What to do when everyone integrates Generative AI?

Three years from today, everyone will integrate generative AI. At that point, will every user interface have a conversational AI? How will the companies protect their defensibility while maintaining a unique User Experience and interface for the customers? If everyone adopts it, you won't be unique anymore. In that case, the question becomes "HOW" to adopt it.

Conversational AI has the potential to revolutionize User Experience, allowing users to navigate websites and applications through intuitive Q&A formats and a chain of thought messaging. This enables users to find the information they need quickly, streamlining their interactions with the platform. However, with the widespread adoption of conversational AI, a company's unique dataset and UX design will become the main differentiators in setting it apart from competitors. In this new landscape, businesses must focus on leveraging their data and crafting an exceptional UX to maintain a competitive edge.

While conversational AI can offer a significant improvement to UX, it is essential to evaluate whether it is the best fit for a specific application. Businesses should consider factors such as the complexity of user interactions, the target audience, and the nature of their services before deciding to implement conversational AI.

With conversational AI becoming increasingly accessible and open-sourced, companies may struggle to maintain their uniqueness as competitors also adopt these technologies. To stand out, businesses need to invest in developing tailored conversational AI systems that are fine-tuned to their specific industry or customer base. By creating AI models that understand and cater to their audience's unique needs, companies can offer a more personalized and engaging UX that sets them apart.

Aside from the application being unique, there are also risks related to identity. How do we track down a person who spins off many different AGIs fine-tuned to behave differently, either malicious or proactively constructive? At that point, for every application you interact with, you will communicate with an AGI. As technology becomes the intermediary between human-to-human communication, AI systems mentor and advise people on many different topics, e.g., you can use ChatGPT for advice before an interview or a meeting with a friend. As your communication and execution of tasks are augmented with AI, it will be critical to adding behavioral control mechanisms to the AGI so that it won't start "hallucinating". As AI generates both receiver and senders' responses, you may find that human-to-human communication is actually fully penetrated by AI, which for the good or the worse, can bend the perception of thoughts an individual may have. While it's good to be positive, it's important to be skeptical as well so that the guardrails are well-defined for the benefit of the societies.

In a recent Ted Talk, Sal Khan demonstrated the student and teacher GPT. StudentGPT will help the student find the answer instead of just giving it. And teacherGPT will help the teacher communicate and guide the student to the answer. In theory, this sounds great. However, both audiences can just open ChatGPT and collect the answer. As the space develops, we will have to figure out the art of possible.

Masters of Automation