leverage or depend on bank-provided credit facilities. This creates channels through which losses in private markets can spread into the regulated financial system.

The Financial Stability Board has identified concerns involving leverage, valuation opacity and growing connections among private-credit funds, banks and insurers.

The principal danger is not necessarily the initial loan default. It is the possibility that multiple lenders, investors and financial institutions simultaneously discover that their assets are worth less, and are less liquid, than previously assumed.

A critical qualification is that private-credit funds differ considerably. Many have long-duration committed capital and do not face the same immediate withdrawal risks as banks. A crisis involving private credit therefore would not automatically resemble the bank runs of 2008.

4. Is another 2008 financial crisis developing?

Weiss Ratings has warned that vulnerabilities in private credit could produce a crisis comparable to, or potentially more severe than, the 2008 financial collapse. 

(Ed note: Weiss has a good track record of calling crisis level events and are not financed or rewarded by the firms they cover)

There are legitimate reasons to investigate that possibility. However, the available regulatory assessments do not establish that such an outcome is inevitable or even the most likely scenario.

The Reserve Bank of Australia has reported relatively limited direct banking-system exposure to private-credit funds in several major jurisdictions, while acknowledging growing indirect risks.

The Bank of Canada has similarly identified vulnerabilities but generally considers direct Canadian financial-system exposures more manageable, although international contagion remains a concern.

Today's banking system also benefits from stronger capital requirements and regulatory safeguards introduced following the global financial crisis.

The significant difference is that some financial risks have migrated outside traditional banks into less transparent private-market structures.

Consequently, the next serious credit disruption, should one occur, may begin outside the banking system while still affecting banks, public equities and the broader economy.

5. The warning signs are no longer entirely theoretical

Several recent regulatory findings deserve particular attention.

The IMF confirms that approximately $320 billion of the $650 billion in debt associated with the 14 AI financing transactions was undertaken by investee companies, including arrangements involving guarantees, contingent financing and off-balance-sheet obligations. This makes the financial strength of the borrowers and the enforceability of their commitments particularly important.

IMF eLibrary+1

The Financial Stability Board estimated private-credit assets at approximately US$1.5–2 trillion at the end of 2024, with substantial data gaps. It identified approximately US$220 billion of reported drawn and undrawn bank credit lines to private-credit funds, with some commercial estimates higher. These are exposures, not recognized losses.

Financial Stability Board+1

Perhaps most revealing, the Reserve Bank of Australia's October 2026 review reported that US non-traded private-credit funds experienced more than US$15 billion in redemption requests during the second quarter of 2026, approximately 12% of their combined net asset value. Concerns about AI disruption to software borrowers contributed to this pressure.

RBA

This establishes an important distinction: 

the potential relationship between AI disruption and private-credit stress is already observable, although it "has not" developed into a generalized financial crisis.

6. What a collision could mean for investors

The consequences would depend on whether financial stress remained contained or developed into widespread deleveraging.

Investment category	Likely response in a severe credit shock
Nasdaq and expensive AI equities	Significant multiple compression and potentially sharp declines
Small-cap technology and speculative growth	Especially vulnerable to disappearing liquidity and higher financing costs
Defense and robotics	Potential initial selloffs despite favorable long-term government spending
Banks and alternative-asset managers	Credit losses, valuation concerns and reduced investor confidence
Gold bullion	Potential safe-haven benefit, although forced liquidation can cause initial declines
Precious-metals streamers, including WPM and FNV	Initial equity-market risk followed by potential recovery if precious-metal prices strengthen
Cash and short-term government bills	Generally defensive and useful for preserving investment flexibility

For investors in emerging technology and smaller defence companies, this distinction matters considerably. (ed note: where we own shares)

A business can possess excellent technology, a substantial addressable market and growing customer interest, yet still experience a severe stock-price decline when institutional investors reduce risk.

Companies with substantial cash reserves, manageable debt, positive operating cash flow and funded expansion plans should generally be better positioned than businesses dependent on repeated equity raises.

Conversely, an extended liquidity crisis could create exceptional long-term buying opportunities for investors who retain capital and avoid forced selling.

7. Seven indicators that could confirm a developing crisis

I would monitor the following measures rather than attempt to forecast a financial collapse from a single bearish prediction.

Indicator	Warning development
High-yield credit spreads	Sustained widening, especially beyond approximately 500 basis points
Private-credit defaults	Rising defaults and payment-in-kind interest across multiple industries
Private-credit redemptions	Persistent withdrawal requests, restrictions and distressed asset sales
Bank funding conditions	Rising funding spreads and persistent repo-market disruptions
Nasdaq market breadth	Declining participation alongside weakening earnings expectations
Corporate refinancing	More expensive or unavailable refinancing for weaker borrowers
Financial-sector results	Unexpected credit provisions, write-downs and deteriorating lending standards

A high-yield spread above 500 basis points is a useful historical warning reference, not a definitive crisis threshold. Changes from prevailing levels, the speed of deterioration and the persistence of stress are equally important.

The most compelling warning would be simultaneous deterioration in credit spreads, corporate earnings expectations and market liquidity.

A Nasdaq decline alone would not establish a credit crisis. Similarly, isolated private-credit defaults would not necessarily justify abandoning technology investments.

The evidence becomes more persuasive when the signals reinforce one another.

8. Investment strategy: Prepare without abandoning opportunity

For a portfolio like ours, with meaningful exposure to artificial intelligence, quantum computing, robotics, defence technologies and precious metals, the prudent response is to strengthen financial resilience rather than attempt to time a market collapse.

I favor maintaining a meaningful liquidity reserve, avoiding margin debt, limiting excessive concentration in speculative companies and distinguishing financially established businesses from those dependent on external financing.

For new purchases, balance-sheet strength and the ability to finance operations through a prolonged capital-market downturn deserve increased weight.

Investors should also distinguish between companies benefiting from durable AI demand and those whose valuations depend on exceptionally optimistic assumptions about future adoption, pricing and profitability.

Defensive holdings, including short-term government securities and selected precious-metals exposure, may help diversify risk. However, no equity investment, including a gold-streaming company, should be treated as a guaranteed safe haven during a liquidity crisis.

