Golden Cage: Paradox of Early Funding and Growth
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Moon-978155856-Master-CEE-2026-thesis.pdf
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4.08 MB
Format
Adobe PDF
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59e81f133945a45f32aaf066e0596309
Author(s)
Moon, Angie H.
Advisor(s)
Fine, Charles H.
Stern, Scott
Date Issued
February 2026
Publisher
Massachusetts Institute of Technology
Abstract
Flexibility predicts startup growth, yet the funding that enables growth systematically suppresses flexibility. The mechanism is belief-based sorting. When founders commit to specific strategies, investors who share those beliefs fund; skeptics self-select out. The resulting board lacks cognitive diversity to advocate pivots. I formalize this phenomena as golden cage theory: founders cannot reposition because governance lacks advocates for alternatives.
Analyzing 168,011 U.S. ventures, I establish three empirical regularities. First, early funding predicts less repositioning. Second, repositioning predicts success. Third, the early funding and growth correlation varies systematically by industry: negative where dominant designs constrain exploration (e.g. Hardware and Mobility), neutral or positive where uncertainty releases the cage (Software and Quantum).
Three contributions emerge. Empirically, the funding-growth paradox holds as a robust regularity across 168,011 ventures. Theoretically, belief-based sorting in governance explains why commitment and flexibility trade off. Prescriptively, founders can balance commitment and flexibility with the 3S framework: Scope (commit to thesis, not architecture—moderate breadth outperforms both extremes), Sequencing (stage capital from non-dilutive to thesis driven VC, delaying governance lock-in until market signals clarify), and Synchronization (match capability investment to market validation, avoiding the traps of over-building or over-promising).
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
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