When Will the AI Bubble Pop? A Deep Dive into the Current Bull Market and the Future of AI Investing

1.Understanding the Current Bull Market: The AI Revolution Is Just Getting Started

The seeds of the current bull market were planted in late 2022 and early 2023, a period marked by Nvidia’s historic earnings report that underscored the growing dominance of AI in enterprise technology. The market's upward trajectory has been intertwined with the rise of AI initiatives, with a few notable detours along the way, such as tariff scares and geopolitical tensions, which have introduced volatility but not derailed the overall trend.

Joe Fahmy, a portfolio manager with over a century of combined trading and research experience, emphasizes the importance of zooming out to see the bigger picture. He situates the current market rally within the context of past transformative bull markets that were driven by revolutionary inventions and innovations-railroads, airlines, television, PCs, the internet, and drug discoveries. AI, he argues, is the latest and possibly the greatest innovation, poised to increase productivity and reshape industries for years to come.

“This is going to go on for a while,” Fahmy notes, comparing the current AI-driven market to the internet boom of 1995 to 1999. However, he stresses that investors should expect corrections, shakeouts, and pullbacks along the way, underscoring that markets rarely move in a straight line upward.

AI as an Enterprise Technology Powering Growth

While AI has captured public imagination through consumer-facing applications like ChatGPT-which notably reached 100 million users faster than any other app-the real money-making potential lies in AI as an enterprise technology. Fahmy highlights that the investments in AI infrastructure, cloud computing, data centers, and middleware are massive and ongoing, pointing to a sustained growth cycle rather than a short-lived bubble.

Shay Boloor echoes this sentiment, describing AI as not just a product but a characteristic that will permeate every industry. He sees the current phase as the “first stage” of AI adoption, dominated by hardware and infrastructure providers like Nvidia, but predicts a “second stage” where companies building on top of this AI foundation-like Palantir-will experience explosive growth. These companies are beginning to demonstrate how AI can disrupt multiple industries, making them attractive long-term investment opportunities.

2.Valuing AI and Growth Companies: Beyond Traditional Metrics

One of the biggest challenges for investors today is how to value companies in the AI space, where traditional metrics like price-to-earnings (P/E) ratios often fail to capture the potential for explosive growth and transformative impact. Both Fahmy and Boloor agree that while fundamentals remain important, investors need to adapt their frameworks to account for the unique characteristics of AI-driven businesses.

The Rule of 40: Balancing Growth and Profitability

Boloor advocates for the “Rule of 40,” a metric combining revenue growth and adjusted free cash flow margins. Achieving a score above 40 is difficult and indicates a company with a sustainable competitive advantage, strong growth, and solid profitability. Palantir, for example, recently scored above 80, an exceptional feat that signals its strong moat and growth potential.

Technical Analysis and Institutional Activity

Fahmy leans heavily on technical analysis and tracking institutional activity, such as large option trades, to gauge market sentiment and potential inflection points. He points out that many large investors use options to build positions discreetly, which can provide early signals about where smart money is flowing. Stocks like Amazon, Nvidia, Tesla, and Palantir have seen significant institutional call buying, suggesting confidence in their long-term prospects.

The Need for Adaptability in Valuation

Investors are reminded that valuation metrics are not static. As Jeremy Grantham highlighted in his 2017 quarterly letter, the average P/E ratio of the S&P 500 shifted from around 14 pre-1997 to 24 in the decades following, driven largely by improved profit margins and technology-enabled efficiency gains. Investors must be willing to evolve their valuation standards to reflect new economic realities, especially in a market powered by revolutionary technologies like AI.

3.The Market on a Technical Basis: Signals and Volatility

The current market environment is characterized by strong technical signals supporting a bullish outlook, even amid volatility and geopolitical noise. Fahmy points to the “Zweig Breadth Thrust,” a rare technical indicator that has historically signaled market bottoms with remarkable accuracy. This indicator triggered in late April 2023, coinciding with a significant market low, and was followed by a 26% increase in the S&P 500 over the subsequent 59 trading days.

Sector rotation is another hallmark of a healthy bull market. Rather than universal buying or selling, investors are rotating capital among sectors, which often leads to short-term underperformance in some stocks but overall market strength. This dynamic is evident in recent market behavior, where equal-weight indexes and small caps have outperformed during periods when mega-cap growth stocks were consolidating.

Expecting Corrections but Staying Bullish

Both Fahmy and Boloor emphasize that corrections and pullbacks are inevitable in any bull market, particularly one driven by high-growth sectors like AI. The key is not to be shaken out by short-term volatility but to maintain a long-term perspective focused on structural growth drivers. They caution against overreacting to headlines about geopolitical events or regulatory concerns, as the underlying market momentum remains strong.

4.Growth vs. Value: The Ongoing Battle

In 2023, growth stocks have outperformed value stocks by a wide margin, marking the strongest growth dominance since the mid-1990s. This trend aligns with the surge in AI and technology-related investments, as innovation themes tend to drive growth stocks higher during bull markets.

Fahmy explains that this era is unique, with multiple supercycles occurring simultaneously-AI, quantum computing, robotics, electrification-creating a “golden era of innovation.” In such an environment, the potential rewards for identifying early disruptors are enormous, even if many companies ultimately fail. The winners, however, can deliver life-changing returns.

