According to @godofprompt, context engineering is fundamental in AI, particularly for prompt design and optimizing large language model outputs (source: https://twitter.com/godofprompt/status/2005342293705081244). AI industry leaders increasingly recognize that carefully crafting context—such as user intent, domain-specific data, and interaction history—dramatically improves model accuracy and relevance. This trend is driving new business opportunities in AI consulting, enterprise automation, and custom language model development, as organizations seek experts to engineer contextual cues that deliver superior results and competitive advantage.