Source: AI Strategy in the Enterprise — PolyU DBAI course material
AI Theater is my favourite term from this entire course. It describes perfectly something I’ve observed repeatedly in organisations: the deployment of AI initiatives that generate enthusiasm, produce demonstrations, attract attention in internal presentations — and fail to create measurable value. The performance of transformation without the substance.
The Enterprise AI Strategy framework identifies three things that separate AI Theater from genuine transformation. First, value definition: you have to anchor AI investment to one of three actual business levers — cost compression, capability expansion, or increased customer willingness-to-pay. “AI-enabled” as a goal is not sufficient.
Second, ownership architecture. The trap: treating AI as “everyone’s responsibility,” which in practice means no one is accountable when it doesn’t work. Diffuse ownership is perhaps the most reliable predictor of a pilot that never scales.
Third, the disintermediation risk that most executives are underweighting: AI agents are increasingly mediating how customers discover, compare, and purchase products. The search rankings and app ecosystems that companies have spent years optimising are becoming less relevant as AI agents make recommendations on behalf of users. A company whose entire customer acquisition runs through Google organic search is structurally exposed to this shift in ways they may not yet understand.