Jordi Visser

Bitcoin's Turn Is Next — The Easy Money AI Trade Is Over? | Jordi Visser

- Chinese open-source AI models are catching up to US labs through distillation and algorithmic efficiency, shifting the competitive landscape from closed to open models and accelerating commoditization of intelligence. - Google's negative free cashflow quarter reflects a deliberate CapEx bet on AI infrastructure; a forensic analysis suggests a 75% probability of success, with the main risk being hardware supply constraints rather than strategy. - Memory and compute remain the critical bottlenecks—not just capacity but speed. Context windows and agentic file systems will require architectural redesigns; this is a hardware problem that throws resources alone cannot solve quickly. - Travis Kalanick's stealth robotics and ghost-kitchen business applies systems thinking to reduce operational costs across verticals (logistics, manufacturing, labor) using specialized robots rather than humanoids, signaling deflationary pressure ahead. - The "easy money" phase of AI investing is over; 7–8x returns are unlikely, but 30% annual returns in infrastructure plays (e.g., memory chips) remain viable as adoption accelerates. - Regulatory clarity on crypto and AI is performative from a Bitcoin perspective, but tokenization, stablecoins, and SWIFT replacement are inevitable; geopolitical adoption (Japan, South Korea, Russia) validates the shift.

Bitcoin's Next Move Depends On One Fed Decision | Jordi Visser

- AI mid-cycle slowdown is driving a deleveraging event across tech stocks; many semiconductor and AI names have retraced 30–60% from peaks after 3–10x gains, though Jordi expects consolidation rather than complete collapse. - Open-source vs. frontier models: Kimi K3 performs competitively, but enterprise adoption will likely favor U.S. closed-source models (Anthropic, OpenAI) due to integration, compliance, and cultural alignment concerns; "cultural weights" in models remain poorly understood and will become critical. - Model routers and multi-model inference are emerging as enterprises optimize costs by routing simple queries to cheaper models and complex ones to frontier systems; the optimal number of models in such systems remains unclear. - Inflation has cooled significantly; PCE core data is an outlier. Fed Chair Kevin Warsh signals reform-focused, AI-aware monetary policy rather than traditional hawkish or dovish stances, reducing July rate-hike odds to ~10%. - Ethereum outperforming Bitcoin (up ~20% month-to-date); crypto is attracting capital due to lower realized volatility (~30) versus AI stocks (~100), offering better risk-adjusted exposure on a vol-adjusted basis. - AGI convergence and disruption timeline: If AGI arrives within three years, public companies face structural multiple compression despite strong earnings growth; AI-native private firms and robotics/embodied AI will likely outperform legacy public equities.

Has Bitcoin Hit The Bottom? | Jordi Visser

- AI mid-cycle slowdown is ending.** Jordi sees sentiment and volatility reaching levels that suggest a bottom is forming; he expects the infrastructure trade to shift focus from pure compute spending to **consumer agents, which will require 30x more compute than coding agents. - Meta, Apple, and Google pivoting to consumer agents and personal AI. These companies are repositioning from purely enterprise/cloud plays to consumer-facing agentic systems, which Jordi believes will unlock significant ROIC surprises once deployed at scale. - Bitcoin turning bullish on macro and technical grounds. Jordi identified his first RSI divergence since late 2023, suggesting a bottom. He expects Bitcoin well above $100k within a year, driven by Fed policy shifts, tokenization trends, and recognition of crypto as part of financial guardrails. - Tokenization and stablecoins as economic infrastructure. The administration views digital assets, tokenization, and stablecoins as critical to the next phase of US financial leadership; this ties directly to AI-driven agentic commerce and liquidity of dormant real estate assets. - Robotics (One X hand demo) as inflection point. Synthetic tendon-based robotic hands represent a major leap; combined with advancing AI, this unlocks recursive self-improvement and exponential problem-solving in science, energy, and healthcare. - Regional banks and healthcare (Eli Lilly) as secondary plays. Consolidation in regional banking and AI-driven breakthroughs in biotech (Eli Lilly's sovereign AI on Blackwell chips) represent high-ROIC opportunities outside pure semiconductors and crypto.

Everyone Gave Up On Bitcoin At Exactly The Wrong Time | Jordi Visser

- Bitcoin bottoming signals: Technical divergences suggest Bitcoin may have hit lows; institutional selling in Bitcoin ETFs continues, but the narrative around further decline is aging. Key resistance at the 200-day moving average (~$70k) could signal the start of a new phase. - AI mid-cycle slowdown: The "easy money" phase of AI is ending. Infrastructure buildout faces real headwinds—government involvement (model shutdowns, data center politics), Korean model competition, and regulatory scrutiny are tempering expectations for effortless gains in AI stocks. - Multiple compression vs. earnings decline: AI company earnings remain strong, but valuations are compressing as volatility shakes out retail traders. Broadening adoption into healthcare, insurance, and enterprise will drive next phase, not infrastructure alone. - Memory and Micron as AI bottleneck: Memory chips (not processors) are the true constraint for AI scaling. Expect normalized 30–40% annual returns instead of 30–40% weekly moves; SK Hynix, Samsung, and Micron will remain critical. - Fed policy under Warsh and productivity outlook: Warsh signals lower rates ahead and urges focus on AI productivity gains rather than near-term inflation ticks. Core inflation may decline due to AI efficiency, supporting asset valuations long-term. - Humanoid robots and robotics scaling: China is releasing $5k humanoids; US self-driving and robotics are accelerating. This $90 trillion build-out will sustain hardware demand for years; robotics adoption will likely begin in emergency and public-safety use cases first.

