For years, AI chatbots have served as text-based assistants, providing users with answers, step-by-step instructions, and troubleshooting tips whenever they encounter difficulties. While this has greatly improved accessibility to knowledge, textual instructions often fall short when users need to perform complex tasks inside software applications such as Oracle NetSuite, ERP systems, or even specialized tools like Photoshop. Reading through instructions and then mentally mapping them onto an interface can feel slow, confusing, and error-prone, especially for new learners. To address this limitation, the future of AI chatbots is shifting toward a more immersive and trainer-like approach where the chatbot does not just tell the user what to do but instead shows them through dynamically generated video demonstrations that replicate the actual system interface.
This vision reimagines the chatbot as a virtual tutor capable of creating a live-like screen recording of the task at hand. For instance, instead of simply saying “Go to Transactions > Purchases > Enter Purchase Orders,” (in the case of Oracle NetSuite) the chatbot could generate a video showing the NetSuite menu, highlighting the correct options, and filling in the fields step by step until the record is saved. The key difference from current training videos is that these demonstrations would not be pre-recorded or pulled from external libraries. Instead, they would be unique, generated in real time, and tailored precisely to the user’s query. If one employee asks about creating a vendor bill and another asks about generating a sales report, each would receive a fresh and context-specific video walkthrough.
The benefits of such a transformation are significant. By replacing text with video demonstrations, the learning curve for new users could be drastically reduced, since they would be able to watch and follow along without ambiguity. This approach would also create a personalized training experience, with AI tailoring each video to the exact scenario at hand rather than relying on generalized documentation. Errors that often arise when users misinterpret text instructions would be minimized, as the video shows exactly where to click and what to enter. At the same time, organizations would save countless hours that are typically invested in producing static training videos, updating documentation, and hosting repetitive training sessions. The chatbot, available on demand, would essentially function as a trainer that never tires, ready to guide employees or customers at any moment.
The potential use cases for AI-generated video demonstrations extend well beyond NetSuite or ERP platforms. In IT support, for example, users could receive video walkthroughs on how to install or configure software, troubleshoot network settings, or manage user accounts. For employee onboarding, instead of scheduling formal training sessions, companies could allow new hires to query the chatbot and instantly receive demo videos on how to use internal systems. In customer-facing scenarios, businesses could embed such chatbots into their portals, allowing customers to learn how to use products through videos generated specifically in response to their questions. Even in everyday life, users might query the AI on tasks like building a spreadsheet formula, applying design tools in Photoshop, or even performing physical world processes such as assembling equipment, and the AI could simulate a visual demonstration for them.
Looking further into the future, this vision could evolve beyond static video playback into interactive simulations. Imagine a scenario where the chatbot not only generates a demonstration but allows the user to click along in a safe, simulated environment that mirrors the real interface. This would provide the best of both worlds: training through demonstration combined with hands-on practice. Additionally, AI-driven video trainers could automatically localize content by adding narration and captions in multiple languages, ensuring accessibility across global organizations. Over time, knowledge bases themselves could transform, combining text documentation with embedded chatbot-driven video demos that generate fresh and personalized walkthroughs every time an article is opened.
In conclusion, the future of AI chatbots lies not in providing more text but in delivering an immersive, visual, and interactive learning experience. By generating realistic and on-demand video demonstrations that replicate actual interfaces, chatbots can evolve into virtual trainers capable of guiding users across any platform or process. This shift will not only simplify how individuals learn to use software but also transform organizational training, IT support, customer education, and everyday problem-solving. The path ahead is one where AI helpers become less like static documentation and more like dynamic mentors, making learning faster, easier, and far more engaging.