Capturar la revolución de la inteligencia artificial: 3 fondos de inversión que están preparados para crecer en 2026

The artificial intelligence (AI) revolution is reshaping global economies, and investors seeking to capitalize on this transformation face a critical question: How to balance the pursuit of high-growth opportunities with the need for strategic diversification? The answer lies in a nuanced approach that combines direct exposure to AI-driven technologies with indirect investments in broader, high-quality companies. Three exchange-traded funds (ETFs) stand out in 2026 for their ability to capture AI's potential while mitigating risks through diversified strategies.

1. Global X Artificial Intelligence & Technology ETF (AIQ): Broad, Unconstrained Exposure

For investors seeking a balanced, passive approach to AI growth, the Global X Artificial Intelligence & Technology ETF (AIQ) offers a compelling solution. With 86 holdings spanning AI hardware, software, and infrastructure, AIQ avoids overconcentration in mega-cap tech stocks, instead distributing risk across a broader universe of innovators. Key holdings include Samsung, Alphabet, and Advanced Micro Devices, while its expense ratio of 0.68% reflects its cost efficiency.

According to a report by Global X, AIQ's unconstrained strategy ensures geographic diversification, with exposure to both U.S. and international markets. This is particularly valuable in an AI landscape where breakthroughs are increasingly global. Performance metrics for 2025–2026 show a year-to-date return of 35.49%, underscoring its resilience amid market volatility. For investors prioritizing breadth over speculation, AIQ provides a stable foundation.

2. Ark Next Generation Internet ETF (ARKW): Active Growth in AI's Frontiers

For those willing to embrace higher risk for potentially outsized returns, the Ark Next Generation Internet ETF (ARKW), managed by Cathie Wood, targets companies poised to benefit from generative AI, cloud infrastructure, and next-generation internet services. Unlike AIQ, ARKW is actively managed and concentrated in high-growth sectors, with 43.88% of assets allocated to technology services and 12.9% to electronic technology.

ARKW's geographic focus is heavily North American, with the U.S. accounting for 79.15% of its holdings. While this concentration amplifies exposure to U.S. AI innovation, it also increases vulnerability to regional market swings. However, its performance in 2025–2026 has been robust: a 42.71% year-to-date return and a 50.36% gain over the past year. At 0.82% expense ratio, ARKW is costlier than AIQ, but its active management aligns with its high-growth mandate.

3. Vanguard Dividend Appreciation ETF (VIG): Indirect AI Exposure with Stability

Not all AI exposure requires direct bets on tech stocks. The Vanguard Dividend Appreciation ETF (VIG) offers an indirect yet meaningful pathway by investing in high-quality dividend growers, many of which are AI innovators. Companies like Microsoft, Broadcom, and IBM-deeply involved in AI research and infrastructure-comprise 28% of VIG's portfolio.

VIG's strategy prioritizes stability and income, with a 10.04% annualized return over 20 years and a dividend growth of 82% over the past decade. Its geographic and sector diversification reduces volatility compared to AIQ or ARKW, making it ideal for risk-averse investors. While its expense ratio is not explicitly stated, it is known to be lower than actively managed funds like ARKW. For investors seeking to hedge against AI's inherent volatility, VIG provides a counterbalance.

Strategic Diversification: Balancing Direct and Indirect Exposure

The AI revolution demands a diversified portfolio that combines the strengths of these three ETFs. AIQ offers broad, passive exposure to a global AI ecosystem, while ARKW targets high-growth opportunities in AI's most dynamic sectors. VIG, meanwhile, ensures stability by capturing AI's indirect benefits through established, dividend-paying companies. Together, they form a resilient strategy that mitigates the risks of overconcentration in any single stock or region.

For example, specialized ETFs like the or Roundhill Generative AI & Technology ETF (CHAT) can further refine exposure to niche areas such as AI hardware or generative AI. However, these should complement-not replace-the core trio, which provides a more balanced foundation.

Conclusion

As AI reshapes industries, investors must navigate a landscape of rapid innovation and uncertainty. The Global X AIQ, Ark ARKW, and Vanguard VIG exemplify how strategic diversification-spanning direct and indirect exposure, active and passive management, and global and regional markets-can position portfolios to thrive in 2026 and beyond. By combining these funds, investors can harness AI's transformative potential while safeguarding against its inherent risks.