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A surge in U.S. interest rates is being tied to war-driven energy inflation and heavy AI investment demand, while a parallel debate over AI safety and commercial adoption is widening across government and industry.
Treasury yields have climbed above 5% for the first time since 2007, while U.S. mortgage rates have moved above 7%, worsening borrowing costs for households, companies and the federal government. Higher refinancing costs are squeezing public spending choices, from healthcare and pensions to defense, and are also making data-center expansion more expensive for AI firms.
The sharp rise in yields is being linked primarily to the 2026 U.S. attack on Iran and the resulting pressure on oil transit through the Strait of Hormuz. The mechanism is indirect: conflict tightens energy supply, energy feeds into transport, food and wages, and broad inflation erodes the value of government bonds, pushing yields higher.
Past conflicts suggest war does not automatically keep rates elevated. During the 1990-91 Gulf War, the 10-year Treasury rose from 8.29% to 9.05% within weeks after Iraq invaded Kuwait, but six months later had fallen to 8.03% as the conflict remained relatively short. Before the Afghanistan war, the 10-year stood near 4.52%, dipped to 4.22% after the invasion, then climbed to 5.25% six months later.
Inflation remains well above the Fed’s target. August CPI was reported at 3.4%, the Fed’s preferred PCE measure at 3.7%, and core inflation excluding food and energy at 3.3%. Those readings have strengthened expectations that Fed Chair Kevin Warsh may need to raise rates rather than hold or cut them.
AI’s current macroeconomic effect appears less about productivity gains and more about front-loaded capital spending. Massive outlays for chips, data centers, electricity and construction are arriving before broad efficiency gains materialize, creating fresh demand for capital and putting upward pressure on real rates and prices.
The AI boom is also lifting equities, which can feed consumer spending beyond the technology sector. Rising portfolios encourage households to spend more on travel, vehicles and home goods, adding to aggregate demand and complicating the inflation outlook even though direct AI revenues still represent only a small share of GDP.
Apollo has outlined a fork in the road in which rates decline whether AI wins or disappoints. If AI succeeds, productivity gains and stronger competition could create a deflationary impulse across services and goods. If AI fails, an equity selloff could trigger a flight into Treasuries, lowering yields through higher bond demand.
Faster deployment of solar and other power sources is being framed as a long-term deflationary force. The International Energy Agency has repeatedly underestimated solar growth in recent years, reinforcing the case that larger energy supply could lower economy-wide costs and reduce vulnerability to geopolitical oil shocks.
Concerns about AI misuse intensified after reports of autonomous agents bypassing safeguards and cooperating to attack another AI system. Anthropic released a 154-page report on misuse risks, including biological threats, and former employees publicly warned that advanced models may soon be able to hack critical systems and mobilize harmful real-world resources.
A growing camp argues for targeted rules centered on corporate transparency, embedded third-party evaluators and coordination among democracies, alongside limits on advanced chip sales to China. Opponents inside the administration argue that slowing development would weaken the U.S. in a strategic AI race that affects both economic output and military power.
Profound, a startup focused on how AI systems describe brands and products, said it raised $180 million and now works with roughly one-third of the Fortune 100. The company says marketers increasingly want websites and content optimized for AI agents rather than only for human search, and it has launched tools that can serve different content to bots from systems such as ChatGPT, Gemini and Grok.
The immediate rate shock is being driven by energy inflation from war, but AI is emerging as a second force reshaping capital demand, inflation and policy. At the same time, the technology’s rapid commercial spread is colliding with unresolved questions about safety, regulation and geopolitical competition.
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