"I'll run out of money."
""Humans have a far greater capacity to know the outcomes of their actions," Cuban said. "Agents and LLMs as well, never do.""
""Agents can tell you the sippy cup will fall," Cuban said. "But they have no idea of the context and what will happen next.""
""Agents are still like college interns that come in hungover, make mistakes and don't take responsibility for them," he added."
Deploying AI agents can cost more than $300 per day, amounting to over $100,000 annually for a single agent. Such high operational costs force organizations to reevaluate budgets for top developers and constrain scalable rollouts. Economic burden challenges predictions of large-scale worker replacement because firms must demonstrate that automation delivers net value over human labor. Humans maintain superior ability to foresee outcomes and apply contextual judgment that AI lacks. AI agents can predict events but often fail to anticipate subsequent consequences, exhibit inconsistency, and make mistakes without taking responsibility. Combined cost and capability gaps slow immediate workforce displacement by AI.
Read at Fortune
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