Continuous Learning with Jeff Gothelf

Your AI “Strategy” Is a Roadmap in Disguise

The post argues that most enterprises mistake an AI roadmap for an AI strategy, locking teams into static assumptions that quickly become obsolete. True strategy should be framed as a portfolio of testable hypotheses, committing to outcomes rather than predefined features. AI amplifies this problem by enabling faster, cheaper production of misaligned work, but it can also serve as an upstream thinking partner if used to surface assumptions and generate alternative hypotheses. Shifting to hypothesis‑driven planning lets organizations learn faster and align AI investments with real customer value.