Market Analysis

Delivers insights into price action, technical indicators, market forecasts, and future trends. Data-driven analysis helps investors understand market dynamics and identify potential opportunities for informed decision-making.

AI is Revaluing the Real World: Why Gold, Silver, and Copper are Becoming Important Again

AI is reassessing the value of the real world: why gold, silver, and copper are regaining importance. For over a decade, financial innovation centered on digitalization, from internet platforms to RWA tokenization. However, AI's rapid development highlights a deeper dependency: the physical infrastructure underpinning the AI era, not just code. Contrary to being "dematerialized," AI strengthens reliance on the real world. Every model training and deployment requires vast resources—data centers, energy grids, cooling systems, and critical industrial materials like copper, silver, and gold, which provide irreplaceable conductivity and durability. This shift is redefining the asset layer structure. A new "Asset Stack" is emerging: - Physical Layer: Metals, energy, and raw materials. - Financial Layer: Government bonds, ETFs, structured products. - Digital Layer: Tokenization infrastructure and programmable assets. The digital layer relies on the financial layer, which ultimately depends on the physical layer. While markets previously rewarded upper-layer assets like stocks and digital platforms, AI is redirecting attention to foundational real-world resources. S&P Global forecasts data center copper demand will surge from 1.1 million tons in 2025 to 2.5 million tons by 2040, amid a growing global supply deficit. This signals a long-term structural shift where energy, metals, and infrastructure form a critical "Physical Layer" that could limit AI's expansion. Tokenization alone doesn't create value; it connects markets to already-trusted assets. Successful tokenization requires mature demand, deep liquidity, and institutional consensus. Thus, the logical progression begins with sovereign debt (highest liquidity and trust), followed by gold (centuries of global consensus), then silver (blending reserve and industrial utility). Future expansion may include industrially critical materials like copper. Within gold, a key divergence is appearing. Gold ETFs solved "investability" but keep gold within traditional financial systems. Gold tokens, like Matrixdock's XAUm, explore making gold a functional part of the digital financial system—enabling instant settlement, cross-border collateral, and programmable utility without intermediaries. Looking ahead, industrial metals are evolving from commodities to strategic "functional assets." Silver faces a structural supply deficit, driven by demand from solar, EVs, and AI infrastructure. While gold represents a "Store of Value," metals like silver and copper are becoming "Stores of Function." Tokenizing them, as with Matrixdock's XAGm for silver, focuses not just on reserve value but on bridging physical commodity systems with digital infrastructure for efficient circulation. Ultimately, the asset layer is evolving to be more grounded in the strategic, physical realities of the economy. The most valuable assets for tokenization may not be the easiest to digitize, but those most essential for long-term economic and technological foundations.

链捕手05/13 11:00

AI is Revaluing the Real World: Why Gold, Silver, and Copper are Becoming Important Again

链捕手05/13 11:00

Countdown to the AI Bull Market? Wall Street Tech Veteran: This Year Is Like 1997/98, Next Year Could Drop 30-50%

"AI Bull Market Countdown? Wall Street Veteran: This Year Feels Like 1997/98, Next Year Could Drop 30-50%" In an interview, veteran tech analyst Dan Niles draws parallels between the current AI boom and the 1997-98 period of the internet boom, suggesting the bull run isn't over yet. The core new driver is identified as "Agentic AI," which performs multi-step tasks and consumes vastly more computing power than conversational AI. This shift is expected to boost demand for cloud infrastructure and benefit CPU makers like Intel and AMD, potentially pressuring GPU leader Nvidia. However, Niles warns of significant short-term overbought conditions in semiconductors. His central warning is for a potential major market correction of 30-50% starting in early 2027. Drivers include a slowdown from high growth comparables, the outsized capital demands of companies like OpenAI, and a wave of massive tech IPOs sucking liquidity from the market. A J.P. Morgan survey of 56 global investors aligns with this view, finding that 54% expect a >30% U.S. stock correction by 2027. Among mega-cap tech, Niles favors Google due to its full-stack AI capabilities and cash flow, expresses concern about Meta's user growth, and sees potential for Apple's AI Siri and foldable iPhone. Niles advises investors to be nimble, hold significant cash, and closely monitor the conflicting signals from equities, oil prices, and bond yields, which he believes cannot all be correct simultaneously.

marsbit05/13 08:33

Countdown to the AI Bull Market? Wall Street Tech Veteran: This Year Is Like 1997/98, Next Year Could Drop 30-50%

marsbit05/13 08:33

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