An outright short position against the Nasdaq would require stronger evidence of deteriorating market conditions. Shorting a market dominated by profitable, financially strong companies can be expensive and dangerous when the timing of a correction is uncertain.

9. Final investment assessment

RISK ASSESSMENT | NOVEMBER 2026

Private-credit vulnerabilities  -  Elevated

AI financing interdependence  -  Elevated

Confirmed systemic financial crisis  -  Not established

Portfolio response  -  Defensive selectivity

Weiss Ratings is identifying genuine vulnerabilities, but its suggestion of a crisis potentially exceeding 2008 goes further than today's evidence currently supports.

The IMF, Financial Stability Board and Bank of Canada independently recognize that leverage, opaque credit exposures, elevated asset valuations and growing financial interconnectedness could amplify future economic shocks.

The IMF also provides an important counterweight: its severe stress analysis finds that the banking system as a whole remains resilient, although a vulnerable subset of banks could become undercapitalized.

International Monetary Fund

The crucial issue is whether the financial system has become excessively dependent on optimistic assumptions about AI profitability and continued access to inexpensive capital.

If those assumptions weaken, the consequences could extend well beyond AI companies themselves.

My investment conclusion: 

The private-credit market and AI financing boom have developed meaningful points of financial interdependence. A serious disappointment in AI revenues, particularly if accompanied by rising bond yields and tighter lending conditions, could trigger a substantial repricing of technology equities and credit assets.

A systemic crisis is possible, but not inevitable. The available evidence supports heightened caution, not a prediction of financial collapse.

The appropriate investment response is to preserve liquidity, favor financial strength, control speculative exposure and remain prepared to acquire high-quality assets should market dislocation create compelling valuations.

The greatest danger may not be that artificial intelligence fails. It may be that investors and lenders have financed its success on a timetable that proves too optimistic.

Preparation, rather than panic, remains the appropriate strategy.

Primary regulatory sources

• IMF — Global Financial Stability Report, October 2026

• IMF — October 13 briefing and AI financing figures

• Financial Stability Board — Private Credit Vulnerabilities, May 2026

• Bank of Canada — Financial Stability Report 2026

• Reserve Bank of Australia — October 2026 Financial Stability Review

Research limitation: This note verifies the principal regulatory warnings and financing figures but does not establish whether November 9 market prices, credit spreads and institutional positioning are currently confirming a crisis. The investment scenarios are forward-looking judgments, not forecasts of certain outcomes.

Recommended next investigation: Compare current Nasdaq valuations, US high-yield credit spreads, private-credit redemption trends and institutional bearish positioning to determine whether the markets are already signaling the financial instability described in this report.

Below we Investigate whether the markets are confirming this warning

Are the Markets Confirming Weiss Ratings' Financial-Crisis Warning?

An investigation into Nasdaq valuations, market breadth, private-credit deterioration, institutional positioning and financial-system liquidity.

CURRENT EVIDENCE

Elevated caution

Early warning signals, not a confirmed systemic crisis

The evidence supports Weiss's concerns about vulnerabilities in private credit and AI-related financing. However, publicly traded credit markets are not yet exhibiting the widespread distress normally associated with an imminent financial collapse.

Private-credit deterioration  -  Confirmed

Broad credit-market crisis  -  Not confirmed

Nasdaq market breadth  -  Weakening

2008-style systemic collapse  -  Unsubstantiated

The most important finding is that private-credit markets are showing measurable signs of deterioration while public high-yield credit spreads remain relatively contained.

This divergence deserves attention. 

It could indicate that stress is concentrated in particular borrowers and lending structures. Alternatively, it could represent an early stage of broader deterioration that public markets have not yet fully priced.

Neither interpretation can be established with certainty today.

1. Nasdaq valuations and market breadth

The first question is whether the Nasdaq is priced for an optimistic future while underlying participation is deteriorating.

NASDAQ-100 FORWARD P/E

18.07×

November 6, 2026

Below 10-year average

STOCKS ABOVE 200-DAY EMA

44.5%

November 6, 2026

Weak participation

An independent Nasdaq-100 valuation series estimates forward earnings at approximately 18.07 times, compared with its reported 10-year average of 23.01 times. The calculation is not an official Nasdaq series, and its recent methodology differs from its historical methodology. Consequently, it should not be treated as definitive evidence of undervaluation.

History and Daily Estimates

The breadth figures are more concerning.

Nasdaq-100 participation — November 6

Above 20-day EMA  -  41.6%

Above 50-day EMA  -  44.5%

Above 200-day EMA  -  44.5%

Source: Chart in Motion, independent constituent-level EMA calculations, November 6, 2026.

Chart in Motion

Fewer than half of Nasdaq-100 constituents are trading above their intermediate- and long-term exponential moving averages.

That is a genuine indication of weak market participation, even though it is not sufficient to establish a bear market or an impending crash.

Assessment: Nasdaq breadth supports caution. 

The available forward valuation estimate does not support the claim that the entire Nasdaq-100 is exceptionally expensive. Valuation risk may instead be concentrated in particular AI companies and financing-dependent business models.

2. High-yield credit spreads: The critical counterargument

High-yield spreads measure the additional compensation investors demand to lend to lower-credit-quality corporations rather than the US Treasury.

In a serious credit crisis, these spreads typically widen substantially as lenders demand greater compensation for default and liquidity risks.

US HIGH-YIELD CREDIT SPREAD

348 bps

November 5, 2026

ICE BofA US High Yield Index option-adjusted spread

November 4

332 bps

November 5

348 bps

Latest directly verified broad high-yield observation in this investigation.

St. Louis Fed

The spread widened by 16 basis points in one day, but 348 basis points is not, by itself, a crisis-level reading.

A separate B-rated corporate bond series registered 361 basis points on November 6, compared with its long-term average of 516 basis points.

Historical Data & Trends

This matters because public bond investors are still accepting comparatively modest compensation for default risk.

If a widespread corporate credit collapse were imminent and widely anticipated, one would ordinarily expect much greater stress in the high-yield market.

