Will AI automation result in a net job loss of over 10% of the current US white-collar workforce by the end of 2030?

The Displacement vs. Augmentation Debate

While studies suggest that AI could transform 30% of white-collar work (Harvard) or that 25% of tasks are fully automatable (Goldman Sachs), the dominant corporate strategy (according to McKinsey, simulated late 2025 context) is augmentation, not replacement. Companies are focused on using AI to increase productivity and create new, higher-value roles (e.g., 'augmented analytics'). The 10% net job loss threshold for the entire white-collar sector is considered too high for the 2030 deadline. The strong 'No' vote reflects the expectation that job creation in AI-related fields will largely offset the displacement caused by the automation of routine tasks.