Why Are Bitcoin & AI Stocks CRASHING?! | Jordi Visser

- AI trade not over: The pullback in AI stocks (particularly Micron's sharp moves) represents a healthy mid-cycle slowdown, not a bubble collapse. Micron's supply-demand imbalance extends to 2028; memory shortage is structural, not speculative. - Memory as critical bottleneck: Agentic AI requires vastly more memory than prior generations—comparable to adding 4 billion people to the planet overnight. This constrains growth speed but prevents destabilizing worker displacement too quickly. - Claude and ChatGPT dominating: Google's Gemini has lost mind-share among power users. Claude (Anthropic) and ChatGPT now represent ~90% of usage; Google has fallen to third place, losing senior talent to Anthropic. - Agentic loops and job displacement: Autonomous AI agents running workflows (loops) and communicating via code will accelerate white-collar job losses faster than prior waves. Two power users per 100 employees are already training their replacements. - Debasement trade capitulation: Bitcoin, gold, and silver sold off together due to quarterly rebalancing and dovish sentiment shift, not fundamental debasement failure. Debasement remains; recovery hinges on AI agents and velocity of money increase. - Tokenization and third wave: Bitcoin's explosive third wave (Elliott Wave) arrives when AI agents transact at scale. Higher velocity of money and tokenized assets reduce middleman friction; this is the endgame thesis, not speculation.

The Biggest Pivot In AI History Is Happening Right Now | Jordi Visser

Should You Invest In SpaceX IPO, Elon Musk, Bitcoin or AI? | Jordi Visser

- SpaceX IPO valuation and dual nature as both space/infrastructure and AI company; Elon Musk's competitive advantage in building data centers faster than competitors via vertical integration and engineering excellence. - Critical minerals and supply chain bottlenecks (copper, silver, indium phosphate) required for AI buildout; China controls key materials, creating geopolitical friction that may slow infrastructure expansion. - AI model commoditization and token cost dynamics; subsidized pricing by OpenAI and Anthropic below actual production cost; demand for cheaper alternatives (DeepSeek, open-source models) creating deflationary pressure on revenue. - Talent migration and leadership shifts in AI firms; prediction that Sam Altman may not lead OpenAI within a year; Anthropic gaining momentum in coding and talent attraction. - Physical infrastructure, humanoids, and robotics as critical future bottleneck; Jeff Bezos' Prometheus manufacturing venture targeting 10x efficiency gains via AI-driven hardware development. - New York Knicks playoff experience as analogy for irreplaceable real-world value and blockchain utility; commemorative tickets selling for $300+ on eBay highlighting scarcity and authenticity concerns in AI-deepfake world.

Why Is Bitcoin CRASHING?! | Jordi Visser

- Bitcoin's 50% decline from all-time highs reflects a market rotation away from hardware (AI chips/infrastructure) toward software applications, not a fundamental breakdown in the asset's value thesis. - The four-year halving cycle is less relevant now; Bitcoin and stocks are **decoupling for the first time**, suggesting crypto may thrive independently of traditional markets. - AI agents will drive long-term Bitcoin adoption because agents, not humans, will dominate commerce; Bitcoin is positioned as the settlement layer for machine-to-machine transactions. - Specialized AI models beat general-purpose ones; Eli Lilly exemplifies this by building proprietary models on proprietary data, creating a defensible moat that commodity LLMs cannot replicate. - Peptides (particularly GLP-1s) are the "API key for the human body"—unlocking applications in weight loss, diabetes, addiction, and potentially reversing disease; Eli Lilly's data advantage and acquisition spree position it as the dominant player. - Healthcare entitlements and household wealth are critical macro factors; companies solving longevity and metabolic disease will reshape the economy and the debt trajectory.

#753: The Economy Is AI Now with Jordi Visser

- AI demand is genuinely exponential, not speculative; physical infrastructure bottlenecks (energy, chips, data centers) are the real constraint, not economics or technology limitations. - The agentic economy launched in November 2024 with Claude Opus 4.5; this represents a shift from pre-training to deployment, effectively adding 7.5 billion "digital consumers" overnight and explaining parabolic growth in token demand and compute spending. - Portfolio construction is being rewritten; traditional 60/40 portfolios are obsolete as AI-driven equities now dominate GDP growth and stock market gains disproportionately benefit Americans through direct and indirect wealth channels. - Incumbent skepticism stems from psychological ego protection—admitting being wrong on AI threatens public credibility, making it harder for established voices to pivot narratives despite clear evidence of exponential progress. - Tokenization and cryptocurrency will absorb financial volumes the traditional system cannot handle; stable coins, real-world asset tokens, and Bitcoin's infrastructure are necessary plumbing for the agentic economy. - SaaS businesses face compression unless they transition from seat-based models to API-native, agent-friendly architectures; companies that fail this transition will face margin pressure and multiple compression during buildout.

