The article discusses the challenges of achieving a human-like conversational AI experience, focusing on technical and data obstacles. It highlights the need for better transcription speed and accuracy optimization, improved NLP and NLU, enhanced text-to-speech engines, and tighter integrations between various components of the workflow. The article also emphasizes the lack of training data as a significant challenge in creating voicebots for all languages, accents, dialects, and use cases. It concludes by stating that although there is no easy button to create a perfect overall Conversational AI voicebot, single-use case voicebots are currently available, with experts predicting a big evolution in this space within the next two to three years.