AI has been well supported by government research and development dollars for decades now, and people are beginning to ask hard questions: What really works? What doesn't work as advertised? What isn't likely to work? This article holds a mirror up to the community, both to provide feedback and stimulate more self-assessment.

AI has been well supported by government research and development dollars for decades now, and people are beginning to ask hard questions: What really works? What are the limits? What doesn't work as advertised? What isn't likely to work? What isn't affordable? This article holds a mirror up to the community, both to provide feedback and stimulate more self-assessment. The significant accomplishments and strengths of the field are highlighted. The research agenda, strategy, and heuristics are reviewed, and a change of course is recommend-ed to improve the field's ability to produce reusable and interoperable components.