For over a decade, global financial innovation has revolved almost entirely around “digitization”: internet platforms, ETFs, stablecoins, and now RWA (real-world asset) tokenization. Yet, as AI advances rapidly, a deeper question is emerging: What truly underpins the AI era? The answer may not be code itself—but rather the physical world behind that code.
AI is redefining the architecture of the asset layer. For years, AI has often been imagined as a “dematerialized” technological revolution—but reality is precisely the opposite. Rather than weakening dependence on the physical world, AI is intensifying it. Every stage—model training, inference, and deployment—relies on massive real-world infrastructure: data centers, power grids, cooling systems, advanced hardware, and industrial resources. In other words, what appears to be a digital system is, at its core, an industrial one.
Within this system, metals and tangible resources are irreplaceable. Materials such as copper, silver, and gold collectively determine electrical conductivity, durability, and infrastructure performance—capabilities no software can replicate. S&P Global forecasts that copper demand from data centers alone will surge from 1.1 million metric tons in 2025 to 2.5 million metric tons by 2040. Meanwhile, the market expects the global refined copper deficit to reach 304,000 metric tons in 2025—and potentially widen to 6 million metric tons by 2035.
As AI infrastructure continues expanding, demand for these real-world resources is surging—while supply remains constrained by structural bottlenecks. An increasing number of industry observers now view this not as a short-term cyclical issue, but as a long-term structural shift. What may now ultimately constrain AI’s expansion is no longer computing power alone, but rather the “Physical Layer”—comprising energy, metals, and real-world infrastructure. And this layer is developing its own scarcity logic, pricing logic, and asset ecosystem.
A new “Asset Stack” structure is taking shape. Against this backdrop, markets are re-examining the relationship among the Physical Layer, Financial Layer, and Digital Layer:
– The Physical Layer includes metals, energy, and real-world resources;
– The Financial Layer includes government bonds, ETFs, and structured products;
– The Digital Layer includes tokenized infrastructure and programmable assets.
The Digital Layer is built atop the Financial Layer, which in turn ultimately rests upon the Physical Layer—the real world. For decades, markets have heavily rewarded “upper-layer” assets. Today, however, AI is redirecting attention back to foundational physical resources themselves.
Tokenization does not create value out of thin air—this explains why most RWA projects have yet to gain meaningful traction. The issue lies not solely with technology, but with asset selection. Tokenization merely reconnects markets to assets they already trust. For an asset to achieve genuine tokenization, it typically must possess mature demand, deep liquidity, and institutional consensus; otherwise, tokenization often adds complexity—not value.
From this perspective, the current trajectory of tokenization is highly rational. Sovereign debt was tokenized first, owing to its globally mature liquidity and credit framework; next came gold—backed by centuries of global consensus; followed by silver, which uniquely combines reserve attributes with industrial demand. Looking ahead, the natural extension lies in industrial materials that underpin the real economy. Notably, the sequence of tokenization does not strictly follow how critical each asset is to AI infrastructure. What determines the order is where market consensus forms first—and each step inherits credibility accumulated in the prior one. This is also the core logic driving Matrixdock, an RWA tokenization platform: begin with assets that markets have already trusted over the long term. To date, Matrixdock manages over $200 million in on-chain assets and serves institutional clients seeking both the stability of real-world assets and the programmability of on-chain infrastructure.
In the gold space, a new development is also unfolding. Gold ETFs were among the most successful financial innovations of the past two decades—they solved key pain points of physical gold: illiquidity, high custody costs, and trading friction. Yet the ETF model, at its core, grants investors “exposure to gold,” rather than integrating gold directly into the financial system. With the rise of programmable finance and on-chain finance, markets are asking a new question: Beyond mere “holding,” can gold actively participate in financial activity? In a sense, this is the fundamental distinction between gold tokens and gold ETFs. Gold ETFs address gold’s “investability”; gold tokens, by contrast, explore gold’s broader functional roles within digital finance. Matrixdock’s gold token, XAUm, is built precisely on this premise. Currently, XAUm manages approximately $74 million in gold AUM (Assets Under Management), with cumulative trading volume exceeding $100 million. Its objective is not simply to replicate the ETF model—but to bring gold into the on-chain financial system.
