Jordi Visser

Focus your portfolio on AI hardware "toll collectors" like NVIDIA (NVDA), Micron (MU), and Marvell (MRVL), which show stronger relative strength than software or big tech. Avoid or underweight hyperscalers like Microsoft (MSFT), Alphabet (GOOGL), and Meta (META), as they face shrinking multiples and massive depreciation costs from their infrastructure spending. Stay sidelined on Bitcoin (BTC) until the price breaks and holds above its 200-day moving average, as capital is currently rotating out of crypto and into AI. Consider exposure to Small Caps (IWM), which are hitting new highs driven by strong earnings growth and attractive valuations on a PEG ratio basis. Monitor the emerging 800-Volt DC Power theme as a critical play for next-generation data center infrastructure required by NVIDIA’s upcoming architectures.

Investors should consider rotating capital out of Magnificent 7 hyperscalers and into Entegris (ENTG) and MKS Instruments (MKSI), which serve as essential "chemical oil" providers for the next generation of semiconductor manufacturing. Eli Lilly (LLY) offers a high-conviction "catch-up" trade as AI accelerates drug discovery and biotech breakthroughs, outperforming a currently stagnant tech sector. Physical commodities like Silver and Copper are critical hedges against AI infrastructure inflation, with silver specifically poised for a "boom" driven by orbital data center demand. While Bitcoin (BTC) remains in a technical bear market below its 200-day moving average, investors should use this period to dollar-cost average in anticipation of AI agents using crypto rails this fall. Avoid high-valuation private AI model makers and instead monitor private secondary markets for SpaceX, which is emerging as a dominant force in global compute infrastructure.

Investors should consider Eli Lilly (LLY) as a primary play on the AI "application layer," with potential to become the largest U.S. company by the end of the decade through its proprietary AI-driven drug discovery. For infrastructure exposure, Marvell Technology (MRVL) offers significant upside in optical networking and custom chips, with some analysts projecting a long-term path toward a $1 trillion market cap. While Bitcoin (BTC) remains in a technical downtrend, long-term investors can "nibble" at current levels near the 200-week moving average to capture its future role as a settlement layer for AI agents. To hedge against geopolitical volatility and energy-intensive data center growth, look toward defensive energy giants ExxonMobil (XOM) and storage specialist Fluence Energy (FLNC). Conversely, it is wise to reduce exposure to memory stocks like Micron (MU), as the trade has become crowded and AI efficiency gains may eventually reduce demand for high-bandwidth memory.

Focus on Eli Lilly (LLY) as a core thematic holding, as its integration of NVIDIA GPUs into drug discovery has led to 55% year-over-year revenue growth and a highly attractive PEG ratio below one. While Dell Technologies (DELL) has seen a parabolic price surge, the move is supported by a 50% increase in earnings guidance, making it a primary play for the physical infrastructure required for AI. Investors should consider rotating out of "hyperscaler" Big Tech stocks and into the "receivers" of their capital expenditure, specifically targeting sectors like Energy, Chemicals, and Power Infrastructure. Exercise caution with Bitcoin (BTC) by avoiding aggressive buys until the price moves back above its 200-day moving average, signaling a break from the current bear trend. Monitor the S&P 500 (SPY) for a breakdown in the 20-day or 50-day moving averages as a signal to reduce exposure, especially if supply chain bottlenecks or rising oil prices (USO) begin to pressure the broader market.

Investors should prioritize using Claude to automate technical analysis by uploading financial data to identify trend changes across thematic baskets like Chemicals, Optical Fibers, and Power/Utilities. To gain a competitive edge, use AI tools to monitor market breadth, specifically watching for a drop in the percentage of stocks above their 20-day moving average as an early warning of a market breakdown. Non-programmers should complete a basic Python course on Coursera to unlock the ability to build custom "Financial Turbulence Models" using Claude Code. For personalized portfolio management, follow Alex Finn to set up OpenClaw, an AI assistant that provides daily briefings tailored to your specific holdings. Focus on "agentic" workflows by using AI to organize unstructured data, such as bank statements and receipts, into actionable financial spreadsheets for tax and estate planning.

Investors should rotate away from AI software "spenders" like Microsoft and Google to focus on the "receivers" of infrastructure spending, specifically in energy, data centers, and physical hardware. High-conviction plays in the "defensive side of AI" include independent power producers like Vistra (VST) and electrical infrastructure leaders like Eaton (ETN) to hedge against semiconductor volatility. Consider taking profits on parabolic memory stocks like Micron (MU) and reallocating into "platform" or interconnect plays such as NVIDIA (NVDA) and Marvell (MRVL). With global oil inventories drawing down, Oil represents a mispriced macro risk that could provide significant upside as inflationary pressures return. Finally, accumulate Bitcoin (BTC), Ethereum (ETH), and Coinbase (COIN) now, as they provide the essential 24/7 payment rails required for the upcoming shift toward autonomous AI agents.

