Woofun AI reports that a structural inversion in global asset valuation is underway, characterized by what Jeff Currie, a senior advisor at KKR and former head of global commodity research at Goldman Sachs, terms 'the revenge of the old economy.' This phenomenon, highlighted by Zhang Yaqi of Wall Street See, posits that the current commodity supercycle, initiated in October 2020, is far from its conclusion. The core thesis rests on a stark disparity: while technology giants like NVIDIA command inflated market capitalizations, physical hard assets and energy sectors remain significantly undervalued. Currie argues that this divergence is not merely cyclical but represents a fundamental reallocation of value from digital speculation to tangible infrastructure.

The valuation gap between AI-driven tech and physical assets is quantifiable and widening. In the S&P 500, energy currently accounts for approximately 3% of the index, a figure Currie believes should expand to 10%–15% as capital rotates. This upside potential is not generated in isolation but is ultimately derived from the AI sector’s own demand for power and infrastructure. The market cap of leading tech firms reflects expectations of perpetual growth, whereas the pricing of energy and physical hard assets fails to account for the impending supply constraints. This mispricing creates a fertile ground for a massive transfer of wealth from overvalued equities to undervalued commodities, a shift that Currie identifies as the defining feature of the current economic landscape.

A more critical variable is the parallel between current capital expenditure patterns and historical episodes of misallocation. The aggressive spending by hyperscale data center operators today mirrors the excessive expansion seen in mining and oil companies in 2014. During that period, capital was poured into projects that ultimately failed to generate adequate returns, leading to a prolonged downturn. Similarly, the current pace of investment in AI infrastructure risks repeating this error, where the sheer volume of capital deployed outpaces the realistic demand for the resulting capacity. This capital misallocation sets the stage for a correction, where the costs of overbuilding will be borne by investors who failed to recognize the diminishing marginal returns of such expansion.

Historical cycle patterns further validate this perspective, with Currie noting a recurring structural pattern that repeats roughly every 12 years. The 1950s saw massive construction, followed by price suppression in the 1960s, during which capital flowed into new economic assets like the 'Nifty 50.' Investment in the old economy stalled during this period, eventually triggering the commodity supercycle of the 1970s. Currie emphasizes that the 1970s supercycle was not caused by the Arab oil embargo, which served only as a catalyst; the real seeds were sown in the early 1960s when investment in physical assets ceased. This historical precedent suggests that the current undervaluation of commodities is a direct result of decades of underinvestment, a pattern that is now reversing as the cycle turns.

The concept of 'the revenge of the old economy' was first introduced by Currie at Goldman Sachs in 2002, following the burst of the internet bubble. Initially viewed as an occasional phenomenon, it has since been recognized as a systematic pattern driven by supply-side constraints. Today, refining profit margins are nearly on par with crude oil prices, a rare occurrence stemming from insufficient long-term investment in refining capacity. This shortage is compounded by damage to Russian refineries, as well as inadequate investment in copper mines and oil fields. Currie notes that oil prices cannot rise solely due to crude oil scarcity; the bottleneck lies in the lack of refining capacity, which limits the ability to process raw materials into usable products.

Deglobalization serves as the first major demand driver accelerating this supercycle. Since trade tensions emerged in 2018, trends such as rising defense spending, the reshoring of key mineral industries, and a shift from 'just-in-time' to 'just-in-case' inventory strategies have become evident. These trends are now accelerating significantly, each relying heavily on commodity inputs. The move toward supply chain resilience requires increased stockpiling of raw materials, which drives up demand for physical assets. This structural shift away from global efficiency toward national security ensures that commodity demand remains robust, regardless of broader economic conditions.

Electrification and energy security constitute the second demand driver, rooted in historical precedents rather than contemporary climate narratives. Currie corrects the common misconception that the rise of renewable energy and nuclear power originated from climate concerns; instead, it was a response to the energy security crisis of the 1970s. The term 'energy transition' was coined by Jimmy Carter in the 1970s, focusing primarily on reducing dependence on foreign oil. Today, the growing demand for data centers further strengthens this logic, as AI infrastructure requires vast amounts of power. Regardless of the narrative framing, the underlying need for secure and abundant energy sources remains unchanged, driving investment in both traditional and renewable energy projects.

Currency devaluation and the role of gold form the third demand driver. Currie argues that large-scale fiscal redistribution has accumulated huge debts, leading to a continuous erosion of the purchasing power of fiat currency. The fiat currency system, formally established in 1971, is merely a short experiment in human history. As gold prices continue to rise, the proportion of gold in central bank reserves naturally increases, signaling a gradual shift toward a gold-standard-like monetary system. This trend reflects a loss of confidence in fiat currencies and a flight to safety, further boosting demand for hard assets that retain value in times of monetary instability.

Woofun AI data shows that for portfolio allocation, Currie suggests institutional investors maintain a commodity exposure of around 3%, given the high volatility of the sector. While pure quantitative models, based on the negative correlation between commodities and stocks, may recommend an allocation of 20%–30%, Currie considers this ratio too high for most investors. The choice of investment tools is equally critical, with the futures curve structure playing a decisive role in actual returns. In a 'backwardation' structure, where near-term contracts are more expensive than distant-term ones, buying cheaper distant-term contracts and selling more expensive near-term contracts can generate a 'rolling yield' that contributes about 30% to returns. This mechanism allowed investors to achieve 30%–40% returns during the Russia-Ukraine conflict, even as oil prices fluctuated.

Conversely, in a 'contango' structure, where distant-term contracts are more expensive, rolling over positions results in losses. This dynamic explains why some retail investors lost money in 2009 and 2020 despite rising oil prices, as they invested in USO funds that suffered from negative roll yields. The shape of the curve is thus as important as the price of the underlying asset, a nuance often overlooked by those relying on simple price trends. Understanding these mechanics is essential for capturing the full potential of commodity investments during a supercycle.

Currie is currently developing a new generation of commodity investment products, aiming to utilize active ETF structures or total return swap contracts. The goal is to allow investors to maintain bullish exposure without managing the complexities of futures rollovers. Existing mainstream products, including the Goldman Sachs Commodity Index (GSCI) and the Bloomberg Commodity Index, were designed decades ago and have not been systematically updated. Currie asserts that anyone with ten years of experience on a commodity trading desk can create an index that yields 10% more than the GSCI by optimizing the rolling mechanism. This innovation seeks to capture scarcity premiums more effectively, providing a superior risk-adjusted return for investors.

This marks a fundamental shift in Currie’s career, moving from analysis to asset ownership. During his 27 years at Goldman Sachs, his role was to advise on commodity valuations; now, through his company 1947 Oil & Gas, he operates oil and natural gas production in the Gulf of Mexico and personally owns these assets. This transition from observer to participant underscores his conviction in the long-term viability of the commodity supercycle. The 'revenge of the old economy' is not just a theoretical framework but a practical reality for those who have positioned themselves to benefit from the resurgence of physical assets. As the cycle progresses, the gap between AI valuations and commodity fundamentals will likely widen, offering significant opportunities for those who understand the underlying dynamics.