Gold may only be the beginning. As AI infrastructure continues to scale, more industrial materials are shifting from “commodities” to “strategic resources.” Silver enables electrical conduction; copper powers energy and connectivity infrastructure; and industrial metals are becoming the tangible physical foundation underlying AI infrastructure. Silver, in particular, is seeing a structural shift in its supply-demand balance—currently experiencing its fifth consecutive year of structural supply deficit. If gold represents a “Store of Value,” industrial metals function more like a “Store of Function.” Matrixdock’s silver token, XAGm, marks the first step in this direction.
As the roadmap delves deeper into the “Physical Layer,” the direction grows increasingly clear: Industrial metals critically relied upon by AI infrastructure may soon become pivotal components of the next-generation on-chain asset ecosystem. In a sense, the Asset Stack is evolving toward a foundation rooted more firmly in the physical world—more strategic, and simultaneously more programmable. And the assets most worthy of tokenization in the future may not simply be those “easiest to digitize,” but rather those essential real-economy assets on which the world has long depended.
[BlockBeats]
The Physical Renaissance: How AI is Reshaping the Value Proposition of Precious and Industrial Metals
The narrative surrounding AI’s impact on digital assets has been dominated by discussions about computational power, algorithmic complexity, and virtual worlds. This analysis challenges that paradigm entirely, arguing that the most significant development isn’t AI’s digital evolution but rather its unprecedented intensification of demand for physical resources. For crypto investors, this represents both a fundamental shift in asset valuation and a roadmap for the next generation of Real World Asset (RWA) tokenization.
The Physical Imperative of AI Infrastructure
Contrary to popular perception of AI as a “dematerialized” revolution, the reality is starkly different. Every aspect of AI—from training massive models to deploying inference engines—relies on an extensive physical infrastructure that demands enormous quantities of specific resources. This creates a critical bottleneck that markets are only beginning to price in properly.
The copper market exemplifies this shift. With S&P Global projecting copper demand from data centers alone to more than double from 1.1 million metric tons in 2025 to 2.5 million metric tons by 2040, we’re witnessing a structural demand shock that will fundamentally alter supply dynamics. The projected deficit of 304,000 metric tons in 2025, potentially widening to 6 million tons by 2035, indicates not a cyclical adjustment but a permanent re-rating of copper’s economic importance.
This creates a compelling investment thesis: as AI scales, the constraint on its expansion will increasingly be the “Physical Layer”—enormous energy requirements, advanced hardware dependencies, and the specific materials that make these systems function. For crypto investors, this means the most valuable digital assets of the future may be those that effectively capture and leverage these physical constraints.
The Asset Stack Reimagined
The article’s framework of an “Asset Stack” with Physical, Financial, and Digital layers provides an invaluable lens for understanding where value will accumulate in the coming decade. Historically, markets have disproportionately rewarded “upper-layer” assets, with the Financial and Digital layers capturing most of the value creation. However, AI’s physical requirements are forcing a reevaluation of this hierarchy.
The most critical insight is that tokenization itself doesn’t create value—it unlocks existing value by improving accessibility and programmability. This explains why the most successful RWA tokenization efforts have focused on assets with pre-existing market consensus: sovereign debt (with its mature liquidity framework), gold (with centuries of global consensus), and increasingly silver (which uniquely combines reserve attributes with industrial demand).
For investors, this suggests a strategic focus on RWA platforms that understand this hierarchy and begin with assets where market consensus already exists. Matrixdock’s approach—managing over $200 million in on-chain assets by starting with gold before expanding to industrial metals—demonstrates a rational, stepwise approach to building credibility in the RWA space.