Assessment: Public credit spreads currently contradict the strongest version of Weiss's thesis. They do not rule out future deterioration, particularly because private-credit exposures are less transparent and may react with a delay.

3. Private-credit defaults, markdowns and redemptions

This is where the evidence supporting Weiss becomes considerably stronger.

A September Reuters examination of regulatory filings from 44 US business development companies found deteriorating loan valuations during the first half of 2026, particularly among certain software borrowers. However, much of the broad markdown activity occurred during the first quarter, with second-quarter losses concentrated among fewer borrowers.

MarketScreener

Moody's September analysis provides additional evidence of emerging credit stress.

Private BDC modeled default probability

0.92%

Spring 2026, up from 0.77%

PIK share of public BDC investment income

~8%

Up from ~5.5% in 2021

Withdrawal requests at some funds

10.5%

Versus typical 5% quarterly gates

Moody's, September 25, 2026. The 0.92% figure is a modeled probability, not an observed realized default rate. Withdrawal pressure refers to selected vehicles, not the entire private-credit market.

moodys.com

The increase in payment-in-kind (PIK) interest is particularly important.

PIK allows borrowers to add interest to outstanding debt rather than pay it in cash. This may provide legitimate financial flexibility, but it can also conceal weakening debt-service capacity.

If borrowers increasingly cannot service their interest obligations from operating cash flow, their debt balances may grow even while reported loan income remains positive.

The Bank of Canada has also identified outflows from private-credit funds exposed to software companies, alongside widening leveraged-loan spreads in that sector.

Bank of Canada

Assessment: Private-credit stress is real and measurable. It supports Weiss's concern about deteriorating loan quality, but does not yet establish that defaults are spreading sufficiently to threaten the entire financial system.

4. Bank funding markets: Is liquidity beginning to disappear?

A credit crisis becomes particularly dangerous when financial institutions struggle to obtain short-term funding.

The overnight repurchase agreement market is an important indicator because banks, dealers and investment funds depend on it for liquidity.

US FUNDING CONDITIONS — NOVEMBER 6

SOFR overnight rate  -  3.89%

Effective fed funds rate  -  3.88%

SOFR–fed funds difference  -  +1 bp

Bank reserves, weekly average  -  $2.93T

Federal Reserve Bank of New York reference-rate data compiled November 9; bank reserves averaged through November 4.

ARCANE

The one-basis-point difference between SOFR and effective fed funds is reassuring. It does not indicate an unusual premium for secured overnight financing.

Bank reserves remain substantial, although their reported level has declined approximately $18 billion over the preceding month.

This is not evidence that all banks are healthy. It simply means that the broad overnight funding indicators examined here are not displaying the kind of acute disruption expected during a major liquidity crisis.

Assessment: Funding markets currently contradict the argument that a systemic liquidity breakdown is already underway.

5. Institutional positioning: Are sophisticated investors turning bearish?

This investigation uncovered a particularly interesting divergence.

E-mini Nasdaq-100 speculative futures positioning

-70,000-35,000035,00070,000Aug 11Aug 25Sep 8Sep 22Oct 6Oct 20Nov 3

CFTC Legacy Commitments of Traders, futures only. Net contracts; negative values represent net shorts.

Selected weekly observations, not a continuous daily series.

Positioning Analysis

As of November 3, large non-commercial speculators remained net long 42,873 E-mini Nasdaq-100 futures contracts, equivalent to approximately 14.7% of open interest.

Their net long position had declined by 5,966 contracts over the preceding week. Yet the separate leveraged-fund category remained near the upper end of its three-year positioning range.

Positioning Analysis

This is important because the data do not show that major speculative futures participants have collectively abandoned the Nasdaq.

They remain substantially exposed to the upside, although some positioning has been reduced.

At the same time, options activity shows greater demand for protection. A November 8 report described record Cboe put-option volume of approximately 11.23 million contracts on November 5.

24/7 Wall St.

However, total put volume is not equivalent to the QQQ put/call ratio. Nor does it reveal whether options were purchased to establish new bearish positions, hedge existing portfolios or close previous positions.

Assessment: Institutional signals are mixed. Futures positioning remains relatively bullish, while unusually heavy put activity indicates increased demand for downside protection or bearish exposure. This is not conclusive evidence of coordinated institutional positioning for a crash.

6. Financial-crisis evidence scorecard

The following table separates verified warning signals from evidence of an actual systemic crisis.

Market indicator	Latest evidence	Interpretation
Nasdaq valuation	18.07× forward earnings, independent estimate	Mixed
Nasdaq breadth	44.5% above 200-day EMA	Concerning
High-yield credit	348 bps, Nov. 5	Contained
Private-credit quality	Loan markdowns, rising PIK	Deteriorating
Private-credit liquidity	Elevated withdrawals at some funds	Deteriorating
Bank funding	SOFR only 1 bp above fed funds	Stable
Institutional positioning	Net-long futures, heavy put volume	Mixed

The classifications are analytical judgments, not a statistically calibrated crisis-prediction model. Data have different reporting dates and coverage.

The pattern is revealing: stress is visible in private credit and equity-market breadth, but has not yet produced widespread disruption in publicly traded credit or overnight funding markets.

7. What would change my assessment?

I would use a staged approach rather than declare a crisis based on one indicator.

Stage 1 — Heightened caution (current assessment)

Private-credit deterioration, weak Nasdaq breadth and increased hedging demand, but contained broad credit spreads and functioning funding markets.

Stage 2 — Defensive repositioning

High-yield spreads move sustainably above 450–500 basis points, Nasdaq breadth continues weakening, private-credit losses broaden beyond software, and refinancing becomes materially more difficult.

Stage 3 — Systemic-risk conditions

High-yield spreads widen sharply toward 700–800 basis points or higher, bank funding markets become persistently stressed, significant financial institutions disclose unexpected losses, and forced asset sales accelerate.

These are indicative warning thresholds, not guaranteed market outcomes. The speed of deterioration and interaction among indicators matter more than any single numerical trigger.

8. Investment implications for the next 6–12 months

For a growth-oriented portfolio with exposure to AI infrastructure, quantum computing, robotics, Canadian defence companies and precious metals, I would distinguish between business prospects and financing resilience.

