Concerns about AI's impact on the workforce are intensifying as advancements continue. A November study from MIT estimates that 11.7% of jobs could be automated with current AI technology. Employers are already cutting entry-level positions and citing AI as a reason for layoffs. As companies adopt AI more broadly, they may reassess their workforce needs, leading to significant changes in employment structures. A recent TechCrunch survey revealed that venture capitalists believe AI will significantly affect the enterprise workforce by 2026, even though the survey didn't explicitly ask about this. Eric Bahn from Hustle Fund anticipates automation in repetitive roles, but he's uncertain about the broader implications, including layoffs versus increased productivity. Marell Evans, managing partner at Exceptional Capital, predicts that as companies increase AI budgets, they will simultaneously reduce labor costs, resulting in more layoffs and a negative impact on the U.S. employment rate. Rajeev Dham from Sapphire expects a shift in budgets from labor to AI in 2026, while Jason Mendel from Battery Ventures suggests AI will evolve beyond being a tool for efficiency to automating entire job functions. Antonia Dean of Black Operator Ventures warns that companies might use AI as a scapegoat for workforce reductions, regardless of their readiness to implement AI solutions effectively. Despite claims from AI proponents that the technology enables workers to focus on higher-skilled tasks, many remain skeptical and fear job loss as automation becomes more prevalent.