Gold’s Evolution from ETF to On-chain Asset
The distinction between gold ETFs and gold tokens represents one of the most significant developments in digital asset history. Gold ETFs solved critical pain points of physical gold: illiquidity, high custody costs, and trading friction. However, they ultimately only provide “exposure to gold” rather than integrating gold directly into the financial system.
Tokenized gold like Matrixdock’s XAUm (with $74 million in AUM and $100 million in cumulative trading volume) represents a paradigm shift. It enables gold to actively participate in financial activity rather than merely being held as a static asset. This creates new possibilities for gold as collateral in DeFi, as a yield-bearing asset, and as a settlement mechanism across blockchain networks.
For crypto investors, tokenized gold offers a unique hybrid: the stability and recognition of a traditional safe-haven asset combined with the programmability and composability of digital assets. As regulatory clarity improves and institutional adoption accelerates, we anticipate a significant re-rating of gold tokens relative to their ETF counterparts.
Industrial Metals: The New Strategic Layer
While gold represents a “Store of Value,” industrial metals like copper and silver function as a “Store of Function”—enabling the very systems that power our digital economy. This distinction is crucial for investors, as it suggests different valuation frameworks for different categories of physical assets.
The silver market, currently experiencing its fifth consecutive year of structural supply deficit, exemplifies this shift. Unlike gold, which primarily serves as a monetary metal, silver uniquely combines monetary properties with essential industrial applications. Its electrical conductivity makes it irreplaceable in electronics, while its antibacterial properties give it enduring utility across multiple industries.
Matrixdock’s expansion into silver with XAGm marks the first step toward tokenizing these “Store of Function” assets. For investors, this represents a frontier opportunity: as AI infrastructure scales, the tokenization of industrial metals will create new ways to gain exposure to these critical resources while unlocking their latent financial utility.
Investment Implications and Strategic Considerations
For sophisticated crypto investors, this analysis suggests several key strategic considerations:
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RWA Platform Selection: Prioritize platforms that demonstrate a clear understanding of the Asset Stack hierarchy and begin with assets possessing mature market consensus. Matrixdock’s approach of starting with gold before expanding to industrial metals represents a rational, credibility-building strategy.
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Tokenized Commodities Differentiation: Distinguish between tokenized assets that merely replicate existing financial products (like gold ETFs) and those that unlock new financial functionality. The former offer limited upside, while the latter represent true innovation.
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Industrial Metals Exposure: As AI intensifies demand for copper, silver, and other industrial materials, consider tokenized exposure to these assets. Their structural supply deficits combined with increasing AI-driven demand suggest significant upside potential.
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RWA-Bottom-Up Valuation: When evaluating RWA tokens, apply a “bottom-up” valuation approach that accounts for both the underlying asset’s fundamentals and the token’s financial functionality. The most valuable RWA tokens will be those that effectively bridge physical scarcity with digital programmability.
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Regulatory Arbitrage Opportunity: The current regulatory ambiguity around RWA tokenization creates both risks and opportunities. Investors who can navigate this uncertainty while positioning for future regulatory clarity may capture significant alpha.
Conclusion: The Convergence of Physical and Digital
The most profound implication of this analysis is the convergence of physical and digital asset classes. As AI intensifies demand for physical resources, the distinction between “real-world” and “digital” assets will continue to blur. The most successful RWA tokenization platforms will be those that recognize this convergence and build bridges between the Physical, Financial, and Digital layers.
For crypto investors, this represents a fundamental shift in how we think about asset value creation. In the AI era, value will increasingly be determined not just by digital innovation but by the effective tokenization and financial engineering of physical resources that enable that innovation. The platforms that successfully navigate this transition—like Matrixdock with its gold and silver tokenization efforts—are positioned to capture significant value as this paradigm unfolds.
The question is no longer whether physical resources will be tokenized, but which assets will be tokenized first and how effectively their financial utility can be unlocked. For investors, the answer will determine the alpha opportunities in the next phase of digital asset evolution.