Investment exposure	Main concern	Preferred approach
Profitable large-cap AI companies	Earnings disappointment, valuation compression	Selective holding
Quantum and speculative technology	High volatility, financing requirements	Control position sizes
Defence technology, including FLT and PNG	Small-cap liquidity, contract timing	Review cash runway and funding
AI infrastructure suppliers	Capex slowdown and customer concentration	Prioritize cash flow and balance sheets
Gold and silver streamers	Initial equity selloff despite gold exposure	Long-term diversification
Cash and short-term bills	Opportunity cost if markets recover	Maintain purchasing flexibility

I would not treat a general decline in technology shares as sufficient reason to sell a fundamentally sound company. However, I would be more demanding about valuations and less willing to increase exposure to businesses dependent on continuous capital raising.

For investors already holding concentrated speculative positions, reducing portfolio fragility may be more valuable than attempting to predict the exact timing of a market reversal.

9. Final verdict: Is Weiss right?

My conclusion is that Weiss appears substantially more persuasive about the existence of financial vulnerabilities than about the inevitability or magnitude of a coming crisis.

The strongest evidence supporting Weiss is the deterioration in private-credit quality, elevated redemptions at certain funds, weakening Nasdaq breadth and increasing investor demand for downside protection.

The strongest evidence against an imminent 2008-style event is that public high-yield spreads remain contained, overnight funding markets are functioning normally, and large speculative futures participants have not collectively shifted to aggressive net-short positioning.

The most important unresolved question is whether private-credit problems will remain concentrated in vulnerable borrowers or spread into the broader corporate lending and banking systems.

INVESTMENT VERDICT — NOVEMBER 9, 2026

Cautious, but not outright bearish

The evidence supports we prepare for greater volatility and potential credit contagion. It does not currently justify treating a financial collapse as the base case.

We are preserving liquidity, reviewing speculative exposure and avoiding leverage over immediately shorting the Nasdaq or liquidating fundamentally strong investments.

The three developments to monitor most closely

1. High-yield spreads: Whether they move from approximately 350 basis points toward 500 basis points and remain elevated.

2. Private-credit stress: Whether markdowns, PIK interest and redemption restrictions spread beyond isolated funds and software borrowers.

3. Nasdaq breadth and positioning: Whether participation falls further while leveraged investors unwind substantial long positions.

A simultaneous deterioration in all three would materially strengthen Weiss's warning.

Sources and reporting limitations

The investigation draws on Federal Reserve high-yield spread data, New York Fed funding-market data, CFTC futures positioning, Moody's private-credit analysis and Bank of Canada financial stability research.

The latest verified market observations are primarily from November 3–6, 2026. Private-credit disclosures lag public markets, the Nasdaq valuation and breadth estimates use independent methodologies, and futures positioning does not capture all institutional hedges or cash-equity exposure. No comprehensive November 9 realized private-credit default rate or current QQQ put/call ratio was verified.

Bottom line: The evidence indicates a market with genuine structural vulnerabilities, not a financial system already in collapse. The combination of weak Nasdaq breadth and deteriorating private-credit fundamentals warrants continued scrutiny, especially while public credit markets remain relatively complacent.

This analysis is intended for investment research and risk assessment, not as a prediction of a specific market event.

Expanding NATO visibility in Europe this week - Kraken Robotics Sub Sea technology

 

Kraken Robotics (TSX-V: PNG): November 2026 NATO and Naval Defence Events

My assessment: Kraken's increasing visibility at allied naval defence events is strategically positive, particularly following its acquisition of Covelya. The company is now presenting a much broader range of underwater defence technologies, rather than primarily promoting its KATFISH minehunting system.

There is, however, an important distinction between participating in a NATO-sponsored exercise, exhibiting at a naval defence trade show, and securing an actual NATO procurement contract.

1. Confirmed exhibition: EURONAVAL 2026

EURONAVAL 2026

Paris, France — November 3–6, 2026

Paris Nord Villepinte Exhibition Centre

Kraken is exhibiting at Booth K121, showcasing its newly integrated naval technology portfolio, including KATFISH, synthetic aperture sonar, Sentinel underwater intruder detection, SeaPower batteries and navigation systems.

Kraken's November 4 LinkedIn announcement specifically highlights the integration of the former Forcys team into its broader defence offering.

LinkedIn+1

Why this matters: Kraken can now approach naval customers with complementary products for mine detection, underwater surveillance, infrastructure protection and autonomous underwater operations.

An especially interesting development is the company's announcement that it has shipped its first major Sentinel Intruder Detection System under the Kraken name, intended to protect multiple ports for an allied navy. That is evidence of actual commercial delivery, not simply exhibition activity.

LinkedIn

2. NATO Edge 2026 — İzmir, Türkiye

NCIA (@nato_ncia) on X

November 17–19, 2026

This is a NATO-organized technology and procurement event, bringing together military decision-makers, defence contractors and technology suppliers.

Kraken's participation has not yet been independently confirmed.

NATO Edge is particularly relevant because it connects suppliers with NATO capability requirements and acquisition processes. Kraken's sonar, underwater navigation and surveillance technologies fit several of those requirements.

Events+1

I would watch for confirmation that Kraken or its Covelya subsidiaries are exhibiting or meeting procurement officials there.

3. Recent NATO operational demonstration — REPMUS 2026

#repmus24 #krakenrobotics #repmus24 #marinedefense #subseawarfare #syntheticaperturesonar #sas | Kraken Robotics

Portugal — reported October 29, 2026

Unlike a trade show, REPMUS involves practical testing with allied naval forces.

Kraken, Sonardyne, Voyis and EIVA demonstrated combined mine-countermeasure capabilities.

Kraken reported detecting and classifying all 21 targets across eight survey areas, while its integrated imaging and navigation technologies achieved a 100% identification rate in the reported demonstration.

LinkedIn

This is arguably more significant than exhibiting at a trade show. It demonstrates technical interoperability between Kraken's newly combined businesses in an allied operational environment.

What does this mean for Kraken shareholders?

I see three important implications.

