{"id":116176,"date":"2026-07-23T08:57:08","date_gmt":"2026-07-23T08:57:08","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/116176\/"},"modified":"2026-07-23T08:57:08","modified_gmt":"2026-07-23T08:57:08","slug":"american-billionaire-mark-cubans-warning-to-companies-using-ai-agents-to-replace-workers-remember-employees-know-that-they-will-be-fired","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/116176\/","title":{"rendered":"American billionaire Mark Cuban’s ‘warning’ to companies using AI agents to replace workers: Remember, employees know that they will be fired"},"content":{"rendered":"

\"AmericanMark Cuban argues AI agents may overlook human judgment in business decisions. He believes people understand consequences which AI models currently do not grasp. Anthropic’s report suggests AI has not yet significantly increased unemployment rates. AI currently augments human expertise rather than fully replacing workers. Experts note AI’s rapid advancement while human oversight remains essential. \u200bMark Cuban<\/a> has argued that companies using AI agents as a replacement for employees could overlook human judgment in business decisions. The billionaire investor and Shark Tank judge said that human workers understand the consequences of their actions in ways AI models currently do not. His comments came in response to a discussion on the microblogging site X (formerly Twitter) on whether AI has begun affecting employment in the US\u200bReplying to Box CEO Aaron Levie on X, Cuban wrote that businesses should not treat AI and white-collar workers as mutually exclusive. “People know what will get them fired,” he said, adding that AI models lack real-time judgment and awareness of workplace dynamics.\u200b<\/p>\n

Read Mark Cuban\u2019s full tweet here<\/p>\n

\u200bIn his X post, Cuban wrote, \u201cModels don\u2019t know the consequences of their actions. People know what will get them fired. Models suffer from information latency. People understand what they see right in front of them. 2 skills AI won\u2019t have for a long, long, long time. If ever. 2 skills that are invaluable to every business decision. How often in business do you need to \u201cread the room\u201d and make a decision? Add AI productivity to the real-time capacity and judgement of humans, and you will get the greatest return on both investments.\u200bThe challenge is management understanding how to leverage the combination, and forgetting the original expectation that AI and white-collar workers are mutually exclusive. They are not. Done right, the combo is a business propellant and competitive advantage.”\u200b<\/p>\n

Debate began with Anthropic’s report on AI and employment<\/p>\n

\u200bCuban’s remarks followed a post by Anthropic’s Head of Economics, Peter McCrory, who shared a report titled \u201cWhy hasn\u2019t AI increased unemployment?\u201d The report argued that despite widespread AI adoption in the US, there is currently no evidence that AI has caused a material increase in unemployment.\u200bMcCrory said the US labour market remains close to full employment, while AI has so far functioned as a “skill-biased” and labour-augmenting technology that complements human expertise rather than replacing it. He noted that although AI automates some tasks, human oversight remains necessary for planning, evaluation and complex decision-making.\u200bThe report also said workers in AI-exposed occupations have expressed greater concern about job losses, but unemployment rates in those roles have not increased unexpectedly. It added that AI capabilities are advancing rapidly, though whether future systems could lead to broader labour displacement remains uncertain.\u200b<\/p>\n

Box CEO Aaron Levie says AI still depends on people<\/p>\n

\u200bResponding to McCrory’s findings, Levie, the chief executive of AI-based content management tool company, said current data suggests AI has had a smaller impact on employment than many expected because it still depends on people to generate value.\u200b”Very good post from the Head of Economics at Anthropic. They\u2019re finding that jobs have been less negatively impacted by AI than expected, as we continue to see time and time again in the data,\u201d he wrote.\u200bLevie added that AI is currently better suited to automating specific tasks rather than entire jobs, allowing workers to increase productivity instead of being replaced.\u200b”The reason for this is that AI – at least so far – still requires people to operate to produce value in most cases. Most jobs can\u2019t be fully automated with AI, only certain tasks in those jobs. And when you automate specific tasks, you actually can get even more output from those jobs, raising the demand (or at least maintaining it) in many cases,\u201d he added.\u200bQuoting McCrory’s report, Levie wrote: \u201cSo far, AI is both skill-biased and labour-augmenting. It complements domain expertise. It relies on humans in the loop to direct and evaluate the most complex work. And it rewards AI proficiency. Model capabilities are improving fast, but remain stubbornly jagged. To fill in the pockets of the jagged frontier, expert oversight is needed to steer incredibly capable AI systems, and to recover when they falter.\u201d\u200bHe further argued that this pattern is already visible in software engineering, where AI coding agents have increased output while continuing to require developers to manage and supervise their work.\u200b”But there will be plenty of other domains of work where demand remains strong in a world where agents can accelerate the output of that job. Jevons paradox is alive and well,\u201d Levie highlighted.<\/p>\n","protected":false},"excerpt":{"rendered":"Mark Cuban argues AI agents may overlook human judgment in business decisions. He believes people understand consequences which…\n","protected":false},"author":2,"featured_media":116177,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[8853,405,25659,59124,25673,2992,59123,7537,59125,17663,59126,9691],"class_list":["post-116176","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-aaron-levie","tag-ai-agents","tag-ai-and-employment","tag-ai-in-business-decisions","tag-ai-job-replacement","tag-ai-productivity","tag-anthropic-report","tag-artificial-intelligence-agents","tag-box-ceo-aaron-levie","tag-human-oversight-in-ai","tag-labour-market-and-ai","tag-mark-cuban"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/116176","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=116176"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/116176\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/116177"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=116176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=116176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=116176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}