Jordi Visser

Capitalize on recent market panics by buying high-conviction semiconductor stocks like Micron Technology ($MU**)** below $900, with a medium-to-long-term price target of $1,500 to $1,600.

Target supply-chain infrastructure leaders like Corning ($GLW**)**, which recently hit its 200-day moving average and secured massive partnerships including a $6 billion deal with Meta.

Focus your investments on major hyperscalers—such as Amazon, Google, and Microsoft—that boast a combined $1.7 trillion backlog driven by insatiable AI compute demand.

Maintain disciplined position sizes and use phased entry strategies, as structural market volatility will remain elevated above historical averages.

Capitalize on structural artificial intelligence demand by ignoring short-term free cash flow dips and buying market leaders in cloud and semiconductor infrastructure. Accumulate shares of Marvell Technology (MRVL) to capture upcoming earnings growth from optical and photonic infrastructure upgrades. Consider a tactical entry in Applied Optoelectronics (AOI) following its recent market correction to benefit from data networking trends. Prepare for mainstream institutional integration by establishing or adding to positions in major cryptocurrencies like Bitcoin (BTC) and Ethereum (ETH) ahead of late-year catalysts. Finally, monitor retail liquidity shifts by tracking sentiment indicators like Dogecoin (DOGE) alongside your core technology and crypto allocations.

Investors should view the current tech volatility as a "speed crash" rather than a bear market, using the 40% correction in momentum to scale into high-conviction semiconductor names. Micron (MU) is a top-tier buy as rising DRAM prices and structural memory shortages drive significant upward earnings revisions. Avoid legacy software providers like Salesforce (CRM) and Adobe (ADBE), as their downward-sloping 200-day moving averages signal they are being disrupted by the shift to AI agents. Ethereum (ETH) represents the purest play on the "agentic" revolution, as AI agents will likely use its smart-contract infrastructure and tokens as native currency. Expect a major breakout for Bitcoin (BTC) and the broader crypto sector in late Q3 or Q4 as global regulatory shifts and institutional adoption provide long-term tailwinds.

Investors should prioritize NVIDIA (NVDA) as a high-conviction entry point, as it is currently trading at its lowest valuation in a decade while holding key technical support. Focus on "scarcity" assets like Micron (MU), SK Hynix, and Samsung (SMSN) to capitalize on persistent global memory shortages expected to last through 2030. Apple (AAPL) and Meta (META) are primary plays for the next wave of growth in consumer AI agents, which is projected to drive a massive 24x increase in data consumption. In the digital asset space, Bitcoin (BTC) remains a "no-brainer" long-term hold as it transitions into the foundational layer for AI-driven commerce and global tokenization. For a tactical retail sentiment indicator, watch for Dogecoin (DOGE) to break above its 200-day moving average to signal the return of broader market participation.

Investors should use current pullbacks to the 50-day moving average as entry points for high-quality AI infrastructure stocks like NVIDIA (NVDA) and Marvell (MRVL). The "easy money" phase has passed for memory leaders like Micron (MU), so focus should shift toward the AI application layer, specifically Healthcare and Insurance companies like Eli Lilly (LLY) and Chubb (CB). Technical indicators suggest a potential bottom for Bitcoin (BTC), making it a high-conviction rotation play alongside Gold and Silver to hedge against U.S. debt debasement. Monitor regional banks via the KRE ticker, as AI-driven automation is expected to trigger a wave of acquisitions and margin improvements within the sector. Despite hawkish market fears, the deflationary impact of AI productivity suggests the Federal Reserve may be less aggressive with rate hikes than currently anticipated.

Investors should rotate away from expensive Mag-7 hyperscalers like Microsoft (MSFT) and Alphabet (GOOGL) toward the "receivers" of AI capital, such as Micron (MU) and Vertiv (VRT). Eli Lilly (LLY) is a high-conviction long-term play, positioned to potentially become the world’s largest company as it leverages AI for drug discovery and dominates the GLP-1 market. While Micron (MU) remains a strategic asset in the AI memory shortage, focus on its transition to subscription-like revenue models rather than expecting rapid 10x gains. Avoid "catching the falling knife" in Bitcoin (BTC) until it clears its 200-day moving average, though you should prepare for a 2025 surge driven by AI agents using crypto for autonomous transactions. For broader exposure, look to Small Caps (IWM) and industrial names like Caterpillar (CAT), which are benefiting from a market rotation that favors infrastructure and domestic growth over high-multiple tech.

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.