1. Improved access to defence procurement: Kraken is gaining opportunities to demonstrate its systems directly to naval operators, defence contractors and purchasing authorities.

2. Covelya acquisition benefits: The combination of Kraken sonar, Sonardyne navigation, Voyis imaging, EIVA software and Sentinel security systems creates opportunities to sell integrated solutions rather than individual components.

3. Potential for larger contracts: Successful operational demonstrations and broader product offerings could support future orders for mine countermeasures, underwater surveillance, autonomous vehicles and port security.

There is still a substantial difference between demonstrated capability and funded procurement. Exhibitions alone do not establish new orders or near-term revenue.

However, Kraken's expanding and cutting edge technology cannot be ignored as the expansion of NATO navies around the world, including Canada's, are beginning to spend billions on Sub Sea military and monitoring technology.  

Kraken has that technology in spades.

Investment verdict — PNG

Constructive for the 12–24-month investment thesis.

Kraken is increasingly positioned as a comprehensive underwater defence technology supplier. Its recent Sentinel shipment and REPMUS results strengthen that assessment.

Previous Articles:

Kraken Robotics in a great position to help supply NATO navies with their sub sea technology!

Kraken Robotics - NATO Navy supplier is moving up the ladder with massive, undersea battery facilitysynergies.

Volatus Aerospace newest product may be a game changer

 

The most significant recent proprietary product introduced by Volatus Aerospace (TSX: FLT) is its V-Cortex™ AI Flight Controller and Autonomy Operating System, unveiled May 27, 2026.

It is particularly interesting from a Canadian defence investment perspective.

What does V-Cortex do?

Think of V-Cortex as the intelligent brain of a military drone.

It combines a miniature flight-control computer with AI-enabled software, allowing drones to operate with greater independence from human pilots.

Its principal capabilities include:

• Flying without GPS: Designed to navigate when satellite signals are jammed or unavailable.

• Autonomous missions: Enables drones to execute programmed tasks and make certain onboard decisions.

• Military surveillance: Supports intelligence, reconnaissance and sensor integration.

• Counter-drone operations: (very important) Can support systems designed to detect, track or respond to hostile drones.

• Multiple platforms: Designed for integration into different drones and potentially unmanned ground and maritime systems.

Remarkably, the controller measures approximately 3.5 × 3.5 centimetres and weighs less than 15 grams.

GlobeNewswire+1

What's particularly new?

On September 22, 2026, Volatus announced that V-Cortex had successfully completed initial flight testing without GPS or external sensors, using onboard default sensors.

That is a meaningful technical milestone, especially for operations in Canada's Arctic and in electronic-warfare environments. However, additional testing is still required before widespread operational deployment.

Why this matters to FLT shareholders

V-Cortex potentially moves Volatus beyond simply manufacturing and operating drones toward owning proprietary AI and autonomy technology.

That could create higher-value products, licensing opportunities and stronger differentiation in Canadian and NATO defence procurement.

There is also SKYDRA™, introduced in March 2026, a subscription-based software platform for planning and simulating counter-drone operations. It is another example of Volatus expanding into proprietary defence software.

Autonomous Warfare: AeroVironment and Palantir Challenged – Analysts Give Volatus Aerospace the Thumbs-Up

news.financial

My investment assessment: V-Cortex is potentially one of Volatus's most strategically important technologies. The September flight milestone strengthens its technical credibility, but the next critical step is converting that technology into paying defence customers and recurring revenue.

Kraken Robotics (TSX: PNG) — Updated Investment Note - Oct 30th 2026

 

October 30, 2026 | Investment outlook: 6–18 months

Investment Thesis: Strengthening — Bullish

Kraken Robotics continues to evolve from a specialized Canadian underwater technology supplier into an increasingly important participant in NATO-aligned naval modernization, autonomous mine countermeasures and subsea defence systems.

The company's $24 million in defence orders, announced March 17, included more than 10 customers across five countries, three new defence customers, and another KATFISH sonar sale to the Polish Navy. Importantly, Poland is a repeat customer, having originally selected KATFISH in 2020. This strengthens Kraken's credibility as an established supplier rather than an experimental technology provider.

Kraken Robotics

Important developments

• Defence orders expanding: In addition to March's $24 million announcement, Kraken disclosed $28 million in battery and sonar orders in April and another $35 million in new orders in July. These announcements demonstrate continued commercial momentum, although they should not be interpreted as entirely incremental revenue without reviewing delivery schedules.

• Covelya acquisition: The July acquisition substantially expanded Kraken's underwater technology portfolio through Sonardyne, EIVA, Voyis and other specialized businesses, creating opportunities for integrated sensor, navigation, imaging and autonomy solutions.

• REPMUS 2026: Kraken's recently reported NATO exercise results are particularly encouraging. Its synthetic aperture sonar detected and classified all 21 targets across eight survey areas, while Voyis and EIVA technologies achieved a reported 100% target identification rate. This provides valuable operational validation, although exercise performance does not guarantee future procurement contracts.

• 2027 opportunity: Increasing NATO emphasis on autonomous minehunting, underwater surveillance and protection of critical subsea infrastructure should favour companies capable of supplying interoperable systems rather than individual components.

Kraken Robotics+1

Financial position and outlook

2026 revenue guidance

C$290–320M

2026 adjusted EBITDA guidance

C$65–75M

Combined 2026 orders announced by Aug. 27

~C$355M

June 30 cash, excluding escrow proceeds

C$91.3M

Company-reported figures. Guidance includes six months of Covelya operations; the C$355M order figure combines both businesses and is not equivalent to recognized revenue.

Kraken Robotics

Investment risks

Kraken's rapid expansion brings acquisition-integration risk, potential shareholder dilution, defence procurement delays and valuation sensitivity. Q2 standalone revenue grew only 4%, and the company recorded a C$7.5 million net loss, highlighting the need to distinguish order momentum from realized earnings.

Kraken Robotics (PNG): Beyond KATFISH — The New Technology Portfolio

Investment and technology review | November 2, 2026

Kraken Robotics is evolving from a specialist in high-resolution underwater sonar into something potentially much more valuable: an integrated supplier of underwater sensing, autonomous navigation, optical imaging, subsea intelligence and advanced batteries.