Investors should consider locking in profits on Semiconductors (SMH/SOX) and Micron (MU), as extreme momentum and supply chain bottlenecks in chemicals like Sulphuric Acid suggest a near-term "speed crash" risk. Rotate capital out of traditional Software (IGV), which faces cannibalization by AI, and into Bitcoin (BTC) as it consolidates before its next potential parabolic leg up. Silver (XAG) and Gold (XAU) remain high-conviction "scarcity trades" that offer protection against 1970s-style inflation and persistent wage pressure. Monitor Dogecoin (DOGE) as a key sentiment indicator; a breakout here would signal the return of retail liquidity to the broader crypto market. For long-term AI exposure, shift focus from overextended chip makers to the physical infrastructure layer, specifically companies providing cooling, power semiconductors, and data center energy solutions.

Investors should prioritize NVIDIA (NVDA) as it remains fundamentally "cheap" due to earnings growth outpacing its price, while considering a rotation out of Micron (MU) following recent technical exhaustion. To capture the next phase of the AI build-out, shift capital into power and infrastructure bottlenecks via Vistra (VST), Eaton (ETN), and Sterling Infrastructure (STRL). Silver represents a high-conviction "catch-up" trade, serving as both a critical industrial metal for the electrical grid and a hedge against projected inflation spikes. In the digital asset space, accumulate Bitcoin (BTC) and Ethereum (ETH) ahead of a major expected rollout of tokenized real-world assets in late July. Finally, look toward laggards in the semiconductor supply chain like AMD, Marvell (MRVL), and Soitec (SOI) to benefit from the transition to AI-driven "agentic" market structures.

Investors should prioritize hardware and infrastructure over traditional software, specifically targeting Micron (MU) which is undervalued at a 5x P/E due to critical memory shortages. To capture the "Five-Layer Cake" of AI, look toward specialized chemical providers like Entegris (ENTG) and Chemours (CC), the latter of which has the potential to double this year. Industrial giant Caterpillar (CAT) serves as a high-conviction play on data center power needs, backed by a record $62 billion backlog and a projected tripling of power gen sales by 2030. In the digital asset space, monitor Ethereum (ETH) for two consecutive closes above $2,456 as a definitive breakout signal for a year-end rally. To hedge against rising inflation and power demands, maintain exposure to energy leaders Chevron (CVX) and Exxon (XOM), which are currently lagging behind oil price gains.

Prioritize the "Physical AI" build-out by shifting capital away from traditional software and into high-conviction semiconductor leaders like NVIDIA (NVDA), Broadcom (AVGO), and Micron (MU). Focus on the transition to "Edge AI" and industrial automation by monitoring Texas Instruments (TXN) as a demand barometer and Intel (INTC) for the rising importance of CPU-based inference. Invest in the physical infrastructure required for data centers through industrial proxies like Caterpillar (CAT) and United Rentals (URI), which benefit from the massive electrical grid upgrade. Position for a commodities super-cycle by going long on Copper and Silver, as these materials are essential for power systems and are facing significant supply bottlenecks. Allocate to Bitcoin (BTC) as a primary growth asset and inflation hedge, with technical patterns suggesting a price target between $95,000 and $100,000.

Investors should prioritize NVIDIA (NVDA) as it breaks out toward new highs, driven by a massive compute shortage and a 48% surge in chip pricing. Intel (INTC) represents a high-conviction recovery play as a critical CPU shortage grants the company renewed pricing power and a parabolic technical setup. For infrastructure exposure, rotate away from traditional software and into Oracle (ORCL), which is being re-rated as a vital provider of AI cloud hardware. In the digital asset space, Bitcoin (BTC) and Ethereum (ETH) have triggered weekly buy signals, positioning them as essential hedges against sticky inflation and high interest rates. Finally, use any price dips to accumulate "power trade" stocks like Eaton (ETN), Vertiv (VRT), and Micron (MU) to capitalize on the physical energy and memory bottlenecks stalling AI expansion.

Shift your portfolio from software to the physical infrastructure of AI by going long on hardware leaders like NVIDIA (NVDA), which remains attractively valued at roughly 20x 2027 earnings.

Prioritize Bitcoin (BTC) as a hedge against negative real yields and potential AI-driven cybersecurity vulnerabilities in traditional banking software.

Invest in the "Green Compute" theme by targeting Brazil (EWZ), which offers the renewable energy and geopolitical stability required for massive data center expansion.

Position in industrial commodities, specifically Silver, and physical "picks and shovels" like Corning (GLW) to capitalize on the urgent demand for optical fiber and cooling technology.

Avoid the S&P 500 as a primary benchmark and reduce exposure to traditional software and private credit, as these sectors face disruption from advanced agentic AI models like Anthropic’s Mythos.

Investors should prioritize the shift toward "Agentic AI" by focusing on the physical infrastructure "rack," including GPUs, cooling systems, and power/gas turbines. Look for entry points in Micron (MU) and advanced semiconductor packaging firms during market pullbacks, as high-bandwidth memory demand is projected to remain tight through 2027. Avoid the financial sector and private credit funds like Blue Owl due to rising redemption pressures and systemic risks in insurance-linked credit products. Position in Utilities, Silver, and Energy to capitalize on the massive electricity requirements of data centers and structural inflation hedges. Maintain Bitcoin (BTC) as a core long-term hedge against high Debt-to-GDP levels, especially as major banks move toward asset tokenization by 2026.

