2 days ago
- The author criticizes the excessive hype around AI, labeling it 'AI Confidence Theater' that causes more harm than good.
- Many claimed 'life-changing' AI use cases are actually basic workflows, and true transformative applications are rare.
- This hype distorts reality, hurts innovation, and leads to toxic comparisons where people feel demoralized and behind.
- It complicates hiring, as AI makes people sound competent without real expertise, requiring more rigorous vetting.
- Reasons for the hype include social media rewards for exaggeration, the rapid evolution of AI, and corporate pressure to oversell.
- The author calls for honesty: stop spreading hype, set realistic expectations, and focus on tangible outcomes and continuous learning.
- AI systems require ongoing maintenance and monitoring; their real value comes from sustained effort, not magical promises.