Automation Creates Expert Human Work, Not Fewer Jobs

Historical precedent suggests automation doesn't eliminate jobs but shifts them toward higher-skill, higher-value work — raising the question of whether AI tax policy should assume displacement or adaptation.

AI agents save time, but workers then spend hours feeding them context, checking outputs, debugging, and cleaning up messes, a phenomenon termed 'botsitting'.

Automation shifts human work toward more complex, expert tasks rather than eliminating it.

Microsoft and Amazon investing $6B in keeping humans in AI loops (augmentation, not replacement) signals that frontier models alone can't generate value without human judgment.

Jain contradicts the common assumption that AI will shrink teams. He argues that high-capability AI will actually increase team sizes because it will expand scope of work and open new business opportunities that require additional expertise to execute.

Matan dismisses fear of AI-driven mass unemployment, arguing that labor displacement concerns are overblown and that technology historically creates more jobs than it destroys.

Man Group's strategy is to give quantitative researchers AI tools to enhance their work rather than using AI to automate away their roles.

David Solomon argues that despite rapid AI deployment across banking—from back-office operations to senior analyst roles—major banks will not experience mass white-collar job displacement.

Rather than a wholesale wipeout of banking jobs, AI deployment changes what work looks like within each role—from entry-level analyst tasks to senior banker productivity—requiring workers to adapt but not disappearing entirely.

While AI will eliminate many jobs, it may not lead to mass unemployment because new, more human-centric roles will emerge.

As AI automates cognitive work, Friedberg predicts a boom in in-person, human-delivered services.

Rodriques addresses skepticism about whether AI will replace human scientists in 20 years, implying the answer is no and that humans remain integral to the scientific process.

Gil uses AI tools throughout his real estate business—from deal sourcing to tenant communication to maintenance scheduling—allowing him to manage 58 units without hiring external property management firms, preserving margin and control.

Pal argues that automation, including AI, historically leads to new categories of jobs rather than structural unemployment.

A referenced NBER paper distinguishes between A.I. creating genuinely new types of work versus simply producing more of the same work.