Antonio Gracias says he’s longing for ‘proentropic’ startups — those that are built to survive chaos

Antonio Gracias, founder of Valor Equity Partners, coined the term "proentropic" at the Upfront Summit to describe startups built to thrive amid chaos and disruption. He framed this thesis around deglobalization, climate and geopolitical volatility and technology (citing SpaceX and Tesla), arguing AI and improving low-code/no-code tools will expand startup formation and productivity over the next 5–10 years.

Analysis

Companies engineered to be “proentropic” are effectively selling optionality: organizational structures, modular supply chains, and product architectures that convert rare-edge disruptions into positive idiosyncratic outcomes. That design produces asymmetry — higher realized volatility but greater convexity — so portfolio construction should shift from cap-weighted exposure to idiosyncratic-convex bets where downside is fungible and upside is nonlinear.

Near-term (0–24 months) the clearest second-order effect is a re-allocation of margin risk away from cheap offshore labor toward capital-intensive automation, semiconductor tooling, and flexible contract manufacturing. Expect gross margin volatility to compress for firms that can retool lines in <6 months and increase for those locked into long lead-time suppliers; this will lift multiples for modular CMOs and equipment vendors while compressing multiples for legacy tier-2 suppliers.

For TSLA-like exposures the premium is two-fold: proprietary data + hardware-software integration yield defensible feature lead and faster time-to-market for monetizable services. Countervailing risks arise as low-code/no-code toolchains lower software-entry barriers for non-traditional competitors and as resource geopolitics (battery metals, chips) create 12–36 month episodic shocks that can shave several hundred basis points from margins.

The market consensus underestimates dispersion and the migration of alpha into private markets and bespoke hardware suppliers; public markets will face rising idiosyncratic drawdowns, increasing the value of active selection, option structures, and paired trades that capture capture convexity while capping left-tail exposure.

Key Decisions for Investors

• Long TSLA equity (size 1.5% NAV) over 1–12 months with a protective 6–9 month put (cost-funded up to 30% of position). R/R: asymmetric upside if software monetization and vertical integration translate to ~20–40% EBITDA lift over 12–24 months; left-tail capped by the put, limiting downside to ~20–30%.
• Paired trade: Long TSLA / Short GM (1:1 notional) for 6–12 months to isolate software/OTA monetization vs legacy OEM execution; target 30–50% relative outperformance and hedge cyclical auto demand risk. Trim on 20% absolute TSLA move or if macro auto sales contract >10% quarter-over-quarter.
• Play supply-chain winners: initiate long positions in semiconductor equipment & automation (e.g., ASML, LRCX, AMAT) sized across portfolio 2–3% NAV with 6–24 month horizon. R/R: high cyclicality but >2x leverage to capex recovery; stop-loss on 25% drawdown or if capex guidance falls >15% sequentially.
• Increase selective private/secondary allocation to ‘proentropic’ hardware+AI startups (target 3–5% NAV, lock 3–7 years). Rationale: valuation dispersion and concentration of convex upside in private markets; liquidity risk is offset by higher IRR potential — expect winners to return 3–10x on conviction hits.