Ray Dalio Says US Is In Decline, Warns Of Taiwan Market Crash Risk

2 min read     Updated on 01 Aug 2026, 02:11 AM
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AI Summary

Ray Dalio asserts the U.S. is in decline, citing the Iran war as a mistake that revealed American vulnerability. He warns that a Chinese blockade of Taiwan could crash global markets by disrupting TSMC chip supplies. Prediction markets show low odds for quick resolution of Hormuz shipping issues.

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Bridgewater Associates founder Ray Dalio declared that the United States is currently in a phase of "decline," arguing that recent geopolitical conflicts have exposed the limits of American power. Speaking on The Diary of a CEO podcast released Thursday, Dalio identified the war with Iran as "a big mistake" that signaled to global leaders, particularly in Asia, that the U.S. lacks the appetite for prolonged conflict. This perception shift carries significant implications for global capital allocation and risk assessment, as investors recalibrate their views on U.S. hegemony and the stability of the rules-based international order.

Dalio compared the current situation to Britain’s humiliation at Suez, noting that threats no longer work in a world where order breaks down. He emphasized that Americans are focused on gas prices and casualties, wanting conflicts to end quickly, which he argued is incompatible with effective warfare. The control of the Strait of Hormuz serves as a "litmus test" for this dynamic. Dalio questioned whether Washington would bear the long-term cost of controlling the strait and confronting a country of roughly 90 million people, stating that temporary control is insufficient without enforcing it "for the forever and ever future."

Market Sentiment And Energy Prices

Prediction markets reflect uncertainty regarding the conflict's trajectory. Polymarket assigns a 25% chance that the U.S. will invade Iran before 2027, a market that has drawn $50.9 million in volume. Traders see just 7% odds that Hormuz traffic returns to normal by August 31, with the conflict continuing to sharply restrict shipping through a route that previously carried roughly one-fifth of global oil and natural gas supplies.

Metric Value Context
Brent Crude Price $88 Friday trading level
US Gasoline Price $4.10+ Average per gallon
Invasion Probability 25% Before 2027 (Polymarket)
Hormuz Normalization 7% By August 31 (Polymarket)

Taiwan And Semiconductor Risks

Dalio identified Taiwan as the next critical test for U.S. intervention capabilities. He questioned whether Washington would intervene if Beijing blockaded Taiwan, arguing that the Iran conflict has led Asian governments to doubt whether America would "show up" in a regional crisis. China already possesses significant leverage without firing a shot, having become a larger trading partner than the U.S. for most countries.

The financial stakes are highest in the technology sector. Dalio warned that if China blocked semiconductor exports for just five days, "you’d see the world stock markets crash." A Chinese blockade or military conflict halting exports from Taiwan could cut global customers off from Taiwan Semiconductor Manufacturing Co. (NYSE:TSM), which produces advanced chips used by Nvidia Corp. (NASDAQ:NVDA) and much of the broader technology industry. Even a brief interruption could constrain AI data-center expansion, disrupt electronics and automotive production.

What The Numbers Show

The divergence between Dalio’s qualitative assessment of U.S. decline and the quantitative data from prediction markets highlights a growing disconnect between official policy and market expectations. While traditional diplomatic channels may assert strength, Polymarket’s low probability (7%) for Hormuz normalization by August 31 suggests traders expect prolonged disruption. This aligns with Dalio’s view that "power" wins when rules conflict with reality, implying that investors should price in sustained volatility in energy and tech supply chains rather than expecting a quick resolution to geopolitical tensions.

How might institutional investors adjust their geopolitical risk models to account for the perceived decline in U.S. willingness to engage in prolonged military conflicts?

What specific hedging strategies should technology companies adopt to mitigate the risk of a sudden, multi-day disruption in TSMC semiconductor exports?

Could the low probability of Strait of Hormuz normalization by August 31 trigger a structural shift in global energy infrastructure investment away from Middle Eastern dependencies?

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Ray Dalio warns investors: computers have no common sense

1 min read     Updated on 29 Jul 2026, 03:33 PM
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Reviewed by
ScanX News Team
AI Summary

Ray Dalio warns that AI lacks common sense and deep understanding, urging investors to avoid blind faith in machine learning. His comments echo concerns from Microsoft CEO Satya Nadella and others about the risks of losing proprietary knowledge and critical thinking skills amidst surging AI adoption.

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Billionaire investor Ray Dalio has cautioned market participants against placing blind faith in artificial intelligence, arguing that while machine-learning systems can identify patterns, they lack the common sense required to understand the logic behind them. In a post on X on July 28, 2026, Dalio emphasized that computers could easily misconstrue relationships between events, such as assuming waking up causes hunger because the two actions often occur sequentially, without grasping the actual causal reasons.

Dalio, founder of Bridgewater Associates, stated that he prefers making fewer decisions where he possesses high confidence rather than taking numerous uncertain bets. "I’d rather have fewer bets (ideally uncorrelated ones) in which I am highly confident than more bets I’m less confident in," he wrote. He added that developing a deep understanding of the forces driving outcomes is essential for his investment process, contrasting this with the ease many find in vesting blind faith in machine learning.

Broader Industry Warnings

Dalio’s comments align with growing concerns among technology leaders and academics regarding the risks of AI adoption. Earlier this month, reports indicated that more than 40% of U.S. workers were using AI on the job. However, experts warned that overreliance on these tools could weaken critical thinking, creativity, and workplace communication. Sandra Matz, a professor at Columbia Business School, advised that AI should be utilized as a productivity tool rather than a replacement for human judgment.

Corporate leaders have also highlighted specific risks associated with AI integration. Satya Nadella, CEO of Microsoft Corp., warned that companies risk losing proprietary knowledge through AI use. He urged businesses to retain ownership of insights created from prompts, workflows, and feedback shared with AI systems. Meanwhile, billionaire entrepreneur Mark Cuban urged companies and leaders to develop AI skills, warning that businesses failing to understand and adapt to the technology could struggle as it reshapes competition, productivity, and hiring.

What the Numbers Show

The divergence in perspectives highlights a critical tension in the current financial landscape: the balance between efficiency gains from automation and the preservation of human analytical rigor. While adoption rates are surging—with over 40% of U.S. workers utilizing AI—the qualitative warnings from figures like Dalio and Nadella suggest that quantitative speed may come at the cost of qualitative accuracy. The data indicates that while AI is becoming a standard operational tool, its limitations in understanding context and causality remain a significant risk for high-stakes decision-making.

How might institutional investors adjust their risk management frameworks to mitigate the specific causal reasoning gaps identified by Dalio in AI-driven trading models?

What regulatory measures could emerge to address Microsoft CEO Satya Nadella's concerns regarding the erosion of proprietary knowledge through widespread AI integration?

Will the divergence between AI adoption rates and human critical thinking capabilities lead to a new premium for human-led strategic decision-making in corporate governance?

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