Cathie Wood

Wood states Bitcoin is in a "bottoming out phase" and that a ~50% drawdown would be considered a "real victory" compared to historical 85-95% collapses, calling it a "proven technology" and "proven monetary system." The "institutionalization" of Bitcoin is creating an asset class with low correlation to others, making it more resilient. She notes research into quantum-resistant wallets mitigates a key perceived risk. LONG based on the view that the worst of the "crypto winter" is over and the asset is transitioning to a more mature, institutional phase. Regulatory shifts, failure of institutional adoption to materialize, and quantum computing threats.

The convergence of AI, robotics, and energy storage technologies will create compounding S-curves, leading to superexponential growth for companies in these fields.

1. FACT: Wood explicitly names Palantir as the "poster child" for Platform-as-a-Service (PaaS), noting that incremental tech growth is moving toward infrastructure and platforms rather than applications. 2. BRIDGE: Traditional Software-as-a-Service (SaaS) offers rigid, one-size-fits-all solutions. PaaS providers like Palantir allow for customized software integration, directly capturing market share and IT budgets away from legacy SaaS vendors. 3. VERDICT: LONG. Palantir is positioned to be the primary beneficiary of the structural shift in enterprise tech spending from application layers to customizable AI platform layers. 4. KEY RISK: High valuation multiples could compress if enterprise AI adoption slows or if PaaS implementation cycles prove longer than expected.

DASH is positioned to leverage AI to fundamentally improve its business model, which will drive significant revenue and earnings growth over time.

Smart contract blockchains, particularly Ethereum, will be the foundation of the next-generation financial system. As financial assets and services move on-chain, Ethereum is where most assets reside today, and new corporate blockchains like those from Circle are also emerging, enabling the removal of traditional intermediaries and lower costs.

AI inference will drive CPU demand, and the CPU-to-GPU ratio is expected to move from 4:1 to 1:1, benefiting legacy chipmakers like AMD, Intel, and Flex (formerly Flextronics).

AI inference will drive CPU demand, and the CPU-to-GPU ratio is expected to move from 4:1 to 1:1, benefiting legacy chipmakers like AMD, Intel, and Flex (formerly Flextronics).

AI inference will drive CPU demand, and the CPU-to-GPU ratio is expected to move from 4:1 to 1:1, benefiting legacy chipmakers like AMD, Intel, and Flex (formerly Flextronics).

Accumulate shares as the company successfully transitions to the commercial stage with revenue from approved blood disorder cures while expanding into massive total addressable markets like cardiovascular disease.

Wood discusses the AI-driven productivity boom and exploding revenue at frontier AI model providers (Anthropic, OpenAI), and explicitly references NVIDIA's CEO forecasting $1 trillion in sales through 2027. She directly links this explosive AI growth to the need for underlying infrastructure, stating that incremental tech growth is moving towards "infrastructure, so data centers and chips." Strongly infers continued demand for NVIDIA's chips as the foundational infrastructure for the AI revolution she describes. AI adoption slowdown; competitive pressures; geopolitical supply chain disruption.

Wood states that investors are using the market setback to buy technology-oriented themes, noting inflows into ARK's ETFs, and draws a parallel to April 2023, calling it a "bull market" climbing a "wall of worry." She believes the market is discounting a temporary geopolitical shock and that the long-term productivity and growth story for technology, particularly AI, remains intact and compelling. Implied bullish view on the technology sector as a whole, presenting a near-term buying opportunity amidst conflict-driven volatility. Protracted war causing a sustained risk-off environment and higher rates that pressure tech valuations.

AI is a deflationary technology that will unlock a major productivity cycle, boosting real GDP and creating significant upside for innovation-focused companies.