How To Grow Your Money In AI Revolution | Jordi Visser

- Stock market strength and retail enthusiasm: Markets posting 21 new all-time highs in 2025 (on pace for ~50 annually), with strong retail participation. S&P equal-weighted index also at record highs, indicating broad-based gains rather than single-stock concentration. - AI as primary driver of bull market: AI-related earnings growth and deployment (data center buildout, semiconductors, infrastructure) creating a "first inning" of exponential disruption across global markets. Companies like NVIDIA, ASML, and semiconductor leaders seeing outsized returns. - Biotech-AI intersection underappreciated: Eli Lilly revenue up 55% year-over-year as GLP-1 drugs gain adoption. Company partnering with Isomorphic Labs (DeepMind), NVIDIA, and in silico on AI drug discovery. Historical parallels drawn to tech companies post-iPhone acquiring transformative assets. - Wealth inequality and consumer confidence disconnect: Consumer sentiment surveys show pessimism despite strong asset prices and spending data. Wealth concentration from AI gains creating political friction (data center opposition, tech exec booing on campuses) that may be permanent structural issue. - Personalized AI applications expanding beyond finance: GPT Health, custom LLM analysis of personal DNA/health data, and AI-assisted diagnosis emerging. Anecdotal evidence of parents using AI to solve rare diseases in children and identify environmental health hazards (mold). - Portfolio allocation shift necessary for compounding: Traditional diversification into bonds/private equity underperforming; AI thematic portfolio (100 names) up ~60% year-to-date vs. S&P 10%. Advisor recommendation: question wealth managers on allocation to AI, private credit, venture capital, and emerging exponential sectors.

Bitcoin Will Breakout By Summer If This Happens | Jordi Visser

- Interest rate expectations: Market shifted from pricing three rate cuts to one potential hike within a year, driven primarily by inflation concerns rather than strong earnings alone. Cleveland Fed now-casting inflation for May estimated at 4.2% year-over-year CPI. - Geopolitical disruption: The Iran-Strait of Hormuz situation has created a three-month supply disruption affecting oil prices and global inventories. Unlike 2022, this is commodity-driven and transitory rather than structural inflation. - Semiconductor and AI trade rotation: After a massive run in memory stocks (DRAM ETF up 4–8x in a year), Visser exited Micron due to extended valuations and timing risk. Rotating into optical semis (Marvell), some Intel weakness, and away from momentum names. - Portfolio repositioning: Moving from memory/semis into commodities (silver, gold) and crypto. Silver demand expected to spike from solid-state battery adoption; expects precious metals and Bitcoin to move together before summer. - Margin pressure risks: S&P 500 profit margins artificially elevated by seven to ten mega-cap names; if these compress due to input costs or adoption slowdowns, it signals a broader market correction. - Federal spending crisis: Entitlements plus interest expense now consume all government receipts. Debt dynamics make rate hikes untenable; government likely forced toward yield curve control, bullish for Bitcoin long-term.

Dogecoin & Bitcoin Are Both Signaling Something Big? | Jordi Visser

- Stock market concentration risk: Despite new all-time highs, breadth is poor. Only ~50% of stocks are above their 200-day moving average, with as many 52-week new lows as highs. Consumer stocks (McDonald's, Nike, Whirlpool) are near lows, signaling economic weakness ahead. - Inflation regime shift underway: Month-over-month CPI at 0.6% (down from 0.9%) masks the real problem—headline inflation surprise. Import price inflation and PPI both surprised to upside. If 0.5% monthly prints continue, year-over-year inflation could exceed 6%. - Energy market structural tightness: Iran strait blockade is limiting oil supply. Global inventory drawdowns are accelerating. Unlike past crises, countries now lack excess strategic reserves. Any supply disruption (hurricane, conflict escalation) will have outsized impact given depleted buffers. - AI compute and energy demand explosion: Jensen Huang stated energy needs are 1000X larger than current supply. Inference (agent-based AI) officially began in November, creating explosive demand. Hyperscalers are over-ordering semiconductors without sufficient data center capacity to deploy them—a classic bottleneck/shortage cycle. - Dogecoin as retail sentiment indicator: Not a fundamental thesis, but a technical signal for retail re-engagement in crypto. If Dogecoin breaks out alongside Bitcoin (above 200-day moving average) and Ethereum ($2,450), it signals retail is rotating away from AI stocks toward crypto. - Fed rate dynamics locked in uncertainty: Three-month bill yields at 3.69% versus 3.8% year-over-year inflation creates negative real yields. Treasury yields above 5% historically trigger government response. Fed cannot easily raise rates due to debt service costs (~$1.2T annually); debasement may be the only policy option.