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Monday, November 9, 2026

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

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.