Jordi Visser

Why Bitcoin Wins No Matter What The Fed Does | Jordi Visser

- AI's exponential progress is rewriting macro frameworks: Visser argues earnings growth (30%+ annually) and AI's rapid deployment make traditional rate and oil sensitivity obsolete for valuing markets. - Static vs. dynamic thinking separates investors: Those clinging to textbook scenarios (tariffs → inflation, rising rates → stocks fall) miss how technology, alternative energy, and AI fundamentally alter cause-and-effect chains. - Robinhood Chain represents tokenization's arrival: Through Ethereum and Arbitrum infrastructure, meme coin volumes are leading an early phase of real tokenization that will eventually encompass pension fund and institutional capital. - Clarity Act could unlock $100K+ Bitcoin rally: Regulatory clarity on crypto would enable pension funds and traditional finance to enter, dramatically expanding addressable liquidity in the ecosystem. - Trump-Bessent-Warsh alignment signals pro-AI, pro-crypto White House: All three back AI dominance over China and favor crypto; betting against that thesis means betting against the administration's stated priorities. - Eight trillion in non-earning assets ($2T each: Bitcoin, OpenAI, SpaceX, Anthropic) signal asymmetric upside: Terminal value frameworks are shifting from quarterly earnings to trust, velocity of capital flow, and network effects powered by AI agents.

Bitcoin Is Entering Its Most Powerful Wave Ever | Jordi Visser

- Rising interest rates may not derail the AI-driven economy because frontier AI companies (OpenAI, Anthropic) have massive margins (~70%) largely insensitive to rate changes, even a 200 basis point increase barely moves them. - Bitcoin's path to $100,000 requires breaking technical resistance at $82,000, though Visser emphasizes skepticism and community doubt signal a potential third Elliott Wave—the most powerful wave in a crypto cycle. - AI agents are reshaping markets and business management: they operate 24/7, never sleep, and can be deployed at massive scale (billions per year), fundamentally changing productivity and market structure. - Tokenization and programmable assets will democratize access to high-risk, high-return opportunities currently available only to large institutions, enabling AI agents to allocate capital efficiently across thousands of uncorrelated strategies. - Managing AI agents mirrors managing people: clear prompts and delegation work better than vague directions, and using multiple AI models (ChatGPT, Claude, Gemini, Grok) teaches critical thinking and reduces cognitive bias. - Portfolio allocation should never be 0% crypto; a diversified investor must assign *some* probability to crypto's financial impact, especially as agents require fast, cross-border settlement that legacy systems cannot provide.

Bitcoin to $1 Million?! | Jordi Visser

- Bitcoin's consolidation at $82,000 with $74,000 as key support; 200-day moving average now pointing upward across Bitcoin and Ethereum, historically a bullish signal. - South Korean retail capital rotating back into crypto after months focused on AI stocks, contributing to Bitcoin strength at market opens. - Kevin Warsh's Fed speech offered little new information on rate policy; Scott Bessent continues jawboning to suppress long-term yields, suggesting coordinated efforts between administration and Treasury. - AI agents represent the next major innovation wave; tokenization, stablecoins, and on-chain payment rails will become essential infrastructure as agents conduct transactions. - NVIDIA's $1 billion daily revenue and 70% guidance for next year shows continued dominance, yet stock is only up 25% over one year—opportunity cost favors crypto relative to mega-cap tech.

Bitcoin Just Had Its Biggest Week In History | Jordi Visser

- Bitcoin surged 22–23% over a single week (a seven sigma move), driven by Treasury intervention in the yen, quarterly refunding changes, and debt buyback announcements; this mirrors prior five-sigma moves that preceded major rallies. - The convergence of AI and Bitcoin positions Bitcoin as the **purest AI trade** because it benefits from abundance and hyper-competition without suffering the multiple compression that will hit tech companies. - Multiple compression across equities signals market concern about future competition and terminal value; even "cheap" stocks like Micron face AI-driven disruption that makes traditional valuation frameworks unreliable. - Stripe's $7–8 billion acquisition of OpenRouter and Ramp's launch of router.com represent a battle for control over model-routing infrastructure—a critical chokepoint for cost-efficient AI deployment in startups. - Portfolio sizing for Bitcoin should be risk-adjusted and personal, but younger investors and those hedging abundance should consider substantially larger allocations than the traditional 1–2% suggestion. - Moderna's cancer vaccine breakthrough illustrates how AI accelerates pharma innovation; biotech and healthcare are poised to be major AI application winners despite rate sensitivity.

