We are now at the beginning of the AI platform revolution.
But where are the disruptive business applications?
Well, despite the significant advances in LLMs and massive investments in AI infrastructure, we’re still waiting for the disruptive business applications that helped define past platform shifts, to materialize in the world of AI.
Today’s AI tools function largely as chatbots or copilots, sitting alongside existing applications but not fully transforming workflows or unlocking AI’s potential for deep, actionable insights and recommendations across systems. Sure, they add a layer of intelligence, but they stop short of delivering the game-changing productivity gains we know AI can offer. And while the potential for AI to streamline this complexity and synthesize vast amounts of data is enormous—it remains locked behind a technical barrier that few can cross. Data is often siloed, formats vary, and workflows require intricate configurations or custom scripting that demand a level of technical skill and time commitment beyond most users.
Enter Total Neural Enterprise (TNE.ai for short) with three critical lessons that will bring you success in the AI environment.