We need more capitalists, not necessarily more capitalism

Davos discussions and recent data point to a concentration of venture activity in AI—about 70% of 2025 venture dollars went to AI companies—while the closing months of 2025 recorded the fewest individual venture deals in 20 quarters, raising concerns about declining entrepreneurial dynamism. Long‑term economic mobility has fallen (in 1940 ~90% of children outearned parents vs ~50% of millennials), wealth concentration is acute (the top 1% had 15x the combined wealth of the bottom 50% in 2021 and holds ~one‑third of assets), and only ~18% of U.S. employees have an ownership stake; firms adopting broader employee ownership (KKR’s CHI sale paid average workers ~$175,000; Publix shows materially higher customer trust and purchase likelihood) are cited as a corrective path alongside policy proposals (expanded ESOPs/Employee Ownership Trusts, retirement access, and child “Trump Bonds”).

Analysis

Market structure: Winners are firms that pair capital with broad-based employee ownership and enterprise AI adopters—public PE/asset managers (KKR), integrated payments platforms with scale (PYPL), and large consumer staples/benefit-corp brands (UL). Losers are early-stage startups and narrow AI playmakers that rely on fresh VC pipelines; fewer deals (concentration of ~70% of 2025 VC dollars into AI) implies reduced supply of new entrants and increased pricing power for foundational-model vendors and scaled integrators.

Risk assessment: Tail risks include rapid AI regulation or antitrust actions (10–25% 12-month probability) that hit foundational-model valuations, and private-market illiquidity if exits slow (raises hold-periods by 1–3 years). Immediate (0–30 days) moves will be sentiment-driven; 3–12 months will reflect policy/earnings; structural effects will play out over 3–5 years. Hidden dependency: ESOP/employee-ownership upside collapses if public equities fall — worker incentives amplify market beta.

Trade implications: Prefer selective exposure to KKR (private-market arbitrage) and defensives like UL while trimming pure-play AI concentration. Use modest option structures to express asymmetric views (low-cost call spreads on PYPL; protective puts on KKR). Rotate 3–5% from mega-cap AI concentration into Financials (asset managers/PE), Consumer Staples, and Industrials that can commercialize AI in operations over 12–24 months.

Contrarian angles: Consensus underestimates how employee ownership can convert into 3–7% margin improvement over 2–3 years via lower turnover and productivity gains; markets may be underpricing private-equity tailwinds from fewer IPOs. Historical parallel: post-concentration eras (late-1990s tech) eventually broadened into industrial and services beneficiaries; a mispriced opportunity exists in owners/operators (KKR, legacy consumer names) versus foundational-model-only players. Unintended risk: broader ESOP adoption increases household exposure to equity drawdowns, raising systemic tail risk.

Key Decisions for Investors

• Establish a 2–3% long position in KKR (KKR) with a 12–24 month horizon; hedge with a 1-year 15% OTM put sized to 25–30% of the position to cap drawdown while retaining upside from private-market repricing.
• Initiate a 1–2% position in PYPL via a 6–9 month call spread (buy 10–15% OTM call, sell 25–30% OTM call) to capture operational upside from improved retention/pay programs while limiting premium outlay; size for portfolio theta tolerance.
• Reduce mega-cap AI concentration by 3–5% (e.g., trim NVDA/QQQ exposure) and redeploy into UL (UN/UL) 2–3% and an industrials ETF (e.g., XLI) 1–2% to play broadening AI adoption in manufacturing/logistics over 12–36 months.
• If an AI regulatory/antitrust draft emerges (SEC/FTC/EU release or US Congressional bill enters markup) within the next 90 days, cut AI-concentrated allocations by an incremental 3% and rotate into PE/ESG leaders; act within 7 trading days of publication.