The article discusses the future of enterprise AI, emphasizing that its success lies not in its use but in how it transforms a company. The author argues that the failure of enterprise AI isn’t due to a lack of enthusiasm, adoption, or model capability, but rather its architecture. Large language models (LLMs) are primarily designed for text prediction and are not equipped to manage the complexities of running a company, which relies on memory, context, feedback, and constraints. The article suggests that for AI to truly benefit enterprises, it must evolve beyond its current capabilities and integrate more deeply into the operational fabric of businesses.
QUESTION: How might the integration of AI into the core operations of companies change the way businesses function in the future?
When enterprise AI finally works, it won’t look like AI
