In 2026, artificial intelligence can draft emails, summarize meetings, write code, and create caricatures, yet it still falls short in several key areas. Large language models often hallucinate, presenting fabricated facts with confidence. They struggle with simple counting tasks, lack the lived experience needed for therapy, cannot update knowledge in real time, and remain unable to truly understand human nuance. Recognizing these boundaries helps users apply AI tools responsibly and avoid costly mistakes. Read more →