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A counterintuitive effect of AI could be alleviating "cost disease" in sectors like childcare. By automating high-productivity white-collar jobs, AI might create a new labor supply of skilled workers who then move into less-scalable, in-person service roles, stabilizing labor costs in those fields.

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The labor market is a single interconnected system. As AI eliminates white-collar roles, displaced professionals will flood the blue-collar and gig economies, increasing labor supply and creating downward wage pressure across all sectors.

AI is beginning to impact labor not by firing employees, but by reducing the need for new hires, particularly in white-collar roles like consulting and business services. This will likely suppress wage growth at the higher end, creating a natural rebalancing of the K-shaped economy from the top down.

Counterintuitively, making a task cheaper and easier with AI doesn't just eliminate jobs; it drastically increases the overall demand for that task. Just as Excel created more accountants, AI's efficiencies will lead to an explosion in the volume of work, creating new roles and opportunities.

A counterargument to mass unemployment suggests AI will dramatically lower the barrier to entrepreneurship. When one person can automate accounting, marketing, and coding, small-scale business formation becomes much easier, potentially shifting labor from traditional white-collar roles to a new wave of small businesses.

The narrative of AI destroying jobs misses a key point: AI allows companies to 'hire software for a dollar' for tasks that were never economical to assign to humans. This will unlock new services and expand the economy, creating demand in areas that previously didn't exist.

AI is rapidly automating knowledge work, making white-collar jobs precarious. In contrast, physical trades requiring dexterity and on-site problem-solving (e.g., plumbing, painting) are much harder to automate. This will increase the value and demand for skilled blue-collar professionals.

The fundamental economic shift is not just job automation but an inversion of roles. AI, as pure intelligence, will become the employer, hiring humans as contractors for physical tasks it cannot perform, like visiting a warehouse or collecting brochures. Intelligence becomes a cloud commodity, while physical presence becomes the service.

The International Monetary Fund suggests that as AI enhances high-skilled jobs and increases wages, those workers will spend more. This increased consumption creates demand and new jobs in local service sectors like restaurants and retail, partially offsetting other AI-driven job losses.

Historically, technological advancements primarily displaced blue-collar workers first. The current AI revolution is unique because its most immediate and realized disruptions are targeting white-collar, knowledge-based roles, breaking a long-standing pattern of technological impact on the labor market.

Contrary to the popular narrative, AI is not yet a primary driver of white-collar layoffs. Instead of eliminating roles, it's changing the nature of work within them. For example, analysts now spend time on different, higher-value activities rather than manual tasks, suggesting a shift in job content rather than a reduction in headcount.

AI Could Solve 'Cost Disease' by Displacing White-Collar Workers into Service Jobs | RiffOn