Mark Cuban Says AI Won't Take Your Job—But People Who Use It Better Might
LinkedIn estimates that over 750,000 US jobs with an AI connection have been added since 2023

Mark Cuban says artificial intelligence may not be the biggest threat to workers, but the person sitting next to them who knows how to use it better could be. In an X post, the billionaire investor warned: 'AI won't take your job. Someone who knows how to use AI better than you, will take your job.'
The warning comes as AI was cited in more than 120,000 announced US job cuts this year, while the technology is simultaneously driving demand for hundreds of thousands of new AI-related roles. That contradiction is becoming central to the debate over whether AI will ultimately destroy jobs or change which skills employers value most.
AI won’t take your job. Someone who knows how to use AI better than you, will take your job. https://t.co/lYn2TGQkbr
— Mark Cuban (@mcuban) October 4, 2026
Cuban Says AI Skills Could Decide Who Keeps Their Job
Cuban's message is not that AI cannot eliminate jobs. Instead, his warning shifts the focus towards competition between workers.
Recent Gallup data partly supports that argument. Among laid-off US workers surveyed in Q1, 62% said they used AI once a year or less, compared with 50% of workers who remained employed. Only 1% of laid-off workers said AI was the primary reason they lost their jobs.
The difference was particularly striking in technology. Gallup found that tech workers using AI less than monthly faced roughly three times the layoff rate of tech workers using AI at least monthly.
That does not prove that failing to use AI caused those workers to lose their jobs. Gallup itself cautions that the relationship should not be interpreted as direct causation. However, the figures suggest AI adoption may increasingly be associated with workplace competitiveness.
AI Is Being Blamed for Layoffs — While Creating Jobs
US employers announced 573,195 job cuts through September, according to Challenger, Gray & Christmas. AI was cited in 120,136 of those cuts, or about 21% of the total, making it the leading stated reason for job reductions.
Yet AI is also creating entirely new employment categories. Data-annotation roles accounted for about 282,000, followed by data-centre jobs at 117,000 and AI-engineering positions at roughly 105,000. AI-related job postings on LinkedIn also rose 156% between 2024 and 2025.
That means the impact on the labour market is becoming more complicated than a simple story of machines replacing people.
New AI Jobs Are Emerging Beyond Silicon Valley
Box CEO Aaron Levie said companies across banking, life sciences, manufacturing, and the legal sector are hiring technical workers or moving existing employees into positions focused on deploying AI agents. References to agent orchestration in bank job postings jumped 1,721% this year, according to hiring-data firm Draup
The pay gap is also notable. The LinkedIn figures put the median salary for AI-related positions at about $180,000, compared with roughly $80,000 across all jobs.
The emerging picture is therefore one of displacement and creation happening at the same time: some existing roles are being redesigned, while companies create demand for workers who can build, implement, and operate AI systems.
Cuban's warning implied that the decisive competition may come from another employee who can use AI to complete the same work faster, improve output, or take on tasks that previously required several people.
In all, Cuban's message is blunt. He believes learning how to use AI may increasingly be less about getting ahead and more about avoiding being left behind.
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