Parallel Processing
“Parallel Processing” – a cartoon that illustrates the different use cases for some of the popular AI chatbots.
The global chatbot market is forecast to rise from $5BN in 2023 to $15BN in 2023, driven by the rise of generative AI models that improve a chatbot’s natural language processing (NLP) capabilities.
These improvements have resulted in a better understanding of the human language and learned behavior with each interaction to create more personalized recommendations.
At a high-level the market is split into general purpose chatbots (e.g. ChatGPT, Bard, Bing) and task or vertical specific chatbots (e.g. GitHub Copilot, Jenni AI).
The general purpose chatbots are trying to replace Google search as the starting place for querying the web.
Most recently, ChatGPT enabled AI voice options to hear the chatbot responding to voice prompts and image analysis capabilities to allow consumers to interpret visuals.
Task specific chatbots are moving towards helping users complete activities, rather than be just informative.
For example, Github Copilot learns from the coding style of a developer and uses a library of templates to write code itself.
The evolution of AI chatbots has the potential to change the landscape as we know it today, as Bill Gates mentioned, “a decade from now, we won’t think of businesses as separate, because the AI will know you so well that when you’re buying gifts or planning trips, it won’t care if Amazon has the best price, if someone else has a better price — you won’t even need to think about it.”
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