American billionaire Mark Cuban says AI has fundamental problem and expertise is still valuable because …

Billionaire investor Mark Cuban has a warning for the corporate world, and specifically those who have a view that AI will become an all-powerful entity that takes over the world: Your AI is only as good as the person checking its work. In a recent comment on social media platform X about the state of Enterprise AI, Cuban argued that the technology’s greatest weakness is its lack of consistency, which makes deep industry expertise more valuable than ever.Cuban said that AI models are currently incapable of providing the same answer to the same question every time. Unlike traditional software, which follows a rigid logic, Large Language Models (LLMs) produce answers that are based on probability theory. They essentially ‘guess’ the next word or action, which can lead to different results in every session, the Shark Tank star said.“I’m coming to the conclusion that the biggest challenge for Enterprise AI, and AI in general , as of now, is that it’s still impossible to make sure that everyone gets the same answer to the same question, every time,” Cuban noted, noting that for businesses that rely on precision, this ‘unreliability’ is a massive liability.Cuban also used this technical limitation to address the “AI Doomers” – critics who fear that AI is on a fast track to gaining consciousness and taking over the world. He said that if an AI doesn't understand that its output should be consistent, it certainly doesn't understand the real-world consequences of what it's saying.“[This] is a great response to the doomers. AI doesn’t know the consequences of its output. Judgement and the ability to challenge AI output is becoming increasingly necessary, and valuable,” he added Cuban threw his weight behind those who have domain knowledge – deep, specialised expertise in a specific field.“Which makes domain knowledge more valuable by the second,” he added.Google CEO Sundar Pichai and Uber CEO Dara Khosrowshahi, in their companies’ respective earnings calls, backed AI-generated code. Pichai said that the company generates about 75% of codes by AI models but they are approved by human engineers.“We've been using AI to generate code internally at Google for a while. Today, 75% of all new code at Google is now AI-generated and approved by engineers, up from 50% last fall,” Pichai said in a blog post, adding, “Every line of that code is reviewed and approved by engineers.” Khosrowshahi said that about 10% of code is written by AI but it is approved by engineers.