The Janky Reality of AI on the Web: What Users Need to Know

Generative AI is increasingly embedded into everyday digital tasks, from web search to online shopping, yet it still struggles with reliability. Despite its rapid adoption—92% of Fortune 500 companies use OpenAI products—persistent issues like incorrect dates, math errors, and misleading AI-generated content continue to disrupt user experience and trust.

This matters because as AI becomes more integral to critical sectors such as education, government, and healthcare, the stakes of these inaccuracies rise dramatically. For example, when ChatGPT went down recently, students and professionals were left stranded, showing how dependent we have become on this flawed technology. Understanding these limitations is vital for users and organizations aiming to leverage AI effectively while ensuring human verification and caution.

This could reshape how companies implement AI, pushing for higher standards of accountability and smarter integration strategies that balance AI’s capabilities with its current weaknesses.