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The global economy is experiencing the largest capex cycle ever, with nearly $5 trillion seen by the end of the decade—and it’s not all AI spending

By AssetMarketCap · · 5 min read
The global economy is experiencing the largest capex cycle ever, with nearly $5 trillion seen by the end of the decade—and it’s not all AI spending

In a world increasingly driven by technological advancement and urgent environmental concerns, capital expenditure (capex) is surging at an extraordinary pace. Several sectors are contributing to this phenomenon, but two stand out: artificial intelligence (AI) and energy. According to industry experts, including Eli Horton, a senior portfolio manager at TCW, we are witnessing the largest capital cycle in global history, with nearly $5 trillion projected to be spent by the end of the decade. This article delves into the intricacies of this capex boom, examining its roots, the players involved, and the wider implications for economies around the globe.

The Dual Engines of Growth: AI and Energy

AI: The Tech Titans’ Investment Frenzy

In recent years, tech giants like Alphabet, Amazon, Meta, and Microsoft have emerged as the primary forces driving investment in AI technologies. These companies are not merely dipping their toes into the AI waters; they are committing hundreds of billions of dollars annually to bolster their capabilities. This relentless pursuit of innovation in AI encompasses everything from advanced machine learning algorithms to enhanced data processing capabilities, aimed at revolutionizing various sectors, including healthcare, finance, and logistics.

This pace of investment is not just a fleeting trend; it reflects a broader shift in how businesses are approaching technological transformation. According to analysts at Bank of America, hyperscaler capital expenditures for AI are expected to surpass $800 billion this year alone, marking a staggering 67% increase from 2025 projections. The trajectory suggests that by next year, spending could even breach the $1 trillion mark, fueled by robust revenue growth and cash flow.

Energy Sector: A Capital Tsunami

While AI captures headlines, the energy sector is also undergoing a significant transformation, one that is equally critical yet often overshadowed. The ongoing geopolitical tensions, particularly surrounding the Iran war and the potential closure of the Strait of Hormuz, have underscored the urgent need for energy security. As nations recognize the importance of self-sufficiency in energy production, capital investment in this sector is accelerating.

Eli Horton points out three pivotal drivers behind this energy capex boom:

  1. Energy Security: Countries are increasingly focused on ensuring a reliable supply of energy, which leads to investments in domestic energy production and infrastructure.

  2. Growing Electricity Demand: After nearly two decades of stagnation, U.S. electricity consumption is on the rise, spurred by a revival in domestic manufacturing, economic electrification, and, more recently, the AI boom itself.

  3. Decarbonization Efforts: The global push for sustainability is driving investments in renewable energy sources and technologies aimed at reducing carbon emissions.

A $5 Trillion Forecast: The Long-Term Vision

Horton’s analysis suggests that the combined forces of AI and energy investments could unleash a capital spending wave of nearly $5 trillion by the end of this decade, with implications that are likely to extend over several decades. This projection isn’t merely speculative; it’s grounded in observable trends in electricity demand and energy production.

Real-World Examples: Companies Riding the Capex Wave

The implications of this spending surge can be seen in the success of companies that play a pivotal role in these sectors. For instance, Caterpillar, a leading manufacturer of construction and mining equipment, has seen its fortunes transform dramatically amid this capex wave. As demand for construction and mining equipment rises, driven by both AI infrastructure development and energy projects, Caterpillar has positioned itself to benefit significantly.

Another standout example is GE Vernova, which specializes in gas turbines. After years of stagnant growth, demand for GE Vernova’s turbines has skyrocketed, leading to a situation where the company is now sold out until 2030. Given the limited number of manufacturers capable of producing such turbines, GE Vernova finds itself in a strategically advantageous position.

The Role of Chipmakers in the AI Investment Surge

While the focus on AI is promising, a substantial portion of the investments in this sector is directed toward semiconductor manufacturers. The infrastructure supporting AI, particularly data centers, relies heavily on advanced chips to handle massive amounts of data. Bank of America’s analysts emphasize that the pricing power of AI semiconductor vendors is expected to remain robust, allowing them to pass on cost increases to customers effectively.

This scenario raises questions about the sustainability of such investments. As companies continue to scale their AI capabilities, the demand for high-performance chips is likely to persist, leading to a further escalation of capex in the tech sector.

Broader Implications: Economic Growth and Sustainability

The combined growth in AI and energy capital spending holds significant implications for broader economic trends.

Economic Growth

  • Job Creation: As companies invest heavily in infrastructure, manufacturing, and technology, job opportunities are likely to increase across various sectors.
  • Domestic Manufacturing Resurgence: The renewed focus on domestic energy and manufacturing can lead to a revitalization of local economies, reducing reliance on foreign imports.
  • Innovation Ecosystem: Increased investment in both AI and energy could foster a culture of innovation, encouraging startups and established companies to explore novel solutions to pressing challenges.

Sustainability Concerns

However, it is essential to approach this capex boom with a balanced perspective. The drive toward decarbonization and sustainable energy must be complemented by careful planning and execution.

  • Environmental Impact: While the shift towards renewable energy is necessary, the production of certain technologies, such as solar panels and batteries, still carries environmental costs. Policymakers must ensure that investments in clean energy do not inadvertently lead to other forms of environmental degradation.
  • Equity in Access: As capital flows into these sectors, ensuring equitable access to technology and energy remains a critical challenge. Policymakers must work to prevent disparities that could widen the gap between different socioeconomic groups.

Conclusion: A Future Shaped by Investment

As we stand on the brink of what could be the largest capital expenditure cycle in history, the implications of this spending surge are profound. With nearly $5 trillion expected to flow into various sectors by the end of the decade, understanding the drivers behind this capital wave, including AI and energy, is crucial for investors, policymakers, and the public alike.

The dual engines of AI and energy are reshaping the global economy in unprecedented ways. While the immediate benefits are becoming apparent, the long-term effects will depend on how well stakeholders navigate the complexities of this transformation. The focus must remain not just on financial returns but also on fostering sustainable growth that benefits society as a whole.

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