The acquisition of the Covelya Group companies is particularly significant. It gives Kraken the opportunity to combine technologies that previously belonged to separate businesses into complete underwater surveillance and mine-countermeasure systems.

For investors, the important distinction is between technologies Kraken invented, technologies it acquired, and new integrated capabilities it can now offer.

KATFISH remains a flagship product, but several other technologies deserve attention, particularly those applicable to NATO submarine operations, autonomous underwater vehicles (AUVs), Arctic surveillance and seabed infrastructure protection.

1. The technologies I consider most important

Kraken Robotics Receives $11 Million of SeaPower Battery

SeaPower advanced batteries — developed by Kraken

High investment significance

These pressure-tolerant batteries power underwater drones, allowing longer missions without surfacing. Kraken has developed a higher-energy-density design for large and extra-large UUVs, delivering approximately 30% improvement over its previous design, plus a compact design targeting smaller vehicles.

Why it matters: Kraken can supply batteries to competing underwater-drone manufacturers, regardless of whose sonar they use. A 2026 master supply agreement for XL-UUV batteries supports this opportunity.

NEWS RELEASE+1

Kraken Robotics To Equip New AUV Customer With AquaPix® Sonar | Ocean News & Technology

Circular Synthetic Aperture Sonar (C-SAS) — developed by Kraken

Emerging technology

A dual-frequency sonar system designed to image seabed objects from a full 360-degree range of viewing angles. This can improve object classification and identification beyond conventional straight-line sonar passes.

Why it matters: Potentially valuable for confirming suspicious objects, identifying underwater hazards and inspecting seabed infrastructure. It is a development milestone, not yet evidence of widespread commercial adoption.

NEWS RELEASE

Syrinx DVL - Geo-matching

SPRINT-Nav — acquired through Sonardyne

Combines inertial navigation, Doppler velocity measurements and depth sensing to help underwater vehicles know their position when GPS signals cannot reach them.

Why it matters: Navigation is essential for virtually every autonomous underwater vehicle, whether deployed for minehunting, reconnaissance, submarine support or scientific surveys. It creates an opportunity for recurring platform sales beyond sonar.

GlobeNewswire

Wavefront’s Sentinel IDS leaves underwater drones nowhere to hide | Ioseba Tena

Sentinel Intruder Detection Sonar — acquired through Wavefront

An underwater security system that automatically detects, classifies and tracks divers, swimmer delivery vehicles and underwater drones approaching protected facilities.

Why it matters: Direct application to naval bases, ports, energy facilities and critical maritime infrastructure. Kraken reported new demand in Europe and the Middle East during 2026.

GlobeNewswire

Discovery Stereo Vision System | Technology Catalogue

Discovery Stereo and underwater optical imaging — acquired through Voyis

Advanced underwater cameras and optical perception systems capable of producing detailed imagery and supporting three-dimensional reconstruction of subsea objects.

Why it matters: Sonar finds suspicious objects at distance; optical imaging helps establish precisely what they are. Combining these capabilities can strengthen autonomous mine identification and infrastructure inspection.

EIVA NaviSuite bundles - software tailored to your needs

NaviSuite and visual SLAM — acquired through EIVA

Software for underwater navigation, mission planning, survey processing and three-dimensional mapping. Visual simultaneous localization and mapping (VSLAM) helps vehicles estimate their position while building a map of their surroundings.

Why it matters: Software can turn separate sonar, camera and navigation products into an integrated autonomous mission capability. It also creates potential for software licensing and ongoing support.

Vigilant proves obstacle avoidance capability to the US Navy - Sonardyne

Vigilant Forward-Looking Sonar — acquired through Sonardyne

Detects obstacles ahead of underwater and surface vehicles, helping them navigate safely in complex environments.

Why it matters: Obstacle avoidance is a fundamental requirement for autonomous underwater missions. Kraken reported record deliveries of Vigilant systems in its August 2026 update.

Kraken Robotics

2. Other technologies now within Kraken

Technology	Origin	Strategic application
Multi-Aperture Sonar (MAS)	Covelya	Underwater detection, classification and AUV missions
ScanFish remotely operated towed vehicles	EIVA	Seabed surveys and sensor deployment
Sub-bottom imaging and acoustic coring	Kraken / PanGeo	Locating buried objects and studying seabed geology
Underwater LiDAR	3D at Depth acquisition	Precision 3D inspection of pipelines, cables and infrastructure
Acoustic positioning and underwater communications	Sonardyne	Coordinating autonomous vehicles and underwater assets
Seabed pressure sensors	Covelya portfolio	Persistent subsea monitoring and detection applications

These are established or developing capabilities, not necessarily products invented since the July 2026 Covelya closing. Kraken's August disclosure specifically identified orders for monitoring systems, seabed pressure sensors and ScanFish vehicles.

Kraken Robotics+2

3. The most revealing development: REPMUS 2026

The recent NATO-aligned REPMUS exercise in Portugal provides an important illustration of the acquisition's strategic value.

As you previously highlighted, Kraken reported the following results:

Kraken synthetic aperture sonar

21/21

Targets detected and classified across eight survey areas

Voyis imaging + EIVA software

100%

Reported target identification rate in the exercise

The exercise demonstrated how the technologies complement one another:

Kraken SAS

Detects and classifies potential threats

Voyis optical imaging

Captures detailed images of identified targets

EIVA NaviSuite / VSLAM

Supports localization, mapping and target identification

Integrated underwater intelligence

More complete information for naval operators and autonomous systems

The results are encouraging evidence of interoperability, although controlled exercises do not establish performance under every operational condition.

An important qualification: these systems principally support mine detection, classification and identification. Physical mine neutralization or recovery generally requires additional equipment and procedures.

4. Which technologies have the greatest investment potential?

My ranking is based on addressable markets, potential adoption across multiple platforms and opportunities to increase Kraken's revenue per customer—not on announced product-specific profit margins.

