AI boom reshapes investment as borrowing costs remain high

TLE Desk: Global companies are entering a new phase of investment in which artificial intelligence is becoming a major driver of corporate spending, even as high interest rates, energy costs and geopolitical uncertainty force businesses to remain cautious about wider expansion.

The scale of the AI investment cycle is becoming increasingly visible in corporate balance sheets. Technology companies are committing hundreds of billions of dollars to data centres, advanced chips and computing infrastructure, while electricity providers, construction firms and equipment manufacturers are benefiting from the rapid expansion of AI-related capacity.

The International Monetary Fund has warned that the AI boom could eventually create financial risks if corporate investment expectations become disconnected from actual productivity gains. The concern is particularly relevant as companies increasingly rely on debt and equity markets to finance large technology projects.

At the same time, the cost of corporate borrowing remains elevated. Higher government bond yields have pushed up financing costs for businesses, making investment decisions more sensitive to expected returns. Smaller companies and firms with weaker credit ratings face greater pressure than large technology companies with strong cash positions.

The result is an increasingly uneven corporate economy. Companies directly involved in AI, semiconductors, cloud computing and data-centre infrastructure are attracting large amounts of capital, while businesses dependent on consumer demand or traditional industrial investment are facing a more difficult environment.

Corporate energy costs are adding another layer of pressure. Oil and gas prices have risen sharply amid continuing geopolitical tensions, increasing operating costs for airlines, manufacturers, transport companies and other energy-intensive businesses.

Yet corporate investment has not stopped. The OECD says strong investment in AI-related technology and other sectors has helped support global economic growth despite the energy shock and weaker overall demand. This suggests that companies are still willing to spend when they expect technology to generate productivity gains or protect their competitive position.

The corporate strategy is increasingly clear: spend heavily where future productivity is expected to rise, while controlling costs elsewhere.

For workers, the transformation is beginning to change the nature of corporate expansion. Companies are investing more in computing power and automation while reassessing the number and type of employees required for routine tasks. At the same time, demand is rising for workers with expertise in AI, data, cybersecurity and advanced engineering.

Investors are therefore watching a crucial question: whether the enormous corporate spending on AI will translate into equally large gains in revenue and productivity.

If it does, the current investment cycle could become a major source of global productivity growth. If returns disappoint, companies could face pressure to reduce capital spending, write down investments and cut costs.

That makes the current corporate boom different from an ordinary investment cycle. Behind the record spending on chips, servers and data centres lies a much bigger corporate bet—that artificial intelligence will fundamentally change how businesses produce, compete and make money.

For now, companies are continuing to place that bet. But with borrowing costs high and the global economy facing energy and geopolitical shocks, shareholders will increasingly demand evidence that the billions being spent today can generate sustainable profits tomorrow.