The Lopsided Expansion | Aahan Menon on Why Long-Term Forecasts Don’t Make Money, And The Growing Divergence Between AI CapEx And Labor Market

Episode Summary

Executive Summary: Ahan Mennon says Prometheus Macro has shifted from a broad risk-on, "all assets up" stance toward a more neutral-to-cautious posture on equities and commodities, while becoming somewhat more constructive on bonds and defensive relative-value trades. The core reason is a growing divergence between strong GDP driven by AI capex and weakening labor-market fundamentals, plus increasingly stretched equity earnings expectations concentrated in tech.

Main Topics: Shift from broad risk-on to selective, relative-value positioning (Priority: 5/5): Prometheus Multi-Strategy moved from being heavily long the debasement trade to reducing equity and commodity risk, favoring market-neutral and cross-asset relative-value trades instead of outright beta. Economy: GDP vs labor-market divergence (Priority: 5/5): Ahan argues GDP remains strong because of AI capex and concentrated consumption among high-income households, but employment growth is weakening due to immigration-related labor supply effects and broader labor-market softness. Equity valuation and earnings concentration (Priority: 5/5): Equity markets, especially the S&P 500, are viewed as priced for overly strong earnings growth that is increasingly dependent on tech and AI-adjacent firms, making index-level expectations too rich relative to the broader economy. Why long-term macro forecasting has low trading value (Priority: 5/5): Ahan explains that even perfect long-term forecasts of GDP or asset levels do not translate into superior risk-adjusted returns because market P&L is driven by the path, timing, and short-term price moves, not just the end point. What actually works: nowcasting, dislocations, and fast signals (Priority: 4/5): He argues that alpha is more likely to come from granular, near-term signals, positioning, and market dislocations than from broad economic calls, and that these signals can be combined across many assets into diversified portfolios. Asset-class views: bonds, gold, crude, housing, and global equities (Priority: 4/5): He is more constructive on bonds than in past interviews but still not aggressively long, likes gold tactically but reduced exposure after its surge, is bearish on crude, sees weak housing worsening, and prefers long/short regional and sector dispersion trades. Business model: free research, paid portfolios (Priority: 4/5): Prometheus is positioning its free content as macro education and the paid product as portfolio implementation, offering model portfolios for S&P 500, ETF, and crisis protection exposures, plus institutional multi-strategy signals.

Key Arguments: Broad risk appetite is falling because U.S. equity pricing has become too optimistic relative to likely economic and earnings paths. AI capex can support GDP for a while, but it cannot be the whole economy indefinitely because investment must eventually convert into consumption and must be financed. The labor market is the "center of the universe" for macro, so weakening employment should eventually pull GDP and profits lower. Even if a recession view is correct a year ahead, investors can still lose money if they cannot manage the path and short-term volatility to get there. Most macro forecasts and rate-of-change obsessions do not improve Sharpe ratios; trading success depends on timing, positioning, and market dislocations. The best opportunities are often in relative value and dispersion trades rather than outright directional bets on beta. Prometheus’s edge comes from combining many independent, asset-specific signals across 49 markets rather than relying on one top-down growth/inflation view. For individual investors, portfolios are more valuable than research because implementation and diversification matter more than a macro opinion alone.

Data Points: Markets traded in Prometheus Multi-Strategy: 49 - Institutional multi-strategy program spans global equities, bonds, and commodities. Strategies inside multi-strategy program: 10 independent strategies - The institutional program aggregates multiple sub-strategies into one portfolio. Equity risk shift: Meaningful reduction over the last ~3 weeks - Programs moved from max bullish to more neutral/negative on equities and commodities. Top-income households share of consumption: Almost 70% - Ahan says the top 25% of income households contribute nearly 70% of total consumption spending. AI capex and GDP: Real GDP tracking above 4% - He cites Atlanta Fed-style growth driven by AI capex despite weak labor trends. S&P 500 earnings growth expectations: About 10% to 12% - Ahan says market earnings expectations are rich and largely tech-driven. Portfolio reduction path: 100% max net long to 40%, then flat, then short - Describes how the multi-strategy de-risked ahead of the sell-off. SP 500 model allocation: About 30% allocation to SP 500 - Current lower-risk stance in the SP 500 program with more bonds and gold. Crisis protection portfolio components: TIPS, gold, VIX - Designed to be negatively correlated with the S&P 500. SP 500 portfolio performance: North of 10% annualized - Ahan says the SP 500 program has been on track for a strong year with controlled drawdown. SP 500 portfolio Sharpe: Something north of 0.8 - He describes the S&P 500 program as boring but steady and high Sharpe. Multi-strategy current year Sharpe: About 1.6 - Reported live performance so far this year for the aggregate program. Gold allocation in SP 500 program: About 5% - He calls it a starter position after volatility normalized. Historical backtest drawdown: Maximum drawdown of only 3% - Referenced in the long-run multi-strategy performance discussion. Historical excess returns: 7.3% - Shown as part of the multi-strategy backtest results. Bond alpha needed: Must move from 3-4 cuts priced to about 8 cuts realized - Explains why long bonds are not a strong conviction unless recession severity exceeds pricing. Liberation Day drawdown: 6% to 8% - SP 500 program drawdown during the tariff shock, depending on implementation. Gold ETF flow driver: Marginal flow into gold via ETFs - Ahan says ETF tonnage flows are the main recent driver of gold prices. Oil shipping delays: Higher than COVID levels - He says geopolitical disruptions are delaying oil from production to inventories.

Pivotal Quotes: "pay for portfolios. Not for content." — Ahan Mennon: He summarizes Prometheus’s business philosophy: free macro research, paid implementation through model portfolios. "labor markets are the center of the universe when it comes to macro." — Ahan Mennon: Used to explain why weakening employment should eventually dominate the strong GDP narrative. "Alpha lives in being able to adjust your positions relative to your expected path." — Ahan Mennon: He explains why long-term forecasts alone do not produce strong trading results.

Implications: Listeners should expect a more cautious macro regime: less reward for broad beta, more opportunity in relative value, timing, and defensive overlays. The interview argues that investors should prioritize implementable portfolios over macro narratives.