Amoroso On Private Markets, AI And What To Watch Next

The piece discusses the key forces reshaping investment opportunities, citing the AI boom and technology leadership alongside shifting interest rates and persistent inflation. It frames alternatives/private markets as an increasingly important component of modern portfolios but does not provide specific figures, forecasts, or policy actions. Overall, it is a high-level market outlook rather than a catalyst likely to move prices materially.

Analysis

The market implication is less “AI is bullish” than “AI is increasingly a capital-allocation regime.” The first-order winners remain the same concentrated set of platform owners and semiconductor suppliers, but the second-order beneficiaries are the picks-and-shovels around power, cooling, networking, and data-center buildout, where revenue visibility can improve even if end-demand slows. The losers are the broad software cohort and non-AI tech names that trade on duration rather than current cash flow; in a higher-rate world, any AI story without near-term monetization is vulnerable to multiple compression.

Rates are still the key hidden variable. If inflation stays sticky, the market continues to reward cash-generative megacap tech while punishing unprofitable growth and small caps, because funding costs and exit multiples both remain constrained. That creates a structural headwind for venture-backed/private-market assets: the public marks may look stable, but the real pressure shows up in slower distributions, weaker secondary pricing, and more selective late-stage financing.

The contrarian risk is that consensus is extrapolating AI capex growth faster than eventual ROI. If hyperscaler spending pauses, the whole ecosystem can de-rate quickly because the supply chain is being valued on forward orders rather than current earnings. The cleanest falsifier for the bull case is a sequential deceleration in AI capex commentary or a hotter inflation print that pushes rate-cut expectations out by another quarter; either would likely hit long-duration tech first and the private-markets backdrop second.

Key Decisions for Investors

• Trade the dispersion: long SMH / short IWM over the next 1-3 months. Rationale: AI-led capex and balance-sheet quality should keep semiconductor leadership intact while small caps remain most exposed to higher-for-longer funding costs. Stop if rate-cut expectations reprice materially earlier or if IWM outperforms SMH by >5% on a sustained basis.
• Maintain an underweight to ARKK and other unprofitable-growth proxies versus XLK/QQQ. The risk/reward favors profitable mega-cap tech over long-duration venture-style equities until real yields roll over; reassess after the next CPI/Fed cycle or if breadth broadens meaningfully.
• Watch-list long infrastructure/power beneficiaries tied to data-center demand, but only on pullbacks: ETN, CEG, VST. This is a 6-18 month thematic trade, not a headline trade; it works only if AI capex remains elevated and power constraints persist.
• Treat private-market exposure cautiously: favor secondary-liquidity and credit-oriented managers over direct late-stage VC exposure. The opportunity is in buying illiquidity discounts, not chasing new primary valuations. Confirm with deal flow and markdown cadence before adding risk.
• If an earnings season shows AI monetization lagging capex growth, use that as a short catalyst on the highest-duration software names rather than the semiconductor complex. The market is more likely to punish revenue-quality disappointment than raw spend growth.