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Mark Cuban warns these 5 job categories are at risk due to AI

(NewsNation) — Billionaire entrepreneur Mark Cuban warns that five major business categories are increasingly at risk artificial intelligence Adoption is accelerating, especially for those working in routine, entry-level roles.

Cuban said corporate-led change is already underway weigh the cost Efficiency and efficiency of artificial intelligence systems versus human labor.

As vehicles improve and become more affordable, businesses, especially larger ones, reducing the number of staff in roles It is built around repetitive tasks.

Transition is where risk arises, Cuban says latest social media posts and interviews: “There are only two types of companies in this world: Those that are good at AI and everyone else.”

“Whether you’re an employee, you have to understand how this affects your business or how you can use it to be better at your job,” Cuban said.

Entry level white collar roles

Cuban identified entry level white collar are among the most exposed.

Jobs that focus on structured, “dual” tasks, such as data entry and bookkeeping, are increasingly being performed by AI systems that can process information faster and at scale.

This may not eliminate jobs entirely, Cuban said, but it could lead to fewer openings and slower hiring.

software development

Software development is also changing.

During Artificial intelligence-supported coding tools These are now widely used, Cuban said, as they are more likely to devalue routine programming tasks rather than directly replace developers.

Higher-level skills such as systems design and problem solving are expected to become more important, potentially making entry-level roles harder to access.

Customer service

Customer service positions facing similar pressure. AI-powered chatbots and voice systems are already addressing a growing number of basic questions.

Cuban companies will continue to expand Automation in this field is causing traditional support roles to decline and demand for workers who can manage complex or sensitive interactions to increase.

Research and data analysis

Data analysis and research tasks It is also becoming increasingly automatic. AI tools can summarize data sets, generate reports, and identify trends, overlapping with work traditionally performed by analysts.

Cuban said the focus will shift to employees who can interpret results and guide artificial intelligence systems rather than producing analyzes from scratch.

Finance, legal support roles

Finance and legal support roles complete the list.

Routine tasks such as document review, compliance checks and basic accounting functions are particularly vulnerable to automation. explained on the internethowever, experienced professionals may still be in demand.

Cuban urges workers to learn, not rely on artificial intelligence

Despite the warnings, Cuban does not foresee a widespread collapse in employment.

Instead, he described this moment as a period of disruption similar to past technological shifts in which some roles diminished but new ones emerged, such as the rise of personal computers.

He argued that humans hold a significant advantage: The ability to understand context and predict outcomes. He said AI systems can process information but lack real-world awareness and consistency and sometimes produce unreliable results.

Cuban’s advice to workers is to adapt quickly by learning how to use AI tools rather than avoiding them. He also urged job seekers to consider smaller companies where AI skills could have a more visible impact, rather than large organizations with established systems.

“The biggest mistake,” he said, is trusting artificial intelligence to do the thinking.

Workers who use this to deepen their understanding and develop new skills are more likely to remain competitive as the labor market improves, he added.

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