Acciones de infraestructura impulsadas por IA que merecen atención en 2026: Aprovechar el ciclo global de adopción de la inteligencia artificial

The global AI revolution is accelerating, and its infrastructure underpinnings-data centers, semiconductors, and cloud services-are poised for explosive growth. By 2026, the demand for AI-ready infrastructure will reshape industries, driven by surging workloads in training, inference, and real-time applications. Investors who position themselves now in the high-growth enablers of this transformation stand to benefit from a market that is still in its early innings.

The AI Infrastructure Boom: A $5.2 Trillion Opportunity

According to a report by JLL, the global data center sector is projected to nearly double in capacity from 103 gigawatts (GW) in 2025 to 200 GW by 2030, with AI workloads accounting for 50% of this demand by the end of the decade. This growth is fueled by a $5.2 trillion investment pipeline, with 60% allocated to technology developers, 25% to energy providers, and 15% to real estate and construction firms. The U.S. alone is expected to see data center power capacity expand from 30 GW in 2025 to 90 GW or more by 2030, growing at a 22% CAGR.

Semiconductors, the lifeblood of AI, are also undergoing a seismic shift. AI-specific chips, including custom accelerators and high-end GPUs, are projected to grow from 20% to 50% of the semiconductor market by 2030. This transition reflects the industry's pivot toward specialized hardware optimized for AI's computational intensity and energy efficiency demands. Meanwhile, cloud services remain central to AI deployment, with public cloud platforms handling variable workloads and hybrid strategies gaining traction as enterprises balance cost, latency, and data sovereignty.

Key Sectors and Stocks to Watch in 2026

1. Semiconductors: Nvidia (NVDA) and Broadcom (AVGO)

Nvidia (NVDA) is the undisputed leader in AI semiconductors, with its GPUs forming the backbone of AI training and inference. Its proprietary CUDA platform creates high switching costs for developers, solidifying its dominance. As stated by Deloitte, high-end GPUs will remain the largest contributor to component market revenue in 2026, even as hyperscalers adopt custom accelerators.

Broadcom (AVGO) is another critical player, specializing in application-specific integrated circuits (ASICs) for hyperscalers. Q3 2025 results highlight its explosive growth: AI semiconductor revenue surged 63% year-on-year to $5.2 billion, with Q4 guidance projecting a 66% increase to $6.2 billion. The company's ability to secure $10 billion in AI rig orders and add a fourth major customer underscores its strategic position in the AI chip supply chain.

2. Chip Manufacturing: Taiwan Semiconductor (TSMC)

Taiwan Semiconductor Manufacturing Company (TSMC) is the gatekeeper of advanced AI chip production. In Q3 2025, the company reported a 39% year-on-year profit increase and 41% revenue growth, driven by surging demand for its 3nm and 2nm chips. TSMC's capital expenditure for 2025 reached $47 billion, with plans to expand its U.S. manufacturing footprint through the Gigafab project in Arizona. This strategic move not only addresses geopolitical risks but also positions TSMC to meet the insatiable demand for AI chips from clients like NVIDIA and AMD.

3. Cloud Services: Amazon (AMZN) and AWS

Amazon's AWS division is the linchpin of the cloud-AI ecosystem. In Q3 2025, AWS generated $33 billion in revenue, a 20% year-on-year increase, with operating margins hitting 34.6%. The company's 2025 capital expenditures reached $115.9 billion, with plans to invest $200 billion in AI infrastructure by 2026. Amazon's custom Trainium3 AI chip and innovations like Amazon Bedrock and S3 Vectors are reducing costs and enhancing scalability for AI workloads. With a $200 billion cloud backlog, AWS's long-term revenue visibility is unparalleled.

Strategic Rationale for Investors

The AI infrastructure market is entering a self-reinforcing cycle: increased AI adoption drives demand for specialized hardware and cloud resources, which in turn accelerates AI innovation. For investors, this creates a flywheel effect where early movers like NVDA, AVGO, TSMC, and AMZN are likely to compound their advantages.

Nvidia's dominance in GPUs and software ecosystems, Broadcom's rapid AI ASIC growth, TSMC's manufacturing leadership, and Amazon's cloud-AI integration all align with the structural trends of the AI era. These companies are not just beneficiaries of the current boom-they are architects of the next decade's technological landscape.

Conclusion: Positioning for the AI Era

The AI revolution is no longer a distant promise but an unfolding reality. As data centers expand, semiconductors evolve, and cloud platforms adapt, the infrastructure enablers of this transformation will outperform the broader market. Investors who act now-before the market fully prices in the long-term potential of these sectors-stand to capture outsized returns. The time to invest in AI-driven infrastructure is now.