Cuban said the 'next great AI application' will train workers like pilots, using simulations built by senior staff. The view signals a shift in how enterprise AI creates value.
Alpha Score of 66 reflects moderate overall profile with strong momentum, weak value, strong quality, strong sentiment.
Mark Cuban thinks the next big AI application will be a job simulator. Workers will train much like pilots and race car drivers, he said.
Cuban laid out the reasoning on X. Employees will have fewer "touch points" inside a company to learn from. "That's where judgement has historically come from," he wrote. The fix, he argued, is a simulator built by the company's most knowledgeable people. A junior lawyer could run through depositions and settlement negotiations. A trainee doctor could practice virtual surgeries.
The comment sits inside a broader argument Cuban has made this week. AI is powerful but falls short on emotional intelligence and "reading the room." It works best paired with human judgment, he said. "Add AI productivity to the real time capacity and judgement of humans, and you will get the greatest return on both investments."
Cuban's simulator thesis shifts the conversation for investors watching the enterprise AI market. The value of AI inside a company is not just automation. It is institutional memory and training. If companies like Apple (AAPL) adopt tools that let senior staff encode their knowledge into simulators, the return on AI spending widens.
"Smart companies will have their employees and stakeholders with the most domain knowledge create the simulator that takes them through every possible situation they could face," Cuban wrote. "Onboarding will have a completely different meaning."
Drafted by a large language model from the source reporting linked above, then screened by automated publishing checks. It is not read by a journalist before publication. Some articles cite our Alpha Score. Verify prices and figures against the original source. Educational coverage, not personalized advice.