Why Gold Stopped Being a Commodity (AllianceBernstein’s Inigo Fraser-Jenkins) | #649
Inigo Fraser-Jenkins from AllianceBernstein argues for US equity exceptionalism while cautioning against dollar exceptionalism, and makes the contrarian case that gold is no longer a commodity but rather money in the current environment. He contends that bonds will no longer serve their historical diversifying role, and AI productivity gains will likely only maintain current growth rates rather than accelerate them.
Summary
Fraser-Jenkins separates the debate around exceptionalism into two distinct issues: US equity exceptionalism versus dollar exceptionalism. He makes a strategic case for overweighting US equities based on several factors: historical evidence that US firms exploit IT advantages better than competitors, favorable demographics with a flat working-age population compared to declines in Europe and China, and an extraordinary and sustained growth in profit share of GDP for US firms over decades. However, he declines to defend dollar exceptionalism, citing fiscal sustainability concerns, geopolitical weaponization of the dollar following Russia's invasion of Ukraine, and capricious policymaking that incentivizes de-dollarization efforts among BRICS nations.
On valuations, Fraser-Jenkins acknowledges that US stocks appear fully valued on a Shiller PE basis, but argues that valuation alone is a dangerous guide when earnings growth can support markets. He contends that multiples cannot expand further, so returns will be lower in real terms than historically, but still positive. Critically, he argues that most assets today are relatively expensive across the board, implying a lower-return environment overall.
Fraser-Jenkins makes a striking case that bonds will not perform their historical diversifying role going forward. He notes that while equities and bonds had a negative correlation of -0.4 over the past 20 years, the 200-year average correlation is actually positive at approximately +0.2. This structural shift reflects that the post-1980s period was unusually favorable for bonds due to benign inflation, high starting bond yields, and strong labor force growth—conditions that are reversing. He identifies deglobalization, high debt levels with monetization risks, and climate change as structural forces pointing toward higher equilibrium inflation without corresponding growth, which fundamentally flips the equity-bond relationship.
On gold, Fraser-Jenkins takes a provocative position: gold is no longer a commodity but rather money in the current environment. He defends gold as having zero correlation with equities across all inflation regimes and stresses this correlation should remain zero theoretically, though temporary abnormalities occur due to flow dynamics. He acknowledges the difficulty in providing price targets for gold but proposes a long-run real return target of approximately 1% annually (versus the historical 150-year average of 0.6%) adjusted upward for BRICS central bank purchasing. He positions gold as an essential diversifier in an environment where bonds no longer fulfill that role, alongside strategic equity overweighting.
On artificial intelligence and productivity, Fraser-Jenkins expresses skepticism about forecasting long-run productivity gains, citing the TMT bubble as evidence of poor forecasting ability. His central case reverses the typical AI analysis: rather than AI creating an uplift to growth, he argues the best realistic scenario is that AI generates approximately 1% additional annual productivity growth, which merely compensates for growth headwinds from demographics (0.8% annual decline in US working-age population growth versus post-1980 trends), climate impacts, and other structural factors. He benchmarks this against historical precedents like the steam engine, which delivered 0.8% sustained productivity growth. His analysis implies that maintaining current growth rates would require AI to match steam engine-level productivity improvements, not exceed them.
On labor markets, Fraser-Jenkins distinguishes between the long-term historical pattern (where automation destroys jobs but more are created elsewhere) and near-term sector-specific disruption. He notes that AI's largest expected impact is on the services sector, which has high unionization rates, differing from past automation in auto and heavy industries. This suggests near-term job dislocation before any long-term labor market rebalancing.
Fraser-Jenkins identifies healthcare as a strategically attractive equity sector, combining demographic tailwinds that support pricing power, plausible AI benefits, and valuations that—despite recent outperformance—remain in the lower half of their 20-30 year range. He also highlights the historical role of survivorship bias in equity return analysis, noting that in 1899 the six to seven largest markets besides the US and UK went to zero sometimes multiple times, cautioning against assumptions that past US success is destiny.
