The Unwind: Why Jordi Visser Says We're in a Stagflationary Bear Market

Analysis based on Jordi Visser's latest market commentary.

When Everything Converges at Once

I just reviewed Jordi Visser's latest analysis, and it's as sobering as it is clarifying. Visser isn't predicting a normal cyclical correction. He's arguing we've entered a unique stagflationary regime where multiple forces — Fed policy paralysis, AI-driven disruption, and a 17-year credit unwind — are converging to create what he calls a "trader's market" where traditional portfolio construction simply fails.

The setup is unlike anything in recent history. Debt-to-GDP has reached 122%, compared to 30% in the 1970s when the Fed last fought stagflation. AI has moved beyond infrastructure buildout into "agentic" deployment — systems that teach themselves and threaten entire sectors. And the credit cycle that began in 2007 is finally unwinding, starting with private credit redemption runs that threaten to cascade through insurance and pension balance sheets.

"We are in stagflation," Visser stated flatly. "The market cares about that narrative."

This isn't just macro pessimism. Visser's own portfolio is navigating this environment — up on the year through strategic positioning in AI edge plays while avoiding the software sector massacre. Here's how he sees it unfolding.

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The Stagflation Trap

Visser's core thesis is that the Fed is structurally trapped in ways that make the 1970s look manageable. When Paul Volcker raised rates to 20% to crush inflation, debt-to-GDP was 30%. Today it's four times higher. When equity markets were 40% of GDP, aggressive tightening was painful but survivable. Today they're 220% — five and a half times higher.

The math is brutal. The Fed cannot raise rates meaningfully without triggering systemic collapse. But they also cannot cut rates without fuelling inflation. This creates the stagflationary middle path: persistent inflation above target, real rates that stay negative, and an economic environment that destroys traditional fixed-income portfolios while creating volatility that whipsaws equity investors.

Visser points to historical precedent. He's identified 32 prior instances of the current PMI pattern (ISM prices paid above 75 with employment below 50). Excluding COVID, the average S&P decline in these scenarios is 30–48%. This isn't a mild correction he's describing. It's a structural repricing.

"PMI trades are still working," Visser noted. "ISM prices paid component above 75 with employment below 50."

The oil component cements the inflationary pressure. Unlike temporary spikes, Visser argues oil has established a structural higher floor due to geopolitical disruption and AI-driven energy demand. This isn't going away. It creates persistent cost-push inflation that the trapped Fed cannot address.

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AI's Second Wave: Beyond the GPU

If the macro setup explains why traditional assets struggle, Visser's AI thesis explains where the opportunities hide. And it's not where most investors are looking.

We've moved past the "GPU world" — the infrastructure buildout phase where Nvidia and data centre plays dominated. Visser's focus has shifted to edge computing, packaging, analog chips, and the specialised hardware that enables AI deployment outside data centres.

The catalyst is what Visser describes as "agentic AI" — systems that move beyond training on static data to recursive self-improvement. He references Anthropic's latest model as "a step change" — AI that teaches itself, which Visser considers almost too consequential for public release.

"We've moved past the GPU world," Visser emphasised. "We've moved into the things that I've been highlighting."

This shift has profound implications for portfolio construction. Visser has repositioned away from memory chips toward these edge plays. The logic is straightforward: as AI moves from training to deployment, the value accrues to different parts of the stack. Memory becomes commoditised. Specialised packaging and edge compute become scarce.

Meanwhile, the software sector faces what Visser calls "permanent AI pressure." The IGV (software ETF) is down and hasn't bounced. The moats that justified 30x revenue multiples — proprietary code, network effects, switching costs — erode when AI can replicate functionality in hours. Visser is short software explicitly, expecting continued multiple compression.

"Software led deflation," Visser noted. "Software hasn't bounced."

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The Credit Cycle Unwinds

Perhaps the most underappreciated element of Visser's analysis is the credit unwind. He argues we haven't had a real credit cycle since 2007 — 17 years of buildup that is now beginning to deflate.

The starting gun was Blue Owl's crisis. Investors asked to pull 22% from one fund and 40% from another. The firm sold $1.4 billion in assets to "connected parties" at distressed levels. This isn't an isolated incident. It's the beginning of a broader liquidity crisis.

"Blue Owl investors asked to pull 22% out of one fund and 40% out of another," Visser recounted. "We haven't had a credit cycle honestly since 2007."

European regulators are investigating bank exposure to private credit. Insurance companies hold mispriced credit assets that haven't been marked to market. Unlike the 2015–16 energy credit crisis, which was sector-specific, this spans multiple sectors — SaaS, private equity portfolio companies, commercial real estate.

Visser expects forced asset sales to cascade through the system. Pension funds and insurance balance sheets, loaded with private credit allocations that seemed safe in a zero-rate world, face redemption pressure and liquidity constraints. The unwinding has just started.

The implications for equity markets are significant. Credit contraction reduces buyback capacity. Leveraged companies face refinancing cliffs. The multiple expansion that powered the bull market reverses as liquidity tightens.

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Positioning for the Trader's Market

So how is Visser navigating this? His approach represents a fundamental break from traditional asset allocation.

First, he's abandoned sector-based investing. The old rules — overweight tech, underweight energy, balance growth and value — don't apply in a world where AI disrupts software, stagflation whipsaws traditional assets, and credit contraction threatens leveraged balance sheets.

Instead, Visser describes this as a "trader's market" — high cash levels, tactical positioning, and factor rotation volatility that punishes buy-and-hold strategies. His model portfolio pivoted from Micron toward specialised AI edge names. He's short software through put spreads. He's long commodities and energy as the stagflationary trade.

The transport data supports this positioning. Despite recession fears, flatbed rates show "some of the strongest volumes and rate strength in history." Nominal GDP remains strong even as real growth rolls over. This is the stagflationary sweet spot — nominal activity that supports revenues, but inflation that compresses margins and destroys fixed-income portfolios.

Utilities outperforming despite higher rates confirms the AI electricity demand thesis. "Utilities have acted great. This is data centres. This is usage of AI. This is electricity demand going higher."

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What This Means

Visser's framework challenges several consensus views. First, that the Fed can engineer a soft landing. He argues the debt levels make this impossible — any meaningful tightening breaks the system, while easing fuels inflation. Second, that AI is primarily a software story. He argues the value has moved to edge hardware and infrastructure. Third, that the credit cycle can extend indefinitely. He argues the unwind has begun and will cascade.

The portfolio implications are significant. Traditional 60/40 construction assumes a Fed that can tighten to control inflation and ease to support growth. If that assumption is wrong — if the Fed is trapped between inflation and systemic risk — then portfolios need different tools. Scarcity assets, tactical trading, and factor-aware positioning become essential rather than optional.

For me, Visser's analysis resonates because it treats the current environment as unprecedented rather than cyclical. The debt levels are unprecedented. The AI disruption is unprecedented. The credit buildup is unprecedented. These aren't temporary dislocations that resolve with time. They're structural shifts that require structural responses.

The question isn't whether Visser is right about every detail. The question is whether your positioning reflects a world where the Fed cannot save you, where AI destroys traditional moats, and where the credit unwind is just beginning.

That's the regime. Everything else is commentary.

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Lisa writes weekly market analysis at PTLsignal.com, focusing on the intersection of macro, technology disruption, and behavioural finance. This is not investment advice. Do your own work. Manage your own risk.

Follow Jordi Visser at Visser Labs and on X.