- AI safety and AI risks are gaining attention as Satya Nadella calls for stronger safeguards, while AI borrowing and AI debt face growing scrutiny amid questions over future returns
- AI-related debt issuance fell nearly 80%, from $113 billion in June to $23 billion in September, according to Morgan Stanley data cited by the Financial Times.
- NVIDIA and Microsoft shares rose 1.22x and 1.13x, respectively, between January 1 and October 12, 2026, according to MarketCapOf’s comparison tool
AI safety is now emerging as one of the leading concerns for global sectors. Companies are now increasingly spending capital on AI, compelling leading figures like Satya Nadella to call for stronger AI risk assessment guardrails. In his latest statement, Nadella has issued a call for stronger AI safeguards as the tech continues to evolve and take the center stage. In addition to this, new figures are now suggesting AI borrowing has slowed considerably after months of heavy investments, with investors now watching the evolution of the sector in a new light.
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Satya Nadella Calls For An AI Emergency Brake, Flagging AI Safety Rules

In a post published on October 10, Microsoft CEO Satya Nadella has issued a call, stating how companies should not rely entirely on assurances from AI model developers. Instead, they should build systems with independent controls and clear records of model actions to ensure utmost transparency. He further added how systems should also add a feature where authorized personnel can pause or shut down a model when necessary.
His concern stems from a broader narrative that advanced AI systems are increasingly designed to carry out tasks independently. This mode of work may sometimes push a system to perform independent tasks, the ones that may compel it to behave unexpectedly. Nadella voiced his concern for the same, calling for greater transparency around some of the core AI features to curb the rising AI risks.
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AI Borrowing Falls From $113B to $23B
While AI safety continues to take center stage, a new development is surfacing, putting AI borrowing in the center of it. According to Morgan Stanley data cited by the Financial Times, global AI-related debt issuance fell to $23B in September from a record $113B in June.
This represents a dramatic decline of nearly 80% in new debt issuance, showcasing the gradual evolution of the sector.
“But is less borrowing necessarily bad? Not entirely. Slower borrowing could be a healthy correction, allowing companies to manage debt while investors reassess risks. However, if lenders are losing confidence in AI’s profitability, tighter financing could delay data centers, weaken chip demand, and pressure tech valuations. The implications could extend beyond AI to corporate credit and the broader stock market. Is AI borrowing slowing because companies need less capital or because investors are less willing to provide it?”
Despite this slowdown, companies have raised nearly $466B in AI debt during 2026 through the period covered by the report. Morgan Stanley attributed much of the slowdown to companies having borrowed heavily earlier in the year. This drop may not represent the fact that AI companies are now slowing down their aggressive AI financing techniques. It may represent how companies might be taking a pause before they work on new AI financing strategies.
MarketCapOf’s ROI calculator tool shows that NVIDIA (NVDA) rose 1.22x, while Microsoft (MSFT) increased 1.13x between January 1 and October 12, 2026. The comparison highlights the gains recorded by two major AI companies during a period of heavy investment in AI infrastructure. Investors will now be watching how AI spending and financing conditions evolve for both companies, as NVIDIA and Microsoft remain major players in the AI industry. Their future performance may depend partly on whether continued investment in AI infrastructure translates into sustainable revenue growth and returns.
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