New York: Artificial intelligence continues to reshape the global mergers and acquisitions market, with technology companies, infrastructure providers and investors pursuing major AI-related transactions even as overall deal-making activity slows

The wider M&A market has lost momentum as higher borrowing costs make acquisitions more expensive to finance. However, artificial intelligence remains an area where companies are willing to commit substantial capital in an effort to secure computing capacity, technology and strategic expertise.

AI Becomes a Major Deal Driver

Businesses increasingly view artificial intelligence as a long-term strategic priority rather than a short-term technology trend.

Companies are seeking acquisitions and partnerships that can strengthen their capabilities in generative AI, cloud computing, semiconductors, data management and enterprise software.

The competition has created strong demand for businesses that control valuable AI technology or infrastructure.

Data Centres Attract Investment

One of the largest areas of spending is AI infrastructure.

Training and operating advanced AI models requires enormous computing capacity, creating demand for specialised data centres capable of supporting powerful processors.

Technology companies and infrastructure investors are therefore directing billions of dollars toward new data-centre projects, power supplies and computing networks.

The expansion has also increased interest in companies that provide cooling equipment, electrical systems, networking technology and other services required to operate large computing facilities.

Semiconductor Companies Remain Important

Advanced chips are another critical part of the AI investment cycle.

AI systems require specialised processors capable of performing large numbers of calculations efficiently. This has increased the strategic importance of semiconductor designers, chip manufacturers and companies supplying equipment used in advanced chip production.

Businesses are exploring acquisitions, investments and long-term supply agreements to secure access to these technologies.

Higher Borrowing Costs Create Challenges

The surge in AI investment is occurring while global financing conditions become more difficult.

Government bond yields have risen sharply, increasing the cost of corporate borrowing. Companies financing acquisitions with debt must therefore consider significantly higher interest expenses.

This environment is making buyers more selective about potential transactions.

Deals that once appeared financially attractive may become more difficult to justify when borrowing costs rise.

Cash-Rich Technology Groups Have an Advantage

Large technology companies with substantial cash reserves are comparatively well positioned.

These businesses can finance investments without relying as heavily on expensive debt, allowing them to continue pursuing strategic acquisitions even during periods of financial-market volatility.

Smaller technology companies may face greater challenges, particularly if they require large amounts of external capital to fund expansion.

Energy Becomes Part of the AI Investment Story

The rapid growth of AI has also increased demand for electricity.

Large data centres consume significant amounts of power, leading technology companies to seek reliable long-term energy supplies.

As a result, the AI investment boom is increasingly connected with deals involving electricity generation, renewable energy, grid infrastructure and energy-storage technologies.

Investors Become More Selective

Despite strong interest in AI, investors are paying closer attention to valuations.

Companies are increasingly expected to demonstrate how AI investments could generate revenue, improve productivity or create strategic advantages.

This shift could favour businesses with established customers, proprietary technology and sustainable business models.

AI Remains Central to Corporate Strategy

The broader slowdown in mergers and acquisitions shows that companies are becoming more cautious about major transactions.

Artificial intelligence, however, remains an exception because many businesses view the technology as essential to their future competitiveness.

The combination of AI software, advanced semiconductors, data centres and energy infrastructure is creating a new ecosystem of investment opportunities.

As companies compete for technological leadership, AI-related transactions are likely to remain an important part of global corporate activity even if higher interest rates continue to limit deal-making elsewhere.