The AI gold rush is real — but great companies don’t need to mine it

The AI Investment Boom: An Overview

Artificial intelligence (AI) has surged to the forefront of investment discussions. The technology is not just a buzzword; it is a revolutionary force reshaping industries and altering how capital flows. By 2025, AI and machine learning accounted for nearly two-thirds of all venture capital investments in the United States, a remarkable increase from just 10% a decade earlier. This shift signifies more than just a trend; it points to a fundamental transformation in how businesses operate and compete.

AI is proving to be a game-changer, influencing productivity, cost structures, and competitive dynamics across various sectors. Companies enabling or benefiting from AI advancements are emerging as potential leaders in the public markets, with several poised to become category-defining entities in the coming decade.

The Central Question for Investors

The heightened focus on AI raises an important question for investors: Must a company be an AI-centric business to be considered great? The public markets provide a clear answer: many of the world's most successful companies do not directly engage in AI. Instead, their triumphs stem from durable competitive advantages, sound unit economics, disciplined execution, and a proven ability to thrive across economic cycles.

#### Understanding Market Discrepancies

In the private market, however, distinctions in investment opportunities are less clear-cut. As AI gains attention, the dispersion in valuations has significantly widened. Companies perceived as AI leaders can effortlessly raise multiple funding rounds at increasingly high valuations, creating a feedback loop that concentrates capital around these businesses. Conversely, high-quality non-AI firms often struggle to attract investor interest despite possessing robust fundamentals and expansive addressable markets, simply because they lack an explicit AI narrative.

The Dual Nature of Opportunity and Risk

This dichotomy creates both risk and opportunity for disciplined investors. The key is not to dismiss AI outright—rather, investors should evaluate opportunities in AI-focused companies where valuations align with long-term growth assumptions. Equally important is to consider non-AI companies with strong fundamentals that may benefit from the current market dynamics.

#### Historical Context: Learning from Past Waves

This phenomenon is not new. Historical periods of technological transformation often coincide with capital over-concentration in favored themes, resulting in valuation compression for businesses not directly tied to these technologies. As a result, investors may find themselves at a crossroads: should they chase the latest tech trend, or focus on solid business fundamentals?

The lesson here is not that transformative technologies fail to create value. Instead, it emphasizes that technology alone cannot guarantee success. AI adoption is progressing at an unprecedented pace, and we are still at the early stages of this cycle. Some potential leaders may not even exist yet, while established players may face increased competition, commoditization, or changing market dynamics over time.

The Importance of Selectivity in Investment Strategy

In this rapidly changing landscape, selectivity becomes paramount. Long-term investors should not aim to construct an "AI portfolio" or a "non-AI portfolio." Instead, the goal should be to allocate capital where fundamentals, valuation, and durability intersect. This approach requires careful consideration of the associated risks and rewards in each investment opportunity.

#### Evaluating AI Investments

Investors should be open to exploring derisked AI businesses, where existing valuations are justified by long-term expectations. However, it is equally critical to recognize that many of tomorrow's successful public companies will likely emerge from sectors and business models that currently attract less attention.

#### Broader Implications for the Market

As AI continues to reshape the investment landscape, understanding the complete picture becomes essential. Great companies have always been defined by more than the latest technological wave. They thrive on a foundation of strong business principles, innovative strategies, and resilience in the face of changing market conditions.

#### Real-World Examples: The Case of Non-AI Giants

To illustrate this point, we can look at several high-performing companies that are not AI-centric but have thrived due to their underlying business models. For instance, Procter & Gamble (P&G), a consumer goods giant, focuses on branding, distribution, and customer loyalty rather than being tied to a single technology narrative.

Similarly, Coca-Cola has built its empire on a deep understanding of consumer behavior and marketing prowess, rather than on any specific technology. These companies demonstrate that while technology can enhance operations, it is not the sole determinant of success.

Conclusion: Navigating the Future of Investments

As we move deeper into the AI era, investors must remain vigilant. The conversation around AI will undoubtedly continue to dominate headlines, but understanding its broader implications is essential for making informed investment decisions.

The path forward lies not in chasing trends but in a balanced approach that considers both the potential of AI and the enduring value of companies that may not fit the current narrative. By focusing on robust fundamentals and being selective in capital allocation, investors can navigate the complexities of the evolving market landscape.

In conclusion, while AI is undoubtedly a transformative force, it is essential to remember that great companies have always been built on more than just technology. As the investment landscape evolves, a focus on the foundational principles of business will remain the key to long-term success.

Source: https://fortune.com/2026/04/04/in-ai-dominated-market-fundamentals-still-matter-wellington-management-2/