Recent pullbacks in AI leaders like Nvidia (NVDA) and Microsoft (MSFT) are considered buying opportunities within a long-term trend that could last another two years. Google (GOOGL) is seen as a primary AI beneficiary, with its Gemini model potentially creating a more profitable business than its current search dominance. For a smaller-cap AI play, consider Taboola (TBLA), a profitable company using aggressive share buybacks to capitalize on advertising for the open web. Exercise caution with Oracle (ORCL), a high-risk bet on its OpenAI contract, and MicroStrategy (MSTR), a leveraged play on Bitcoin that faces significant risk if BTC remains below its $75,000 average cost. For direct crypto exposure, analysts recommend holding foundational assets like Bitcoin (BTC) and Ethereum (ETH) for the long term.

Artificial Intelligence (AI) as an Investment Theme

• Dan Ives of Wedbush Securities is extremely bullish on the AI theme, calling it a "fourth industrial revolution." He believes we are in year three of an eight to 10-year build-out and that the tech bull market has at least two more years to run.
• The discussion highlights a recent pullback in major AI stocks like Nvidia, Microsoft, and Broadcom (down 15-23% from recent highs), suggesting some market fatigue or valuation concerns. However, Ives sees this as a temporary phase in a long-term trend.
• A key "prove-it moment" for the sector is expected in 2026, which will be all about the monetization of AI. This year is also flagged for major developments in autonomous driving and robotics, particularly from Tesla.
• The speakers note that while there is a bubble in some parts of AI (companies with high valuations but no clear path to profitability), the overall theme is real and transformative. The "party hasn't even started" from a monetization and application perspective.

Takeaways

• Investors should view the AI revolution as a long-term trend, not a short-term trade. Pullbacks in major AI stocks could be buying opportunities for those with a multi-year time horizon.
• Focus on companies that are not just talking about AI but are actively spending on it (hyperscalers) or enabling it (Nvidia, Micron).
• Keep an eye on 2026 as a pivotal year where companies will need to demonstrate real revenue and profits from their AI investments.

Google (GOOGL)

• Despite early fears that AI chatbots would be an "existential crisis" for Google's search business, the sentiment has shifted dramatically.
• The launch of ChatGPT is seen as the "best thing that happened to Google" because it forced the company to innovate and release its own powerful model, Gemini.
• Taboola's CEO, Adam Singolda, is exceptionally bullish, predicting Google could become the first $10 trillion company.
• The investment thesis is that the revenue per user (ARPU) from conversational AI in Gemini will be significantly higher than traditional search. Even if Google loses 20-30% of its search queries, the upside from Gemini could be massive.
• Google is expected to not only succeed with its own AI but also provide the advertising infrastructure for many other LLMs, further cementing its dominance.

Takeaways

• The market may be underestimating Google's ability to monetize AI. The narrative has shifted from Google being a victim of AI disruption to being a primary beneficiary.
• Investors should look beyond the traditional search business and evaluate the potential of Gemini to create a new, more profitable advertising paradigm.
• Singolda's $10 trillion valuation call, while very optimistic, highlights the scale of the opportunity that some industry insiders see for Google in the AI era.

Oracle (ORCL)

• Oracle is a controversial AI play. The company has a massive $470 billion in remaining performance obligations (RPO), largely driven by a reported $300 billion contract with OpenAI.
• This has created a significant debate around risk. Unlike hyperscalers like Microsoft and Google that fund their AI build-outs with free cash flow, Oracle is taking on debt to fulfill these contracts.
• Alarm bells were mentioned, with the stock falling and its credit default swaps (CDS) rising, indicating that the market sees increasing risk in its strategy. The company also reported negative cash flow for the first time since 1992.
• The bull case (Ives) is that the potential reward from securing this massive revenue stream is worth the risk. The bear case (Nathan) is that the plan is dependent on OpenAI's financial stability, which is questioned, and Oracle's balance sheet is being stretched thin.

