Success Tax: Why Enterprise AI Must Be Measured By Unit Economics

Article excerpt

As artificial intelligence moves from experimental pilots into core business operations, companies need to stop obsessing over technical metrics and start measuring what actually matters: unit economics. The article argues that leadership teams have grown too focused on AI's performance in controlled settings, losing sight of the real question, whether the technology delivers profitable returns on investment. This shift in thinking, called the "success tax," reflects a maturing market where companies can no longer afford to fund AI projects that impress engineers but drain resources. The piece suggests enterprises must demand rigorous financial accountability from their AI initiatives, treating them like any other capital investment.