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Manila Times Business

AI Companies Issued $236 Billion of Debt in Just Five Months.

AI borrowing is rising fast. Famous economist Jim Rickards explains why that could matter more than the technology itself in a new free presentation. Baltimore, MD, July 13, 2026 (GLOBE NEWSWIRE) -- Most of the attention on artificial intelligence has gone to the technology itself. The models, the chatbots, the breakthroughs that seem to land every few weeks. But another number has started to catch the eye of people who watch corporate balance sheets for a living. Over the first five months of 2

Context & Analysis

The surge in corporate borrowing by artificial intelligence developers reflects a broader reality: the AI transition is fundamentally a capital-intensive infrastructure play. Data centers, semiconductor supply chains, and cloud networks require massive upfront investment, and companies are turning to credit markets to bridge the gap between current cash flows and long-term revenue projections. This dynamic extends well beyond Silicon Valley and directly shapes the operating environment for Philippine businesses.

For local IT-BPM providers, software developers, and digital service exporters, heavy global AI financing typically translates into stronger demand for implementation, maintenance, and cybersecurity support. Yet it also raises the cost of doing business. When foreign tech firms carry elevated debt loads, they often tighten vendor terms, accelerate automation, or pass financing expenses downstream. Philippine companies competing in these supply chains must prioritize scalable service models and disciplined working capital management rather than relying on speculative growth narratives.

On the macro level, the credit expansion influences how global capital rotates through emerging markets. Foreign portfolio investors tracking Asian equities frequently adjust exposure based on US tech valuations and corporate leverage trends. If borrowing costs rise or debt refinancing encounters friction, risk appetite can cool quickly, affecting peso liquidity and foreign fund flows into the Philippine Stock Exchange. The Bangko Sentral ng Pilipinas will likely monitor these cross-border credit conditions as it calibrates domestic monetary policy, particularly given the currency’s sensitivity to dollar strength and global rate expectations.

Domestically, the Securities and Exchange Commission and Department of Trade and Industry continue to refine frameworks for corporate digital transformation and data governance. Rather than chasing hardware or model development, Philippine firms should focus on integrating AI into existing workflows, strengthening talent pipelines, and maintaining conservative balance sheets. Watch how peso corporate bond yields trend, how foreign funds reposition Philippine tech exposures, and whether domestic regulators introduce clearer guidelines on AI procurement and data security. The technology may capture headlines, but credit conditions will dictate who survives the build-out.

Analysis by IJE Software — original commentary on the story above.

This is an excerpt. Read the full article at the original source:

Source: manilatimes.net

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