Rank	Technology	2–4 year outlook
1	SeaPower batteries	Very high — growing UUV market and potential production-volume contracts
2	SPRINT-Nav and underwater positioning	Very high — essential equipment across multiple vehicle classes
3	Integrated SAS, Voyis and EIVA systems	High — differentiated end-to-end naval capability
4	Sentinel security sonar	High — ports, naval bases and critical infrastructure
5	Circular SAS	Promising — commercial uptake still needs validation
6	Underwater LiDAR and sub-bottom imaging	Moderate to high — attractive commercial and defence niches

The market opportunity is already extending beyond demonstrations. Kraken reported approximately C$355 million in combined announced 2026 orders by August 27, across Kraken and Covelya, covering products such as batteries, navigation, positioning, sonar and monitoring equipment. This is an announced-orders measure, not recognized revenue or a current backlog figure.

Kraken Robotics+1

5. My investment assessment

I believe the most significant consequence of the Covelya acquisition is that Kraken no longer needs to win the entire underwater-drone contract to benefit from it.

Consider an allied navy commissioning a fleet of autonomous underwater vehicles. Kraken may be able to supply the batteries, navigation, positioning, sonar, imaging and mission software, even when another defence contractor builds the vehicle itself.

This is a potentially powerful business model because it broadens Kraken's customer base and increases the value of its components on each platform.

It is particularly relevant to NATO's increasing interest in persistent underwater surveillance, protection of subsea cables and pipelines, and autonomous operations in challenging maritime environments.

The principal investment risks remain acquisition integration, defence procurement delays, competition from established naval technology suppliers, and the possibility that the share price already discounts substantial growth.

My conclusion: SeaPower batteries and the acquired Sonardyne navigation technologies could ultimately be as important to Kraken's commercial growth as KATFISH. The combination of Kraken SAS, Voyis optical imaging and EIVA software may become its most differentiated integrated defence offering.

The next evidence I would watch is whether Kraken begins winning substantial contracts explicitly bundling several of these technologies together, rather than selling individual components.

That would be a meaningful indication that the Covelya acquisition is delivering strategic value beyond simply adding six established companies and their existing revenues.

Investment verdict — BUY/HOLD, with discipline

My outlook remains bullish for 2027. Kraken's combination of advanced sonar, subsea batteries, autonomous systems integration and established NATO customer relationships gives it an increasingly attractive competitive position.

Nasdaq 100 - Growing concerns about excessive AI infrastructure spending, elevated technology valuations and increasingly complex financing arrangements

 

Nasdaq 100 vs CPI

Nasdaq-100: Are Institutional Investors Preparing for a Correction?

Update | October 26, 2026

The Investment Picture

Growing concerns about excessive AI infrastructure spending, elevated technology valuations and increasingly complex financing arrangements have raised questions about the sustainability of the Nasdaq's AI-driven rally.

However, the available short-selling, options and futures positioning data suggest a cautious market, but not one uniformly positioned for a major correction.

What the Numbers Tell Us

• Magnificent Seven: Reported short interest remains relatively modest, generally below 2% of float, except Tesla at approximately 2.24%. Nvidia, Meta and Amazon experienced increases during the latest comparison period, while Apple, Microsoft and Alphabet experienced decreases.

• QQQ options: The reported put/call open-interest ratio was approximately 1.45 on October 23, suggesting substantial downside protection, although not necessarily outright bearish speculation.

• Nasdaq futures: The previously reviewed CFTC figures indicated that leveraged funds had substantially reduced their net short positions over the preceding three months, while asset managers remained net long.

• Overall Nasdaq short interest: Reported shares sold short increased approximately 2.2% between July 31 and September 30.

Where the Real Risk Lies

The greater threat may not be short sellers, but the financial commitments underpinning the AI revolution.

Microsoft, Amazon, Alphabet, Meta and other technology giants are investing enormous amounts in data centres, advanced semiconductors and power infrastructure. Increasing financing obligations, uncertain future returns and concentrated market leadership create vulnerabilities if AI monetization fails to keep pace with spending.

A disappointment in earnings, financing conditions or anticipated AI returns could trigger a broad market repricing, even without substantial short-selling activity.

Investment Verdict: CAUTIOUS — NOT YET BEARISH

The available evidence supports defensive positioning and selective profit-taking, but does not yet establish a compelling case for aggressively shorting the Nasdaq.

Investors should monitor whether rising short interest among major technology companies coincides with increasing QQQ put demand and renewed institutional futures selling.

That combination would represent a stronger warning of a potential market correction.

Data Sources and Reporting Limitations

This assessment relies on several reporting systems with different publication schedules, methodologies and limitations:

1. Nasdaq/FINRA short interest: Published twice monthly, generally approximately 8–10 business days after the reporting settlement date. The company-specific figures used in this assessment primarily reflect September 30, 2026, positions, not live October 26 positions. Short interest measures outstanding short positions, not daily short-selling volume.

2. QQQ options: The cited October 23 put/call figures represent a snapshot of options positioning. High put open interest does not necessarily indicate bearish speculation; positions may represent hedging, spreads or market-making activity. The figures were obtained from third-party analytics rather than independently reconciled exchange-level records.

3. CFTC Nasdaq-100 futures: Commitments of Traders reports normally reflect Tuesday positions and are published Friday. These reports aggregate positions by trader category and do not disclose individual institutions, trading intentions or complete exposure across stocks, ETFs and other derivatives. The previously cited October 20 figures have not been independently reconciled against the underlying CFTC dataset.

4. Percentage of float: Short-interest percentages may vary between data providers because of differences in free-float estimates, share-class treatment, corporate actions and reporting dates.

5. Historical comparisons: The July–October analysis combines observations from different dates and reporting sources. It is not a fully synchronized, independently audited 90-day dataset.

Important qualification: These indicators help assess investor positioning and market sentiment. They cannot independently establish institutional intentions, predict the timing of a correction or determine whether the Nasdaq is fundamentally overvalued.

Primary reference sources:

• Nasdaq Trader — Short Interest Reporting: https://www.nasdaqtrader.com/trader.aspx?id=ShortInterest

• Nasdaq — Short Selling Education: https://www.nasdaq.com/public-policy/resource-center/short-selling-resource-hub

• CFTC — Commitments of Traders: https://www.cftc.gov/MarketReports/CommitmentsofTraders/index.htm

Bottom line: The Nasdaq's greatest vulnerability may be the enormous expectations already reflected in AI-related valuations. The risks warrant close monitoring, but the available positioning data do not confirm that a major downturn is imminent.

