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Most people think chatbots are the future. But here's what nobody tells you - most of them crash and burn before they even get started. I've been watching this space for years, and the pattern is always the same. Companies rush to build these AI assistants, dump tons of money into development, and then wonder why users abandon them after the first conversation. The truth? It's not about the technology. Sure, everyone talks about how smart AI has become. ChatGPT can write essays, Google Bard can search the web, and new models pop up every week promising to change everything. But being smart doesn't mean being useful. Here's what I discovered after looking at hundreds of failed chatbot projects: The real problem isn't technical. It's human. Most chatbots fail because they solve the wrong problem. They focus on what the AI can do instead of what people actually need. It's like building a race car when people just want to get to work. In this video, I break down the three main reasons why chatbots fail - and why the successful ones work. You'll see examples of companies that got it right and others that wasted millions getting it wrong. I'll show you: The biggest mistake companies make when building chatbots Why being "too smart" can actually hurt your AI assistant The simple test that predicts if a chatbot will succeed or fail Real examples of chatbots that work (and why they're different) This isn't another video about how amazing AI is. This is about the gap between what AI can do and what actually helps people. That gap is where most chatbots die. If you're thinking about building a chatbot, using one for your business, or just curious about why some AI tools stick around while others disappear, this video will change how you think about artificial intelligence. The answer might surprise you. It's not about making AI more human - it's about making it more helpful. Hashtags #chatbots #artificialintelligence #ai #chatgpt #technology #business #automation #digitalmarketing #innovationshowcase #machinelearning