AI agents are rapidly evolving into the primary decision-makers for enterprise software, fundamentally disrupting traditional SaaS models and rendering many legacy systems of record obsolete. This shift forces foundation model companies into a high-stakes capital game, where massive investments in compute must be made years in advance of revenue, creating significant risk if models underperform. Meanwhile, the venture capital exit funnel is narrowing, as the traditional "sell to PE" route becomes less viable for companies lacking a clear AI-first strategy. Consequently, investors are pivoting toward a "fewer but bigger" winner strategy, prioritizing companies capable of reaching massive scale. Private equity firms, once seen as a safe harbor, now face potential losses on overpaid, debt-laden software assets that lack the agility to integrate AI, signaling a broader, painful rationalization across the enterprise software landscape.
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