Monitoring established: Weekly review of Magnificent Seven short interest, QQQ options positioning and CFTC Nasdaq-100 futures activity. Figures reflect the latest reporting periods available for the October 26 assessment, rather than live trading positions.

Should We Be Concerned About the Nasdaq? Is the Ai boom creating a financial bubble?

Nasdaq Vs CPI 10 years

 | Retire.Fund | October 18, 2026

Is the AI Boom Creating a Financial Bubble?

The Nasdaq has been one of the greatest beneficiaries of the artificial intelligence revolution. However, beneath the excitement surrounding AI, quantum computing and autonomous technologies, several financial warning signs are emerging that investors should not ignore.

Our concern is not that AI will fail. It is that the enormous cost of building AI infrastructure could create a financial crisis for some of the companies and institutions financing it.

1. Too Much Market Concentration

The Nasdaq-100 has become heavily dependent on a handful of technology giants, including Nvidia, Microsoft, Alphabet, Amazon, Meta, Apple and Tesla.

Together, these companies represent an exceptionally large portion of the index. (37%)

Consequently, disappointing financial results from just a few could trigger a substantial market correction.

This concentration becomes particularly concerning when several of these companies are simultaneously committing extraordinary amounts of capital to AI infrastructure.

2. The AI Capital Expenditure Explosion

Alphabet, Microsoft, Amazon and Meta are collectively spending hundreds of billions of dollars building data centres, purchasing advanced semiconductors and securing electricity supplies.

The financial question is increasingly straightforward:

Will AI generate sufficient revenue and profits to justify this unprecedented investment?

Rising depreciation expenses, rapid technological obsolescence and pressure on free cash flow could eventually force companies to reduce their infrastructure spending.

That would have consequences not only for the hyperscalers but also for semiconductor manufacturers, networking companies, construction firms and power infrastructure suppliers.

3. The Hidden Debt Problem

Perhaps the most troubling development is the growing use of special-purpose financing vehicles, joint ventures and private-credit arrangements.

Meta provides an important example. Its multibillion-dollar data-centre partnerships involve substantial project-level borrowing, long-term lease commitments and financial guarantees.

Although these arrangements can comply with accounting regulations, they make it more difficult for investors to assess the complete financial exposure associated with AI infrastructure development.

The danger is that losses could spread beyond technology companies into private-credit funds, insurers, pension funds and lending institutions.

This does not mean a banking crisis is inevitable, but the financial interconnectedness deserves considerably more scrutiny.

4. CoreWeave: A Warning Sign?

CoreWeave, a major provider of AI computing infrastructure, has experienced significant pressure in its debt markets, with yields on certain bonds recently reaching approximately 15–16%.

Such borrowing costs raise serious questions about the long-term economics of heavily leveraged AI infrastructure businesses.

CoreWeave could become an early warning indicator of broader financing difficulties.

The historical comparison is the telecommunications boom of the late 1990s. Internet adoption ultimately transformed the global economy, yet many companies financing the infrastructure suffered enormous losses when investment exceeded near-term commercial demand.

AI could follow a similar path: the technology succeeds, while some of the investors financing its expansion lose substantial amounts of money.

5. November's U.S. Elections Add Uncertainty

The November 3 midterm elections introduce another potential source of market volatility.

Changes in congressional control could influence technology regulation, investigations into financing practices, energy policy and the economics of data-centre construction.

However, the election itself is unlikely to determine the Nasdaq's direction. Corporate earnings, credit conditions and interest rates remain more important.

The approaching quarterly earnings reports from major technology companies may provide the clearest indication of whether AI spending is translating into sustainable profits.

6. Is It Time to Short the Nasdaq?

We believe the case for protecting technology portfolios has strengthened.

The combination of market concentration, enormous capital expenditures, complex financing arrangements and deteriorating credit conditions presents a credible risk of a significant correction.

Nevertheless, shorting the Nasdaq outright carries substantial risks. Technology stocks can rally sharply even when fundamental concerns remain unresolved.

A more measured approach might involve reducing excessive technology exposure, maintaining greater cash reserves or using modest, defined-risk hedging strategies.

For Canadian investors, unleveraged inverse Nasdaq ETFs or carefully structured put options may offer alternatives to outright short selling. These instruments have their own risks and require active management.

Our Investment Outlook

Nasdaq Outlook: CAUTIOUS — Elevated Correction Risk

Investment Horizon: Next 3–12 Months

We are not predicting an imminent financial collapse. 

The largest technology companies remain highly profitable, and ... 

demand for AI computing continues to expand.

However, investors should recognize that the financial foundations supporting the AI infrastructure boom are becoming increasingly complex and capital-intensive.

Investors should closely monitor:

• Free cash flow and capital expenditure guidance from major technology companies.

• Credit-market stress at CoreWeave and other heavily financed AI operators.

• Private-credit exposure and off-balance-sheet financial commitments. (Meta comes to mind)

• Signs of slowing data-centre construction or equipment orders.

• Nasdaq market breadth and the performance of its largest constituents.

The Bottom Line

Yes, we should be concerned about the Nasdaq — not because the AI revolution is ending, but because investors may be underestimating the financial risks associated with building it.

The Nasdaq's concentration in a handful of technology giants creates the possibility that financial disappointment in relatively few companies could affect the entire index.

The greatest risk may be that investors are correctly anticipating the technological future while overpaying for the companies and infrastructure required to deliver it.

Our preferred strategy is caution rather than panic: 

protect capital, avoid excessive leverage, maintain liquidity and be prepared for opportunities if valuations correct.

The AI revolution may be only beginning. That does not mean every company financing it will be a successful investment.

---

Retire.Fund Investment Research — October 18, 2026

This commentary is intended for general investment information and does not constitute personalized financial advice. Market scenarios are uncertain, and investment strategies involving short positions or derivatives can produce substantial losses.

(Monitoring the Nasdaq-100)