While AI integration is often seen as a valuation booster, tech strategic adviser Itay Sagie argues it can reduce exit value. Startups rapidly adding AI copilots, model integrations, and third-party tools risk creating complex architectures that deter acquirers. During due diligence, buyers scrutinize AI usage, vendor dependencies, and data flows. If AI complicates integration or exposes compliance risks, it may lower the acquisition price.

Sagie emphasizes investing in proprietary data and unique workflows that competitors cannot easily replicate. Features like summarization or chat interfaces are increasingly commoditized. Strategic acquirers pay premiums for defensible assets—datasets, distribution, and network effects—not for trendy AI features.

AI is also reshaping traditional buyer maps. Companies are expanding into adjacent markets, making past exit strategies obsolete. CEOs should revisit their buyer map every six to twelve months. The most logical acquirer today may differ significantly from one year ago.

Sagie is a strategic adviser to tech companies, investors, and boards, specializing in strategy, growth, and M&A. He contributes to Crunchbase News and lectures on strategy and entrepreneurship.