SINGAPORE - Recent artificial intelligence (AI) innovations such as ChatGPT have caught a lot of attention, not just from individual users and developers, but also from several well-known enterprises.

Microsoft is already embedding several OpenAI tools in its workforce productivity suite, while knowledge-based firms in many fields - including the legal, research, and content writing areas - are revisiting their future personnel requirements with the advent of technologies that automate mundane tasks.

Many of our clients here at Kearney have recently asked us to train their leadership on the use of ChatGPT to visualize the most relevant use cases in their fields and contexts. One of the key questions prevalent in these sessions is whether or not ChatGPT can act as a silver bullet, and if it can solve complex processes end to end or if it is just one piece of a larger puzzle.

With this in mind, here are five AI trends - and risks in the end - that should give a more comprehensive picture of this seminal technology, even as its use cases grow.

1. Democratization of AI and automation

AI is no longer just a tool for data scientists. Advancements in and increasing access to ‘low-code’ and ‘no-code’ platforms with intuitive interfaces, pre-built algorithms, and high-performance cloud computing platforms have completely revolutionized companies’ digital transformation journeys by expanding automation use cases across the value chain.

Several ChatGPT and OpenAI plug-ins will continue to appear in tools for sales teams, customer care agents, and field forces, among others. Service providers like Zoho Creator and Appian already provide simple plug-and-play tools that help businesses without expertise in AI or data science automate analytics or business management processes.