Takeaways

• Investing in Oracle is a high-risk, high-reward bet on its ability to successfully execute its massive data center build-out for OpenAI.
• Investors should closely monitor Oracle's debt levels, cash flow, and the performance of its credit default swaps (CDS) as indicators of financial health.
• The stock's performance is heavily tied to the market's confidence in OpenAI's ability to generate revenue and fund its ambitious plans. Any negative news about OpenAI could directly impact Oracle.

Apple (AAPL)

• Dan Ives is a big bull on Apple, believing 2026 will be a "huge year" for the company as it finally unveils its comprehensive AI strategy.
• Apple has recently outperformed other tech giants, partly because it has not yet spent hundreds of billions on an AI build-out, which has protected its margins. The flip side is that it currently lacks a major AI product.
• It is suggested that Google will be a key partner in Apple's future AI strategy.

Takeaways

• Apple is currently a more conservative way to get exposure to big tech, as it has not yet taken on the massive capital expenditures of its peers.
• The stock's future performance hinges on its ability to deliver a compelling AI product and strategy. 2026 is the year to watch for this catalyst.
• The potential partnership with Google for AI could be a significant driver for both companies.

MicroStrategy (MSTR)

• The company's strategy of issuing debt and equity to buy Bitcoin is facing skepticism from the market.
• The stock is reportedly trading at a discount to the value of its Bitcoin holdings, a sign the market is "calling bullshit on his whole strategy."
• A major risk was highlighted: the company's average purchase price for its Bitcoin is around $75,000. If the price of Bitcoin remains below this level, there is a risk the company could be forced to sell its holdings to service its debt, potentially creating an "FTX moment" that could negatively impact the broader crypto market.
• Dan Ives, a self-proclaimed crypto bull, disagrees with this bearish take, expressing his belief in the strategy.

Takeaways

• MicroStrategy is a leveraged bet on the price of Bitcoin. Its stock performance is more tied to crypto sentiment than its underlying software business.
• Investors should be aware of the significant risk associated with the company's debt and its high average cost basis for Bitcoin. A sustained downturn in crypto could put severe pressure on the company.
• Owning MSTR is not the same as owning Bitcoin directly; it comes with additional corporate and leverage-related risks.

Taboola (TBLA)

• Taboola positions itself as the advertising and engagement engine for the "open web"—the part of the internet outside of Google and Meta's "walled gardens."
• The company has launched its own LLM service, Deeper Dive, to provide conversational AI experiences for publishers, aiming to be the "open web LLM."
• Financially, the company is profitable, generates strong free cash flow, and is using that cash to aggressively buy back its own stock. It has repurchased 14% of the company year-to-date.
• The CEO sees a massive opportunity in performance advertising on the open web, estimating a $55 billion total addressable market, of which Taboola currently has a small share.

Takeaways

• Taboola offers a way to invest in the monetization of AI beyond the mega-cap tech companies.
• Its focus on the "open web" provides diversification away from the dominant platforms like Google and Meta.
• The company's profitability and aggressive share buyback program are strong positive signals for investors, demonstrating management's confidence in the business.

Cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), WorldCoin (WLD)

• Bitcoin (BTC) & Ethereum (ETH): Dan Ives stated he is a "core believer" in both assets as foundational plays in the digital economy. The discussion frames them as key assets for companies building in the Web3 space.
• WorldCoin (WLD): This crypto is linked to the 8co (ORBS) company, where Dan Ives is chairman. The thesis is that WorldCoin's orb-based retina scanning technology will become a critical layer for verification and authentication in the age of AI.
  • 8co is positioned as the enterprise arm to bring this technology to businesses, with pilot programs already underway with crypto exchanges Kraken and Coinbase.

Takeaways

• The podcast presents a bullish long-term case for foundational cryptocurrencies BTC and ETH.
• WorldCoin (WLD) is presented as a specific utility play on the need for human verification in an AI-driven world. An investment in 8co (ORBS) is framed as an enterprise-focused way to get exposure to this theme.
• Investors interested in this space should understand the difference between investing in the assets directly (like BTC or ETH) versus investing in companies that use or build on top of them (like MSTR or 8co).