5.The Fate of the Mag 7: Who’s Leading and Who’s Falling Behind?

The so-called “Mag 7” tech giants-Apple, Microsoft, Nvidia, Meta, Amazon, Tesla, and Google-continue to dominate market headlines, but not all are equally positioned for future growth.

Apple: A Dinosaur in the Age of AI?

Apple’s prospects: the company is no longer a growth stock. Despite its massive installed base of over 2.4 billion devices, Apple has struggled to innovate meaningfully in AI and is seen as a “financial engineering” company focused on stock buybacks rather than transformative product development.

Talent migration is a major concern, with top AI minds gravitating towards companies like OpenAI, XAI, and Meta rather than Apple. Boloor speculates about a potential splashy acquisition or merger to revitalize Apple’s product focus, but for now, he advises growth investors to look elsewhere.

Nvidia, Microsoft, and Meta: The Current Winners

These three companies are leading the charge in AI investment and innovation. Nvidia’s GPUs remain the backbone of AI training and inference, Microsoft’s massive investment in OpenAI and cloud infrastructure is a strategic advantage, and Meta is aggressively building its AI capabilities despite recent setbacks.

Their relative performance in 2023 reflects this leadership, with strong stock price gains and robust capital expenditure on AI R&D, signaling confidence in long-term growth.

Tesla: The Bull Case for Physical AI

Tesla’s narrative is evolving beyond being just a car company. Fahmy and Boloor highlight Tesla’s pioneering work in robotics and autonomy as positioning it to lead in “physical AI,” the automation of real-world tasks through robots and autonomous vehicles.

While timing remains uncertain and heavily dependent on Elon Musk’s ambitious timelines, the potential for Tesla’s humanoid robots and autonomous driving technology to disrupt multiple industries is enormous. The company’s valuation does not yet fully reflect this future growth potential, making it an intriguing opportunity for growth investors.

6.Emerging Contenders and The Future Winners of AI

Beyond the Mag 7, several companies are poised to become the next generation of AI leaders. Palantir stands out as a key “second stage” winner, providing the software layer that enables enterprises to operationalize large language models (LLMs) and AI-driven decision-making.

Other promising sectors include:

• Data Infrastructure: Companies like Broadcom and Micron are critical for handling the explosion of AI-related data and networking needs.
• Enterprise Software: ServiceNow and Oracle are capitalizing on AI-driven efficiencies in IT management and data governance.
• New Age Defense: Firms like Palantir and CrowdStrike benefit from geopolitical tensions and the increasing importance of cybersecurity and digital battlefields.
• Electric Vertical Takeoff and Landing Vehicles (eVTOLs): Companies like Archer Aviation and Joby Aviation are pioneering urban air mobility with potential military and commercial applications.
• Space Logistics: Rocket Lab is emerging as a key player in satellite launches and space infrastructure, rivaling SpaceX in potential.

While some of these companies are highly speculative and face significant risks, they represent the frontier of innovation where outsized returns may be found.

Beware of Overhyped Names

Not all companies benefiting from AI hype will succeed. Fahmy cautions about firms like Corave, which, despite impressive sales growth, may be overcapitalizing on current supply-demand imbalances and have concentrated customer bases and supplier dependencies that introduce risk.

Investors should carefully assess fundamentals, competitive moats, and business models rather than blindly chasing momentum.

7.Managing Risk and Looking Ahead: Preparing for the Next Phase

While the AI bull market has significant runway ahead, investors must remain vigilant and adaptable. They advocate for active risk management, including:

• Dollar-Cost Averaging (DCA): Buying incrementally, especially during market pullbacks.
• Taking Partial Profits: Locking in gains during rallies to manage exposure.
• Monitoring Market Sentiment and Technical Indicators: Paying attention to signs of market exhaustion or excessive speculative behavior.

The potential for bubbles and corrections is inherent in any revolutionary technology cycle. However, unlike previous cycles, the deep pockets of hyperscale tech giants like Amazon, Microsoft, and Meta provide a stabilizing force through sustained R&D spending and strategic investments.

What Will Signal the End of This Bull Market?

Fahmy highlights that the end of the bull market will be marked by a change in market character: declining earnings, distribution of shares by institutions, and a loss of investor confidence. However, given the multiple derivatives of AI-including enterprise AI, physical AI, and agentic AI-the transition may not be abrupt but rather a series of phases where new pockets of opportunity emerge.

Investors should stay tuned to these shifts and be ready to adapt their portfolios accordingly.

8.Conclusion: Embracing the AI Era with Eyes Wide Open

The AI revolution is reshaping the investment landscape, offering unprecedented opportunities and challenges. The current bull market, powered by AI innovation, is still in its early stages, with transformative impacts expected to unfold over the next several years.

Investors who understand the nuances of this market-recognizing the importance of enterprise AI, the rise of new winners beyond the Mag 7, and the need for flexible valuation frameworks-are best positioned to capitalize on this historic moment.

At the same time, prudent risk management, a long-term perspective, and a willingness to adapt to changing market dynamics are essential to navigate the inevitable corrections and volatility ahead.

As Joe Fahmy eloquently puts it, “Don’t lose track of the bigger picture.” The AI-driven bull market is a marathon, not a sprint, and those who keep their eyes on the horizon while managing the day-to-day will likely reap the rewards of this exciting new era.