AI Strategy May Be Undermining Exit Value
While many boards and founders view AI as a valuation enhancer, a strategic adviser warns that it can also destroy company value and complicate acquisitions. This is due to increased complexity, vendor dependencies, and security risks.
The rapid integration of artificial intelligence (AI) into business operations, often seen as a path to enhanced valuation and future-proofing, may paradoxically diminish a company's exit value, according to strategic adviser Itay Sagie. While AI can accelerate product development, it introduces complexities that can concern potential acquirers.
From a buyer's perspective, the extensive use of AI tools, models, and third-party integrations can create a complicated architecture. Due diligence questions focus on how AI is implemented, vendor dependencies, data flows, and the potential impact of external changes like pricing shifts or regulatory adjustments. What founders see as innovation, buyers might interpret as integration complexity, compliance exposure, and security risks.
Furthermore, many AI features are becoming easily replicable. Acquirers are less likely to pay a premium for standard AI functionalities and more inclined to value proprietary datasets, unique customer workflows, strong distribution channels, or network effects that are difficult to build independently. The key question for founders is whether their AI strategy is creating a defensible asset or merely adding copyable features.
AI is also redrawing strategic boundaries and altering the landscape of potential acquirers. Companies are expanding into adjacent markets, meaning traditional buyer maps are becoming outdated. CEOs must revisit their buyer strategy every six to 12 months, as the most logical acquirer today might differ significantly from a year prior.