AI Investment Set to Drive Global Economic Growth
Artificial intelligence investment is expected to remain a key driver of global economic expansion through 2026, according to a new macro report by BofA Global Research. The study, part of its “AI Matters” series, estimates that AI-related spending will add around 0.4 percentage points to U.S. GDP growth this year.
While this contribution may moderate by 2027, current spending plans from major technology players—often referred to as hyperscalers—continue to support a strong near-term outlook.
AI Boom Expands Beyond the U.S.
The impact of AI investment is not limited to the United States. Countries such as Taiwan, Mexico, and South Korea are emerging as major beneficiaries of shifting capital flows, as global supply chains adapt to meet rising demand for AI infrastructure and hardware.
These regions are increasingly playing a central role in supporting the global AI ecosystem, highlighting the transition of AI from a localized innovation trend into a worldwide economic force.
US-China AI Race Reshapes Global Supply Chains
The United States and China remain at the forefront of the global AI race, each pursuing distinct strategies. The U.S. leads in advanced AI model development and innovation, driven by private-sector research and investment.
In contrast, China is leveraging state-backed scaling, lower energy costs, and strong control over critical raw materials used in semiconductor production.
This rivalry is generating strong demand for AI-related exports, particularly from countries deeply integrated into the technology supply chain.
Key Beneficiaries: Taiwan, Mexico and Korea
Taiwan continues to stand out as a major winner of the AI boom, with analysts maintaining an ambitious 8% GDP growth forecast for 2026, largely driven by semiconductor demand.
At the same time, Mexico and South Korea are experiencing structural growth as they strengthen their roles in AI hardware production and supply chain integration. Despite geopolitical risks, demand for high-performance chips and infrastructure components remains resilient.
From Investment Cycle to Productivity Gains
As the initial wave of AI investment matures, attention is shifting toward its long-term impact on productivity. Analysts are assessing whether AI will deliver incremental efficiency improvements or fundamentally reshape labor markets.
The current phase is heavily driven by infrastructure and hardware spending, but the next stage will depend on how effectively countries adopt AI technologies across industries.
Skills Gap to Define Future Competitiveness
While AI adoption may disrupt certain sectors, the broader challenge lies in workforce adaptation. The growing demand for advanced skills is expected to play a critical role in determining national competitiveness in the coming years.
Countries that successfully address this skills gap are likely to benefit most from the next phase of AI-driven growth.
AI Investment Cycle Still Far from Peak
The report suggests that the global AI investment cycle is still in its early stages. Continued capital flows into data centers and specialized semiconductor technologies indicate strong momentum ahead.
Ultimately, the ability of global suppliers to meet rising demand will shape future economic growth patterns, with investors closely watching leading economies that remain essential to the evolving AI ecosystem.
