Dan Ives Breaks Down Big Tech, AI, and Chip Wars Heading Into 2026

Here's a comprehensive summary of the YouTube video transcript:

Key Concepts

• AI Revolution: The ongoing transformation driven by artificial intelligence, impacting various sectors and leading to significant investment and technological advancements.
• CapEx Super Cycle: A period of substantial capital expenditure by companies, particularly in technology, to build out AI infrastructure and capabilities.
• Mag 7 (Magnificent 7): A group of seven large-cap technology companies (Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta, Tesla) that have historically driven market performance.
• Second, Third, and Fourth Derivatives: Refers to the ripple effects and subsequent innovations or beneficiaries of a primary technological trend like AI, beyond the initial leaders.
• AI Winners: Companies poised to benefit significantly from the AI revolution through innovation, infrastructure, or adoption.
• Energy Constraint: The significant demand for energy required to power AI infrastructure, making energy a critical factor and potential bottleneck.
• Cybersecurity: The increasing importance of protecting digital assets and systems, especially in the context of widespread AI adoption and potential vulnerabilities.
• Circular Financing: A financial strategy where companies within an ecosystem finance each other, often discussed in relation to AI infrastructure development.
• Signal vs. Noise: The ability to discern genuine trends and substantive developments from hype and superficial claims, particularly in the context of AI.
• Geopolitical Tensions: The impact of international relations, trade policies, and potential conflicts on the tech market and global business.
• Proxies: Publicly traded companies that offer indirect exposure to private, high-growth AI companies.

Current Tech Market Landscape and 2025 Predictions

Dan Ives characterizes the current tech market as robust, exceeding initial expectations for the year. He attributes this strength to the AI revolution, specifically its monetization, buildout, and what he terms a "capback super cycle" with an estimated $600 billion in capital expenditures next year. While acknowledging nervousness about a potential "too big to fail" moment or an "AI bubble," Ives maintains a bullish outlook, believing the tech bull market has two more years left. His ETF's performance is cited as evidence of a strong year, but his focus remains on identifying AI winners and staying ahead of the curve.

The "Mag 7" and Shifting Market Dynamics

Contrary to the perception that the "Mag 7" are lagging, Ives views them as leaders of the AI revolution. He notes that while these companies significantly outperformed in previous years, the "second, third, fourth derivatives" are currently driving outperformance in tech this year. He anticipates that the Mag 7 might outperform again next year, but emphasizes that the bull market is spreading to small and mid-cap companies and beyond traditional big tech.

Expanding the "Elite 8" and Identifying Key AI Players

When asked about adding a name to the "Mag 7" to create an "Elite 8," Ives previously suggested AMD. He now includes AMD, Palantir, and Broadcom as crucial players in the AI trade, not just for their market position but for their importance to the AI ecosystem. Beyond these, he highlights software companies like MongoDB and Snowflake, and cybersecurity firms like CrowdStrike and Palo Alto Networks, which form his "Ives AI30" portfolio. He stresses the importance of identifying these "second, third, fourth derivatives" across tech, viewing the current era as a "true fourth industrial revolution."

Under-the-Radar Companies and the Energy Constraint

Ives points to Nvidia (NVDA) as a critical player, and for companies "off the radar" but highly important, he mentions Nemesis (NBIS) and Iron (likely referring to energy infrastructure companies). He identifies energy as the biggest constraint in the AI revolution, explaining why companies like Octa (likely referring to Okta for identity and access management, crucial for securing AI systems) are also important. He reiterates that cybersecurity (naming CrowdStrike, Palo Alto, and Zscaler) will be a major theme for the coming year. He uses the analogy of the AI party being in its early stages, starting at 9 PM and going until 4 AM, acknowledging potential disruptions but preferring to be at the party than observing from the outside.

Infrastructure, Energy, and Financing in the AI Trade

Regarding the "circular financing phenomenon" and infrastructure plays like Blue Owl Capital, Ives is not overly concerned. Drawing parallels to vendor financing in the late 90s, he believes the $3 to $4 trillion to be spent over the next few years necessitates collaborative planning rather than being a red flag. He views the debt taken on by some companies as a natural part of building a new economy, not necessarily a negative given their earnings potential.

Broader Sector Adoption of AI

Ives acknowledges the "non-intuitive AI argument" made by some analysts, citing sectors like healthcare and companies like Walmart as examples of massive enterprise-scale AI adoption. He notes Walmart's move to the NASDAQ as a reflection of its evolving identity as a tech-centric company. He predicts energy and biotech will be two key areas for AI integration. He also mentions human-proof authentication as a core layer and reiterates the importance of cybersecurity, e-commerce, and retail. He maintains that the AI revolution is only in its "third inning."

Separating Signal from Noise Amid AI Hype

Ives emphasizes the difficulty of separating signal from noise, especially when companies excessively reference AI. He uses the DeepSea incident as an example of a narrative that turned out to be largely fabricated, involving stolen Nvidia chips. He stresses the importance of spending time visiting companies to genuinely understand their strategies and separate winners from losers, which he views as his firm's "value add." He cautions against getting caught up in narratives on both the positive and negative sides.

Geopolitical Factors and Market Volatility

The transcript touches upon the "Liberation Day selloff" around April 7th, where the market reached a bear market intraday. Ives suggests the tariff and trade policy uncertainty, particularly concerning US-China relations, was "a lot worse than the bite." He anticipates a "blended tariff" in the low to mid-teens and believes the market has adjusted. He views events like DeepSea, Liberation Day, US-China tensions, and Middle East geopolitical issues as creating opportunities in tech winners, despite the initial fear.

Private AI Companies and Public Market Proxies

Ives identifies Anthropic and OpenAI as two key private AI companies. For investors seeking exposure to these through publicly traded proxies, he suggests Microsoft and Oracle, among others. He believes Anthropic might go public sooner than OpenAI, potentially in late next year or early the following year. He views Palantir as a good barometer for technological potential, alongside larger tech plays like Oracle. He argues that the continued private status of major AI players like OpenAI and Anthropic is a sign against a market bubble.

Conclusion

Dan Ives concludes that the tech market, driven by the AI revolution, has had a robust year, with significant capital expenditures expected. While acknowledging market nervousness and potential disruptions, he maintains a strong bullish outlook for the next two years. He emphasizes the importance of identifying AI winners beyond the "Mag 7," focusing on the "second, third, and fourth derivatives" across various tech sectors, including cybersecurity and energy infrastructure. He stresses the need for diligent analysis to separate genuine AI innovation from hype and believes that geopolitical factors, while creating volatility, have also presented opportunities in the tech space. The AI party, he asserts, is still in its early stages.