Bitcoin Wins By Simply Not Playing The Time Game | Jordi Visser

- AI stocks have rebounded strongly off recent lows, with the Nasdaq 100 up 70% year-to-date despite a sharp drawdown; Jordy emphasizes this reflects earnings growth outpacing S&P valuation growth, not a market "bottom call." - Figure Technologies is growing revenue at over 100% year-over-year and EBITDA at 50%+ (a "rule of 150"), driven by removing friction from loan origination and settlement via blockchain technology and AI automation. - Tokenization and AI agents will accelerate transaction velocity, allowing real estate closings and financial operations to move from 30-60 days to minutes, fundamentally reshaping GDP and deflationary dynamics. - Bitcoin is positioned as a **time-independent asset** that will not suffer from the exponential acceleration of AI and business cycles; Jordy calls it "the S&P 500 of ten years from now." - Legacy banks like JPMorgan face structural headwinds because they operate at "human speed" and carry bureaucratic overhead; AI-native and crypto-native firms (Figure, Robinhood, PayPal, Coinbase) will outgrow them. - Large language model companies (Anthropic, OpenAI) face deceleration risk once growth plateaus; the real value lies in specialized, open-source models and AI agents integrated into business operations, not frontier models alone.

Bitcoin Is About to Explode — The Fed Just Ran Out of Tools | Jordi Visser

- US-Japan yen intervention (first since 1998) signals policy desperation; weakening labor market and falling wages suggest the Fed has limited options and may need to reflate the economy - AI stock sell-off appears to be a capitulation low; Visser expects new all-time highs by year-end as fundamental earnings growth continues and deleveraging concludes - Physical AI and re-industrialization: Hadrian ($8B valuation) and Tesla's TerraFab (100M+ sq ft facility) represent the shift toward embodied, physical intelligence requiring massive compute capacity - Memory demand growing 200% annually versus 20% capacity growth—a critical supply-demand imbalance driving future semiconductor and infrastructure valuations - Frontier models (OpenAI, Anthropic) will concentrate in enterprise and government use; smaller AI-native startups will thrive on open-source and specialized workflows - Talent exodus from large tech firms (Google: Jeff Dean, Demis Hassabis) reflects the gold rush to build AI agents rather than defending legacy company moats

Bitcoin Is The Best Hedge Fund That's Ever Existed | Jordi Visser

- Leopold Aschenbrenner's hedge fund unwind serves as a cleansing event in leveraged markets; leverage crowding, mid-cycle AI slowdown, and forced portfolio liquidations mirror past blowups (LTCM, 2007 quant unwind, Archegos), signaling structural market changes driven by AI acceleration and faster decision-making cycles. - AI compute scarcity remains the binding constraint; despite claims of overbuild, hyperscalers (Amazon, Microsoft, Google) have $2 trillion in contracted backlog, and key builders (Sam Altman, Dario Amodei) admit underestimating demand. Supply will lag demand for years as inference on personal devices and enterprise agents scale. - South Korean and Japanese market crashes (Korea down 45% in 40 days, Japan down ~3% in one day) reflect rapid leverage unwinding and retail margin calls, amplified by AI-driven trading speed; Korean market still up 56% YTD despite correction, showing speculative positioning in chip stocks. - Kevin Warsh and the Fed chose patience over rate hikes; market volatility will increase with no forward guidance. De-leveraging via tokenization and AI agents will reshape monetary policy; smaller leverage in the system ahead as structural change takes hold. - Tokenization and AI agents will redistribute the $700 trillion global household net worth, favoring AI-native small businesses with high margins and low headcount. Bitcoin and gold remain the only defensive stores of value as deflationary AI pressures intensify over five years. - Digital money, crypto rails, and border breakdown allow people to build globally without geographic constraints; migration patterns and remittance flows will accelerate as financial infrastructure becomes permissionless and AI agents enable borderless business formation.

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.

#520: Jordi Visser on Allocating Billions of Dollars Today

- Macroeconomic changes since COVID-19: unprecedented direct cash transfers to consumers alongside low rates have fundamentally altered spending behavior and market dynamics. - Inflation outlook: expect headline inflation to peak at 5.5–6% by end of summer 2021, driven by supply-chain disruption (trade war + COVID), underinvestment in commodities, and excess consumer demand; core inflation likely reaches 3% before technology moderates prices within 3–4 years. - Generational wealth shift and market structure: millennials becoming dominant demographic and inheriting ~$70 trillion over 30 years, favoring smaller-cap and micro-cap securities over mega-cap tech; Reddit and retail investors reshaping market microstructure. - Bitcoin as emerging store of value: Bitcoin is displacing gold as a hedge asset for sub-50 demographic; acts as both a technology and medium of exchange; benefits from government money-printing and asset inflation. - Portfolio positioning: favor small/micro caps, biotech (longevity), 3D printing (localization post-trade war), avoid short positions in small caps; avoid traditional bonds given historically low yields globally. - Behavioral and analytical discipline: use technology, data, and diverse teams to identify biases; prioritize fast portfolio turnover to exploit market dispersion and volatility rather than long-term passive holding.