Why Bitcoin WINS No Matter What Happens to Inflation
TL;DR
Jordi Visser argues Bitcoin is decisively decoupling from deflationary software stocks to become a beneficiary of both inflationary manufacturing bottlenecks and deflationary innovation trends, positioning it as the optimal asymmetrical growth asset regardless of macro direction.
⛓️ Bitcoin's Decoupling from Tech 3 insights
Software margins entering freefall
Agentic AI eliminates the 'your margin is my opportunity' dynamic that drove software stocks for 15 years, destroying terminal value assumptions for code-based businesses.
Bitcoin miners lead crypto recovery
Crypto mining stocks are outperforming within the software ETF due to acute global compute shortages, providing ecosystem support for Bitcoin.
Asset class migration
Bitcoin is shifting from the 'abundance' tech bucket to a PMI-sensitive, commodity-like inflation hedge that moves with manufacturing bottlenecks rather than SaaS multiples.
⚠️ The Split Macro Regime 3 insights
Simultaneous inflation and deflation
Manufacturing bottlenecks (memory, CPUs, chemicals) are pushing PMIs to 2022 highs while labor disruption and affordability crises create deflationary social pressures.
Negative real yields incoming
Visser predicts headline CPI will exceed 4% while 3-month Treasury bills stay below 4%, creating a negative real yield environment historically bullish for Bitcoin.
End of commodity bear market
After 17 years of commodity deflation, global shortages in physical goods and freight constraints are driving a secular commodity bull market.
🏭 The Scarcity Infrastructure Play 3 insights
Chemicals as critical AI infrastructure
Optical fiber tubing (Corning) and semiconductor bonding chemicals are essential for packaging GPUs with memory in the agentic AI era, driving US chemical shipments 'through the roof.'
US natural gas advantage
Domestic chemical producers benefit from cheap natural gas feedstock versus oil-dependent foreign competitors, creating a reshoring tailwind.
AI vehicle upgrade cycle
Even with flat total auto sales (~16M units annually), the shift to AI-capable vehicles requires exponentially more chips and chemicals per car for voice control and automation features.
🤖 AI's Structural Phase Shift 3 insights
From training to inference
The AI buildout is pivoting from Nvidia-dominated data center GPUs (pre-training) to inference-heavy architectures requiring memory (Micron) and power semiconductors (Marvell, Texas Instruments).
Semiconductor index concentration
Semiconductors now comprise 17% of the S&P 500 ($10 trillion market cap), with 75% concentrated in just three companies: Nvidia, Broadcom, and Micron.
Private startup advantage
Legacy public companies face cultural friction adopting AI, while private startups without legacy baggage will capture disproportionate value creation from the technology.
Bottom Line
Position for physical scarcity in AI infrastructure (semiconductors, chemicals, commodities) while using Bitcoin as the primary growth allocation that wins in both inflationary and deflationary regimes as traditional software margins collapse.
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