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News » AI impact on jobs limited to simple tasks, says billionaire Mark Cuban

AI impact on jobs limited to simple tasks, says billionaire Mark Cuban

NEW YORK, UNITED STATES — Artificial intelligence may not be as threatening to complex jobs as initially feared, according to billionaire entrepreneur Mark Cuban. 

Speaking on “The Weekly Show with John Stewart,” Cuban emphasized that AI’s impact will primarily affect positions involving basic decision-making processes.

Human oversight essential in AI implementation

Cuban, who leads Cost Plus Drugs, stressed the importance of human supervision in AI systems. Workers must validate both the training data and output accuracy, requiring experienced professionals who understand the objectives. 

“You don’t just assume the model knows everything. You want somebody to check — to grade their responses — and make corrections,” Cuban explained.

Industry research and projections

Recent studies present varying viewpoints on AI’s workforce impact. The World Economic Forum anticipates significant disruption, with 44% of workers’ skills potentially requiring updates within five years. However, McKinsey’s research suggests a more optimistic outlook for white-collar professions, indicating that AI could enhance rather than replace these roles, affecting approximately 30% of worked hours in the U.S.

Cuban maintains that AI’s influence on workforce numbers will vary significantly among organizations. “Every company is different,” he noted, emphasizing that successful AI implementation will be the key factor in determining its impact on employment.

Cuban expressed confidence that AI will not significantly disrupt jobs that necessitate critical thinking and decision-making beyond mere binary choices.

“So if your job is answering the question, ‘yes or no,’ all the time — AI is going to have an impact,” Cuban explained. “If your job requires you to think — AI won’t have much of an impact.”

The technology’s integration into the workplace appears more nuanced than initially predicted, with roles requiring complex thinking and decision-making likely to remain secure. 

As companies navigate this technological transition, the focus shifts to effective implementation rather than wholesale replacement of human workers.

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