On inflation, Fraser-Jenkins forecasts higher equilibrium inflation (high 2% to 3% range) due to deglobalization, debt dynamics, and climate factors, but stops short of unanchored inflation forecasts. He notes that inflation above 4% becomes problematic for portfolio construction because equities stop behaving as real assets. He emphasizes that investors must shift focus from nominal return targets to real return targets, as the low-inflation era that enabled nominal benchmarking is ending.
About this episode
Today’s guest is Inigo Fraser Jenkins, Chief Investment Strategist at AllianceBernstein. In today’s episode, Inigo argues that the golden era of easy diversification and high real returns is ending. He defends US equity exceptionalism while declining to defend the dollar. To close, he makes the case for gold and explains why bonds may no longer diversify equities. (0:00) Starts (0:54) Is US exceptionalism dead? (10:27) US vs. foreign profit margins (15:12) Diversifying beyond 60/40 (21:05) Gold is money and the role it plays in portfolios (33:08) Higher expected future inflation (35:26) The bull case for healthcare (39:24) Inflation volatility and commodity demand (42:38) AI's impact on the labor market ----- Sponsors: Farmland LP is one of the largest investment funds in the US focused on converting chemical-based conventional farmland to organic, sustainably-managed farmland using a value-add commercial real estate strategy in the agriculture sector. Upwork is the world's largest human and AI-powered freelance marketplace to hire top talent—trusted by businesses and professionals worldwide. ----- Follow Meb on X, LinkedIn and YouTube For detailed show notes, click here To learn more about our funds and follow us, subscribe to our mailing list or visit us at cambriainvestments.com ----- Follow The Idea Farm: X | LinkedIn | Instagram | TikTok ----- Interested in sponsoring the show? Email us at [email protected] ----- Past guests include Ed Thorp, Richard Thaler, Jeremy Grantham, Joel Greenblatt, Campbell Harvey, Ivy Zelman, Kathryn Kaminski, Jason Calacanis, Whitney Baker, Aswath Damodaran, Howard Marks, Tom Barton, and many more. ----- Meb's invested in some awesome startups that have passed along discounts to our listeners. Check them out here! ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com).
Key Insights
- Fraser-Jenkins argues that US firms can exploit productivity gains from AI faster than international competitors partly because they have greater ability to rapidly reduce labor forces, giving them an advantage in the initial automation stages.
- He contends that the post-1980s period was structurally unusual for markets due to benign inflation, high initial bond yields, and strong labor force growth from demographics and globalization, and that this period is ending, requiring portfolio reconstruction.
- Fraser-Jenkins claims that bond-equity correlations will likely remain positive (averaging +0.2) rather than the recent negative correlation (-0.4), fundamentally breaking the 60-40 portfolio's diversifying properties because growth-negative inflation drivers eliminate bonds' historical hedging benefit.
- He argues that AI's most realistic scenario is generating 1% annual productivity gains, which merely offsets growth headwinds from demographics and climate—not an uplift to growth—making the steam engine a relevant productivity benchmark that AI must match but not exceed.
- Fraser-Jenkins contends that gold has moved from commodity status to monetary status due to geopolitical uncertainty and de-dollarization pressures, and should maintain zero correlation with equities because it has no cash flows or inherent economic tie to business cycles.
- He observes that AI automation risk is concentrated in the high-unionization services sector, unlike past automation in auto and heavy industries, implying near-term acute job dislocation despite historical patterns of long-term employment rebalancing.
- Fraser-Jenkins identifies that most institutional investors still use nominal return benchmarks when they should focus on real returns, and this mental shift hasn't yet occurred across the investment industry despite becoming essential in a higher-inflation regime.
- He emphasizes that survivorship bias distorts equity return expectations because ranking 1899 markets by capitalization shows the US and UK succeeded while six to seven major markets went to zero sometimes repeatedly, yet history is analyzed only through the surviving US market lens.
Topics
Transcript
AI presumably does raise productivity, but the central case of that is that it just keeps us running at the growth rates that we've seen in recent decades, not an extra uplift to growth. Gold is actually no longer a commodity. Gold is money in this kind of environment. with our sector being number one on the list, and then overlay it with unionization rates in different sectors, then it looks starkly different from attempts at automation in, say, heavy industries, auto industries, etc., in the last 20 or 30 years. So it implies in the near term, at least, that I think we should expect some level of job dislocation. If you rank markets by market cap in 1899,…
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