In this week's video, I explain why 2026 is shaping up as a year of deleveraging. That doesn’t mean bearish, but it does mean conditions are structurally different from anything we’ve seen since 2007.
My turbulence model is flashing signals we normally see after the S&P has already fallen, but this time they’re firing before the drawdown. That distinction matters.
At the same time, financials are below the 200-day moving average, and the 200-day has turned down for the first time since 2023. Credit stress is spreading from private markets into AI infrastructure and data center financing, while oil above $80 and Strait of Hormuz risk add an inflation shock to an already fragile system. The conditions of this market have changed, making short-term decision making far more dangerous.
On the credit side, Blackstone faced $1.7B in net redemptions, BlackRock limited withdrawals and marked a loan from par to zero in just three months, and the private credit risks Lloyd Blankfein and Mark Rowan warned about are now appearing in headlines daily. The stress is spreading into the AI buildout itself, with Oracle scrapping data center expansion plans with OpenAI and announcing thousands of layoffs amid a cash crunch.
Meanwhile AI progress is moving faster than enterprise adoption. Jensen Huang called OpenClaw potentially the most important software release ever, the fastest open-source download in history. But disruption cuts both ways: SaaS is transitioning from a predictable growth annuity to a technology risk asset, the computing stack is being rewritten by agents, and the labor market shows zero job creation outside healthcare.
The latest payroll report was negative, and labor diffusion has been deteriorating since 2024. AI is impacting hiring through freezes and displacement rather than mass layoffs.
For portfolios, I favor IT services and consulting firms, cybersecurity, and Palantir on the AI adoption side, while maintaining that energy and materials should eventually overtake software in market cap as the AI infrastructure cycle drives a commodity supercycle.
This is a trading year. Have a plan, stay nimble, and don’t assume the old playbook works on a muddy track. The speed of AI progress is already impacting stocks, enterprises, geopolitics, credit markets, and potentially the coming midterms.
Timestamps
(00:00–03:14)
2026 is a deleveraging year, not a bearish call. Comparing current conditions to LTCM and the 2007 Quant Quake. Credit is becoming the dominant issue and the old playbook doesn’t work when conditions change.
(03:14–06:29)
AI is disrupting everything simultaneously: software, labor, government, commodities, and capital structures. Turbulence model signals show cross-asset volatility clustering before the market drawdown.
(06:29–08:27)
Prime brokerage leverage near highs. VIX approaching 30 with potential to reach 50. Quant and covariance strategies forced to reduce leverage as correlations break down.
(08:27–11:00)
Financials break below the 200-day moving average. Software suffers a violent decline relative to the S&P. Oil above $80 and gasoline surging, pointing to higher CPI prints.
(11:41–15:36)
Credit stress spreads: Blackstone redemptions, BlackRock limits withdrawals, and private credit exposure expanding into insurance and retail markets.
(15:59–18:25)
This is not a buy-the-dip environment. Oil, credit stress, and AI disruption cannot all reverse at once.
(18:25–22:08)
Technical conditions deteriorate. Breadth has not panicked yet and oversold signals have not fully triggered.
(22:24–25:44)
Momentum unwind across tech and semiconductors. Jet fuel prices spike, signaling inflation pressure.
(26:09–28:12)
Labor market shifts: negative payroll print and zero job creation outside healthcare. AI affecting hiring through freezes.
(28:50–33:12)
OpenAI raises $110B and Anthropic revenue accelerates. Jensen Huang highlights OpenClaw as a breakthrough.
(33:12–40:13)
The computing stack is being rewritten. SaaS thrived in the old model but agents and AI-native systems will reshape software. Consulting firms benefit from the transition.
(40:13–49:00)
Oracle as the fragile link in the AI buildout. SaaS becoming “dead money” as multiples compress.
(49:00–56:12)
Energy and materials should eventually overtake software market cap. AI geopolitics intensifying and Bitcoin emerges as a potential beneficiary.