Investors should rotate away from high-multiple software stocks like Microsoft (MSFT) and Amazon (AMZN), as AI disruption and rising inflation are expected to compress their valuations. Instead, overweight the "scarcity" sector by building positions in Silver and energy leaders like ExxonMobil (XOM) to hedge against a projected CPI rise to 4-6%. Within the AI space, focus exclusively on hardware and infrastructure providers like Micron (MU) and ASML, specifically targeting entry points during market pullbacks. Avoid private credit funds and firms like Blue Owl or Apollo due to increasing liquidity risks and potential valuation write-downs. Monitor the S&P 500 for a total drawdown of 15% to 25%, using this volatility to transition from "abundance" assets into physical commodities and data center infrastructure.

Investors should shift from a passive strategy to a active trading stance as the S&P 500 (SPY) has broken key technical supports, with a potential downside target of 6,100. To hedge against this volatility and rising inflation, consider tactical Long VIX positions and exposure to the Commodity complex, specifically Silver and Copper. While long-term bullish on Semiconductors and Memory, investors should maintain short-term hedges on the sector due to supply chain disruptions like the helium shortage. Focus AI investments on "agentic" orchestration and infrastructure, specifically highlighting Palantir (PLTR) for its enterprise adoption and the "Whole Rack" data center theme. Avoid broad Financials (XLF) and Private Credit due to hidden valuation risks, while using Bitcoin (BTC) as a long-term decentralization hedge despite potential 20-30% short-term sympathy drops during market panics.

Investors should consider going Long VIX or purchasing volatility protection to hedge against an expected spike in market turbulence and a potential "capitulation day" sell-off. In the technology sector, shift focus from software to hardware by targeting Intel (INTC) and AMD (AMD), as "agentic AI" drives a critical shortage in server CPUs. Avoid Meta Platforms (META) and Airlines due to rising AI research costs and the risk of sustained WTI Oil prices above $90 per barrel. Be cautious with private credit and financial firms like Blue Owl (OWL) and Blackstone (BX), as liquidity squeezes and credit markdowns signal structural weakness. Maintain a long-term position in Bitcoin (BTC) as the primary asset for AI-driven commerce and a hedge against traditional financial system instability.

Avoid "bottom fishing" in the financial sector (XLF) as it trades below its 200-day moving average, signaling a period of deleveraging and potential liquidity traps in private credit funds like CCLFX. Consider a pair trade by going Long Energy/Materials and Short Software, as the valuation gap between these sectors is expected to close amid rising oil prices and a "SaaS is dead" sentiment. Investors should pivot away from traditional seat-based software like Salesforce (CRM) and Workday (WDAY) toward AI-ready infrastructure like Palantir (PLTR) and IT consultants like Accenture (ACN). Maintain long positions in Cybersecurity and Bitcoin (BTC) as non-discretionary hedges against AI-driven threats and structural shifts in traditional growth assets. Prepare for higher volatility by monitoring the VIX for a potential spike toward 50, using it as a signal to hedge existing commodity and semiconductor exposure.

Investors should consider rotating capital out of traditional software ETFs like IGV and high-multiple names like Salesforce (CRM), as AI agents threaten to permanently compress valuations in the SaaS sector. To hedge against a potential "hidden crisis" in software-backed debt, monitor the BKLN Leveraged Loan ETF for signs of credit contagion and rising default rates. Shift exposure toward "physical" assets with guaranteed longevity, specifically targeting Energy, Chemicals, Silver, and Analog Semiconductors. Bitcoin (BTC) remains a high-conviction long-term play as it serves as the essential trust layer and native currency for AI-driven transactions during periods of market volatility. Finally, protect portfolios against a broader market correction by holding Long-term Treasuries and monitoring the KRE Regional Bank ETF for technical breakdowns below its 200-day moving average.

Avoid the software sector, as AI is causing a structural decline in traditional SaaS business models, making indices like IGV a value trap. Instead, focus on the "physical world upgrade" by investing in asset-heavy sectors like Industrials, Materials, Energy, and Utilities, which provide the building blocks for AI infrastructure. Within hardware, the memory chip sector presents a specific opportunity due to a growing supply crisis in NAND flash memory. Consider allocating to Bitcoin (BTC) as a scarce digital asset that is structurally positioned to benefit from the same AI trends disrupting software. Finally, watch NVIDIA (NVDA) as the key market indicator, as a breakdown in its price could signal a broader market correction.

Consider rotating out of the SaaS software sector (IGV), which is viewed as a "value trap" facing significant disruption from Artificial Intelligence. Instead, focus on the "physical world" scarcity theme by investing in companies supplying the AI build-out, such as Chevron (CVX) in energy and Eaton (ETN) in capital goods. Increase your allocation to international stocks (MSCI World ex-US), as this index is breaking out of a 15-year flat period and provides a hedge against US tech concentration. For emerging markets exposure, consider Brazil (EWZ), which is benefiting from rising commodity prices and falling interest rates. Long-term investors should view a potential drop in Bitcoin (BTC) towards the $40,000 level as a strategic buying opportunity.