Purpose This follow-up series of columns aims to examines how the author’s original predictions have evolved where they were right, where they were surprised and what new insights have emerged from two years of rapid artificial intelligence (AI) development. Design/methodology/approach Themes from the previous column were examined against new facts to identify and refine a framework for helping to navigate the future of AI. Claude Sonnet 4 was used to help with copy-editing. Findings The column reinforces several crucial points. First, understanding how these systems create experiences that feel intelligent, authoritative and engaging even when they are none of these things becomes more critical as these systems become more compelling and ubiquitous. Second, a role in helping users navigate this landscape while maintaining critical thinking about sources and authority is not diminishing, but becoming more essential, even if it is increasingly challenging to see how users understand this value is ensured. Finally, the need for scenario planning and flexible thinking about AI’s future applications has only grown as the technology’s unpredictability has been repeatedly demonstrated. Originality/value Assist information professionals in understanding developments in AI after having the author’s initial framework tested by time.
Peter Fernández (Tue,) studied this question.